KeywordsSystems & Industrial Engineering
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PublisherThe University of Arizona.
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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.
Degree ProgramGraduate College
Systems & Industrial Engineering