東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Inventory models with multiple order...

Li, Jian.

FindBook

Google Book

Amazon

博客來

Inventory models with multiple order opportunities.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Inventory models with multiple order opportunities./
作者:	Li, Jian.
面頁冊數:	113 p.
附註:	Source: Dissertation Abstracts International, Volume: 66-10, Section: A, page: 3718.
Contained By:	Dissertation Abstracts International66-10A.
標題:	Business Administration, Management. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3191512
ISBN:	9780542349546

Inventory models with multiple order opportunities.
Li, Jian.

Inventory models with multiple order opportunities. - 113 p.

Source: Dissertation Abstracts International, Volume: 66-10, Section: A, page: 3718.

Thesis (Ph.D.)--Purdue University, 2005.

We examine the structure of the optimal ordering policies for several inventory models with multiple order opportunities. The inventory models that are examined in this thesis are: (1) the newsvendor model with a second order opportunity; (2) the stochastic multi-period inventory model with limited order opportunities; and (3) the stochastic multi-period inventory model with two supply modes.

ISBN: 9780542349546Subjects--Topical Terms:

626628
Business Administration, Management.

Inventory models with multiple order opportunities.
LDR:03905nmm 2200325 4500 001 1821389
005 20061110075041.5
008 130610s2005 eng d
020 $a 9780542349546
035 $a (UnM)AAI3191512
035 $a AAI3191512
040 $a UnM $c UnM
100 1 $a Li, Jian. $3 1270327
245 1 0 $a Inventory models with multiple order opportunities.
300 $a 113 p.
500 $a Source: Dissertation Abstracts International, Volume: 66-10, Section: A, page: 3718.
500 $a Major Professor: Suresh Chand.
502 $a Thesis (Ph.D.)--Purdue University, 2005.
520 $a We examine the structure of the optimal ordering policies for several inventory models with multiple order opportunities. The inventory models that are examined in this thesis are: (1) the newsvendor model with a second order opportunity; (2) the stochastic multi-period inventory model with limited order opportunities; and (3) the stochastic multi-period inventory model with two supply modes.
520 $a For (1), we develop three models (Models I, II, and III) that differ in the timing of the second order. In all three models, the first order is placed for delivery at the beginning of the season. In Model I, the second order quantity is determined at the beginning of the season for delivery at a pre-specified time. In Model II, the second order quantity is determined at some pre-specified time that can be any where during the season. In Model III, both the timing and quantity of the second order are determined dynamically.
520 $a For Model III, we establish for the first time that under appropriate conditions, the decision to place a second order is characterized by a time-dependent (s,S) policy. A counterexample is presented that suggests that the policy structure under more general conditions would likely be more complex. Model II is a generalization of the model of Fisher et al. (2001). We show that under mild regularity conditions, this problem has sufficient structure to reduce to a sequential search of two programs, each of which has at most one local minimum. For Model I, we establish robust conditions under which the optimization behaves well.
520 $a For (2), we examine a model under the assumptions that shortages are backordered, demand density functions fall in PF2 family and unit purchase cost is non-decreasing as we get closer to the end of the problem horizon. We show that a time varying (s,S) policy is the optimal decision rule for this model.
520 $a For (3), the two supply modes differ in their delivery leadtimes. The chapter contributes by showing that there are unique "order up to" levels to determine the order quantities from these two suppliers. We identify conditions when it is optimal to order from just one supplier or from both. In case it is optimal to order from both in a period, we show that at the beginning of the period, if the beginning inventory level is between a certain pair of points, then it is optimal to raise the inventory position to the higher point through a slow order. However, if the beginning inventory position is lower than the lower point, then the inventory level is first raised up to this point through a fast order and then the inventory position is raised up to the higher point through a slow order. If the beginning inventory is higher than the higher point, no order needs to be placed. The optimal policies in this chapter are supported by the property that the cost is unimodal in the beginning inventory position and convex in the beginning inventory level. We need the PF2 density assumption to prove this property.
590 $a School code: 0183.
650 4 $a Business Administration, Management. $3 626628
650 4 $a Operations Research. $3 626629
690 $a 0454
690 $a 0796
710 2 0 $a Purdue University. $3 1017663
773 0 $t Dissertation Abstracts International $g 66-10A.
790 1 0 $a Chand, Suresh, $e advisor
790 $a 0183
791 $a Ph.D.
792 $a 2005
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3191512