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International Journal of Management (IJM) Volume 11, Issue 8, August 2020, pp. 764-783, Article ID: IJM_11_08_069
Available online at http://www.iaeme.com/IJM/issues.asp?JType=IJM&VType=11&IType=8
ISSN Print: 0976-6502 and ISSN Online: 0976-6510
DOI: 10.34218/IJM.11.8.2020.069
© IAEME Publication Scopus Indexed
ROLE OF SIX SIGMA STRATEGY TO IMPROVE
THE QUALITY OF PRODUCTION PROCESSES
TO SUPPORT INDUSTRIES IN THE KINGDOM
OF SAUDI ARABIA
Saad Alflayyeh, Ph.D.
Management Department, College of Business Administration,
Majmaah University, Majmaah, Saudi Arabia
ABSTRACT
The objective of the study was to determine the relationship between research
variables and to validate the considered study hypotheses. To set a specific
mechanism for how to implement the Six Sigma strategy in the industrial
establishments in the Kingdom of Saudi Arabia. A random sample was taken from
workers at the factories of the National Group of Industry in Riyadh Saudi Arabia at
different levels of administration and various specialties (senior management -
engineers - technicians - workers - administrators). Total 148 samples were retrieved
and considered as usable. All the considered hypotheses were tested and found valid.
A significant relationship was found between the application of Six Sigma
methodology and the achievement of the competitive advantage of the national
industries in the Kingdom of Saudi Arabia. In addition, second main hypothesis has
been validated and found a significant relationship of statistical significance between
the opinions of the study sample on the availability of the ingredients for applying the
Six Sigma methodology and the following demographic and functional variables to
them such as (gender, age, experience, educational qualification, specialization).
Further, there is a statistically significant effect relationship between the application
of Six Sigma methodology and product quality, the policy of continuous improvement,
the quality of production processes, the policy of focusing on customers, the provision
of trained human cadres.
Keywords: Six Sigma, Saudi Arabia, national industries, product quality, quality of
production
Cite this Article: Saad Alflayyeh, Role of Six Sigma Strategy to Improve the Quality
of Production Processes to Support Industries in the Kingdom of Saudi Arabia,
International Journal of Management, 11(8), 2020, pp. 764-783.
http://www.iaeme.com/IJM/issues.asp?JType=IJM&VType=11&IType=8
Role of Six Sigma Strategy to Improve The Quality of Production Processes to Support Industries
in the Kingdom of Saudi Arabia
http://www.iaeme.com/IJM/index.asp 765 [email protected]
1. INTRODUCTION
In recent times, the rapid development of many modern administrative concepts that in turn
motivate industrial and service organizations to search for the best appropriate methods and
strategies that achieve the goals of companies and enhance the quality of their services and
products, and perhaps the most famous of these concepts is the Six Sigma strategy, as it is one
of the best modern methods To improve the quality of operations and services.
Strong competitions between countries, which in turn are reflected in some industrial
sectors worldwide, have made these international organizations and companies consider that
their most important priority is to preserve their customers, increase their numbers, meet their
needs, and provide them with the highest levels of quality, accuracy, and luxury in their
products and services, and therefore seek these Industrial and service organizations to develop
and apply modern control approaches to match competition and achieve customer satisfaction
and reduce defects and then reduce production costs, by working to develop their industrial
and production strategy, and one of the most important ways and Modern quality strategies to
achieve this competition are Six Sigma strategy, As it is a disciplined and accurate strategy
that helps industrial and service organizations and companies reach high levels of quality and
reduce defects to their lowest levels and in some cases even reach a lack (Alan, 2005).
In order for the organizations and industrial companies in the Kingdom of Saudi Arabia to
face these challenges and advance the national industry in front of foreign competing
companies currently present in the Kingdom of Saudi Arabia and abroad that apply that
strategy in its industry, the Kingdom’s role must be in the application and use of this strategy
in its industry to achieve a competitive advantage, as it is considered One of the most
important strategies used in quality management and process improvement and began to
emerge and spread from the beginning of the nineties of the last century and applied through
500 companies worldwide and months of its application is Motorola where it has achieved
gains Significant during the period 1986-2001 and the gains amounted to about $ 16 billion in
five years.
And the Six Sigma strategy can make the industrial organization able to measure the
defects it has in all operations, it can scientifically remove these defects to approach zero or
free from defects, and therefore the Six Sigma approach works to link the highest quality and
the lowest costs of production and this approach applies On all productive stages, that is, it
works to redraw the manufacturing strategy to fit these goals and then achieve competitive
advantage (Anderson, 2013).
The current research seeks to activate and implement the Six Sigma strategy in the
industrial sector in the Kingdom of Saudi Arabia, which is reflected in the course on helping
companies and industrial organizations achieve a significant improvement in their
performance.
1.1. Research Problem
The Kingdom of Saudi Arabia faces great and increasing pressures in the contemporary
changes and international transformations in order to participate in global competition through
the progress of national industries and improving the quality of operations and products in a
high efficiency and at the lowest cost and quickly, which is reflected in the local product and
the recovery of the Kingdom's economy, despite the tremendous progress in the majority of
Industrial institutions in the Kingdom of Saudi Arabia, as a result of the use of advanced
technology and the use of experts specialized in production and operations management, who
work through the application of total quality management in all production and industrial
processes. However, there is still a need to continuously improve the quality of work and
Saad Alflayyeh
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reduce errors in production and industrial processes, and this reflects on the quality of national
products and gives them a competitive advantage among other products.
1.2. Importance of Research
a) Scientific importance
This research is considered one of the few researches that dealt with the implementation of the
Six Sigma strategy to support Saudi national industries. Linking the theoretical andPractical
aspects of the Six Sigma approach with the aim of supporting the national industries
In the Kingdom Saudi Arabia.
