Title: Joint optimisation of production run length and maintenance policy for an imperfect process with multiple correlated quality characteristics

Authors: Ali Salmasnia; Maryam Kaveie

Addresses: Department of Industrial Engineering, Faculty of Technology and Engineering, University of Qom, Qom, Iran ' Department of Industrial Engineering, Faculty of Technology and Engineering, University of Qom, Qom, Iran

Abstract: The earliest economic production quantity models assumed that the manufacturing process and the quality of produced items are perfect. While in a real situation, non-conforming products are fabricated and machine failure happens. Hence, the production systems are increasingly engaged in the improvement of machines availability and products quality. In this regard, this paper presents an integrated production and maintenance planning model under monitoring multiple quality characteristics. To adapt to the real production conditions, it is considered that quality characteristics are correlated. Furthermore, to improve the power of process monitoring, a Shewhart control chart is designed by considering both economic and statistical criteria. Due to the complexity of the problem, the particle swarm optimisation algorithm is employed to optimise the expected total cost per time unit, subject to statistical quality constraints. Here, an industrial example is given to show applicability of the presented mathematical programming. Furthermore, to demonstrate the validation and effectiveness of the suggested approach, a comparative study is presented. It confirms that the integration of production planning, maintenance policy, and statistical process monitoring leads to a significant increase in the cost savings.

Keywords: production run length; maintenance policy; statistical process monitoring; multiple-quality characteristics.

DOI: 10.1504/IJQET.2022.123486

International Journal of Quality Engineering and Technology, 2022 Vol.8 No.4, pp.379 - 405

Accepted: 11 May 2021
Published online: 23 Jun 2022 *