An agent-based architecture for production scheduling in dynamic job-shop manufacturing system

Om Ji Shukla, Gunjan Soni, Rajesh Kumar, V. Sujil

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)

Abstract

In a highly competitive environment, effective production is one of the key issues which can be addressed by efficient production planning and scheduling in the manufacturing system. This paper develops an agent-based architecture which enables integration of production planning and scheduling. In addition, this architecture will facilitate real time production scheduling as well as provide a multi-agent system (MAS) platform on which multiple agents will interact to each other. A case study of job-shop manufacturing system (JMS) has been considered in this paper for implementing the concept of MAS. The modeling of JMS has been created in SimEvents which integrates an agent-based architecture developed by Stateflow to transform into dynamic JMS. Finally, the agent-based architecture is evaluated using utilization of each machine in the shop floor with respect to time.

Original languageEnglish
Pages (from-to)492-502
Number of pages11
JournalAutomatisierungstechnik
Volume66
Issue number6
DOIs
Publication statusPublished - 26 Jun 2018
Externally publishedYes

Keywords

  • agentenbasierte Architektur
  • Auftragsfertigung
  • dynamische Fertigungssysteme
  • Multiagentensysteme
  • Produktionsplanung
  • Stateflow

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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