Agentic LLMs in the Supply Chain: Towards Autonomous Multi-Agent Consensus-Seeking

Wooldridge, Michael, and Nicholas R. Jennings. 1995. “Agent Theories, Architectures, and Languages: A Survey.” In Intelligent Agents: ECAI-94 Workshop on Agent Theories, Architectures, and Languages Amsterdam, The Netherlands August 8–9, 1994 Proceedings 1 , 1–39

1994

Earlier work this paper cites.

Chen, Frank, Zvi Drezner, Jennifer K. Ryan, and David Simchi-Levi. 2000. “Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information.” Management Science 46 (3): 436–443

2000

Earlier work this paper cites.

Fransoo, Jan C., and Marc J.F. Wouters. 2000. “Measuring the bullwhip effect in the supply chain.” Supply Chain Management: An International Journal 5 (2): 78–89

2000

Earlier work this paper cites.

Skjoett-Larsen, Tage. 2000. “European logistics beyond 2000.” International Journal of Physical Distribution & Logistics Management 30 (5): 377–387

2000

Earlier work this paper cites.

Wooldridge, Michael, Nicholas R Jennings, and David Kinny. 2000. “The Gaia Methodology for Agent-Oriented Analysis and Design.” Autonomous Agents and Multi-Agent Systems 3: 285–312

2000

Earlier work this paper cites.

Neef, Dale. 2001. E-Procurement: From Strategy to Implementation . FT Press

2001

Earlier work this paper cites.

Campbell, Murray, A. Joseph Hoane Jr., and Feng-hsiung Hsu. 2002. “Deep Blue.” Artificial Intelligence 134 (1-2): 57–83

2002

Earlier work this paper cites.

Julka, Nirupam, I. Karimi, and Rajagopalan Srinivasan. 2002. “Agent-based supply chain management—2: a refinery application.” Computers & Chemical Engineering 26 (12): 1771–1781

2002

Earlier work this paper cites.

Kuncova, Martina. 2002. “Optimization Methods and Bullwhip Effect.” QUANTITATIVE METHODS IN ECONOMICS (Multiple Criteria decision Making XI) 144

2002

Earlier work this paper cites.

Viswanadham, Nukala. 2002. “The past, present, and future of supply-chain automation.” IEEE Robotics & Automation Magazine 9 (2): 48–56

2002

Earlier work this paper cites.

Samuel, Cherian, and Biswajit Mahanty. 2003. “Shortage gaming and supply chain performance.” International Journal of Manufacturing Technology and Management 5 (5-6): 536–548

2003

Earlier work this paper cites.

Coehoorn, Robert M., and Nicholas R. Jennings. 2004. “Learning on Opponent’s Preferences to Make Effective Multi-Issue Negotiation Trade-Offs.” In Proceedings of the 6th International Conference on Electronic Commerce , 59–68

2004

Earlier work this paper cites.

Dejonckheere, Jeroen, Stephen M. Disney, Marc R. Lambrecht, and Denis R. Towill. 2004. “The impact of information enrichment on the Bullwhip effect in supply chains: A control engineering perspective.” European Journal of Operational Research 153 (3): 727–750

2004

Earlier work this paper cites.

Dangelmaier, Wilhelm, Jens Heidenreich, and Ulrich Pape. 2005. “Supply Chain Management: A Multi-Agent System for Collaborative Production Planning.” In 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service , 309–314

2005

Earlier work this paper cites.

Disney, Stephen M., Ingrid Farasyn, Marc Lambrecht, Denis R. Towill, and Wim Van de Velde. 2005. “Smooth is Smart: Bullwhip, Inventory, Fill-Rates and the Golden Ratio.” Tijdschrift voor Economie en Management L (2): 167–185

2005

Earlier work this paper cites.

Fung, Richard Y.K., and Tsiushuang Chen. 2005. “A multiagent supply chain planning and coordination architecture.” The International Journal of Advanced Manufacturing Technology 25: 811–819

2005

Earlier work this paper cites.

Marik, Vladimir, and Duncan McFarlane. 2005. “Industrial adoption of agent-based technologies.” IEEE Intelligent Systems 20 (1): 27–35

2005

Earlier work this paper cites.

Xue, Xiaolong, Xiaodong Li, Qiping Shen, and Yaowu Wang. 2005. “An agent-based framework for supply chain coordination in construction.” Automation in Construction 14 (3): 413–430

2005

Earlier work this paper cites.

