دانلود مقاله ISI انگلیسی شماره 107624
ترجمه فارسی عنوان مقاله

تجزیه و تحلیل میزان نرخ افق زمانی محدود برای موارد چند مشتری

عنوان انگلیسی
Finite time horizon fill rate analysis for multiple customer cases
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
107624 2018 41 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Omega, Volume 76, April 2018, Pages 1-17

ترجمه کلمات کلیدی
مدیریت موجودی، سیاست پایه سهام، توافقنامه سطح خدمات، مشتریان چندگانه،
کلمات کلیدی انگلیسی
Inventory management; Base stock policy; Service level agreement; Multiple customers;
پیش نمایش مقاله
پیش نمایش مقاله  تجزیه و تحلیل میزان نرخ افق زمانی محدود برای موارد چند مشتری

چکیده انگلیسی

The item fill rate – defined as the fraction of demand that is immediately satisfied from on-hand stock – is commonly used as a performance measure in service level agreements between customers and suppliers. Under such agreements, the fill rate is measured over a finite horizon (the performance review period) and the supplier faces a financial penalty if an agreed target is not met. The distribution of the item fill rate (fill rate) determines the probability of exceeding the agreed target, it is therefore a point of interest in SLA coordination. The average finite horizon fill rate decreases with an increase in performance review period length. However, the impact of performance review period length on the shape of the fill rate distribution is not well understood. Past studies of finite horizon fill rate only consider a single customer in the supply chain. In this study, we analyze fill rate distributions for a supplier that has multiple customers each with their own service level agreement. We examine the effects of performance review period length, choice of demand fulfillment (service) policy and correlation between customers’ demands on both the average fill rate and the probability of achieving the target fill rate. This study provides new insights into service level agreement coordination between suppliers and customers. For instance, the results show that a supplier with multiple customers must take care with choosing a service policy, as rationing will affect the fill rate distribution and hence the realized service level.