國立虎尾科技大學 |

Language: English

Back

Incentive Mechanisms For Inventory C...

The University of Texas at Dallas.

Incentive Mechanisms For Inventory Control and Promotion Planning in Value Chain Management.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Incentive Mechanisms For Inventory Control and Promotion Planning in Value Chain Management./
Author:	Kadiyala, Bharadwaj.
Description:	1 online resource (152 pages)
Notes:	Source: Dissertation Abstracts International, Volume: 79-07(E), Section: B.
Contained By:	Dissertation Abstracts International79-07B(E).
Subject:	Operations research. -
Online resource:	click for full text (PQDT)
ISBN:	9780355656091

Incentive Mechanisms For Inventory Control and Promotion Planning in Value Chain Management.
Kadiyala, Bharadwaj.

Incentive Mechanisms For Inventory Control and Promotion Planning in Value Chain Management. - 1 online resource (152 pages)

Source: Dissertation Abstracts International, Volume: 79-07(E), Section: B.

Thesis (Ph.D.)--The University of Texas at Dallas, 2017.

Includes bibliographical references

Today's value chains consist of multiple economic agents interacting at different levels so that a product or service is delivered to its end customers in an efficient fashion. This dissertation explores the role of incentives in better coordinating such complex value chain operations on the supply and demand sides of the market. In particular, we study inventory and promotion mechanisms, which firms can use to facilitate demand information sharing to better manage inventory upstream and boost customer demand by providing temporary price incentives in a sales promotion downstream, respectively. We adopt a data-driven approach in that we propose statistical frameworks that incorporate real-time data, and which can be used by decision makers to design and measure the impact of offering such incentives.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355656091Subjects--Topical Terms:

573517
Operations research.
Index Terms--Genre/Form:

554714
Electronic books.

Incentive Mechanisms For Inventory Control and Promotion Planning in Value Chain Management.
LDR:02093ntm a2200349Ki 4500 001 920736
005 20181203094033.5
006 m o u
007 cr mn||||a|a||
008 190606s2017 xx obm 000 0 eng d
020 $a 9780355656091
035 $a (MiAaPQ)AAI10759987
035 $a (MiAaPQ)0382vireo:378Kadiyala
035 $a AAI10759987
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Kadiyala, Bharadwaj. $3 1195609
245 1 0 $a Incentive Mechanisms For Inventory Control and Promotion Planning in Value Chain Management.
264 0 $c 2017
300 $a 1 online resource (152 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertation Abstracts International, Volume: 79-07(E), Section: B.
500 $a Adviser: Ozalp Ozer.
502 $a Thesis (Ph.D.)--The University of Texas at Dallas, 2017.
504 $a Includes bibliographical references
520 $a Today's value chains consist of multiple economic agents interacting at different levels so that a product or service is delivered to its end customers in an efficient fashion. This dissertation explores the role of incentives in better coordinating such complex value chain operations on the supply and demand sides of the market. In particular, we study inventory and promotion mechanisms, which firms can use to facilitate demand information sharing to better manage inventory upstream and boost customer demand by providing temporary price incentives in a sales promotion downstream, respectively. We adopt a data-driven approach in that we propose statistical frameworks that incorporate real-time data, and which can be used by decision makers to design and measure the impact of offering such incentives.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Operations research. $3 573517
650 4 $a Marketing. $3 557931
650 4 $a Business administration. $3 1148568
655 7 $a Electronic books. $2 local $3 554714
690 $a 0796
690 $a 0338
690 $a 0310
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a The University of Texas at Dallas. $b Management Science. $3 1181148
773 0 $t Dissertation Abstracts International $g 79-07B(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10759987 $z click for full text (PQDT)

based on 0 review(s)

Multimedia

Reviews

Add a review and share your thoughts with other readers

Export

pickup library