Real-time supply chain control via multi-agent adjustable autonomy

DOI10.1016/j.cor.2007.01.027zbMath1146.90349OpenAlexW2022869713MaRDI QIDQ2483492

Ramesh Thangarajoo, Hoong Chuin Lau, Lucas Agussurja

Publication date: 28 April 2008

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://ink.library.smu.edu.sg/sis_research/1194

zbMATH Keywords

multi-agent systemfuzzy controllerreal-time controlcrisis managementmilitary warehouse

Mathematics Subject Classification ID

Deterministic network models in operations research (90B10)

Related Items (2)

Characterizing multi-event disaster resilience ⋮ Exploring the interaction of inventory policies across the supply chain: an agent-based approach

Cites Work

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• Adopt: asynchronous distributed constraint optimization with quality guarantees
• An interactive method for inventory control with fuzzy lead-time and dynamic demand
• Decision process for multiobjective, multi-item production-inventory system via interactive fuzzy satisficing technique
• Fuzzy decision support system for demand forecasting with a learning mechanism
• Adaptive Inventory Control for Nonstationary Demand and Partial Information
• Stopped Myopic Policies in Some Inventory Models with Generalized Demand Processes
• Dynamic adaptive autonomy in multi-agent systems

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