Collaborative routing of products using a self-organizing mechatronic agent framework-A simulation study

Luis Ribeiro, Andre Rocha, Angelo Veiga, Jose Barata

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

Scheduling is a fundamental activity in modern shop floors. It is also known to be a highly complex problem which has motivated several sub-formulations and the subsequent models. Traditional approaches, typically enumerative or heuristic, struggle to contain the computation complexity and often present solutions for restricted cases that feature unrealistic assumptions in respect to the system size, flow of products and the system logistics/behaviour. The multiagent-based architecture presented in this paper is aligned with a set of emerging architectures that seek to explore more heterarchical decision and control models to circumvent the limitations of the traditional approaches. The main distinguishing factor of the proposed architecture is that it directly addresses (re)routing/local scheduling of products in plug and produce systems. It does not make any assumptions on the alignment of the orders and, instead, it dynamically handles the potential rescheduling of the orders already on the system based on the available resources, and their state, in a time efficient way. The architecture was tested under a simulation environment, that is geometrically accurate and that supports plug and produce in runtime, to characterize its performance under dynamic conditions. (C) 2015 Published by Elsevier B.V.

Original languageEnglish
Pages (from-to)27-39
Number of pages13
JournalComputers in Industry
Volume68
DOIs
Publication statusPublished - Apr 2015

Keywords

  • Multiagent systems
  • Material handling
  • Self-organization
  • Scheduling
  • Product oriented systems
  • Mechatronics
  • MATERIAL-HANDLING SYSTEMS
  • PARTICLE SWARM OPTIMIZATION
  • MANUFACTURING SYSTEMS
  • SCHEDULING PROBLEM
  • FLOW-SHOP
  • ARCHITECTURE
  • MODEL
  • ALGORITHM

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