Multiagent based supply chain management with 40 tables
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| Sprache: | English |
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Springer
2006
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| Schriftenreihe: | Studies in computational intelligence
28 |
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| 245 | 1 | 0 | |a Multiagent based supply chain management |b with 40 tables |c Brahim Chaib-draa ... (eds.) |
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| 300 | |a XIX, 450 S. |b graph. Darst. | ||
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Datensatz im Suchindex
| _version_ | 1819694841978683392 |
|---|---|
| adam_text | Contents
Supply Chain Management and Multiagent Systems: An Overview
Thierry Moyaux, Brahim Chaib draa, Sophie D Amours 1
1 Introduction 1
2 Supply Chain Management 2
2.1 Industrial Problems in General 2
2.2 A Particular Example of Industrial Problems:
The Bullwhip Effect 2
2.3 The Concept of Supply Chains as a Solution 4
2.4 Collaboration in Supply Chains 5
2.5 Supporting Technologies 7
3 Multi Agent Systems 7
3.1 The Concept of Agents 7
3.2 Comparison with Objects 8
3.3 Agent Architectures 8
3.4 Motivations for Multi Agent Systems 10
3.5 Differences between Multi Agent Systems and Other Fields 11
3.6 Some Applications of Multi Agent Systems 12
4 Multi Agent Systems in Supply Chain Management 14
4.1 Information Technologies in Supply Chain Management 15
4.2 Using Multi Agent Systems in Supply Chain Management:
Motivations 16
4.3 Using Multi Agent Systems in Supply Chains: Examples 18
5 Conclusion 21
6 Acknowledgment 21
References 21
eMarketPlace Model: An Architecture for Collaborative Supply Chain
Management and Integration
Hamada Gheimiwa, Jiangbo Dang, Michael Hulms, Weiming Shen 29
1 Introduction 29
2 eBusiness Models 31
3 eMarketplaces: Requirements Analysis and Design Issues 32
3.1 Market Structure and Economy Model 32
3.2 Supply Chain Management and Integration 33
3.3 Foundation Architecture for Integration 35
4 Business Centric Knowledge Oriented Architecture 36
XII Contents
5 BCKOA based eMarketplace 38
6 Agent Oriented eMarketplace Model 40
7 Multi Attribute Negotiation Service: Coalition Deal Negotiation Model 43
8 eAuction Market Service 46
8.1 The Auction Market System Architecture 46
8.2 Market Session: Vickrey Auction 47
8.2.1 Auction Session Module 49
8.2.2 Agent Architecture 50
9 Agent Based Supply Chain Integration Service 51
10 Prototype Implementation 54
10.1 Auctioneer Agent 55
10.2 Bidder Agent 57
10.3 Supplier Agent 57
11 Related Work and Discussion 57
12 Conclusions 59
Acknowledgements 60
References 60
Software Agents for Electronic Business: Opportunities and Challenges
(2005 Re mix)
Jorg P. Mtiller, Bernhard Bauer, Thomas Friese, Stephan Roser,
Roland Zimmermann 63
1 Introduction 63
2 Areas and Challenges of e Business 65
2.1 Areas of e Business 65
2.2 e Business Architecture 66
2.3 Challenges in e Business 70
2.3.1 Challenge: Semantic Interoperability 70
2.3.2 Challenge: Support for Flexible Organization Structures and
Collaborative Business Processes 71
2.3.3 Challenge: Pro active, Adaptive Processes and Agent Grid
Services 71
2.3.4 Challenge: Dynamic IT 72
2.3.5 Challenge: Security, Privacy, and Trust 72
2.3.6 Challenge: Adaptive Decision Making for Evaluation and
Selection of Products and Services 73
2.3.7 Challenge: Mobility Support and Context Awareness 73
3 Agent Technology for e Business 74
3.1 Agents Definitions and Characteristics 74
3.2 Challenges 76
3.2.1 Challenge: Semantic Interoperability 76
3.2.2 Challenge: Support for Flexible Organization Structures and
Collaborative Business Processes 78
3.2.3 Challenge: Pro active, Adaptive Processes and Agent Grid
Services 80
3.2.4 Challenge: Dynamic IT 82
Contents XIII
3.2.5 Challenge: Security, Privacy, and Trust 83
3.2.6 Challenge: Adaptive Decision Making for Evaluation and
