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.
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.