The research is in response to the recommendations of many researchers and local and
international conferences, from the importance of searching for new methodologies to work to
improve the quality of industrial products and processes using the best modern methods and
approaches.
b) Practical importance
This research derives importance from the importance of the Six Sigma approach as a method
to support the national industries in the Kingdom.
Checking the compatibility of six sigma and production methods used in the industrial
establishments in the Kingdom of Saudi Arabia.
Preparing and preparing towards implementing the Six Sigma strategy in the national
industries in the Kingdom of Saudi Arabia.
1.3. Research Objectives
To determine the relationship between research variables and validate study hypotheses.
Setting a specific mechanism for how to implement the Six Sigma strategy in the
industrial establishments in the Kingdom of Saudi Arabia.
Providing recommendations that help industrial establishments to reduce the expected
errors in industrial processes in the industrial establishments in the Kingdom of Saudi Arabia.
Supporting the national industries in the Kingdom of Saudi Arabia.
Improving product quality and gaining customer confidence in the national industries in
the Kingdom of Saudi Arabia.
1.4. Study Hypotheses
1.4.1. Core Hypothesis
There is statistically significant effect relationship between implementing the Six Sigma
strategy and supporting national industries in the Kingdom of Saudi Arabia.
1.4.2. Sub-Hypothesis
There is statistically significant effect relationship between the implementation of the six
sigma strategy and the commitment and support of senior management in implementing the
strategy.
There is statistically significant effect relationship between implementing the six Sigma
strategy and product quality.
There is statistically significant effect relationship between implementing the six Sigma
strategies and the policy of continuous improvement.
Role of Six Sigma Strategy to Improve The Quality of Production Processes to Support Industries
in the Kingdom of Saudi Arabia
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There is statistically significant effect relationship between the implementation of the six
sigma strategy and the quality of production processes.
There is statistically significant effect relationship between implementing Six Sigma
strategy and customer focus policy.
There is statistically significant effect relationship between implementing the Six Sigma
strategy and providing trained human cadres to implement the strategy.
1.4.3. Second Core Hypothesis
There is statistically significant effect relationship between the opinions of the study sample
on the availability of the ingredients for implementing the Six Sigma strategy and the
following demographic and functional variables for them such as (gender, age, experience,
educational qualification, specialization).
2. THEORETICAL FRAMEWORK OF STUDY
2.1. Defining Six Sigma
Generally the Six Sigma is a strategy that aims to improve operations in industrial and service
organizations by reducing error rates in those operations, which leads to raising the level of
customer satisfaction and reducing the cost in these organizations. According to (Choo,
2007), it is a strategy to improve operations in business organizations and to increase their
capacity through the use of statistical methods to identify, reduce and eliminate errors in
operations.
The management philosophy that organizations rely on to become more effective and
efficient by identifying customer needs, knowing their requirements and measuring their
performance in order to enable workers to obtain new ways to improve the processes in which
they work and used to remove and reduce flaws in the organization's processes and outputs
(Dany, 2010).
In addition, it as a strategy for continuous improvement that has been applied in several
industrial and service sectors. In sum, it is a philosophy of excellence, focus on beneficiaries,
and improve operations (Donald, 2006).
According to (Greg, 2005), it is an integrated management system with a high degree of
accuracy to improve the various operations of the institution provides leaders with the
methods and analytical tools necessary to solve problems and bring the process to the highest
level of quality.
2.1. Competitive Advantage Concept
A competitive advantage is defined as an institution's advantage or superiority that is achieved
if it follows a specific competition strategy (Kalen, 2003).
Furthermore, competitiveness is the skill, technology, or outstanding resource that allows
an organization to produce more values and benefits for customers than what competitors
offer them, and confirms its distinction and its difference from these competitors from the
point of view of clients who accept this difference and excellence, as it achieves more benefits
and values that outweigh what it offers they have other competitors (Kalen, 2003).
Implementing Stages of Six Sigma Strategy
Six Sigma strategies are implemented through a set of tools called the Simple
Performance Improvement Model (DMAIC) or Define-Measure-Analyze-Improve-Control. It
can be described as follows:
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Define: At the higher level, the goals will be the organization's strategic goals, such as
increasing return on investment or market share. At the operational level, the goal may be to
increase the productivity of the production department. At the project level, the goals may be
to reduce the defect level and increase productivity. Apply data mining methods to identify
potential improvement opportunities.
Measurement: Measure the current system and create valid and reliable metrics to help
monitor progress toward the goal (s) identified in the previous step and start defining the
current baseline and use a descriptive exploratory analysis of data to help understand the data
Analysis: To determine ways to eliminate the gap between the current performance of a
system or process and the desired goal. Applying statistical tools to guide the analysis.
Improving: System improvement and creativity in finding new ways to do things better,
cheaper or faster, using project management and other planning and management tools to
implement the new approach and using statistical methods to validate the improvement.
Control: Institutionalize the improved system by adjusting compensation systems,
incentives, policies and procedures, MRPs, budgets, operating instructions, and other
management systems. You may want to use systems such as ISO 9000 to ensure the
authenticity of the documents (Karaman and Ali, 2010).
2.2. Organizational Structure of Six Sigma Strategy
Successful management must establish a platform to ensure that performance improvement
activities have the resources to ensure successful implementation of the strategy, failure to
provide this infrastructure is the first reason 80% of all TQM applications have failed in the
past (Linderman, 2007).
The Leader: The Six Sigma strategy came to change key business value streams that
cross regulatory barriers. This is the means by which the organization's strategic goals are
achieved, and no effort can be led or led by anyone other than the CEO who is responsible for
the performance of the organization as a whole. Where the Six Sigma strategy must be
implemented from the top of the organizational hierarchy to the bottom, the goal of this
position is to lead the way of thinking, tools and procedures related to the Six Sigma approach
and helps members maintain Six Sigma practices and be responsible for implementing plans
for implementing the Six Sigma approach (M-Porter, 1993).
