A systematic modelling and simulation approach for JIT performance optimisation

  • Authors:

  • Y. G. Sandanayake;C. F. Oduoza;D. G. Proverbs

  • Affiliations:

  • School of Engineering and Built Environment, University of Wolverhampton, Shifnal Road, Priorslee, Telford TF2 9NT, UK;School of Engineering and Built Environment, University of Wolverhampton, Shifnal Road, Priorslee, Telford TF2 9NT, UK;School of Engineering and Built Environment, University of Wolverhampton, Shifnal Road, Priorslee, Telford TF2 9NT, UK

  • Venue:
  • Robotics and Computer-Integrated Manufacturing
  • Year:
  • 2008

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Abstract

Robust computer aided simulation and modelling tools help to visualise, analyse and optimise complex production processes with a reasonable amount of time and investment. A review of the literature shows that simulation and modelling have not been extensively applied in just-in-time (JIT) manufacturing environments. Also there remains a lack of a comprehensive mechanism to identify the most significant JIT drivers for the purpose of system process optimisation. The prime objective of this study is to close this gap by applying computer based simulation tools and linear mathematical modelling to identify the impact of selected key JIT parameters on performance in an automotive component-manufacturing environment. Research shows that variables such as inconsistent task distribution, variation on operator performance, misconception of total quality management philosophy and lack of set-up time elimination plans disrupt ideal JIT production. In this study, ProModel simulation and modelling software is used to model and simulate different experimental scenarios in order to understand and quantify the impact of selected input key JIT variables on objective functions (i.e. process time and takt time). The outcome is a robust mathematical model that highlights the significance of JIT drivers in the manually operated mixed-model assembly lines.