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Multi-Product Production Optimization of Maintenance Integrated into the Control Chart Under Service Level and Quality Constraints

Aminu Sahabi Abubakar, Zied Hajej and Aime C. Nyoungue
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Aminu Sahabi Abubakar: Université de Lorraine, LGIPM, F-57000 Metz, France
Zied Hajej: Université de Lorraine, LGIPM, F-57000 Metz, France
Aime C. Nyoungue: Université de Lorraine, LGIPM, F-57000 Metz, France

International Journal of Operations Management, 2023, vol. 3, issue 2, 7-21

Abstract: This work proposes a combined production, maintenance, and quality control for a supply chain management system. In this work, we consider a joint model production system consisting of a single machine producing multi-products connected to a multi-warehouse to satisfy changing and characterized customer demand for all the products throughout the production horizon. The work will answer some managerial questions about which product to produce and how much each is to make. Then the need for a maintenance strategy corresponding to the optimal production plan. The unreliable production system is prone to random failure, directly impacting product quality. The variance in production rate, inventory management, and utilization affects the status of the production system and its maintenance evolution. The control of the process and its quality is carried out using a multi-level statistical process control (SPC) and its tool, “control chart of average.†The goal is to create a constraint optimization model that reduces total cost while meeting changing customer requests across many warehouses and over time. We consider the impact of production rate on the production machine degradation, the increasing failure model, and maintenance methods based on the optimal parameters of the control chart.

Keywords: Varying demand; Production optimization; Control chart; Maintenance strategy; Cost minimization (search for similar items in EconPapers)
JEL-codes: M00 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:mgs:iojome:v:3:y:2023:i:2:p:7-21

DOI: 10.18775/ijom.2757-0509.2020.32.4001

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