Heroes and Sponsor: They are high-level individuals who understand the Six Sigma
strategy and are committed to its success in large organizations and lead the implementation
of the strategy a high-level hero, such as the Executive Vice President and in all institutions
there are heroes other than the official leaders who use the Six Sigma strategy in their daily
work and reach its message at every opportunity, as for the sponsors They are the owners of
processes and systems who help initiate and coordinate strategic improvement activities in
their areas of responsibility (Navin, 2005).
The main black belt: This is the highest level of technical and organizational
competence. Master Black belts provide the technical leadership of the Six Sigma strategy
and therefore must know everything the Black Belt knows, as well as understand the
mathematical theory underlying statistical methods. Master Black Belts should be able to
assist "Black Belts" in applying technical and statistical methods correctly and whenever
possible, statistical training should be conducted by Master Black Belt only. Otherwise, the
familiar "spread of error" phenomenon will occur, that is, the black belts pass mistakes to the
green belts, which convey greater errors to the team members. Thus it is necessary for black
and green belts to provide training through Master Black Belts (Pande, 2000).
Role of Six Sigma Strategy to Improve The Quality of Production Processes to Support Industries
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Black Belt: It is one of the most important roles in the Six Sigma strategy, as the Black
Belt is a permanent job and this person investigates the opportunities for influencing change
and then applies them to achieve results. The Six Sigma teams (do not work effectively unless
there is a strong black belt that has many skills such as the ability to solve problems and
collect and analyze information and experience Organizational, leadership, training and good
managerial sense in addition to familiarity with project management, the Black Belt works
with the team assigned to the Six Sigma project and is responsible for these teams and for the
time to start the project and helps the team to build confidence in themselves and their work
and participate in their training and maintain continuity The project's aim to achieve the
expected results is usually the black belt of middle management and is described as the savior
who changes the organization and provides opportunities for change (Richard, 2002).
Green Belt: Green belts are leaders who are able to form and facilitate six sigma teams
and manage six sigma projects from the start which is the induction phase to completion. The
training consists of five days of training and is conducted in conjunction with project work the
training covers project management, quality management tools, quality control tools, solution
Problems, metadata analysis (Schroeder, 2006).
2.3. Difference Between Six Sigma and TQM strategy
Customer Orientation: Customer orientation is an important principle in quality management
Deming (2000) and other quality scientists have always emphasized the importance of
understanding customer requirements, and the new in the Six Sigma strategy is the
unprecedented emphasis and support that was developed for this principle, and the benefits of
the project must be clearly visible From a customer and organizational perspective, customer
guidance is used as a principle for project selection and prioritization by the Project Selection
Committee (Kato, 2004).
Engaging in Leadership: The success of quality management efforts requires strong
support from senior management, and the Six Sigma strategy makes senior executives act as
champions and they participate directly in projects. This includes selecting the right projects
and receiving participation from the organization. Black belts (full-time improvement project
leaders) are chosen not only because of their technical knowledge but also their leadership
skills, and leadership must act proactively rather than wait until events reach, i.e. setting
ambition goals, constantly reviewing them, setting clear priorities and focusing on preventing
problems from occurring Instead of occurring and treating (Qual, 2001).
Continuous improvement at Organization Level: Six Sigma differs from traditional TQM
programs in that it requires the organization to use "black belts" and create an organizational
structure dedicated to improvement. The structure includes roles such as Green Belt, Black
Belt, Master Black Belt, and Champions. It is the agreement in Six Sigma to choose only the
best employees in the organization to fill in the black belt sites and this dedication leads to
effective improvement and makes efforts easy to measure (Grog, 2002).
The organized Method: Compared to previous quality programs, the Six Sigma strategy is
highly instructive in claiming that each project must strictly follow the combined DMAIC
method. This method supports structured exploration of the root causes and orderly control of
the process to produce the desired outcomes. Focusing on commitment in a standard way
helps create a common language across the organization, which is useful for creating and
disseminating knowledge (Davis, 2003).
Focus on the Meter: The Six Sigma strategy relies on focusing on metrics, whether in
customer service or financial management. The strategy emphasizes accurate tracking of
metrics to ensure benefits are obtained from improvement projects. All projects must have
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specific and clear goals that are expressed in standards such as Critical-to-Quality and each is
audited Project carefully on the desired benefits accrued and realized, and from a financial
standpoint and approved by the financial management of the organization or even the Chief
Financial Officer (Slack, 2004).
Profitable Cooperation: It means not isolationism, i.e. rapid movement and direct contact with
workers, knowing the opinions of customers, knowing their problems and spreading the spirit
of cooperation between departments and administrative structures in the form of a single team
and avoiding creating a spirit of individual competition, but rather the goal of creating the
spirit of cooperative work to compete to provide the best service free of defects, and thinking
for One issue offering the best for customers (Wacker, 2004).
Attitude towards mastery and tolerance of mistakes: The two approaches are
complementary, so adopting the Six Sigma strategy and adopting new and advanced methods
there must be risks and fears of possible consequences and errors. Therefore, if any institution
aspires to reach a high degree of mastery, it must accept the idea of setbacks and obstacles.
What is required is the ability to manage and overcome these crises (X-Zu, Fredendall, and
Douglas, 2008).
2.4. Vital Challenges in Implementing Six Sigma Strategy
There are many challenges facing the implementation of the strategy and many research
matters have been identified in this research that may lead to fruitful insights and knowledge
of how to implement the strategy and its relationship to other concepts.
1. Weak communication between departments in the institution: As a result, it is
difficult for the employees of the institution to participate in the implementation of the
Six Sigma strategy, as well as poor training on the job and the presence of real and
effective leadership (Zhang and Xu, 2008).
