ubiquitous computing in geschäftsprozessen · pdf filesource: sap ag ubiquitous computing...

Ubiquitous Computing in Business Processes

Part III

Prof. Dr. Lutz HeuserUrban Software Institute

Prof. Dr. Zoltán NochtaSAP SE

DarmstadtDecember 18th, 2015

1. Recap

Outline

RFID supported Asset Maintenance Process

3.) Execution of

maintenance and repair

activities

RFID tag

on asset

1.) Technician reads

information stored on

RFID-tag

4.) Information update

on RFID tag after

maintenance has been

performed

2.) Maintenance and

repair planning based

on information on RFID

tag loaded

Source: SAP AGUbiquitous Computing in Geschäftsprozessen / Lutz Heuser, Zoltan Nochta /

ERP

RFID in Order Fulfillment Process

Retailer

WM

Vendor

Middleware

Delivery

Purchase Order

Adv. Ship

Notification

Cust.

Order

Post

Goods Issue

Create HU

Pickor

Produce

Scan IDs

Issue Goods

(Loading)Build

Handling

Unit (HU)

Associate

Boxes & Pallet

Tags

DeliveryDelivery

Ubiquitous Computing in Geschäftsprozessen / Lutz Heuser, Zoltan Nochta / Source: SAP AG

ERP

Let’s have a look into the Factory!

RFID in Discrete Manufacturing Process

Retailer

WM

Vendor

Middleware

Delivery

Purchase Order

Adv. Ship

Notification

Cust.

Order

Post

Goods Issue

Create HU

Pickor

Produce

Scan IDs

Issue Goods

(Loading)Build

Handling

Unit (HU)

Associate

Boxes & Pallet

Tags

DeliveryDelivery

Ubiquitous Computing in Geschäftsprozessen / Lutz Heuser, Zoltan Nochta / Source: SAP AG

EPCglobal Network Architecture

Search and

Discovery

Event

Registries

Source: EPCglobal

Ubiquitous Computing in Geschäftsprozessen / Lutz Heuser, Zoltan Nochta /

2. Beyond RFID – How to construct smart shelves without tagging?

Outline

Principle of Load Sensing

Load sensors under corners of a surface (e.g. pallet, shelf, floor) detect :

Mass of objects on surface

Position of objects on surface

Interactions with surface, e.g. adding or removing objects

Table equipped with load

sensors

1kg load sensor(Photo: Bongshin)

50kg load sensor50t load sensor

(Photo: Bongshin)


Basic Calculations

Fi,1 i 4: Forces at sensors after action

F0i,1 i 4: Forces at sensors prior to action

Weight:

xmax: length of surface

ymax: width of surface

x: x-coordinate of point of action

y: y-coordinate of point of action

Force Fx

at (x,y)

Force F1

at (0,0)

Force F3

at (xmax

,ymax

)

Force F4

at (0,ymax

)

Force F2

at (xmax

,0)

4

1i

ix FF

4

1

00i

ix FF

xx FFW 0

)0(

)0()0( 3322max

xx FF

FFFFxx

)0(

)0()0( 4433max

xx FF

FFFFyy


Advantages

Cheap: load cells at less than $100

Robust: works in almost every environment (e.g. metal environment)

Everyday compatible: no tagging of objects required

Flexible:

Feasible for any kind of object

Feasible for any size of object (load cells from 1kg to 200t)


Source: SAP AG

Business Potential

Capabilities

Object counting, e.g. number of items in a case

Object tracking, e.g. trolleys in warehouse or finger on table

Load balancing (trucks, helicopters, …)

Application Areas

Inventory management

Warehouse management

Supply chain management

Transportation management


Source: SAP AG

3. Beyond RFID - Quality Management in Supply Chains

Outline

End-To-End Quality Management Goods

1. Vendor: Goods

Issue

2. Carrier:

Transportation

3. Customer: Goods

Receipt

4. Transfer of data to

Inspection lot

5. Usage decision

6. Reset

Logger

Source: SAP AG


Sensor-aided Supply Chain Monitoring

Technology Sensors (temperature, acceleration, …) Local memory to store sensor and

identification data

Intermittent connection to backend

Example: ESYS – MINIDANTEMP0,1

Temperature logging

Temperature range: -40 °C to +85°C Accuracy: 0.1 °C or 0.5 °C Storage: 16.000 to 32.000 values depending on

