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Advanced Manufacturing and Sustainable Logistics - 8th International Heinz Nixdorf Symposium, IHNS 2010, Paderborn, Germany, April 21-22, 2010, Proceedings (Lecture Notes in Business Information Processing, Vol 46)
Title Page
2
Preface
5
Organization
7
Table of Contents
9
Keynotes
9
A Concept for an Accurate and Closely Coordinated Production
13
Introduction
13
Reducing the Diversity of Variants in Production Networks
13
Planning of Multilevel Flow Production – System Structures in Bordered Workstations
15
Reconfiguration of Conveyor Belt Coordination with Open Station Boundaries
17
Two Level Multi - criteria Lotsizing
19
Rolling Horizon and Online Optimization
21
Sequencing of Production Orders / Open Station Boundaries
24
References
25
A Mesoscopic Approach to the Simulation of Logistics Systems
27
Introduction
27
Forms of Flow Process Representation
28
Event Scheduling
29
Mesoscopic Product Model
30
Multichannel Funnels as Main Components of a Mesoscopic Model
31
Standard Models for Allocation of Resources at a Funnel
32
Conclusion
35
References
36
Development of a Simulation Model for Multimodal, Cross-Company Logistics Networks
38
Introduction
38
Cross-Company Logistics Models
39
Logistics Networks
39
Consolidation of Shipments
41
The Evaluation Model and the Simulation
42
Application Platform for Simulation
44
Simulation Model for the Planning of Multimodal Transport
45
Application of the Modeling Approach to a Romanian Automotive Cluster
47
Concluding Remarks
48
References
48
Building Blocks as an Approach for the Planning of Adaptable Production Systems
49
Introduction
49
Basics, Problem, Scientific Questions and Need for Research
50
Basics
50
Problem, Scientific Questions and Need for Research
50
Concept Building Blocks for Adaptable Production Systems
51
Planning/Visualization Modules
53
Machining Modules
54
Material Flow Modules
54
Information Flow Modules
54
Energy Flow Modules
55
Fields of Application and Deployment
55
References
55
Challenges for the Provision of Process Data for the Virtual Factory
58
Time Management Views on Production Processes
58
The Need for Time Management Data
58
The REFA View Concept
59
Deterministic and Stochastic Modelling of Time Data
60
Modelling Sequential and Interlinked Production Processes
61
Provision of Time Management Data
61
The Export of Sequential Process Data to the {\it FEMOS} Simulation Procedure
61
Export of Interlinked Process Data to the {\it FEMOS} Simulation Procedure
63
The Need for Further Developments
66
References
67
Application of Operations Research Techniques to the Redesign of the Distribution Systems
69
Introduction
69
Methodological Background
71
Case Studies
72
Computational Experiments
80
Conclusions
83
References
84
Simulation in Production and Logistics: Trends, Solutions and Applications
85
Introduction
85
Research and Development Trends
86
Positioning DES within the Digital Factory
87
Implementing Quality in Simulation Studies
88
Assisting in Performing Simulation Tasks
90
Trends in Applications
90
New Paradigm: Autonomous Control in Production and Logistics
91
New Application Fields: Biomass Conversion Networks
91
Summary
93
References
93
Logistics in the Context of Humanitarian Operations
97
Introduction
97
Disasters and Humanitarian Crises
98
Definitions
100
Characteristics and Challenges
101
Outlook
103
References
104
Sustainable Process Management - Status Quo and Perspectives
106
Sustainable Processes?