2. Poor financial financing: Failure to allocate sufficient financial resources to
implement the strategy is considered one of the most important obstacles, as experts
and training courses must be used to train workers inside and outside the work to
implement the strategy, all of which requires significant financial support (Vote, &
Huston, 2005).
3. Wrong allocation of resources: One of the most important constraints in which
enterprise management is located is the unjust distribution of the institution's
resources. In some institutions, the marketing aspect is concerned with the production
side, and the technological aspect is also concerned, and the training aspect is
neglected on these modern technologies (Valerie, 2006).
4. Lack of data: Lack of accurate data on the operations or the quality required to
implement the strategy, as the stage of data collection takes a lot of time too much
(Vincent, 2004).
5. Weakness of the regulatory system: The implementation of the Six Sigma strategy
requires great efforts in the various types of control operations, including forward
control, self-monitoring, and control that is carried out through feedback (Douglas,
2004).
6. The weakness of the technical system used: Oftentimes, enterprise management
does not believe in keeping pace with modern technological change, relying on
equipment and machinery in the factory, as they consider it luxury, not development
(Dave, 2006).
7. Weak performance evaluation system: There must be a fair and objective
performance evaluation system in order to evaluate the elements of the production
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process in a correct and accurate manner, but in many cases the evaluation system is
weak, which causes many technical and administrative problems, and this is reflected
in the quality of work performance as a whole, including lack of interest in applying
modern quality strategies of Six Sigma (Darlene, 2004).
8. The absence of a system to measure customer satisfaction: Feedback operations,
including receiving complaints from customers and suppliers, are considered one of
the most important processes that give the management of industrial and service
institutions the correct data and information, which in turn contributes to improving
the quality of operations and products, and their omission is considered one of the
most important obstacles (Vincent & Joel, 2004).
9. Poor planning and non-linking plans to implement the strategy:
a) Reducing waste
The policy of reducing losses aims to reduce losses in all production processes and this policy
is characterized by that it helps to get rid of many of the losses that are usually considered
imperative because many view the time of adjusting the stomach as a natural matter and must
coexist with it, as is the case with regard to inventory and equipment breakdowns and waiting
times and times The transportation and waste reduction policy enables the waste to be greatly
reduced and make the production process very efficient. This policy (system) is called by
several names in English, such as: Just In time, Lean Production• Lean Manufacturing, etc.
(Douglas & Eric, 2004).
b) Improve service and quality
It comes through the application of the Six Sigma strategy to improve the service and quality
level by employing the four administrative processes (planning, organizing, directing and
controlling) in a correct and correct way in achieving the requirements of the customer or
consumer and accomplishing what gets their satisfaction with keenness to follow up after
consumption and obtain a customer evaluation of the product and work To continuously
improve product quality. The total quality management aims primarily to achieve the highest
levels of customer satisfaction through the products or services offered by matching the
requirements of the customer with the specifications of the products with accuracy and high
efficiency (Darlene, 2004).
c) Self-financing:
Importance of applying the Six Sigma strategy is to enable the institution to be able to self-
finance and is intended to use the funds of the institution itself, as well as the funds resulting
from the institution's operations and trade or savings in the financing needs of the institution.
In other words, the self-financing is that you do not resort to the search for an external
financier of the institution and there are several forms and methods of self-financing, the most
important and what is appropriate for the Six Sigma strategy is to reduce expenses: and it can
be considered indirect financing, where the expenses and expenses are reduced, and the
institution has provided Part of the funds are suitable to be financing that will be used for it
(Dave, 2006).
3. RESEARCH METHOD & SUGGEST SAMPLING
3.1. First: Human Field of Research
A random sample was taken from workers at the factories of the National Group of Industry
in Riyadh at different levels of administration and various specialties (senior management -
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engineers - technicians - workers - administrators) and the number (148) singles, where (168)
questionnaires were retrieved (11) questionnaires Of them, (9) other incorrect questionnaires
were excluded, so that the correct questionnaires on which statistical treatment depends (148)
are single.
3.2. Second: Spatial Field of Research
The National Corporation for Industry in Riyadh is one of the largest industrial groups in the
Kingdom of Saudi Arabia; the number of employees reaches 2300 employees, and includes a
number of strategic units that are interconnected among them to manufacture products with
international specifications:
National Foodstuff Factory: Produces various foodstuffs including juices and
tomato paste.
National Company for Containers: Produces cans and metal containers.
National Paper Products: a factory for producing all kinds of cardboard.
Al Watania Plastics: This factory produces a variety of plastic products that are
suitable for use in many industries.
National Building Materials: produces different types of bricks and tiles.
Capping Systems Factory - CAPEX: located in Dubai, it specializes in
manufacturing round and easy-to-open covers.
4. STUDY ANALYSES
4.1. Descriptive Statistics
Table (1) clarifies that the research sample is 67% male and 33% female, and this reflects that
the majority of males are in the factories of the National Industries Group, because the work is
more arduous than administrative work and the rest of the female work in administrative
work.
Table 1 Distribution of the Sample
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In addition Table (1) Clarifies that the youth category represents the largest percentage of the study
sample, as it reaches 75% of the research sample.
4.2. Validity and Reliability Measurement
The validity and reliability of the research tool was measured, and the questionnaire list is
made up of 6 variables by measuring the Pearson correlation coefficient and the corrected
correlation coefficient for Spearman as follows:
Table 2 Shows the distribution of the variables of the research tool and the measurement of the
reliability and reliability coefficient
Probability
Value
Spearman
Probability
Value
Pearson
Correlation
Coefficient
Number of t
Paragraphs Study Variables S.No
0.000
0.870
0.865
5
The commitment and support of senior
management towards applying the Six
Sigma methodology
1
0.000
0.741
0.689
6
The policy of continuous improvement
by applying the Six Sigma methodology
2
0.000
0.789
0.741
6
Providing trained human cadres to apply
the Six Sigma methodology
3
0.000
0.845
0.862
6
The quality of production processes as a
result of applying the Six Sigma
methodology
4
0.000
0.736
0.624
4
Quality of products as a result of
applying the Six Sigma methodology
5
0.000
0.799
0.763
4
Customer focus policy according to Six
Sigma methodology
6
0.000 0.797 0.757 31 Total paragraphs / averages values
The previous table shows that the coefficient of stability of the axes is high between 0.624
and 8.65 by the Pearson coefficient method. For the stability of the study instrument, it must
not be less than 60%.
