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Supply Chain and Revenue Management ...
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ProQuest Information and Learning Co.
Supply Chain and Revenue Management for Online Retailing.
Record Type:
Language materials, manuscript : Monograph/item
Title/Author:
Supply Chain and Revenue Management for Online Retailing./
Author:
Jiang, Yuchen.
Description:
1 online resource (125 pages)
Notes:
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Contained By:
Dissertation Abstracts International79-12B(E).
Subject:
Industrial engineering. -
Online resource:
click for full text (PQDT)
ISBN:
9780438125339
Supply Chain and Revenue Management for Online Retailing.
Jiang, Yuchen.
Supply Chain and Revenue Management for Online Retailing.
- 1 online resource (125 pages)
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Thesis (Ph.D.)--University of Michigan, 2018.
Includes bibliographical references
This dissertation focuses on optimizing inventory and pricing decisions in the online retail industry. Motivated by the importance of great customer service quality in the online retail marketplace, we investigate service-level-constrained inventory control problems in both static and dynamic settings.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9780438125339Subjects--Topical Terms:
679492
Industrial engineering.
Index Terms--Genre/Form:
554714
Electronic books.
Supply Chain and Revenue Management for Online Retailing.
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Jiang, Yuchen.
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Supply Chain and Revenue Management for Online Retailing.
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2018
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1 online resource (125 pages)
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Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
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Advisers: Siqian May Shen; Cong Shi.
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Thesis (Ph.D.)--University of Michigan, 2018.
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Includes bibliographical references
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This dissertation focuses on optimizing inventory and pricing decisions in the online retail industry. Motivated by the importance of great customer service quality in the online retail marketplace, we investigate service-level-constrained inventory control problems in both static and dynamic settings.
520
$a
The first essay studies multi-period production planning problems (with or without pricing options) under stochastic demand. A joint service-level constraint is enforced to restrict the joint probability of having backorders in any period. We use the Sample Average Approximation (SAA) approach to reformulate both chance-constrained models as mixed-integer linear programs (MILPs). Via computations of diverse instances, we demonstrate the effectiveness of the SAA approach, analyze the solution feasibility and objective bounds, and conduct sensitivity analysis. The approaches can be generalized to a wide variety of production planning problems.
520
$a
The second essay investigates the dynamic versions of the service-level-constrained inventory control problems, in which retailers have the flexibility to adjust their inventory policies in each period. We formulate two periodic-review stochastic inventory models (backlogging model and remanufacturing model) via Dynamic Programs (DP), and establish the optimality of generalized base-stock policies. We also propose 2-approximation algorithms for both models, which is computationally more efficient than the brute-force DP. The core concept developed in our algorithms is called the delayed marginal cost, which is proven effective in dealing with service-level-constrained inventory systems.
520
$a
The third essay is motivated by the exploding use of sales rank information in today's internet-based e-commerce marketplace. The sales rank affects consumers' shopping preference and therefore, is critical for retailers to utilize when making pricing decisions. We study periodic-review dynamic pricing problems in presence of sales rank, in which customers' demand is a function of both prices and sales rank. We propose rank-based pricing models and characterize the structure and monotonicity of optimal pricing policies. Our numerical experiments illustrate the potential of revenue increases when strategic cyclic policy is used.
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Electronic reproduction.
$b
Ann Arbor, Mich. :
$c
ProQuest,
$d
2018
538
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Mode of access: World Wide Web
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Industrial engineering.
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679492
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Electronic books.
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554714
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ProQuest Information and Learning Co.
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University of Michigan.
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Industrial & Operations Engineering.
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1181972
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Dissertation Abstracts International
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79-12B(E).
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10902926
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click for full text (PQDT)
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