تاثیر دیفرانسیلی پیچیدگی محصول، میزان موجودی، و ظرفیت پیکربندی بر عملکرد واحد و میزان تکمیل سفارش
|کد مقاله||سال انتشار||تعداد صفحات مقاله انگلیسی||ترجمه فارسی|
|13464||2010||11 صفحه PDF||سفارش دهید|
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Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Journal of Operations Management, Volume 28, Issue 1, January 2010, Pages 47–57
This paper examines the simultaneous impact of configuration capacity, inventory level, and complexity on service performance as measured by unit and order fill rates in a configure-to-order environment. Demand skew is treated as a control variable. A simulation model based on data from a leading electronics manufacturer is used to test the hypotheses and identify the impact. Results suggest that there are differential direct and interactive effects of examined variables on unit and order fill rates.
Manufacturers often face the need to produce increasingly complex products to meet more specific customer demands. Complexity is manifested as the variety of components in the finished product. In configure-to-order (CTO) production systems, final product configuration starts only after customer orders are received. Typically, the final product consists of multiple components, each having multiple subcomponents with stochastic attach rates and replenishment lead times. An attach rate is the percentage of base models that contain a specific product feature alternative. CTO systems are typical of computer, electronics and equipment manufacturers that await customer orders and then configure the customer specified unit using component inventory. Therefore, in a CTO environment, product complexity increases with increasing number of product components and sub-components, and with increasing variation in component attach rates and replenishment lead times
نتیجه گیری انگلیسی
Performance measurement is an issue of great importance. Performance measures should be chosen to elicit desired employee behavior, equitably assess performance of functions and individuals, complement firm strategy, and even benchmark performance against set goals or industry leaders. This study explores the nuances of performance measurement by specifically investigating how capacity, inventory, complexity, and demand individually and interactively affect unit and order fill rate. Results indicate that there are differences in strength and significance of each factor. The findings indicate that there are differences with regard to improving firm performance and these differences have been highlighted in this work.