4.3. Arithmetic Mean and Standard Deviation
Table 3 Arithmetic Mean and Standard Deviation
Arrangement Standard
Deviation Arithmetic Mean Paragraph S. No
2
0.75
4.36
Senior management is concerned
with the quality of services and
products alike
1
1
0.72
4.55
Senior management is concerned
with achieving the highest levels of
quality in the industrial group
2
3
0.68
4.11
Senior management has a strategic
plan, one of its first goals is to
achieve total quality
3
5
0.66
3.99
A culture of quality is spread
among all managers in the
industrial group in all their
technical specializations
4
4
0.79
4.05
There is an independent quality
control department with senior
management powers to implement
the Six Sigma methodology
5
High Rate 0.72 4.21 Total Average
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Table (3) shows that the arithmetic mean of the variable are the commitment and support
of higher management and product quality ranges between 3.99 - 4.55 as the general average
is 4.16 which is high and with a standard deviation of 0.72 as the highest ratio which is the
paragraph (higher management is concerned with the quality of services and products alike)
And the lowest percentage of the paragraph is (quality culture is spread among all managers
in the industrial group over their various technical specializations) This reflects that there is
support from senior management to apply the Six Sigma methodology, but the quality culture
between managers is not published in the right way and this will cause an obstacle to the
application of the methodology Because it is supposed to Quality culture to spread all
administrative levels, not just senior management.
Table (4) shows that the arithmetic mean of the axis of the policy of improvement and the
quality of production processes range between 3.81 - 4.85 as the general average is 4.36
which is high and with a standard deviation of 0.85 as the highest ratio which is the paragraph
(quality standards and standards are updated in the industrial group) and the lowest paragraph
percentage
Table 4 Arithmetic mean and standard deviation for the responses of individuals searching for the axis
of continuous improvement policy by applying the Six Sigma methodology.
Arrangement Standard Deviation Arithmetic Mean Paragraph S.No
2
0.83
4.83
The level of product satisfaction
is continually evaluated by
consumers
1
4
0.91
4.22
Through forward control,
deviations are measured,
addressed and improved
2
3
0.86
4.64
There is statistical control at the
highest levels to address the
opinions of the beneficiaries of
the products
3
1
0.79
4.85
The industrial standards and
quality standards are updated
4
5
0.89
3.85
Measurement of product quality
is carried out by the beneficiaries,
technicians, engineers, and
workers.
5
6
0.80
3.81
Periodic reports on performance
quality are issued and circulated
to all employees of the industrial
group
6
High Rate 0.85 4.36 Total Average
It (periodical reports on the quality of performance are issued and circulated to all
employees of the industrial group) and this reflects that attention is being paid to everything
that is new about improving the performance of production processes within the industrial
group and there are statistical methods at the highest level to measure the application of the
Six Sigma methodology and measure the quality of performance, which reflects the Interest of
top management processes of continuous improvement
Table (5) shows that the arithmetic mean of the variable is to provide trained human
cadres to apply the six sigma methodology ranging from 3.93 to 4.73 as the general average is
4.33 which is high and with a standard deviation of 0.88 as the highest ratio which is the
paragraph (providing qualified and trained human resources is taken into account In the
improvement and development processes (and the lowest percentage of the paragraph is) the
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vision and mission of the industrial group that focuses on quality and meeting the needs of
customers is published to workers through meetings and workshops held continuously) and
this reflects that the higher management believes in the importance of trained human cadres
because the improvement operations are only carried out from During the workers With
capabilities and high skills in general and on the knowledge and knowledge of the objectives
and methodology of Six Sigma in particular.
Table 5 Shows Arithmetic Mean and Standard Deviation for the responses of individuals searching for
an axis to provide trained human cadres to apply the Six Sigma methodology
Arrangement Standard
Deviation Arithmetic Mean Paragraph S.No
2
0.93
4.66
The employees of the industrial group
have the skills and training courses
required to apply the Six Sigma
methodology
1
5
0.84
4.15
The employees of the industrial group
are trained in modern techniques and
technology to apply the methodology
2
3
0.96
4.36
Training on the Six Sigma
methodology will be part of the
comprehensive quality management
training plan
3
1
0.82
4.73
The provision of qualified and trained
human resources is taken into
consideration in improvement and
development processes
4
4
0.89
4.16
Industrial group employees are trained
on how to meet customer requirements
in accordance with specific quality
standards.
5
6
0.84
3.93
The vision and mission of the industrial
group that focuses on quality and
meeting the needs of customers for
workers is published through meetings
and workshops that are held
continuously
6
High Rate 0.88 4.33 Total Average
Table (6) shows that the arithmetic mean of the axis of the quality of production processes
range between 4.14 - 4.82 as the general average is 4.43 which is high and with a standard
deviation of 0.86 as the highest ratio, which is the paragraph (uses advanced technology and
statistical methods to design production strategies in the industrial group) and less The
percentage of the paragraph is (weaknesses are identified by forward control during
production processes and addressed before the product reaches the final stage) and this
reflects that advanced technology and technology dominates the idea of senior management
because it believes that the Six Sigma methodology cannot be applied nor a higher
achievement Quality in production processes except through advanced technology and
modern statistical methods, but it is clear that the front control operations during the
production process are not applied well from production management, but rather rely on
feedback reports, and this is not preferred when applying the Six Sigma methodology.
