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Integrated maintenance, inventory and quality engineering decisions for multi-product systems

Author

Listed:
  • Salmasnia Ali

    (University of Qom, Iran)

  • Hafezian Rahil

    (University of Qom, Iran)

  • Maleki Mohammad Reza

    (Industrial Engineering Group, Golpayegan College of Engineering, Isfahan University of Technology, Golpayegan, Iran .)

Abstract

It is essential for manufacturers to consider the interrelation among quality, inventory, and maintenance decisions to detect imperfect quality products, keep the production system in good operating condition, and manage quality and inventory costs. Hence, this paper aims to develop an integrated model of inventory planning, quality engineering, and maintenance scheduling in which the expected total cost per time unit is minimised by determining the sample size, sampling interval, control limit coefficient, along with production cycle time. In this regard, an imperfect multi-product manufacturing system is considered, in which the inventory shortage in satisfying the demand for each product type and the idle time during the production cycle are not allowed. It is assumed that the process starts in an in-control condition where most produced units are conforming. However, due to the occurrence of an assignable cause (AC), the process mean moves to an out-of-control condition in which a significant fraction of non-conforming units is produced. The efficiency of the proposed mathematical model is evaluated by a numerical example, and then the sensitivity of the proposed model to important inputs is analysed. Finally, a comparative study based on the Taguchi design approach is given to confirm the capability of the proposed model to achieve remarkable cost savings.

Suggested Citation

  • Salmasnia Ali & Hafezian Rahil & Maleki Mohammad Reza, 2022. "Integrated maintenance, inventory and quality engineering decisions for multi-product systems," Engineering Management in Production and Services, Sciendo, vol. 14(4), pages 94-113, December.
    • Handle: RePEc:vrs:ecoman:v:14:y:2022:i:4:p:94-113:n:3
    DOI: 10.2478/emj-2022-0033
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    References listed on IDEAS

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