accuracy

Potential Integrate shipping / transport of goods into

Enterprise Quality Management processes

Source: SAP AG


Aware Goods @ Infineon

Scenario

Shipley: Supplier for Infineon

Polishing liquid for wafer production

Liquid has to be transported within certain temperature range

Key Requirements

Easy handling for customer and supplier

One-step integration with SAP PLM avoiding manual data transfer

Solution

Temperature logging during transportation based on ESYS MINIDANTEMP0,1

Source: SAP AG


4. Introduction Smart Items in Smart Cities of the Future

Outline

The world’s cities are on a collision course with the future.

• 1 million people move to cities every day

• 1 billion people call slums home today

• There are 21 megacities with over 10 million people

• China alone will create 81 new major cities by 2025

By 2050, cities will be home to 70% of the world’s people. This rapid urbanization is will increasingly stress city resources, leaders and citizens. Fortunately, technology can play an enormous role in naming our cities smarter and much more livable, workable and sustainable.


The Challenge

Source: smart cities council brochure


Smart Cities Wheel

source: Boyd Cohen, http://smartcitieshub.com/2012/11/11/smart-cities-ranking-methodology/

6. Open Urban Sensor-Data Platforms

Outline

Definition of Urban Platform

What does the MOU Group mean by ‘an Urban Platform’? …,

… the implemented realisation of a logical architecture/content/design that brings together (integrates) data flows within and across city systems

… and exploits modern technologies (sensors, cloud services, mobile devices, analytics, social media etc)

… providing the building blocks that enable cities to rapidly shift from fragmented operations to include predictive effective operations, and novel ways of engaging and serving city stakeholders

… in order to transform, in a way that is tangible and measurable, outcomes at local level (e.g. increase energy efficiency, reduce traffic congestion and emissions, create (digital) innovation ecosystems)

Source: https://ec.europa.eu/digital-agenda/en/news/memorandum-understanding-towards-open-urban-platforms-smart-cities-and-communities


Memorandum of Understanding - Towards Open Urban Platforms for

Smart Cities and Communities

Key Aspects of an Urban (Sensor Data) Platform

Real-time sensor data platform offered in the cloud

Event-based processing

Stream analytics of incoming real-time data streams

Dedicated to urban sensors by semantically enriched data storage

Connectors to devices as well as 3rd party management systems

Multi-side, multi-service platform as a mediator

Integrate the vast amount of data generated in a city into an open urban platform.

The real time intelligence is then used for evidence based planning and decision making

Reference Architecture - [ UrbanPulse ]

Connectors

Data

analytics

and event

processing

Apps &

Smart

Services

Platform

Management

6. Group Exercise

Outline

Goal: Develop a Smart City Service Business Case including PoC

Team of 4 -5

Exercise consists of two parts

Build a business case for a Smart City Service

Description of the Service

Deployment and operation of the Service

Business Plan using a business model canvas (see attached)

Build a PoC using UrbanPulse and [ui!] COCKPIT

Identify the smart data source and connect it via [ui!] CONNECTOR

Visualize the Service using [ui!] COCKPIT

(Build an App)

Kick-off on January 15th, 2016 with a tutorial on UrbanPulse and [ui!] COCKPIT

(Review / Feedback opportunity on January 29th, 2016)

Jam Session on pitch on February 5th, 2016 – first two hours

Successful presentations will count for 50% of exam (TBC)

Content of January 15th is part of the lecture and exam

Group Exercise - Setting


Business Model Canvas



Smart City Dashboard – Shows the urban data of the city

Smart City Dashboard - Sample Urban Sensor Data

Example: Environmental Data

Identify thresholds of air quality

Stake holder: City Authorities

Technical Solution:

Multi-sensor nodes as smart items collect data and send

them to a sensor data platform for evaluation.

Team 1This could

be yourservice?

Smart City Dashboard – PoC – Build your own Tile

Team 2This could

be yourservice?

Team 3This could be your

service?

Team 4This could

be yourservice?

Team 5This could

be yourservice?

Team 6This could be your

service?

ubiquitous computing in geschäftsprozessen · pdf filesource: sap ag ubiquitous computing...

Documents