an introduction to operations management
TRANSCRIPT
Module Key concepts / Learning Goals Release timeIntroduction Four dimensions of performance
Efficient frontierOverview of the course
Week 1
1: Process Analysis Find a bottleneckCompute throughputApply Little’s LawCompute inventory turnsDeal with multiple flow units
First half: Week 1Second half: Week 2
2: Productivity Understand the sources of wasteBalance a line and compute Takt timeConduct an OEE analysisBuild a KPI tree
Week 3
3: Variety Determine the impact of set-ups on capacityAnalyze set-ups, SMEDStrategies to deal with varietyLimitations to variety
Week 4
4: Responsiveness Waiting time analysisMap out the customer journeyPredict customer loss rates
Week 5
5: Quality Analyze processes with yield losses and reworkToyota production systemSix SigmaStatistical Process Control
Week 6
Final Preparation Week
Academic Track: prepare for the final examPractitioner Track: wrap up the project
Week 7
Final Exam Week 8: the exam will be posted on Jun 17th
COP Overview
The Coursera Operations Project (COP) corresponds to a set of deliverables that students
create over the 8 weeks of the course. These deliverables will be peer graded and qualitative
feed-back from the community to the submitters is encouraged. You can learn more about the
Coursera Operations Project (COP) by watching the following video:
Coursera Operations Project (VIDEO)
Completing the COP is optional. It can be taken in addition to or instead of the academic work,
which consists of homework (HW) assignments and a final exam. This creates a total of four
ways in which a student can participate in the course. The below table summarizes these four
ways alongside with the resulting certifications:With Course Project Without Course Project
With HW/Exam Ops Master Certificate Ops Academic Certificate
Without HW/Exam Ops Practitioner Certificate Audit
Required COP Deliverables
In specifying the COP deliverables, we have to strike a balance between the idiosyncrasies of
the participating students and their business environment with the need of keeping the COP
sufficiently close to the academic part of the course.
We attempt to be flexible and accommodating to the specific business situations that students
face by asking the students to use a very general problem solving process that has been
successfully applied across an array of industries. This process consists of (1) Broad problem
definition (2) Specifying a desired outcome (3) Collecting data and analyzing the status quo (4)
Creating opportunities for improvement (5) Selecting one opportunity and running a small
experiment. These five steps will correspond to five deliverables.
While we allow students to pick and choose which of the academic content of the course they
apply when creating the five deliverables, we attempt to prompt them by showcasing
successful deliverables of past projects. As this course goes through new offerings, a library of
highly rated deliverables will be created that is shared with future generations of students. To
jump start this process of creating a library of successful submissions, we aim to (1) work with
a furniture company outside Philadelphia, Paul Downs Cabinetmakers, and create sample
deliverables in collaboration with the owner of the business (2) use the submission of the
Coursera operations challenge from the first program offering, potentially looping back to the
students that submitted them.
The table below shows the five step problem solving process, including the assignment
questions that will be asked to the participating students, a time line, and a set of tools covered
in the course that we feel are good candidates for supporting the COP.
Problem Solving step Question to be answered Applicable tools from the course
Timing of milestone
Sense the problem broadly
What type of operational problems do I have access to?Where do I sense a performance gap?
Four dimensions of performanceEfficient frontier
Week 2
Define a specific outcome you want to achieve
What performance measure are you trying to improve?What is the causal diagram of how this measure fits into your business?What does the process flow look like?
Operationalizing the four dimensionsKPI treesProcess flows
Week 4
Collect data and analyze the status quo
What is the constraint on the system?
Where is waste?Where is variability and inflexibility?
Seven sources of wasteOEE chartsAnalyzing arrival dataQuartile analysisRoot cause diagram / pareto charts
Week 6
Consider opportunities for improvement
What alternatives are there in the process flow?
Line balancingWaste reductionCapacity smoothing / expansionPoolingSet-up time reductionStandardization
Week 8
Pick one opportunity and create a small experiment
What can you learn about the most promising alternative in 1 day and with $100?
Create a small experiment
Week 8