106
Sustainability - Definition and Description
107
Green IT
109
Sustainability on the Process Level
110
Idealized Model
110
Available Instruments
112
Discussion
116
Summary and Outlook
117
References
117
Supply Chain Management
9
A Model for Quantifying Impacts of Supply Chain Cost and Working Capital on the Company Value
119
Introduction
119
Conceptual Elements
120
The Quantification Model
122
Illustration Example from Industry
124
Conclusion
127
References
127
Assessing the Effects of Assortment Complexity in Consumer Goods Supply Chains
130
Introduction
130
Assortment Complexity in Consumer Goods Supply Chains
130
Problem Statement
131
Solution Approach
133
Modelling Product Assortments as Production and Distribution Networks
133
A Heuristic for Inventory Allocation
135
Setting Planning Buffers and Planned Production Quantities
137
Applications and Results
139
Conclusions
141
References
141
Dynamic Supply Loops – A Concept for Flexible and Faster Automotive Supply Network Management
142
Introduction
142
Efficient Supply Chains through Customize-to-Order
143
Step-Change in Component and System Technologies
145
Individually and Highly Reactive Supply Chain
146
Main Benefits and Targets of Dynamic Supply Loops
147
Selected Achievements
148
Conclusion
151
References
151
Development of a Lean Quality Management System: An Integrated Management System
153
Introduction
153
Integrated Management Systems in Industry
154
Development of a Lean Quality Management System
155
Definition of Requirements
156
Merging of Requirements
157
Application Procedure of the Lean Quality Management System
158
LQMS-Audit
158
LQMS Implementation
159
The LQMS in Industry Practice
160
Outlook
162
References
163
Integrated Adaptive Design and Planning of Supply Networks
164
Introduction
164
State of the Art
165
Methodical Basis
167
Mathematical Framework
168
Integration of Static SCD and Dynamic SCP Models: Concept
168
Integration of Static SCD and Dynamic SCP Models: Formal Statement
169
Using ISO 10303-224 for 3D Visualization of Manufacturing Features
210
Introduction
210
Geometric Product Models
212
Feature-Based Modeling
213
Definition and Classification of Features
214
Creating Features
214
Feature-Based Design
215
ISO-Standard 10303
215
Architecture
216
Application Protocol 224
217
Automated Process Planning with AP 224
217
Implementing STEP
218
Conclusion
220
References
220
Discussion of Findings
172
Conclusions
173
References
174
Lean Intra-corporate Supply Chain Management for Complex Organizations
176
Introduction
176
Background – The Idea of Lean Intra-corporate Supply Chain Management
178
Business and International Strategy
178
Organizational Structure and Business Rules
180
Objectives, Metrics, Roles and Responsibilities
180
Deriving the Corporate Supply Chain Profile
180
Evaluating the Supply Mode Matrix and Deriving Action Recommendations
184
Summary
185
References
186
Up-to-Date Supply Chain Management: The Coordinated (S, R) Order-Up-to
187
Prologue
187
Classical (S, R) Policy
188
Coordinated (S, R) Policy
190
Numerical Example
192
Managerial Implications of Coordinated (S, R)
193
Conclusion and New Directions in Coordinated Policies
194
References
194
Production Logistics/Industrial Engineering
10
Towards an Integrated Virtual Value Creation Chain in Sheet Metal Forming
198
Introduction
198
Integrated Virtual Value Creation Chain
199
Similarity Search for Identifying and Reusing Knowledge on Demand
201
Related Work on Similarity Search
201
Methodology
202
Cost Calculation for Quick and Precise Responses to Customers
203
Cost Calculation
203
Methodology
204
Blank Prediction, Process Planning and Process Simulation
205
Collision Detection and Optimization of Tool Structures
205
Related Work on Collision Detection
205
Methodology
206
Conclusions and Future Work
207
References
208
Using ISO 10303-224 for 3D Visualization of Manufacturing Features
210
Introduction
210
Geometric Product Models
212
Feature-Based Modeling
213
Definition and Classification of Features
214
Creating Features
214
Feature-Based Design
215
ISO-Standard 10303
215
Architecture
216
Application Protocol 224
217
Automated Process Planning with AP 224
217
Implementing STEP
218
Conclusion
220
References
220
Combined Working Time Model Generation and Personnel Scheduling
222
Introduction
222
The Four Phases of Demand-Driven Workforce Management
223
Staffing Demand Forecasts (Phase 1)
223
Designing Flexible Working Time Models (Phase 2)
224
Workforce Scheduling (Phase 3)
224
Working Time Management (Phase 4)
224
Combination of Phases
224
Demand-Oriented Working Time Models
225
Integrating the Phases 2 and 3: Lessons from Retail
227
Work of Others
227
Own Work
228
Transfer to an Application from Logistics
229
Description of the Problem
229
Results and Discussion
231
Conclusion and Future Work
232
References
232
Knowledge Oriented Implementation of Collaborative Supply Chain Management
234
Introduction
234
Supply Chain Management
235
Collaborative Supply Chain Management (CSCM)
235
Knowledge Oriented Prerequisites of Collaborative Supply Chain Management
237
Knowledge Modeling and Description Language (KMDL)
238
Knowledge Intensive Processes
238
Procedural Model
238
KMDL Layer Concept
239
Tacit and Explicit Knowledge.
