Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/135832
Title: SPARSE SOLUTION IN OPERATIONS: ROUTING AND PRICING PROBLEMS
Authors: YAN ZHENZHEN
Keywords: Sparse Operations, Conic Program, Strong Duality, Sensitivity Analysis, Marginal Distribution Functions, Data-Driven Pricing
Issue Date: 7-Mar-2017
Source: YAN ZHENZHEN (2017-03-07). SPARSE SOLUTION IN OPERATIONS: ROUTING AND PRICING PROBLEMS. ScholarBank@NUS Repository.
Abstract: The belief that “a little flexibility added at the right place can reap significant benefits for operations” has been widely accepted by the operations management community. Unfortunately, despite the extensive literature on operational flexibility, to date, there is no known methodology that can be used to guide managers to design sparse (i.e., slightly flexible) and yet efficient operations. This dissertation focuses on developing a generic method to design such a sparse solution in a general supply chain network, and understand the performance of some special sparse pricing schemes in a bundle pricing problem. We observe the importance of the marginal distribution function of consumer utility in studying the bundle pricing problem. We further address its benefit in a multi-product pricing problem in the last chapter. In addition, we develop a novel data-driven pricing framework “Marginal Estimation + Price Optimization” for the multi-product pricing problem from aggregate sales data.
URI: http://scholarbank.nus.edu.sg/handle/10635/135832
Appears in Collections:Ph.D Theses (Open)

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