Selection of Products and Services 83
3.2.7 Challenge: Mobility Support and Context Awareness 84
4 Agent Enabled e Business Applications: Case Studies 85
4.1 Agent Enabled Supply Chain Event Management 85
4.1.1 Problem Description 85
4.1.2 Technology Used 86
4.1.3 Application Context/Validation 89
4.2 Decentral Business Resource Management 89
4.2.1 Problem Description 89
4.2.2 Technology Used 90
4.2.3 Application Context/Validation 92
4.3 Model Driven Development and Integration 94
4.3.1 Problem Description 94
4.3.2 Technology Used 94
4.3.3 Application Context/Validation 95
5 Discussion, Conclusions, and Outlook 99
References 101
Global Supply Chain Networks and Risk Management: A Multi Agent
Framework
Anna Nagurney, Jose M. Cruz, June Dong 103
1 Introduction 104
2 The Global Supply Chain Network Model with Risk Management 105
2.1 The Behavior of the Manufactures and their
Optimality Conditions 106
2.2 The Behavior of the Distributors and their
Optimality Conditions 110
2.3 The Retailers and their Optimality Conditions 113
2.4 The Equilibrium Conditions 116
2.5 The Equilibrium Conditions of the Global Supply Chain 117
3 Qualitative Properties 119
4 The Algorithm 127
5 Numerical Examples 128
6 Summary and Conclusions 132
7 Acknowledgments 133
References 133
RedAgent: An Autonomous, Market based Supply Chain Management Agent
for the Trading Agents Competition
Doina Precup, Philipp W. Keller, Felix Olivier Duguay 135
1 Introduction 135
2 Overview of TAC SCM 136
3 Architecture of RedAgent 137
4 Internal Markets and Auctions 138
5 Order Agents 139
XIV Contents
6 Assembler Agents 141
7 Component and Production Agents 143
8 Bidder Agent 145
9 Internal Behavior 146
10 Competition Performance 148
11 Discussion 151
Acknowledgments 154
References 154
A Framework of Optimization Agent for Supply Chain Management
JaeKyuLee, YongSik Chang 155
1 Introduction 155
2 Review of Model Management for Optimization Agent 157
3 Structure of Optimization Models in the Supply Chain 158
3.1 Primitive Model of M VRTPW 159
3.2 Options of the Objective Function 160
3.3 Objective Driven Constraints 161
3.4 Optional Constraints for the Target Problem 162
4 Architecture of Optimization Agents 162
4.1 Identification of a Base Model 164
4.2 Identification of a Target Model 165
4.3 Canonical Representation of the Target Model 167
4.4 Formulation of the Target Model for the IP Solver 169
5 Illustrative Automatic Modeling Procedure with AGENT OPT2 169
5.1 Identification of a Base Model 169
5.2 Identification of a Target Model 171
5.3 Canonical Representation of the Target Model 173
5.4 Formulating a Target Model for Solver LINGO 174
6 Conclusion: Toward Ontology for Supply Chain Model
Warehouse Services 176
References 177
Multi Agent Modeling and Fuzzy Task Assignment for Real Time Operation
in a Supply Chain
Umesh Deshpande, Arobinda Gupta, Anupam Basu 179
1 Introduction 179
2 Related Works 182
3 Agent based System Model of the Supply Chain 183
3.1 The Architecture of a Node 183
3.2 Modeling of the Functional Unit (FU) 185
3.3 The Local State 185
4 The Real Time Scheduler at each FU 186
4.1 Estimated Latest Start Time (ELST) Computation 188
5 Task Assignment under Imprecision 188
5.1 Multiobjective Decision Making using Fuzzy Logic 188
Contents XV
5.2 A Procedure for Determining the Importance of the Objectives 190
5.3 The Computation of the Objectives for the Supply Chain Operation... 191
6 Performance Evaluation 194
6.1 Comparison with the Heuristic Algorithm 197
7 The Hybrid Algorithm 199
8 Conclusions 201
References 202
Multi Agent based Supply Chain Modelling with Dynamic Environment
Toshiya Kaihara 203
1 Introduction 203
2 VE Business Model in Supply Chain Environment 204
2.1 VE Concept 204
2.2 Business Model 206
3 Agent Definitions 207
3.1 Unit Structure 207
3.2 Negotiation Algorithm 207
3.3 Vertically Integrated VE Model 209
3.4 Horizontally Specialised VE Model 210