239
Process and Activity View.
240
Integration of Knowledge Management into Supply Chain Management
240
Modeling CPFR
240
Potentials of KMDL
243
Conclusion and Outlook
244
References
244
Reference Modeling of an IT-Based Logistics System
246
Introduction
246
Production and Logistics as Interdependent Paradigms
247
Production Systems as a Reference Modeling Approach
248
Reference Modeling of an IT-Based Logistics System
250
References
256
An Autonomous Control Concept for Production Logistics
257
Introduction
257
Distributed Logistics Routing Protocol for Production
259
Evaluation
263
Problem Description and Instances
263
Reference Heuristics
264
Results
265
A Resource Based Mixed Integer Modelling Approach for Integrated Operational Logistics Planning
293
Introduction
293
A Resource Based View on Operational Logistics Planning
295
A Multi-period Multi-commodity Network Design Formulation
297
A Construction Heuristic
300
Case Study
302
Conclusions
305
Conclusion
267
References
267
Towards Agile Business Processes Based on the Internet of Things
269
Introduction
269
Initial Example
269
Big Picture
270
State of the Art
271
Blind Spot 1 – Awareness of the Environment
271
Blind Spot 2 - Awareness of the Actual Process Execution
271
Discrete Lot-Sizing and Scheduling Including Deterioration and Perishability Constraints
357
Introduction
357
Literature Review
358
Depreciation of Parts and Products
358
Simultaneous Lot-Sizing and Scheduling
359
Models Including Depreciation Constraints
360
Model Formulations
361
Numerical Results
365
Conclusion
367
System to Support Agile Business Processes
272
Agile Business Processes
272
Human Process Interaction Platform
272
Real World Integration
273
Outlook
273
References
274
Methods for the Calculation of CO${\_2}$ Emissions in Logistics Activities
275
Introduction
275
Existing Methods for the Calculation of CO${\_2}$ Emissions
275
The Greenhouse Gas Protocol
275
Databases for Emission Factors
277
CO${\_2}$ Calculation Tools
278
Conclusion
279
References
280
Operations Research Techniques
11
A p-Robust Capacitated Network Design Model with Facility Disruptions
281
Introduction
281
The p-Robust Network Design Model
283
GA-Based Hybrid Metaheuristic Algorithm
284
Representation Scheme
284
Fitness Function
285
Initial Population
285
GA Operators
286
The Learning Process
286
Constructing Search Tree.
286
Local Search.
286
Termination Criteria
287
Computational Results
287
Experimental Design
287
Algorithm Performance
288
Comparison with Other Robustness Criteria
288
Interpret p-Robustness
290
Conclusion
291
References
292
A Resource Based Mixed Integer Modelling Approach for Integrated Operational Logistics Planning
293
Introduction
293
A Resource Based View on Operational Logistics Planning
295
A Multi-period Multi-commodity Network Design Formulation
297
A Construction Heuristic
300
Case Study
302
Conclusions
305
References
306
Job Shop Scheduling with Buffer Constraints and Jobs Consuming Variable Buffer Space
307
Introduction
307
Literature Review
308
A Heuristic to Generate Initial Feasible Solutions
310
Computational Results
313
Conclusions
317
References
318
Maturity Progression Model for Sustainable Supply Chains
320
Introduction
320
Sustainable Supply Chains
321
Maturity Models
323
SSCM Maturity Model
324
Sustainability Modeling and Reporting System
326
Conclusion
328
References
329
Scenario Technique with Integer Programming for Sustainability in Manufacturing
332
Introduction
332
Scenarios for Sustainability in Value Creation
333
Mathematical Background of Scenario Technique
333
Scenarios for Remanufacturing Oriented Production Equipment Development
334
A Mathematical Model for the Scenario Technique
335
A Consistency Model
335
Counting and Clustering Solutions
336
Results
337
Scenario Generation
337
Scenario Description
339
Summary and Conclusion
342
References
343
Modelling Post-carriage Transport Costs in Groupage Networks
344
Introduction
344
Cost Model and Simulation Design
345
Objective and Framework
