کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
479923 | 1446044 | 2013 | 11 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: An integrated guaranteed- and stochastic-service approach to inventory optimization in supply chains An integrated guaranteed- and stochastic-service approach to inventory optimization in supply chains](/preview/png/479923.png)
• We integrate the stochastic- and guaranteed-service inventory optimization models.
• The new hybrid-service (HS) approach exploits the benefits of both pure approaches.
• We develop an optimization procedure for serial supply chains.
• The HS approach performs at least as well as the better of the two pure approaches.
• In many settings of our numerical study it delivers additional cost savings.
Multi-echelon inventory optimization literature distinguishes stochastic- (SS) and guaranteed-service (GS) approaches as mutually exclusive frameworks. While the GS approach considers flexibility measures at the stages to deal with stockouts, the SS approach only relies on safety stock. Within a supply chain, flexibility levels might differ between stages rendering them appropriate candidates for one approach or the other. The existing approaches, however, require the selection of a single framework for the entire supply chain instead of a stage-wise choice. We develop an integrated hybrid-service (HS) approach which endogenously determines the overall cost-optimal approach for each stage and computes the required inventory levels. We present a dynamic programming optimization algorithm for serial supply chains that partitions the entire system into subchains of different types. From a numerical study we find that, besides implicitly choosing the better of the two pure frameworks, whose cost differences can be considerable, the HS approach enables additional pipeline and on-hand stock cost savings. We further identify drivers for the preferability of the HS approach.
Journal: European Journal of Operational Research - Volume 231, Issue 1, 16 November 2013, Pages 109–119