Persistent Link:
http://hdl.handle.net/10150/307008
Title:
Reliability and Service Logistics Management for a New Product
Author:
Xie, Wei
Issue Date:
2013
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
When customers buy a new product, the reliability related issues such as the warranty/post-warranty service and the performance of the product are becoming important factors in the customers' decision-making process. In this dissertation, some important aspects in estimating both warranty and post-warranty repair demands have been studied. To ensure the new product will have a good performance, the availability of a repairable k-out-of-n:G system considering spare parts logistics is investigated. The installed base of the product varies with time due to both new sales and units being taken out of service is considered. We explicitly address the fact that customers may not always request repairs for failed units and formulate the corresponding warranty and post-warranty repair demands for a general failure process. For the case where the product failure time is exponential, we derive the closed-form expressions for the two types of repair demands for both an individual unit and the installed base. A step further, we develop an integrated model to estimate the gross profit for a new durable product to be sold in a fixed sales period at a fixed price. The sales over time is characterized by a stochastic Bass model and the production system is a make-to-order type of system. An approximate, yet accurate approach is developed to quantify the expected total cost of production involving a learning effect. The analysis of key parameters that affect the optimal gross profit is carried out in numerical examples. Finally, the availability management of a new product (or system) is studied. We introduce a collection of operational availability maximization problems, in which the component redundancy levels and the spares stock quantities are to be determined simultaneously under economic and physical constraints.
Type:
text; Electronic Dissertation
Keywords:
Systems & Industrial Engineering
Degree Name:
Ph.D.
Degree Level:
doctoral
Degree Program:
Graduate College; Systems & Industrial Engineering
Degree Grantor:
University of Arizona
Advisor:
Liao, Haitao

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleReliability and Service Logistics Management for a New Producten_US
dc.creatorXie, Weien_US
dc.contributor.authorXie, Weien_US
dc.date.issued2013-
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractWhen customers buy a new product, the reliability related issues such as the warranty/post-warranty service and the performance of the product are becoming important factors in the customers' decision-making process. In this dissertation, some important aspects in estimating both warranty and post-warranty repair demands have been studied. To ensure the new product will have a good performance, the availability of a repairable k-out-of-n:G system considering spare parts logistics is investigated. The installed base of the product varies with time due to both new sales and units being taken out of service is considered. We explicitly address the fact that customers may not always request repairs for failed units and formulate the corresponding warranty and post-warranty repair demands for a general failure process. For the case where the product failure time is exponential, we derive the closed-form expressions for the two types of repair demands for both an individual unit and the installed base. A step further, we develop an integrated model to estimate the gross profit for a new durable product to be sold in a fixed sales period at a fixed price. The sales over time is characterized by a stochastic Bass model and the production system is a make-to-order type of system. An approximate, yet accurate approach is developed to quantify the expected total cost of production involving a learning effect. The analysis of key parameters that affect the optimal gross profit is carried out in numerical examples. Finally, the availability management of a new product (or system) is studied. We introduce a collection of operational availability maximization problems, in which the component redundancy levels and the spares stock quantities are to be determined simultaneously under economic and physical constraints.en_US
dc.typetexten_US
dc.typeElectronic Dissertationen_US
dc.subjectSystems & Industrial Engineeringen_US
thesis.degree.namePh.D.en_US
thesis.degree.leveldoctoralen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineSystems & Industrial Engineeringen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorLiao, Haitaoen_US
dc.contributor.committeememberLiao, Haitaoen_US
dc.contributor.committeememberLiu, Jianen_US
dc.contributor.committeememberHead, Larryen_US
dc.contributor.committeememberJin, Tongdanen_US
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