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Multiagent based Supply Chain Management: A Brief Introduction |
6 |
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Contents |
12 |
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Supply Chain Management and Multiagent Systems: An Overview |
21 |
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1 Introduction |
21 |
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2 Supply Chain Management |
22 |
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3 Multi Agent Systems - |
27 |
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4 Multi - Agent Systems in Supply Chain Management |
34 |
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5 Conclusion |
41 |
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6 Acknowledgment |
41 |
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References |
41 |
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Global Supply Chain Networks and Risk Management: A Multi- Agent Framework |
122 |
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1 Introduction |
123 |
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2 The Global Supply Chain Network Model with Risk Management |
124 |
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3 Qualitative Properties |
138 |
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4 The Algorithm |
146 |
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5 Numerical Examples |
147 |
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6 Summary and Conclusions |
151 |
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7 Acknowledgments |
152 |
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References |
152 |
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1 Introduction |
154 |
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RedAgent: An Autonomous, Market-based Supply-Chain Management Agent for the Trading Agents Competition |
154 |
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1 Introduction |
154 |
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2 OverviewofTACSCM |
155 |
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3 Architecture of RedAgent |
156 |
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4 Internal Markets and Auctions |
157 |
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5 Order Agents |
158 |
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6 Assembler Agents |
160 |
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7 Component and Production Agents |
162 |
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8 Bidder Agent |
164 |
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9 Internal Behavior |
165 |
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10 Competition Performance |
167 |
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11 Discussion |
170 |
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References |
173 |
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Multi-Agent Modeling and Fuzzy Task Assignment for Real-Time Operation in a Supply Chain |
198 |
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1 Introduction |
198 |
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2 Related Works |
201 |
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3 Agent based System Model of the Supply Chain |
202 |
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4 The Real-Time Scheduler at each FU |
205 |
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5 Task Assignment under Imprecision |
207 |
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6 Performance Evaluation |
213 |
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7 The Hybrid Algorithm |
218 |
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8 Conclusions |
220 |
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References |
221 |
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Design, Implementation and Test of Collaborative Strategies in the Supply Chain |
265 |
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1 Introduction |
265 |
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2 Methodology |
267 |
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3 Case Study: Do Companies in a Supply Chain Agree to Share Demand Information? |
272 |
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4 Discussion on the Methodology |
285 |
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5 Conclusion |
288 |
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6 Acknowledgment |
288 |
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References |
288 |
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MAGNET: A Multi-Agent System using Auctions with Temporal and Precedence Constraints |
291 |
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1 Introduction |
291 |
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2 Decision Processes in a MAGNET Customer Agent |
293 |
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3 Solving the MAGNET Winner-Determination Problem |
306 |
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4 Search Performance |
314 |
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5 Related Work |
324 |
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6 Conclusions |
327 |
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References |
329 |
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Incentive Compatible Supply Chain Auctions |
333 |
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1 Introduction |
333 |
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2 Supply Chain Formation Problem |
335 |
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3 Two-Sided, Single-Good |
338 |
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4 Linear Supply Chains |
340 |
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5 Unique Manufacturing Technology Supply Chains |
342 |
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6 Supply Chains without the Unique Manufacturing Technologies Constraint |
356 |
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7 Discussion and Open Problems |
357 |
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References |
358 |
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A Proof of Incentive Compatibility and Individual Rationality of the KSM- UMT- TR Auction |
359 |
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B Proof of the Efficiency Competitive Ratio and Budget Balance of the KSM- UMT- TR Auction |
362 |
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Supply Chain Coordination by Means of Automated Negotiations Between Autonomous Agents |
369 |
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1 Introduction |
369 |
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2 The Coordination Problem |
370 |
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3 The Negotiation Protocol |
373 |
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4 Computational Experiments |
379 |
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5 Conclusions |
387 |
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References |
388 |
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Notations |
436 |
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A Multi-Agent Approach to Supply Chain Managementin the Chemical Industry |
436 |
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1 Introduction |
438 |
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2. Literature Review |
441 |
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3 G2-Multi-Agent Development Environment |
444 |
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4 Refinery Supply Chain Management |
447 |
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5 Agent Modeling of Refinery Supply Chain |
449 |
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6 Case Studies |
459 |
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7 Discussion |
464 |
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References |
465 |
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