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.
|Title of host publication||2017 8th International Conference on Information Technology (ICIT)|
|Number of pages||7|
|Publication status||Published - 17 May 2017|
|Event||ICIT 2017 The 8th International Conference on Information Technology - Al-Zaytoonah University , Amman, Jordan|
Duration: 17 May 2017 → 18 May 2017
|Conference||ICIT 2017 The 8th International Conference on Information Technology|
|Period||17/05/17 → 18/05/17|
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- agent-based modeling
- manufacturing systems
- production disruptions
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