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The purpose of this paper is to review and develop stochastic models for the evaluation of the expected warranty cost, from dealer's viewpoint, for second hand items sold under different warranty policies.

This study makes a useful contribution to the warranty literature by developing a framework to study one dimensional warranty policies for second‐hand products from dealer's viewpoint. Also, numerical examples are provided to illustrate the application of these models.

Despite the fact that warranties for second‐hand products are commonly used, the accurate pricing of warranties in many situations remains an unsolved problem, for both the dealer and customer. The proposed framework allows the dealer to analyze the cost of alternative warranty policies before deciding on the policy to be offered with the sale of a second‐hand item.

The policies and models developed in this paper can be useful in managerial decisions making related to second‐hand products such as automobiles, home appliances, helicopters, electronic equipment and electronics.

This paper proposes optimisation models to evaluate and examine the selling of extended warranty policies in terms of improved profits in producing/marketing remanufactured products. These models are numerically solved using a quadratic programming solution approach and implemented in the decision support system (DSS).

The purpose of this paper is to develop the optimisation models for a DSS and evaluate different warranty policies for buyers.

This study has demonstrated the flexibility and usefulness of a model-driven DSS for the quality and warranty management, which is applied to examine and evaluate different configurations (i.e. component reuse, rebuild and recycle) for remanufactured products and propose the selling of extended warranty policies for buyers.

The developed model-driven DSS can assist manufacturers to select and increase the number of components, e.g. to be reused, rebuilt, and recycled for producing a remanufactured product and propose suitable warranty policies for buyers. However, this study focusses only on the evaluation of warranty policies for specific remanufactured products in a DSS, i.e. types of air compressors for production operations in manufacturing industry.

This study developed optimisation models to be used in a DSS for proposing the selling of extended warranty of a remanufactured product to improve customer satisfaction and maximise the gained profits for manufacturers.

The purpose of this paper is to develop an attractiveness index-based warranty cost model considering decision variables as design alternatives, warranty duration and support level.

A warranty optimization approach is illustrated using a real life example of an automobile engine with Mean Time Between Failures and Warranty Attractiveness Index as constraints.

It will help to improve the customer satisfaction by giving a more attractive warranty compared to that being offered by the competitors.

Approaches that consider the effect of decision variables on attractiveness of a warranty policy in a quantitative manner have received relatively less attention. The paper attempts to capture the attractiveness of warranty from the manufacturer as well as customer point of view.

The proposed approach will help manufacturers to take appropriate decisions related to warranty parameters and component selection at the design stage.

This case study aims to develop and empirically test a general framework for the implementation and evaluation of a warranty policy (i.e. implementation, support structure, and evaluation stages) within the context of a high‐tech global firm.

The sample consisted of the employees of an anonymous US‐based global high tech firm.

The findings for the implementation stage report that the cost and profit centers should have their costs allocated on the basis of activity. For the support structure, there is a negative response to outsourcing as an option for implementing the warranty policy. For the evaluation, findings report that US firms should reevaluate their pricing, quality, and warranty strategy for domestic and international markets.

This case study can be expanded by examining how companies balance the cost/quality/warranty ability of the product, the techniques used to allocate warranty costs, and to evaluate multiple companies/industries, perhaps with a longitudinal focus.

Findings report that the budgeted costs should be allocated depending on the type of incident. The majority of outsourcing opponents consisted of service personnel while those in favor were from product marketing departments. Also, the US firms need to provide written warranty information to their customers.

The proposed framework will satisfy a current, critical need to provide guidelines for the steps needed to implement and evaluate a warranty policy within a context of a high tech global company. Additionally, this case research study's key contribution lies in its attempt to address warranty management processes within a multitude of a firm's departments. Furthermore, the anonymous high tech company used in this study was chosen as a sample because the company offered a wide range of products, warranties, and service options. The company also utilized a vast reseller base to sell and service its products. This method offered the potential to gain better insight with regards to the role of resellers in a warranty program. It also marketed products and services to six specific industries: financial, retail, transportation, manufacturing, communications, and the public. This broad industrial perspective gave the study added cross‐industries' insight in reference to implementation and evaluation of a good warranty policy since the anonymous high tech company considers these industries to be sustainable industries in the USA and abroad.

The purpose of this paper is to investigate preventive‐repair warranty policies for repairable deteriorating systems using Zhang's geometric process repair model.

The paper aims to establish the importance of preventive repair during warranty. Three cost models have been developed using the average cost rate for the system as the objective function, employing N‐policy for two models therein.

The models have practical applications in warranty cost analysis, as product warranty is an important factor in designing an optimal maintenance policy.

The paper observes that product warranty has not been considered in the study of maintenance policies for repairable deteriorating systems using monotone processes. The numerical example given illustrates that a preventive repair during warranty with N‐policy is preferable compared with a non‐warranted product or a warranted product without preventive repair.

The purpose of this paper is to address what a sound warranty policy entails by identifying the key variables involved in the development of a warranty program.

The sample population was composed of employees in the US division involved with high‐tech product warranties. A survey questionnaire was used to collect data from the participants.

The paper finds that the formality of the warranty policy should depend on its complexity. Differences exist between types of warranty based on the product knowledge of the buyer. Although a standardized warranty is easy to administer, as the product line diversifies, it becomes more challenging to standardize.