Jiao, Jianxin (Roger), Xiao You, and Arun Kumar. 2006. “An agent-based framework for collaborative negotiation in the global manufacturing supply chain network.” Robotics and Computer-Integrated Manufacturing 22 (3): 239–255

2006

Earlier work this paper cites.

Hendler, James. 2007. “Where Are All the Intelligent Agents?” IEEE Intelligent Systems 22 (3): 2–3

2007

Earlier work this paper cites.

Pan, A., S.Y.S. Leung, K.L. Moon, and K.W. Yeung. 2009. “Optimal reorder decision-making in the agent-based apparel supply chain.” Expert Systems with Applications 36 (4): 8571–8581

2009

Earlier work this paper cites.

Wong, T.N., and Fang Fang. 2010. “A multi-agent protocol for multilateral negotiations in supply chain management.” International Journal of Production Research 48 (1): 271–299

2010

Earlier work this paper cites.

Bode, Christoph, Stephan M. Wagner, Kenneth J. Petersen, and Lisa M. Ellram. 2011. “Understanding responses to supply chain disruptions: Insights from information processing and resource dependence perspectives.” Academy of Management Journal 54 (4): 833–856

2011

Earlier work this paper cites.

Brintrup, Alexandra, Duncan McFarlane, Damith Ranasinghe, Tomás Sánchez López, and Kenneth Owens. 2011. “Will Intelligent Assets Take Off? Toward Self-Serving Aircraft.” IEEE Intelligent Systems 26 (03): 66–75

2011

Earlier work this paper cites.

Shang, Kevin H. 2011. “Simple Heuristics for Optimal Inventory Policies in Supply Chains.” In Tutorials in Operations Research , 106–128. INFORMS

2011

Earlier work this paper cites.

Dafoe, Allan, Edward Hughes, Yoram Bachrach, Tantum Collins, Kevin R. McKee, Joel Z. Leibo, Kate Larson, and Thore Graepel. 2020. “Open Problems in Cooperative AI.” arXiv preprint arXiv:2012.08630

Original

2012

Earlier work this paper cites.

Pan, Shan L., Gary Pan, and Dorothy E. Leidner. 2012. “Crisis Response Information Networks.” Journal of Association of Information Systems 13 (1): 32–56

2012

Earlier work this paper cites.

Lim, Ming K., Kim Tan, and Stephen C.H. Leung. 2013. “Using a multi-agent system to optimise resource utilisation in multi-site manufacturing facilities.” International Journal of Production Research 51 (9): 2620–2638

2013

Cited alongside, same era.

Chen, Jim X. 2016. “The Evolution of Computing: AlphaGo.” Computing in Science & Engineering 18 (4): 4–7

2016

Cited alongside, same era.

Christopher, Martin. 2016. Logistics and Supply Chain Management . 5th ed. Pearson Education UK

2016

Cited alongside, same era.

Wang, Xun, and Stephen M. Disney. 2016. “The bullwhip effect: Progress, trends and directions.” European Journal of Operational Research 250 (3): 691–701

2016

Cited alongside, same era.

Dorri, Ali, Salil S. Kanhere, and Raja Jurdak. 2018. “Multi-Agent Systems: A Survey.” IEEE Access 6: 28573–28593

2018

Cited alongside, same era.

Yuan, Lei, Ziqian Zhang, Lihe Li, Cong Guan, and Yang Yu. 2023. “A Survey of Progress on Cooperative Multi-agent Reinforcement Learning in Open Environment.” arXiv preprint arXiv:2312.01058

Original

2023

Later among the works it cites.

Zamfirescu-Pereira, J.D., Richmond Y. Wong, Bjoern Hartmann, and Qian Yang. 2023. “Why Johnny Can’t Prompt: How Non-AI Experts Try (and Fail) to Design LLM Prompts.” In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems , 1–21

2023

Later among the works it cites.

Zhang, Hongxin, Weihua Du, Jiaming Shan, Qinhong Zhou, Yilun Du, Joshua B. Tenenbaum, Tianmin Shu, and Chuang Gan. 2023. “Building Cooperative Embodied Agents Modularly with Large Language Models.” arXiv preprint arXiv:2307.02485

Original

2023

Later among the works it cites.

BCG. 2024. “Maximizing Business Insights with Retrieval Augmented Generation.” https://www.bcgplatinion.com/insights/enhancing-enterprise-question-answering-retrieval-augmented-generation . Accessed: October 20, 2024

2024