{"title":"Multi-Product Production Optimization of Maintenance Integrated into the Control Chart Under Service Level and Quality Constraints","authors":"Aminu Sahabi Abubakar, Z. Hajej, Aime C. Nyoungue","doi":"10.18775/ijom.2757-0509.2020.32.4001","DOIUrl":null,"url":null,"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.","PeriodicalId":38027,"journal":{"name":"International Journal of Advanced Operations Management","volume":"37 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Advanced Operations Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18775/ijom.2757-0509.2020.32.4001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Business, Management and Accounting","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
In today''s complex, global economy, the operations function is critical to business success. All organisations have an operations function that helps them run efficiently and productively. IJAOM is a peer reviewed international journal which publishes original, high-quality and cutting-edge research on all aspects of advanced operations management, aiming at bridging the gap between theory and practice with applications analysing the real situation. Topics covered include -Global operations management, lean/agile operations -Knowledge, service, demand and R&D management -Scheduling, sequencing, vehicle routing -Inventory management and co-ordination -Multi-objective optimisation; TQM and six sigma practices -Business process outsourcing -Aggregate planning, ERP, JIT -Performance measurement -Cultural, environmental and implementation issues -Logistics service performance, supply chain management -Product planning, lot sizing, MPS, MRP -Repetitive manufacturing and service operations -Project and technology management, network management -Modelling and simulation, decision analysis/making -Comparison of operations management in different countries