Production lot sizing with quality screening and rework

IF 4.4 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Applied Mathematical Modelling Pub Date : 2016-02-15 Epub Date: 2015-10-23 DOI:10.1016/j.apm.2015.09.095
Lama Moussawi-Haidar , Moueen Salameh , Walid Nasr
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引用次数: 52

Abstract

Most production systems produce items which are of imperfect quality. Handling of the defective items varies by industry and product types. For example, defective items may be sold at discount in the apparel industry, or reworked in the automobile industry where the final product is very expensive. For simplicity, a common assumption in the literature is that items are lumped into two groups, non-defective and to-be-reworked products, ignoring the inspection time needed to identify the repairable items. Our paper explicitly integrates the inspection time into the economic production model with rework, and demonstrates the significant effect that the inspection time has on the results. We consider a manufacturing process with random supply and a screening process conducted during and at the end of production. We analyze two scenarios for dealing with the defective items produced: selling at a discount, and reworking. For each scenario, the demand during production is met using non-defective items only. The expected profit functions are developed using the renewal reward theory, and closed form expressions for the optimal production lot size are derived. Numerical analysis is performed to study the sensitivity of the expected profit and optimal lot size to various system parameters.

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生产批量与质量筛选和返工
大多数生产系统生产的产品质量不完美。对不良品的处理因行业和产品类型而异。例如,有缺陷的产品可能在服装业打折出售,或者在汽车工业中返工,最终产品非常昂贵。为了简单起见,文献中一个常见的假设是将产品集中到两组,无缺陷产品和待返工产品,忽略了识别可修复产品所需的检查时间。本文明确地将检验时间整合到带返工的经济生产模型中,并论证了检验时间对结果的显著影响。我们考虑一个随机供应的制造过程和一个在生产过程中和生产结束时进行的筛选过程。我们分析了两种处理不良品的方案:打折销售和返工。对于每种情况,生产过程中的需求只使用无缺陷的物品来满足。利用更新奖励理论建立了期望利润函数,导出了最优生产批量的封闭表达式。通过数值分析,研究了期望利润和最优批数对不同系统参数的敏感性。
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来源期刊
Applied Mathematical Modelling
Applied Mathematical Modelling 数学-工程:综合
CiteScore
9.80
自引率
8.00%
发文量
508
审稿时长
43 days
期刊介绍: Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged. This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering. Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.
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