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Optimisation of stochastic assembly line for balancing under high variability

Author

Listed:
  • Krishna K. Krishnan
  • Abdulaziz T. Almaktoom
  • Prakhash Udayakumar

Abstract

An ideal manufacturing system is characterised by deterministic task times, 100% machine availability and on-time delivery. In a real time production scenario an ideal system does not exist due to the presence of variability. Most line balancing approaches assume deterministic task times while ignoring the impact of task time variability on system performance measures. However, in manufacturing systems such as aircraft assembly, ship building and custom job shops which are characterised by high variability in task times, large number of tasks assigned to a workstation and strict task precedence relationship, traditional assembly line balancing techniques may not be effective. In addition to balancing the task times, it is also important to balance the risk of delay. In this research, a novel heuristic optimisation approach for highly variable task times is presented. Results indicate that the method increases throughput while balancing the risk of delays at each station.

Suggested Citation

  • Krishna K. Krishnan & Abdulaziz T. Almaktoom & Prakhash Udayakumar, 2016. "Optimisation of stochastic assembly line for balancing under high variability," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 22(4), pages 440-465.
    • Handle: RePEc:ids:ijisen:v:22:y:2016:i:4:p:440-465
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    Citations

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    Cited by:

    1. Abdulaziz T. Almaktoom, 2017. "Stochastic Reliability Measurement and Design Optimization of an Inventory Management System," Complexity, Hindawi, vol. 2017, pages 1-9, August.
    2. García-Villoria, Alberto & Corominas, Albert & Nadal, Adrià & Pastor, Rafael, 2018. "Solving the accessibility windows assembly line problem level 1 and variant 1 (AWALBP-L1-1) with precedence constraints," European Journal of Operational Research, Elsevier, vol. 271(3), pages 882-895.

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