345
Assumptions and Cost Model
346
Estimating the Length of Tours in Ring-Radial Transport Networks
348
Results of Various Parameter Pretests
349
Simulation Results and Conclusions
350
Total Tour Length of the CVRP
350
Total Costs Related to Drop Distance
350
Marginal Costs Related to Drop Distance
352
Conclusion and Outlook
353
References
354
Discrete Lot-Sizing and Scheduling Including Deterioration and Perishability Constraints
357
Introduction
357
Literature Review
358
Depreciation of Parts and Products
358
Simultaneous Lot-Sizing and Scheduling
359
Models Including Depreciation Constraints
360
Model Formulations
361
Numerical Results
365
Conclusion
367
References
367
Humanitarian Logistics
11
Developing and Maintaining Trust in Post-disaster Hastily Formed Networks
370
Introduction
370
The Development of Trust in Post-disaster Hastily Formed Networks
371
The Development of Trust in Post-disaster Hastily Formed Networks
371
Operationalising the Swift Trust Framework in a Humanitarian Logistic Context
373
Role
374
Third Party Information
375
Category
375
Rule
376
Dispositional Trust
377
Trusting Behaviour in Humanitarian HFNs
377
The Development and Maintenance of Trust from a Physiological Perspective
378
The Danger of Excessive Trust
378
Operationalising and Testing in Different Settings
379
Summary
380
References
380
Humanitarian Cluster Leads as Fourth-Party Logistics Providers
384
Introduction
384
Approach
385
The Cluster Concept
385
Fourth-Party Logistics
387
Discussion
393
References
394
Simulation
11
An Efficient Heuristic Algorithm for the Traveling Salesman Problem
396
Introduction
396
Approximation Algorithms
397
Tour Construction
397
Tour Improvement
398
Branch and Bound
398
Ant Colony Optimization
398
The Held-Karp Lower Bound
399
The Integer Programming Model for Solving TSP
399
The Heuristic Algorithm for Solving Problem 1
400
The Termination Rule
401
The Upper Bound and the Lower Bound of the Algorithm
401
Fathoming Rule
402
Branching Strategy
402
Separation Rule
402
Computational Results
403
Conclusions
405
References
406
Control of Disassembly Systems Based on the Division of Labour by Means of Dynamically Adapting Routing Plans
408
Disassembly Systems Based on the Division of Labour
408
Dynamically Adapting Routing Plans
409
Method to Control Disassembly Systems Based on the Division of Labour
411
Extending Manufacturing Control by Disassembly-Specific Parameters
411
Control Measures for Disassembly Systems
412
Integrating the Developed Control Measures into a Global Concept
413
Verification by Means of a Pilot Example
417
Potentialities for Further Increasing the Efficiency of Disassembly Systems
417
References
417
Integrated Production Program and Human Resource Allocation Planning of Sequenced Production Lines with Simulated Assessment
420
Introduction
420
Tasks of Production Scheduling
421
Synchronized Production Lines
421
Sequencing
421
Production Cycle
423
Capacity and Human Resource Planning Functions
423
Correlation between Production Program and Human Resource Allocation Planning
424
Solutions Approach
426
Results
428
Summary and Outlook
429
References
430
Simulation of Container Traffic Flows at a Metropolitan Seaport
432
Introduction
432
Research Motivation and Objectives
432
Paper Outline
433
Containerization
433
Container Terminals and Handling Equipment
434
Port Operations
435
Simulation at Container Terminals
436
Simulation Model
437
Container Movements
438
Port Infrastructure
439
Model Validation
439
Design and Results of Scenario Experiments
440
Research Contributions
441
Conclusions
441
References
442
Simulation of ITSM Processes as Training Tool Set
444
Introduction
444
IT Service Management
445
IT Service Management Processes
445
ITIL Processes
445
Process Simulation
446
Training through Simulation
447
ITSM Simulators
448
ITSM Process Simulation
448
Training through Process Simulation
449
Conclusion and Outlook
453
References
453
Author Index
455
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