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Essays on Stochastic Inventory Model.

The Chinese University of Hong Kong (Hong Kong).

Essays on Stochastic Inventory Model.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
書名/作者:	Essays on Stochastic Inventory Model.
作者:	Yang, Yi.
面頁冊數:	167 p.
附註:	Source: Dissertation Abstracts International, Volume: 73-04, Section: B, page: 2486.
Contained By:	Dissertation Abstracts International73-04B.
標題:	Business Administration, Marketing.
標題:	Business Administration, Management.
標題:	Operations Research.
ISBN:	9781267099587
摘要、提要註:	With increased globalization and competition in the current market, supply chain has become longer and more complicated than ever before. An effective and efficient supply chain is crucial and essential to a successful firm. In a supply chain, inventories are a very important component as the investment in inventories is enormous. This dissertation consists of three essays related to stochastic inventory management.
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3492010

Essays on Stochastic Inventory Model.
Yang, Yi.

Essays on Stochastic Inventory Model. - 167 p.

Source: Dissertation Abstracts International, Volume: 73-04, Section: B, page: 2486.

Thesis (Ph.D.)--The Chinese University of Hong Kong (Hong Kong), 2011.

With increased globalization and competition in the current market, supply chain has become longer and more complicated than ever before. An effective and efficient supply chain is crucial and essential to a successful firm. In a supply chain, inventories are a very important component as the investment in inventories is enormous. This dissertation consists of three essays related to stochastic inventory management.

ISBN: 9781267099587Subjects--Topical Terms:

423167
Business Administration, Marketing.

Essays on Stochastic Inventory Model.
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300 $a 167 p.
500 $a Source: Dissertation Abstracts International, Volume: 73-04, Section: B, page: 2486.
500 $a Adviser: Youhua Chen.
502 $a Thesis (Ph.D.)--The Chinese University of Hong Kong (Hong Kong), 2011.
520 $a With increased globalization and competition in the current market, supply chain has become longer and more complicated than ever before. An effective and efficient supply chain is crucial and essential to a successful firm. In a supply chain, inventories are a very important component as the investment in inventories is enormous. This dissertation consists of three essays related to stochastic inventory management.
520 $a The first essay considers a dynamic non-stationary inventory problem in which replenishment is made in fixed lot sizes (e.g., in full truckloads or full containers). We consider two separate cases: one with exogenous pricing and the other with endogenous pricing. In the first case (exogenous pricing), we show that when the ordering cost contains only a variable component, the reorder-point lot-size policy or (r, Q) policy is optimal for both single-stage and multi-echelon inventory systems. In the presence of a fixed cost, we establish the optimality of batch based (s, S ) policies for the single-stage inventory system. In the second case (endogenous pricing), we show that when the demand function has the additive form and there is only a variable ordering cost, the (r,Q) list-price policy is optimal for the single-stage system, where inventory replenishment follows an (r,Q) policy and the optimal price in each period depends on the order-up-to level.
520 $a The second essay analyzes a periodic-review, stochastic, inventory-control system in which the fixed order-cost is a step function of the order size. In particular, if the order size is within a specified limit, C, then the setup cost is K1; otherwise it is K2, where K2 ≥ K1. This cost structure is motivated from some industrial applications and transportation/production contracts used in practice. Under the condition that K1 ≤ K 2 ≤ K1, we introduce a new concept called C - (K1 ≤ K 2) convexity, which enables us to partially characterize the structure of an optimal ordering policy. For the general condition K 1 ≤ K2, the analysis is facilitated with a different notion called strong K-convexity. Based on this analysis, we provide a partial characterization of the optimal policy and construct an easy-to-implement heuristic method that has near-optimal performance in random test instances. Our study extends or redevelops (with different techniques) several existing results in the literature.
520 $a The third essay studies a firm's periodic-review production/inventory ordering decisions when the next period's setup cost depends on the quantity produced/ ordered in the current period. In particular, if the current period's production/order quantity exceeds a specified threshold value, the system starts the next period in a "warm" state and no fixed setup cost is incurred; otherwise the state is considered "cold" and a positive setup cost is required for production/ ordering. We develop a dynamic programming formulation of the problem and provide a partial characterization of the optimal policy under the assumption that the demands follow a Polya or Uniform distribution. We use the structural results to develop fairly simple heuristic policies, which perform highly effectively in our computational experiments.
590 $a School code: 1307.
650 4 $a Business Administration, Marketing. $3 423167
650 4 $a Business Administration, Management. $3 423062
650 4 $a Operations Research. $3 423094
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710 2 $a The Chinese University of Hong Kong (Hong Kong). $3 506745
773 0 $t Dissertation Abstracts International $g 73-04B.
790 1 0 $a Chen, Youhua, $e advisor
790 $a 1307
791 $a Ph.D.
792 $a 2011
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3492010

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