3.5 Hybrid VE Model 211
4 Experimental Results 212
5 Conclusions 214
References 215
Agent Based Technological Framework for Dynamic Configuration of a
Cooperative Supply Chain
Alexander V. Smirnov, Leonid B. Sheremetov, Nikolai Chilov,
Christian Sanchez Sanchez 217
1 Introduction 217
2 CSC Configuration Task 219
3 Partner Choice as a Coalition Game 221
3.1 Cooperative Games with Fuzzy Coalitions 222
3.2 Construction of a Coalition Membership Function 224
3.3 Solution of a Coalition Game with Genetic Algorithm 225
4 Ontological Model of the CSC Based on Object Oriented
Constraint Networks 225
4.1 Object Oriented Constraint Network 226
4.2 Construction of the Request Ontology 227
5 Methods for Resource Allocation Task Solution 230
5.1 Genetic Algorithm 230
5.2 Constraint Satisfaction Problem 231
6 Multi agent Framework Description 232
6.1 Coalition Game for Partner Selection 233
6.2 Evolver Interface Integration 234
6.3 Adaptive Agents for Resource Allocation 236
7 Case Study Description 237
7.1 Fuzzy Coalition Game Model of the Case Study 238
XVI Contents
7.2 Results of the Constraint Satisfaction Approach 240
7.3 Comparison of Experimental Results 241
8 Related Research and Discussion 241
Conclusions 244
Acknowledgments 245
References 245
Design, Implementation and Test of Collaborative Strategies in the Supply
Chain
Thierry Moyaux, Brahim Chaib draa, Sophie D Amours 247
1 Introduction 247
2 Methodology 249
2.1 Notations 249
2.2 Explanation of the Algorithms 251
3 Case Study: Do Companies in a Supply Chain Agree to Share Demand
Information? 254
3.1 The Bullwhip Effect: A Problem of Supply Chain Management 254
3.2 One Cause and its Solution to the Bullwhip Effect 258
3.3 Simulation Model 262
3.4 Agent Strategies 263
3.5 Results and Analysis 264
3.6 Discussion on the Case Study 266
4 Discussion on the Methodology 267
5 Conclusion 270
6 Acknowledgment 270
References 270
MAGNET: A Multi Agent System using Auctions with Temporal and
Precedence Constraints
John Collins, Maria Gini 273
1 Introduction 273
2 Decision Processes in a MAGNET Customer Agent 275
2.1 Agents and their Environment 275
2.2 Planning 276
2.3 Planning the Bidding Process 277
2.4 Composing a Request for Quotes 281
2.5 Evaluating Bids 285
2.6 Awarding Bids 288
3 Solving the MAGNET Winner Determination Problem 288
3.1 Bidtree Framework 289
3.2 A* Formulation 291
3.3 Iterative Deepening A* 294
4 Search Performance 296
4.1 Experimental Setup 297
4.2 Characterizing the Iterative Deepening A* Solver 300
Contents XVII
5 Related Work 306
5.1 Multi Agent Negotiation 306
5.2 Combinatorial Auctions 308
5.3 Deliberation Scheduling 309
6 Conclusions 309
References 311
Incentive Compatible Supply Chain Auctions
Moshe Babaioff, William E. Walsh 315
1 Introduction 315
2 Supply Chain Formation Problem 317
2.1 Supply Chain Model 317
2.2 Allocations 320
3 Two Sided, Single Good 320
4 Linear Supply Chains 322
5 Unique Manufacturing Technology Supply Chains 324
5.1 UMT Trade Reduction Auction Allocation 325
5.2 UMT Trade Reduction Auction Payments 327
5.3 Auction Properties with the Known Single Minded Model 328
5.4 Auctions for the Unknown Single Minded Model 330
5.5 Computational Complexity of the UMT Auction 334
5.6 Distributed Implementation 336
6 Supply Chains without the Unique Manufacturing Technologies
Constraint 338
7 Discussion and Open Problems 339
Acknowledgments 340
References 340
Appendix A 341
Appendix B 344
Supply Chain Coordination by Means of Automated Negotiations Between
Autonomous Agents
Andreas Fink 351
1 Introduction 351
2 The Coordination Problem 352
3 The Negotiation Protocol 355
3.1 Contract Generation 357
3.2 Acceptance Criteria 357
4 Computational Experiments 361
4.1 Scenario A: Two Decision Making Units 364
4.2 Scenario B: Three Decision Making Units 367
5 Conclusions 369
References 370
XVIII Contents
Business Process Support in a Seaport Automobile Terminal — a Multi Agent
Based Approach
