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Essays on Inventory Management with ...

Chen, Chun-Miin.

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Essays on Inventory Management with limited data and service level agreement.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Essays on Inventory Management with limited data and service level agreement./
作者:	Chen, Chun-Miin.
面頁冊數:	130 p.
附註:	Source: Dissertation Abstracts International, Volume: 76-04(E), Section: A.
Contained By:	Dissertation Abstracts International76-04A(E).
標題:	Management. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3647425
ISBN:	9781321402162

Essays on Inventory Management with limited data and service level agreement.
Chen, Chun-Miin.

Essays on Inventory Management with limited data and service level agreement. - 130 p.

Source: Dissertation Abstracts International, Volume: 76-04(E), Section: A.

Thesis (Ph.D.)--The Pennsylvania State University, 2014.

This dissertation focuses on two areas arising from various practical considerations in Inventory Management: limited historical data and service level agreements. Particularly, I investigate the inventory control parameters established with limited historical data and analyze the impact of the inventory allocation methods on the non-compliance penalties associated with the service level agreements. The goal of this dissertation is to provide insights on safety stock level estimation given limited historical data, as well as on service level performance of inventory allocations over finite review horizon.

ISBN: 9781321402162Subjects--Topical Terms:

516664
Management.

Essays on Inventory Management with limited data and service level agreement.
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245 1 0 $a Essays on Inventory Management with limited data and service level agreement.
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500 $a Source: Dissertation Abstracts International, Volume: 76-04(E), Section: A.
500 $a Adviser: Douglas J. Thomas.
502 $a Thesis (Ph.D.)--The Pennsylvania State University, 2014.
520 $a This dissertation focuses on two areas arising from various practical considerations in Inventory Management: limited historical data and service level agreements. Particularly, I investigate the inventory control parameters established with limited historical data and analyze the impact of the inventory allocation methods on the non-compliance penalties associated with the service level agreements. The goal of this dissertation is to provide insights on safety stock level estimation given limited historical data, as well as on service level performance of inventory allocations over finite review horizon.
520 $a Between the introduction and the summary, I have formalized three studies to discuss the focused areas of this dissertation. The first study examines the impact of limited historical data with correlated lead time and demand on the determination of a key inventory control parameter -- the reorder point. Operating a continuous-review inventory system, a supplier can use a variety of approaches to establish the reorder point for the system. In particular, the indirect approach refers to estimating distributions of lead time and demand separately and then convolving these estimates to obtain an estimate for demand during lead time. On the other hand, the direct approach refers to estimating the distribution of demand during lead time directly. The numerical experiments show that the limited data can result in significant expected cost increase or the service levels significantly deviating from the target. Moreover, different correlations between lead time and demand can unravel the performances of the approaches, but the direct approach tends to outperform the naive indirect approach that ignores the correlations.
520 $a The second study investigates inventory allocation methods for a supplier facing multiple retailers, each with a service-level agreement (SLA) in place. Operating a base-stock, periodic-review inventory system, a supplier can use a variety of methods for allocating scarce supply across retailers. Assuming any SLA non-compliance result in a at-fee service level penalty, I examine how different allocations can affect the supplier's expected profit and service level over time. I find that, if the target fill rate is 100%, then the service level performance of the allocation methods can be ranked, regardless of the length of the review horizon, the number of retailers, or the demand distribution. When the target fill rate is less than 100%, I identify examples where allocation methods cannot be consistently ranked.
520 $a The third study extends the second study by considering the order fill rate which is computed as the total quantity of all items received divided by the total quantity of all items ordered. That is, the supplier incurs the SLA non-compliance penalty if the order fill rate does not achieve the target, even if some item fill rates achieve the target. I investigate the effect of the order fill rate on the service level performance of the item-based inventory allocation methods discussed in the second study by allowing multiple identical retailers to place orders for multiple items. The analytical results show that the ranking of item-based inventory allocation methods remains. I develop and investigate new allocation methods, extending the item-based versions from the previous study. I find that the optimal allocation for maximizing the expected order fill rate and service level are functions of the order size instead of the individual item demand size.
520 $a In summary, I investigate and compare the performances of inventory control parameter estimation approaches and allocation methods from both analytical and numerical perspectives. The findings aim to shed lights on inventory manager's decision making process in view of various practical conditions.
590 $a School code: 0176.
650 4 $a Management. $3 516664
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710 2 0 $a The Pennsylvania State University. $b Supply Chain and Information Systems. $3 3176117
773 0 $t Dissertation Abstracts International $g 76-04A(E).
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791 $a Ph.D.
792 $a 2014
793 $a English
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