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Title: Post-Sale Cost Modeling and Optimization Linking Warranty and Preventive Maintenance
Authors: WU JUN
Keywords: Warranty, Preventive maintenance, Cost analysis, Optimization, Finite horizon, Reliability
Issue Date: 19-Jan-2011
Citation: WU JUN (2011-01-19). Post-Sale Cost Modeling and Optimization Linking Warranty and Preventive Maintenance. ScholarBank@NUS Repository.
Abstract: This thesis investigates several important issues in post-sale cost modeling and optimization. The costing of a maintenance program is analyzed under the warranty context from both the manufacturer?s and consumer?s point of view. In particular, for the manufacturer, we study the issue of warranty cost analysis where preventive maintenance (PM) is an important planning tool in terms of service improvement and warranty cost reduction. For the consumer, we investigate the PM scheduling problem during the product life cycle where warranty is an important factor in influencing the maintenance decisions. In addition to costing analysis, warranty as an effective marketing instrument for enhancing the revenue is also discussed. In the modeling of warranty expense for complex systems, the majority of researchers presume the system as a ?black box? which does not utilize the information of inner structure. Chapter 3 studies two basic system structures, i.e. series and parallel, and derives the respective warranty cost functions under renewable warranty policies. Unique in this study is the incorporation of failure dependence factor between each two of the system components. We investigate the impact of such factor on the total warranty expense and the risk of ignoring it. Manufacturers usually rely on the age information of a product as the single metric for maintenance design under warranty. Such policy may result in unnecessary maintenance operations for products with inadequate deterioration. In Chapter 4, we propose such a condition-based warranty policy that counts on the product state information for executing maintenance decisions. We derive the warranty cost functions under both renewable and non-renewable warranty policies, based on which the optimal scheduling of inspection services is further analyzed. For the owners of industrial equipments, investing in maintenance is widely modeled from the costing perspective while the value or return of maintenance investments is seldom emphasized. Motivated by this, Chapter 5 investigates the optimal design of maintenance servicing on revenue-generating equipments by integrating both the cost and value aspects of maintenance. The study assumes imperfect maintenance operations and generalizes the existing periodic PM models. The influence of warranty as well as many other models parameters on the optimal PM decisions is illustrated. In the design of maintenance policies, two major assumptions are commonly adopted: binary system (i.e. functioning or failed) and infinite planning horizon. In contrast, almost all systems are operating under finite life times and many of them exhibit multiple performance levels. Therefore, in Chapter 6, we investigate the repair-replacement policies for multi-state systems (MSS) under finite life cycles. Corrective and preventive replacement decisions are modeled and compared via two control parameters ? a threshold on the current system state and a threshold on the residual life cycle. Value of time is taken into account for the maintenance cost modeling. Extension is further made to generalize the cost functions under the warranty context. Warranty as an effective product marketing tool has been extensively studied in the literature. Majority of the researchers focus on the joint determination of selling price and warranty length that maximizes the seller?s profit (rate) function. In Chapter 7, we further extend this topic by integrating the factor of the buyer?s age-replacement decisions into the design phase of the seller?s product marketing strategy. For such integration to be viable, a game theoretic model is formulated that allows the seller to foresee the buyer?s maintenance decisions and subsequently make his own moves.
Appears in Collections:Ph.D Theses (Open)

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