Saad Alflayyeh
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Table 6 Arithmetic mean and standard deviation for the responses of the research personnel on the
axis of quality of production processes as a result of applying the Six Sigma methodology
Arrangement Standard
Deviation Arithmetic Mean Paragraph S.No
6
0.82
4.14
Weaknesses are identified by front control
during production operations and addressed
before the product reaches the final stage
1
3
0.91
4.37
The Industrial Group's production
department relies on modern technical
methods used to gather information and to
evaluate quality control processes.
2
1
0.86
4.82
Advanced technology and statistical
methods are used to design production
strategies in the industrial group
3
2
0.79
4.72
Operations are relied upon to design work
methods for factory departments and
production lines
4
5
0.84
4.19
The industrial group has a system to reduce
the defects of production lines before
applying the Six Sigma methodology
5
4
0.99
4.32
The production processes have been fully
automated to follow the standards of
international quality standards ISO 9001.
6
High Rate 0.86 4.43 Total Average
Table 7 Arithmetic mean and standard deviation of the responses of individuals searching for the axis
of product quality as a result of applying the Six Sigma methodology
Arrangement Standard
Deviation Arithmetic Mean Paragraph S.No
2
0.90 4.55 There is a way to measure costs and the
quantity of products damaged to control
product quality
1
1
0.88 4.65 There is a way to reduce production defects in
preparation for applying the Six Sigma
methodology
2
3
0.91 4.51 The products provided to customers are of
high quality and different from competitors'
products
3
4
0.89 4.34 Factory management is concerned with pre-
and after-sales service to distinguish its
products from competitors
4
High Rate 0.89 4.50 Total Average
Table (7) shows that the arithmetic mean of the axis of product quality range between 4.34
- 4.65, as the general average is 4.50, which is high and with a standard deviation of 0.89,
where the highest percentage, which is the paragraph (there is a clear mechanism to reduce
production defects in preparation for applying the Six Sigma methodology) and the lowest
ratio The paragraph is (the factory management is concerned with the service before and after
the sale to distinguish its products from competitors) and this reflects that the production
group in the industrial group has a good readiness to prepare for the application of six sigma
methodology in order to strive to control the quality of production processes and products and
also reflects that the industrial group has all its focus at this time on quality control a The
praise of the production process, not pre- and post-sale services at the present time
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Table (8) shows that the arithmetic mean of the axis of product quality range between 4.09
- 4.94, where the general average is 4.65, which is high and with a standard deviation of 0.87,
where the highest ratio, which is the paragraph (applying the Six Sigma methodology, is one
of the most important goals of the industrial group to achieve the desires of customers) And
the lowest percentage of the paragraph is (there is an independent administration that follows
the top management in the organizational structure to receive customer complaints) and this
reflects that the most important priorities of the top management is the application of a six
sigma methodology in order to reach the fulfillment of customer desires and thus achieving
advanced positions in the local market and from there to the global markets and also reflects
this Proportions Paragraph with the last order that the administration of complaints does not
work well to achieve an ambitious customer and it is clear that the study of complaints in the
delayed presentation to senior management, delaying the application of Six Sigma
methodology as required to achieve competitiveness.
Table 8 Arithmetic mean and standard deviation for the responses of the individuals searching for the
focus of the customer focus policy according to the Six Sigma methodology
Arrangement Standard
Deviation Arithmetic Mean Paragraph S.No
2
0.88
4.82
The industrial group has a Marketing
Research Department that analyzes customer
requirements
1
1
0.91
4.94
The application of the Six Sigma
methodology is one of the most important
objectives of the industrial group to achieve
the desires of customers
2
3
0.89
4.77
The industrial group has an advisory board
made up of clients and employees to take
their proposals for product and service
development
3
4
0.79
4.09
There is an independent department that
follows the senior management in the
organizational structure to receive customer
complaints
4
High Rate 0.87 4.65 Total Average
4.4. Validity of Core Hypothesis and Sub-Assumptions
Table (9) shows that the value of F (calculated) 7.654 is greater than the value of F (tabular)
2.646 and for this we reject the zero hypothesis and accept the alternative hypothesis where
there is a statistically significant effect relationship between in applying the Six sigma
methodology and the commitment and support of senior management in applying the
methodology Also, the receiver variable has commitment and support for senior management
(R2) with a percentage of (0.611) affected by the dependent variable applying the Six Sigma
methodology (R) with a ratio of (0.845), and this shows that whenever the higher
management adheres to applying the Six Sigma methodology, this is reflected positively on
the rest of the elements of applying the methodology and this The commitment comes by
setting a firm plan to implement the methodology and support management Crown and
administration of technical financially and morally in order to become a strategic goal on the
long-term goal and will appear in the operational plans of the industrial group, which achieves
excellence and competitiveness of its industrial products group.
Saad Alflayyeh
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Table 9 Core & Sub-Hypothesis Test
Calculated F F Tabulated Sig R R2
7.654 2.646 0.000 0.845 0.611
Table (10) shows that the value of F (calculated) 8.122 is greater than the value of F
(tabular) 3.645 and for this we reject the zero hypothesis and accept the alternative hypothesis
where there is an effect of statistical significance between in the application of the method
(Six sigma) and the quality of the products and also that the future variable is quality Products
(R2) with a rate of (0.540) affected by the dependent variable. The impact of the Six Sigma
methodology (R) at (0.733). This shows that whenever the interest in applying the Six Sigma
methodology is reflected, this is reflected in the quality of the products, because the
ingredients for applying the Six Sigma methodology aim to improve Processes and
consequently, products are improved through continuous improvement and feedback resulting
from business opinions And beneficiaries as a result realized the competitive advantage of
industrial group in the industrial sector in the Kingdom of Saudi Arabia.
