Agent Based Model for Complex Flow Shop Manufacturing Systems with Customer-Related Production Disruptions

Tunde Victor Adediran, Ammar Al Bazi

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

2 Citations (Scopus)
11 Downloads (Pure)

Abstract

There have been number of frameworks and approaches proposed for the study of complex flow shop manufacturing systems. However, due to the continuous effects of customer disruptions such as cancellation, change in sequence and due time on flow shop production, there arise need to develop an adaptive system to respond to the effect of such disruptions. In this ongoing PhD work, we develop a Framework and Agent-Based Model to simulate flow shop production line and investigate the disruptions consequences and recovery strategy. An experimental case study using an Original Equipment Manufacturer (OEM) factory for automotive parts is adopted to verify and validate the proposed system. The new understanding presented in this work offers informed decision-making policies for manufacturing production activities.
Original languageEnglish
Title of host publication2017 8th International Conference on Information Technology (ICIT)
PublisherIEEE
Pages767-773
Number of pages7
ISBN (Electronic)978-1-5090-6332-1
ISBN (Print)978-1-5090-6333-8
DOIs
Publication statusPublished - 17 May 2017
EventICIT 2017 The 8th International Conference on Information Technology - Al-Zaytoonah University , Amman, Jordan
Duration: 17 May 201718 May 2017

Conference

ConferenceICIT 2017 The 8th International Conference on Information Technology
CountryJordan
CityAmman
Period17/05/1718/05/17

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Keywords

  • agent-based modeling
  • manufacturing systems
  • production disruptions

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  • Cite this

    Adediran, T. V., & Al Bazi, A. (2017). Agent Based Model for Complex Flow Shop Manufacturing Systems with Customer-Related Production Disruptions. In 2017 8th International Conference on Information Technology (ICIT) (pp. 767-773). IEEE. https://doi.org/10.1109/ICITECH.2017.8079943