This study can be expanded by examining how companies balance the cost/quality/warranty ability of the product, the techniques used to allocate warranty costs, and to evaluate multiple companies/industries, perhaps with a longitudinal focus.

The formality can be used to communicate the product warranty throughout the organization. Each department has a responsibility to the customer, so team members from service, product development, and marketing should plan and develop the warranty. A standardized warranty can send a clearer message to a customer about a firm's products. Simplifying front and back‐end processing and streamlining support structures can reduce costs.

In this paper, the identified key variable is brought out in warranty management framework. The development of this framework will satisfy a current, critical need to provide guidelines with all the steps needed to develop a warranty policy.

The study aims to design the limited number of random working cycle as a warranty term and propose two types of warranties, which can help manufacturers to ensure the product reliability during the warranty period. By extending the proposed warranty to the consumer's post-warranty maintenance model, besides the authors investigate two kinds of random maintenance policies to sustain the post-warranty reliability, i.e. random replacement first and random replacement last. By integrating depreciation expense depending on working time, the cost rate is constructed for each random maintenance policy and some special cases are provided by discussing parameters in cost rates. Finally, sensitivities on both the proposed warranty and random maintenance policies are analyzed in numerical experiments.

The working cycle of products can be monitored by advanced sensors and measuring technologies. By monitoring the working cycle, manufacturers can design warranty policies to ensure product reliability performance and consumers can model the post-warranty maintenance to sustain the post-warranty reliability. In this article, the authors design a limited number of random working cycles as a warranty term and propose two types of warranties, which can help manufacturers to ensure the product reliability performance during the warranty period. By extending a proposed warranty to the consumer's post-warranty maintenance model, the authors investigate two kinds of random replacement policies to sustain the post-warranty reliability, i.e. random replacement first and random replacement last. By integrating a depreciation expense depending on working time, the cost rate is constructed for each random replacement and some special cases are provided by discussing parameters in the cost rate. Finally, sensitivities to both the proposed warranties and random replacements are analyzed in numerical experiments.

It is shown that the manufacturer can control the warranty cost by limiting number of random working cycle. For the consumer, when the number of random working cycle is designed as a greater warranty limit, the cost rate can be reduced while the post-warranty period can't be lengthened.

The contribution of this article can be highlighted in two key aspects: (1) the authors investigate early warranties to ensure reliability performance of the product which executes successively projects at random working cycles; (2) by integrating random working cycles into the post-warranty period, the authors is the first to investigate random maintenance policy to sustain the post-warranty reliability from the consumer's perspective, which seldom appears in the existing literature.

The purpose of the paper is to develop a conceptual framework that integrates the technology and commercial issues early at the design stage to minimize warranty costs in the most effective and efficient manner and also to develop a model for optimization of warranty with specific focus on reliability and warranty policies.

The critical issues in warranty are addressed which affect the warranty cost. An optimization model to achieve multiple goals like minimization of the warranty cost and improving the reliability of the product is developed using genetic algorithm as a solution methodology. The model is illustrated with a real case of automobile engine.

The results of the optimization show improvement in mean time between failures (MTBF) which results due to improvement in the product reliability and also the targeted warranty cost is achieved.

The model developed needs to be further extended with inclusion of additional decision variable such as support level offered and more objectives such as attractiveness of the warranty from the customer's view point and spares cost to the customer.

The paper provides the help to the designers at the design stage to take the decisions related to warranty in deciding the warranty parameters.

The purpose of this paper is to identify and quantify the key components of the overall cost of software development when warranty coverage is given by a developer. Also, the authors have studied the impact of imperfect debugging on the optimal release time, warranty policy and development cost which signifies that it is important for the developers to control the parameters that cause a sharp increase in cost.

An optimization problem is formulated to minimize software development cost by considering imperfect fault removal process, faults generation at a constant rate and an environmental factor to differentiate the operational phase from the testing phase. Another optimization problem under perfect debugging conditions, i.e. without error generation is constructed for comparison. These optimization models are solved in MATLAB, and their solutions provide insights to the degree of impact of imperfect debugging on the optimal policies with respect to software release time and warranty time.

A real-life fault data set of Radar System is used to study the impact of various cost factors via sensitivity analysis on release and warranty policy. If firms tend to provide warranty for a longer period of time, then they may have to bear losses due to increased debugging cost with more number of failures occurring during the warrantied time but if the warranty is not provided for sufficient time it may not act as sufficient hedge during field failures.

Every firm is fighting to remain in the competition and expand market share by offering the latest technology-based products, using innovative marketing strategies. Warranty is one such strategic tool to promote the product among masses and develop a sense of quality in the user’s mind. In this paper, the failures encountered during development and after software release are considered to model the failure process.

In this article we present an application of Gumbel's bivariate exponential distribution model in the context of estimating warranty costs of motor cycles under a new warranty policy. The problem in question is as follows: Under the present two‐dimensional warranty policy, repair costs (termed as warranty costs) of a motorcycle during the age of first six months or within the usage of 8,000 kilometers are borne by the company. To enhance customer satisfaction, the company wanted to bear the repair costs up to an age of one year or a usage of 12,000 kilometers. The problem is to estimate the expected hike in warranty costs if the warranty policy were revised as mentioned above. Using the past data, the problem is solved by studying the underlying renewal process. Gumbel's bivariate exponential distribution function is found to be useful in approximating the renewal function. Some practical difficulties posed by the past data in the analysis are highlighted and tackled in an interesting way.