服务水平和质量约束下集成到控制图中的多产品生产维修优化

Q2 Business, Management and Accounting International Journal of Advanced Operations Management Pub Date : 2023-05-01 DOI:10.18775/ijom.2757-0509.2020.32.4001
Aminu Sahabi Abubakar, Z. Hajej, Aime C. Nyoungue
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引用次数: 0

摘要

这项工作提出了一个结合生产、维护和质量控制的供应链管理系统。在这项工作中,我们考虑了一个联合模型生产系统,该系统由一台生产多种产品的机器组成,并连接到一个多仓库,以满足整个生产过程中客户对所有产品不断变化和特征化的需求。这项工作将回答一些关于生产哪种产品以及每种产品生产多少的管理问题。然后需要制定与之相适应的维修策略,优化生产计划。不可靠的生产系统容易发生随机故障,直接影响产品质量。生产率、库存管理和利用率的差异影响着生产系统的状态及其维护演变。过程及其质量的控制采用多级统计过程控制(SPC)及其工具“平均控制图”进行。目标是创建一个约束优化模型,在满足跨多个仓库和随时间变化的客户请求的同时降低总成本。我们考虑了生产率对生产机器退化的影响、不断增加的故障模型以及基于控制图最优参数的维修方法。
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Multi-Product Production Optimization of Maintenance Integrated into the Control Chart Under Service Level and Quality Constraints
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.
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来源期刊
International Journal of Advanced Operations Management
International Journal of Advanced Operations Management Decision Sciences-Management Science and Operations Research
CiteScore
2.20
自引率
0.00%
发文量
18
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
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