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Multi-objective inventory model for material requirements planning with uncertain lead-time

Author

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  • Heibatolah Sadeghi
  • Anwar Mahmoodi

Abstract

Material requirements planning (MRP), in its original form, utilises deterministic lead-time. However, the lead-time uncertainty is a fact of life in most of production systems. Therefore, developing MRP to deal with lead-time uncertainty is of great importance to academics and practitioners. In this paper, the problem of supply planning is considered in a multi-period, multi-level assembly system in which each sub-level has several components whose lead-times are uncertain. A two-objective mathematical model is presented not only to provide the appropriate number of periods in POQ policy, but also to determine the planning lead-time of each sub-level component. The aim of the model is to minimise the expected total cost, and to maximise the customer service level. Furthermore, two metaheuristic algorithms, namely non-dominated sorting genetic algorithm-II (NSGA-II), and multi-objective particle swarm optimisation (MOPSO) are proposed to solve the model. Finally, numerical experiments are carried out to compare the effectiveness of the procedures.

Suggested Citation

  • Heibatolah Sadeghi & Anwar Mahmoodi, 2022. "Multi-objective inventory model for material requirements planning with uncertain lead-time," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 43(4), pages 391-415.
    • Handle: RePEc:ids:ijores:v:43:y:2022:i:4:p:391-415
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