Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-04143-3_10
Title: Agent-based model for decision support in multi-site manufacturing enterprises
Authors: Ng, Z.S.
Tan, A.Y.S.
Adhitya, A.
Srinivasan, R. 
Keywords: Agent-based modeling
BDI
Decision support
Lube additive
Simulation
Supply chain
Issue Date: 2009
Source: Ng, Z.S.,Tan, A.Y.S.,Adhitya, A.,Srinivasan, R. (2009). Agent-based model for decision support in multi-site manufacturing enterprises. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5774 LNAI : 103-114. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-04143-3_10
Abstract: Today's supply chains span across continents, involve numerous entities with different dynamics, and contend with various uncertainties. This paper presents an agent-based model for decision support in a multi-site lube additive manufacturing enterprise. The supply chain comprises raw material suppliers, the lube additive enterprise, and customers. The enterprise consists of a central sales department and a number of production sites at different locations. Each production site has its own commercial, scheduling, procurement, storage, operations, and packaging departments. Supply chain operation involves all these entities in three cycles of activities: enterprise-level coordination, plant operation, and inventory management. Each entity is modeled as an agent, with its own goals and tasks, implemented in Jadex following the belief-desire-intention (BDI) formalism. The model allows the user to simulate and analyze different supply chain policies, configurations, parameters, and scenarios. Its capability for decision support is illustrated through two case studies. © 2009 Springer Berlin Heidelberg.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/74473
ISBN: 3642041426
ISSN: 03029743
DOI: 10.1007/978-3-642-04143-3_10
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