Table 10 Second Sub-Hypothesis Test
Calculated F F Tabulated Sig R R2
8.122 3.645 0.000 0.733 0.540
Table (11) shows that the value of F (calculated) is 5.497 whose value is greater than the
value of F (tabular) 1.753 and for this we reject the zero hypothesis and accept the alternative
hypothesis where there is a statistically significant effect relationship between in applying the
Six sigma methodology and the policy of continuous improvement and also that the future
variable Continuous improvement policy (R2) by (0.597) is influenced by the dependent
variable. The application of the Six sigma methodology (R) by (0.836). This shows that
whenever the interest in applying the Six Sigma methodology is reflected, this is reflected in
the adoption of the policy of continuous improvement, which is an inverse relationship as the
constituents of Six Sigma methodology is applied to the policy of continuous improvement,
and consequently, products and processes are improved Qiq employee satisfaction and as a
result achieved industrial group and leadership and competitiveness in the industrial sector in
the Kingdom of Saudi Arabia.
Table 11 Third Hypothesis test
Calculated F F Tabulated Sig R R2
5.497 1.753 0.000 0.836 0.597
Table (12) shows that the value of F (calculated) is 4,866 whose value is greater than the
value of F (tabular) 2.441 and for this we reject the null hypothesis and accept the alternative
hypothesis where there is an effect of statistical significance between in the application of the
method (Six sigma) and the quality of production processes and also that the receiver variable
The quality of productive processes (R2) by (0.388) is influenced by the dependent variable.
The application of the Six sigma methodology (R) at (0.741), and this shows that whenever
the interest in applying the Six Sigma methodology is reflected, this will improve the quality
of production processes by using statistical control methods of quality. Productive processes
As a result, the industrial group achieves leadership, and technology VS in the industrial
sector in the Kingdom of Saudi Arabia
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Table 12 Fourth Hypothesis Test
Calculated F F Tabulated Sig R R2
4.866 2.441 0.000 0.741 0.388
Table (13) shows that the value of F (calculated) is 6.147, its value is greater than the
value of F (tabular) 3.101 and for this we reject the null hypothesis and accept the alternative
hypothesis where there is an effect of statistically significant effect between the application of
the Six sigma methodology and the policy of focusing on customers and also that The future
variable The policy of focusing on customers (R2) by (0.233) is influenced by the dependent
variable. The application of the Six sigma methodology (R) by (0.644). The application of the
methodology is to improve the operations and then improve the products, and in this way
customer satisfaction is achieved and as a result the group has achieved Industry leadership
and competition in the industrial sector in the Kingdom of Saudi Arabia.
Table 13 Fifth Hypothesis Test
Calculated F F Tabulated Sig R R2
6.147 3.101 0.000 6.444 0.233
Table (14) shows that the value of F (calculated) is 5.127, its value is greater than the value of
F (tabular) 2.121 and for this we reject the null hypothesis and accept the alternative
hypothesis where there is a statistically significant effect relationship between in applying the
Six sigma method and providing trained human cadres to apply the methodology and also The
receiving variable is to provide trained human cadres to apply the methodology (R2) at a rate
of (0.255) influenced by the dependent variable applying the methodology (Six sigma) (R) at
(0.744), and this shows that whenever the interest in applying the Six Sigma methodology is
reflected in the importance of providing human cadres Trained to apply the methodology, and
this requires specialized training programs that he can only absorb if available I have the
industrial group human cadres with certain efficiency and as a result achieved leading
industrial group and compete in the industrial sector in the Kingdom of Saudi Arabia.
Table 14 Sixth Hypothesis Test
Calculated F F Tabulated Sig R R2
5.127 2.121 0.000 0.744 0.255
4.5. Verifying the Validity of Second Hypothesis
There is no statistically significant effect relationship between the opinions of the study
sample on the availability of the ingredients for applying the Six Sigma methodology and the
following demographic variables for them such as (gender, age, experience, educational
qualification, specialization) at the level of significance (0.05)
Table 15 Multiple Regression Analysis tests to measure the effect of gender on availability of the
ingredients for applying the Six Sigma
Dependent variable (R) (R2) Calculated F DF Sig β T Sig
The ingredients of
applying Six
Sigma
methodology
0.798 0.811 37.051 148 0.000 0.206 3.111 0.044
The previous table shows the presence of a statistically significant effect between the
components of applying the Six Sigma methodology and the gender variable if the correlation
coefficient reached (0.798) at the significance level (0.05) while the limiting coefficient
Saad Alflayyeh
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reached (0.811) as the degree of impact (0.206) of the independent sex variable and confirms
the significance of the effect The calculated value of F, which amounted to (37.051), which is
a function at the level of (0.05). This shows that the industrial group males occupy technical
and engineering jobs, which in turn are interested in applying the Six Sigma methodology to
achieve efficiency and effectiveness in their work and to improve the outputs of the
production process, and therefore the nil assumption is accepted and we accept the hypothesis
alternative.
Table 16 multiple regression analysis tests to measure the effect of age on the availability of the
ingredients for applying the Six Sigma methodology in the industrial group
Dependent variable (R) (R2) Calculated F DF Sig β T Sig
The ingredients of
applying Six Sigma
methodology
0.803 0.736 34.145 156 0.000 0.198 2.897 0.049
The previous table shows the presence of a statistically significant effect between the
components of the Six Sigma methodology and the age variable if the correlation coefficient
reached (0.803) at the significance level (0.05). As for the determination coefficient it reached
(0.736) and the degree of impact (0.198) for the independent age variable and confirms the
significance of the effect The calculated value of F, which amounted to (34.145), which is a
function at the level of (0.05), and this shows that the age variable reflects that whenever
young people are assigned to technical and engineering jobs, they are very interested in
improving the production process because they have the energy in dealing with modern
technology and new statistical techniques, and therefore the assumption is rejected. Nihilism
and accept hypothesis a Alternative.
