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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.

This article deals with the problem of cost estimation for increased warranty time of a multi‐module product. The warranty policy of interest is two‐dimensional involving warranty limits on both age and usage of the product. Failure of the product is caused due to malfunctioning of its module(s). Warranty service is rendered through repair or replacement of the respective module(s). From the past data, it is observed that age and usage are highly correlated. Based on life (age) data, the joint life distribution of the modules is well described by multivariate exponential distribution of Marshall and Olkin. The same is utilized to estimate cost for desired warranty times by the method of simulation.

Considers the estimation problem of the total warranty cost under two types of warranty. The product (e.g. car) is sold under two types of warranty (mileage and age). The failed product will be minimally repaired by the manufacturer during the preassigned warranty, the length of which is determined by mileage or age, whichever occurs first. Under general distributions, obtains the formula of the expected value and variance of total warranty cost. Analyses special cases of the failure and running behaviours. Includes a numerical example.

The product warranty has become an increasingly important factor contributing to the consumer's assessment of overall product value in recent years and, in consequence, can nowadays have a significant effect on demand levels for a particular product make or brand. The warranty is in effect an “added value” component by which the manufacturer commits himself to a given level of responsibility (usually over a specific time period) for the performance of the product he sells.

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.

Warranty service plays a critical role in sustainability and service continuity and influences customer satisfaction. Considering the role of social networks in customer feedback channels, one of the essential sources to examine the reflection of a product/service is social media mining. This paper aims to identify the frequent product failures through social network mining. Focusing on social media data as a comprehensive and online source to detect warranty issues reveals opportunities for improvement, such as user problems and necessities. This model will detect the causes of defects and prioritize improving components in a product-service system based on FMEA results.

Ontology-based methods, text mining and sentiment analysis with machine learning methods are performed on social media data to investigate product defects, symptoms and the relationship between warranty plans and customer behaviour. Also, the authors have incorporated multi-source data collection to cover all the possibilities. Then the authors promote a decision support system to help the decision-makers using the FMEA process have a more comprehensive insight through customer feedback. Finally, to validate the accuracy and reliability of the results, the authors used the operational data of a LENOVO laptop from a warranty service centre and classifier performance metrics to compare the authors’ results.

This study confirms the validity of social media data in detecting customer sentiments and discovering the most defective components and failures of the products/services. In other words, the informative threads are derived through a data preparation process and then are based on analyzing the different features of a failure (issues, symptoms, causes, components, solutions). Using social media data helps gain more accurate online information due to the limitation of warranty periods. In other words, using social media data broadens the scope of data gathering and lets in all feedback from different sources to recognize improvement opportunities.

This work contributes a DSS model using multi-channel social media mining through supervised machine learning for warranty-service improvement based on defect-related discovery to unravel the potential aspects of social networks analysis to predict the most vulnerable components of a product and the main causes of failures that lead to the inputs for the FMEA process and then, a cost optimization. The authors have used social media channels like Twitter, Facebook, Reddit, LENOVO Forums, GitHub, Quora and XDA-Developers to gather data about the LENOVO laptop failures as a case study.

The relative importance of country of origin, product warranty, and retail store image on consumers′ product quality perception, overall attitude toward the product, and purchase intentions is investigated. A 2x2x2 full factorial design with two levels (high and low) of country of origin, warranty and retail store image is utilised. ANOVA results show that country of origin and warranty cues have significant impacts on the three dependent measures. The interaction effects of all three independent variables are significant for the quality perception and overall attitude towards the product but are not significant for the purchase intentions. In addition excellent warranty terms combined with store reputation has a greater impact on the dependent variables than the country‐of‐origin cue. Managerial implications of the research findings are discussed.

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.

Provides a chronological account of the evolution of the concept of product warranty and its development over the four millennia to its present state at the dawn of twenty‐first century. This study examines how the concept of product warranty originated and illustrates how this concept was an integral element of accepted business practices in commerce and trade over the ages in almost all civilizations spanning the globe. The civilizations include the Babylonian and Assyrian civilizations twenty‐first century bc, the Roman era of the fifth century bc, Bavarian rule at the start of the Christian era, earlier Jewish period of the second century ad, Hindu period of the fifth, Islamic era of the eighth, Russian period of the early tenth, church rule of the medieval times, customs of the English boroughs, and ultimately the post‐industrial era of consumerism and today’s times of warranty legislation.

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.