<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

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

Engineering Management in Production and Services

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

It is essential for manufacturers to consider the interrelation among quality, inventory, and maintenance decisions to detect imperfect quality products, keep...

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

Online veröffentlicht: 19. Jan. 2023

Seitenbereich: 94 - 113

Eingereicht: 10. Aug. 2022

Akzeptiert: 15. Nov. 2022

DOI: https://doi.org/10.2478/emj-2022-0033

Schlüsselwörter
multi-product system, production planning, maintenance scheduling, control chart, inventory planning, imperfect production system

© 2022 Ali Salmasnia et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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

Online veröffentlicht: 19. Jan. 2023

Seitenbereich: 94 - 113

Eingereicht: 10. Aug. 2022

Akzeptiert: 15. Nov. 2022

DOI: https://doi.org/10.2478/emj-2022-0033

Schlüsselwörtermulti-product system, production planning, maintenance scheduling, control chart, inventory planning, imperfect production system

© 2022 Ali Salmasnia et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
multi-product system, production planning, maintenance scheduling, control chart, inventory planning, imperfect production system