Table 17 multiple regression analysis tests to measure the effect of experience on the availability of
the ingredients for applying the Six Sigma methodology in the industrial group
Dependent variable (R) (R2) Calculated F DF Sig β T Sig
The ingredients of
applying Six Sigma
methodology
0.764 0.864 36.465 163 0.000 0.236 2.598 0.041
The previous table shows the presence of a statistically significant effect between the
elements of the application of the six sigma methodology and the experience variable if the
correlation coefficient reached (0.764) at the significance level (0.05) while the limiting
coefficient has reached (0.864) as the degree of impact (0.236) of the independent variable
has experience and confirms the significance of the effect The calculated value of F, which
amounted to (36.465), which is a function at the level of (0.05), and this reflects the
importance of the elements of expertise in the industrial group to apply the six sigma
methodology as it is a large degree of complex statistical operations and writing reports needs
specialists in statistical control of quality and on this basis the assumption is rejected Nihilism
and accept alternative hypothesis.
Table 18 multiple regression analysis tests to measure the effect of the educational qualification on the
availability of the ingredients for applying the Six Sigma methodology in the industrial group
Dependent variable (R) (R2) Calculated F DF Sig β T Sig
The ingredients of
applying Six Sigma
methodology
0.836 0.639 35.878 153 0.000 0.296 3.879 0.048
The previous table shows the presence of a statistically significant effect between the
components of the Six Sigma methodology application and the academic qualification
variable if the correlation coefficient reached (0.836) at the significance level (0.05), while the
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determination coefficient reached (0.639), and the degree of impact was (0.296) for the
independent qualification of the academic and confirms The significance of the effect was the
calculated F value which reached (35.878), which is a function at the level of (0.05), and that
reflects that whenever higher qualifications are available in the industrial group, this leads to a
good application of the methodology as the higher qualifications and graduates of engineering
and business administration colleges have a good qualification to apply the methodology and
also encourage Senior management of the Innovation and research in the field of production
management and total quality management needs to graduate qualifications and the owners of
graduate also it is rejected null hypothesis and accept the alternative hypothesis.
Table 19 Multiple Regression Analysis tests to measure the effect of specialization on the availability
of the ingredients for applying the Six Sigma
Dependent variable (R) (R2) Calculated F DF Sig β T Sig
The ingredients of
applying Six
Sigma
methodology
0.798 0.865 37.145 138 0.000 0.311 2.598 0.047
The previous table shows that there is a statistically significant effect between the
components of the Six Sigma methodology and the specialty variable if the correlation
coefficient is (0.798) at the significance level (0.05). The calculated value of F, which
amounted to (37.145), which is a function at the level of (0.05), and this reflects that the
management of the industrial group is investigating the accuracy of the recruitment processes
according to the available qualifications in the labor market and keeping pace with the
required factory specializations.
5. STUDY FINDINGS
There is support from the top management to apply the Six Sigma methodology, but the
quality culture among managers is not spread in the right way, and this will cause an obstacle
to the application of the methodology, because the culture of quality is supposed to spread at
all administrative levels, not only senior management In addition, there are statistical methods
at the highest level to measure the application of the Six Sigma methodology and to measure
the quality of performance, which also reflects the interest of senior management in the
processes of continuous improvement.
Also, the higher management believes in the importance of trained human cadres because
the improvement operations can only take place through labor with high capabilities and skills
in general and with knowledge and knowledge of the goals and methodology of Six Sigma in
particular.
Forward control operations during the production process are not applied well from
production management. Rather, they depend on feedback reports. This is not preferred when
applying the Six Sigma methodology. Also, the industrial group has all its focus at this time
on controlling quality during the production process and not pre- and post-sale services at the
present time.
Complaints management does not work well to achieve customer ambition, and it is clear
that studying complaints delays in submitting to senior management, which delays the
application of the Six Sigma method as required achieving competitiveness.
The first major hypothesis has been proven to be valid. There is a significant correlation
between the application of Six Sigma methodology and the achievement of the competitive
advantage of the national industries in the Kingdom of Saudi Arabia.
Saad Alflayyeh
http://www.iaeme.com/IJM/index.asp 782 [email protected]
The second main hypothesis has been validated, as there is a significant relationship of
statistical significance between the opinions of the study sample on the availability of the
ingredients for applying the Six Sigma methodology and the following demographic and
functional variables to them such as (gender, age, experience, educational qualification,
specialization).
The hypotheses have been validated that there is a statistically significant effect
relationship between the application of Six Sigma methodology and product quality, the
policy of continuous improvement, the quality of production processes, the policy of focusing
on customers, the provision of trained human cadres.
The research questions were answered and it is true that the Six Sigma methodology can
be applied in the industrial establishments in the Kingdom of Saudi Arabia, because it has
many capabilities and ingredients that make it able to apply the methodology. This reflects the
quality of products and outputs in general, and the application of Six Sigma standards will
contribute effectively to achieving the competitive advantage of the national industries.
6. RECOMMENDATIONS
Paying attention to the generalization of the Six Sigma concept and emphasizing the
possibility of using it in industrial establishments because of its scientific importance through
reducing industrial errors and improving product quality. Emphasizing the importance of
supporting senior management by committing to applying the Six Sigma methodology and
putting it in strategic and operational plans for industrial institutions. Clarifying the
relationship between the concept of total quality management and the application of the Six
Sigma methodology. Enriching libraries with specialized references on production and
operations management, total quality management and six sigma methodology in both Arabic
and foreign languages, especially in the Arabic language, so that they are accessible to all
experiences in the Kingdom of Saudi Arabia.
Encouraging aspects related to translating the numerous literature and theories on
applying the Six Sigma methodology and introducing it in scientific courses in various
universities, to benefit from it in the process of modernization and development in the
Kingdom of Saudi Arabia at this stage. Setting customers' desires as a priority for industrial
organizations to use and use the latest strategies to improve the quality of production
processes, including achieving customers ’desires.
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