Torsten Fischer, Hermann Gehring 373
1 Introduction and Problem Description 373
2 Business Processes in a Seaport Automobile Terminal 374
2.1 Logistics Supply Chain for Vehicle Transport 375
2.2 Representation of the Underlying Business Processes 376
2.2.1 Business Process Vehicle Takeover (Iml) 376
2.2.2 Business Process Vehicle Storage (Im2) 377
2.2.3 Business Process Vehicle Delivery (Im3) 378
2.3 Description of the Planning Processes 378
2.4 Analysis of Critical Points 380
3 Vehicle Transshipment Optimization Problem 381
4 Multi Agent System for Planning Support 382
4.1 Representation of the Planning Problem via Autonomous Agents .... 383
4.2 Operation of the Multi Agent System 384
4.2.1 Departure Time Estimation 385
4.2.2 Deployment Scheduling (Coarse Grained Scheduling) 386
4.2.3 Storage Allocation 387
4.2.4 Deployment Scheduling (Fine Grained Scheduling) 388
4.2.5 Updating the Parking Area Reservation List 388
5 Evaluation of the Multi Agent Based Planning Approach 388
5.1 Results from an Operational Point of View 389
5.2 Results from a Strategic Point of View 391
5 Conclusions 392
References 393
Commitment Based Sense and Respond Framework for Manufacturing Supply
Chain
Jun Jang (JJ) Jeng, Markue Ettl, Jen Yao Chung 395
1 Introduction 395
2 Scenarios 397
3 Framework 403
4 Commitment Based Manufacturing Supply Chain 407
5 Architecture 414
6 Related Work and Discussion 416
7 Conclusion 416
References 417
A Multi Agent Approach to Supply Chain Management in the Chemical
Industry
Rajagopalan Srinivascm, Mukta Bansal. I.A. Karimi 419
1 Introduction 421
1.1 Petroleum Refinery Supply Chain 421
1.2 Distinguishing Features of Chemical Supply Chains 423
2 Literature Review 424
Contents XIX
3 G2 Multi Agent Development Environment 427
4 Refinery Supply Chain Management 430
5 Agent Modeling of Refinery Supply Chain 432
6 Case Studies 442
6.1 Study 1: Normal Scenario 443
6.2 Study 2: Transportation Disruption 445
6.3 Study 3: Demand High 447
7 Discussion 447
References 448
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| genre | (DE-588)4143413-4 Aufsatzsammlung gnd-content |
| genre_facet | Aufsatzsammlung |
| id | DE-604.BV021760567 |
| illustrated | Illustrated |
| indexdate | 2024-12-23T19:30:44Z |
| institution | BVB |
| isbn | 9783540338758 3540338756 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-014973645 |
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| physical | XIX, 450 S. graph. Darst. |
| publishDate | 2006 |
| publishDateSearch | 2006 |
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| publisher | Springer |
| record_format | marc |
| series | Studies in computational intelligence |
| series2 | Studies in computational intelligence |
| spellingShingle | Multiagent based supply chain management with 40 tables Studies in computational intelligence Mehragentensystem (DE-588)4389058-1 gnd Supply Chain Management (DE-588)4684051-5 gnd |
| subject_GND | (DE-588)4389058-1 (DE-588)4684051-5 (DE-588)4143413-4 |
| title | Multiagent based supply chain management with 40 tables |
| title_auth | Multiagent based supply chain management with 40 tables |
| title_exact_search | Multiagent based supply chain management with 40 tables |
| title_full | Multiagent based supply chain management with 40 tables Brahim Chaib-draa ... (eds.) |
| title_fullStr | Multiagent based supply chain management with 40 tables Brahim Chaib-draa ... (eds.) |
| title_full_unstemmed | Multiagent based supply chain management with 40 tables Brahim Chaib-draa ... (eds.) |
| title_short | Multiagent based supply chain management |
| title_sort | multiagent based supply chain management with 40 tables |
| title_sub | with 40 tables |
| topic | Mehragentensystem (DE-588)4389058-1 gnd Supply Chain Management (DE-588)4684051-5 gnd |
| topic_facet | Mehragentensystem Supply Chain Management Aufsatzsammlung |
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