Advances in decision support systems on the endeavour for supply chain optimality

Rebecca Aggarwal, Ming Lim

Research output: Chapter in Book/Published conference outputConference publication


Industry practitioners are seeking to create optimal logistics networks through more efficient decision-making leading to a shift of power from a centralized position to a more decentralized approach. This has led to researchers, exploring with vigor, the application of agent based modeling (ABM) in supply chains and more recently, its impact on decision-making. This paper investigates reasons for the shift to decentralized decision-making and the impact on supply chains. Effective decentralization of decision-making with ABM and hybrid modeling is investigated, observing the methods and potential of achieving optimality.

Original languageEnglish
Title of host publicationInternational Conference on Industrial Logistics, ICIL 2012 - conference proceedings
EditorsIlona Jacyna-Gołda
PublisherUniversity of Zagreb
Number of pages6
ISBN (Print)978-953-773-816-7
Publication statusPublished - 2012
Event11th International Conference on Industrial Logistics - Zadar, Croatia
Duration: 14 Jun 201216 Jun 2012


Conference11th International Conference on Industrial Logistics
Abbreviated titleICIL 2012


  • agent based modeling
  • artificial intelligence
  • decentralized decision-making
  • logistics networks
  • supply chain


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