An autonomous decentralized supply chain planning system for multi-stage production processes

Tatsushi Nishi, Masami Konishi, Shinji Hasebe

Research output: Contribution to journalArticlepeer-review

29 Citations (Scopus)


In this paper, we propose an autonomous decentralized optimization system for multi-stage production processes. The proposed system consists of a Material Requirement Planning subsystem, a Distribution Planning subsystem and Decentralized Scheduling subsystems belonging to each production stage that constitute the entire plant. In the proposed system, each subsystem repeats both optimization of the schedule at each subsystem and data exchange among the subsystems. Computational results demonstrate that the results of the proposed planning system are superior to those of the hierarchical planning system, despite the fact that the proposed system has wide flexibility for adding the constraints and modifying the criterion of performance evaluation.

Original languageEnglish
Pages (from-to)259-275
Number of pages17
JournalJournal of Intelligent Manufacturing
Issue number3
Publication statusPublished - Jun 2005


  • Autonomous decentralized system
  • Distributed scheduling
  • Flowshop problem
  • Planning and scheduling
  • Simulated annealing
  • Supply chain

ASJC Scopus subject areas

  • Software
  • Industrial and Manufacturing Engineering
  • Artificial Intelligence


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