A methodology for design for warranty with focus on reliability and warranty policies

Ambad, Prashant M.; Kulkarni, Makarand S.

doi:10.1108/09727981311327811

Cited by 10 publications

(5 citation statements)

References 52 publications

(56 reference statements)

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“…To set the optimal reliability, price, warranty length, and warranty service quality, Wang and Liu [30] reconstructed the product demand function by analyzing the effect of warranty service quality on customer satisfaction and repeated purchase and further introduced a modified cost function and warranty decision model. Ambad and Kulkarni [31] presented an objective optimization function weighted by the mean time between failures (MTBF) and warranty cost to increase product reliability and minimize warranty costs. The authors developed a solution based on the genetic algorithm and analyzed the relationship among MTBF, reliability, and warranty costs.…”

Section: B Reliability-based Warranty Modelingmentioning

confidence: 99%

Sub-Region Warranty Differential Pricing Optimization Strategy Based on Regional Granularity of Use Reliability

Jie

Liu

et al. 2020

IEEE Access

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Despite the various advantages of existing warranty designs, these designs are still limited to inherent reliability and ignore the interaction between use reliability and regional difference. A new sub-region warranty differential pricing strategy based on the regional granularity of use reliability is proposed to solve these issues. A use reliability prediction model based on regional granularity partition results and after-sales failure data is established to evaluate product use reliability accurately in different sub-regions. Then, a novel high-dimensional optimization model that considers the regional difference in use reliability, warranty, and price is developed to optimize the regional warranty differential pricing strategy. Two scenarios for pricing and warranty, namely, unified and partition warranty schemes, are considered, and the necessary optimality conditions for each scenario are determined. Afterward, a practical case study is conducted in the air-conditioning industry to verify the performance of the proposed model. The sensitivity of the model is also analyzed. Numerical experiments show that the sub-region warranty differential pricing strategy allows for a suitable trade-off among use reliability, warranty, and selling price. Moderately reducing the selling price of sub-regions with high use reliability and increasing the selling price of sub-regions with low use reliability can enhance profitability. This work provides manufacturers with guidelines on designing sub-region warranty differential pricing strategies.INDEX TERMS Sub-region warranty, differential pricing, use reliability, high-dimensional optimization model, air-conditioner.

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Section: B Reliability-based Warranty Modelingmentioning

confidence: 99%

Sub-Region Warranty Differential Pricing Optimization Strategy Based on Regional Granularity of Use Reliability

Jie

Liu

et al. 2020

IEEE Access

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“…Shahanaghi et al (2013) [26] demonstrated a mathematical optimization model to achieve the optimal number and level of imperfect PM actions in which the occurrence of failures depends on both the age and usage of the product. Ambad and Kulkarni (2013) [27] used a Genetic Algorithm to minimize the warranty cost with a specific focus on warranty policies and reliability. Su and Wang (2016) [28] considered an availability-based warranty policy with an imperfect PM to optimize the PM schedule cycle by cycle.…”

Section: Introductionmentioning

confidence: 99%

Bi-objective optimization of non-periodic preventive maintenance strategy by considering time value of money

et al. 2019

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Recently, design of preventive maintenance (PM) policies during the warranty period has attracted the attention of researchers. The methods mainly design warranty servicing strategies in a way that reduce the cost imposed on the manufacturer without considering the impact of customer dissatisfaction. While dissatisfaction with a product is an important issue which may result in the loss of potential buyers and switching existing buyers to competitors.Therefore, this study develops a bi-objective model which simultaneously minimizes the manufacturer and the buyer cost under a Non-homogeneous Poisson Process framework. Also, a non-periodic preventive maintenance strategy is presented in which PM actions are performed at discrete time instants in a way that the expected number of failures remains a constant value over all PM intervals. Furthermore, it is a known fact that the value of money reduces over time due to different reasons and has a significant impact on long-term contracts. Since PMs and repairs are conducted at different times, the time value of money is considered to estimate the cost more accurately. A comparative study is conducted to support this claim that the presented nonperiodic reliability-based PM policy has a better performance in comparison with a periodic PM policy.

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“…Therefore, this study has emphasized on the quality of software. Software quality cannot be concentrated into one single parameter and hence is project-specific, for example, it can be a possibility that for some projects (software) reliability requirement is more important as compare to the maintainability or vice and versa (Bhanot et al , 2016; Vinayak and Kodali, 2014; Mandal and Ghosh Dastidar, 2014; Ambad and Kulkarni, 2013; Anand et al , 2011). Here, in this paper our objective is to examine the influential behaviour of various attributes when they are considered together.…”

Section: Introductionmentioning

confidence: 99%

Interpretive structural modelling for attributes of software quality

Anand

Bansal

2017

JAMR

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Purpose The “quality” of any product or service defines the agility of the product and its life cycle in dynamic environment. The demand of high “quality” becomes an imperative concern, when “software” is acting as a product or a service. Since the nature of the software is intangible and more complex, therefore the assurance of providing accurate results is anxiety for companies. The overall quality of the software is based upon many individual factors (or attributes) that makes software reliable, inclined and a long-lasting product in the marketplace. But how these factors can influence each other is significant to identify. Therefore, the purpose of this paper is to study the quality aspect of the software and analyse the interrelationship of impactful attributes. Design/methodology/approach The analysis has been done through responses sought from software development teams/clients in India. The questionnaire related to the software quality was administered to the sample population. Interconnection among impactful characteristics has been analysed by using a qualitative technique called interpretive structural modelling (ISM). The driving and dependency of the attributes under consideration has been classified using cross-impact matrix multiplication applied to classification (MICMAC) analysis. The procedure of applying ISM method has been automated and provided it as package “ISM” using R software. Findings In general, it is very complex job to determine the most impactful attribute of software quality. By applying ISM and MICMAC analysis on the set of attributes under consideration, it has been found that “reliability” along with “usability” and “performance” is the most influential attribute of software quality and preferred most. Research limitations/implications Though ISM provides an organized modelling framework yet its results are considered less statistically significant. Therefore, it would be interesting to concatenate the present findings with the findings of any analytical methodology; which gives statistically significant results. Practical implications The present proposal deals with the interpretation of the software quality attributes and their contextual relationship but with more effective and efficient manner. It can help management to understand the complexity of relationship amongst attributes (which are quality attributes here) more accurately and precisely. Since today is an era of automation, the manual part is being substituted so as to reduce the labour cost, improve safety, security and product quality to increase production. This study is, therefore, an effort and a helping hand in making the hassle free calculations for obtaining intermediate matrices and doing eventual calculations. Social implications n numbers of parameters can be selected to analyse the interrelationship of any project/study. Eradication human errors in applying transitivity law or applying any other operation in solving problem. The package created here can save precious time of users. Provides well-formatted and readable excel output files that make interpretation easier. Originality/value Software is one such product/service which plays a significant role in this high-technological world, where each and every firm try their best to be on the top of the list of consumers’ preference. For this purpose, companies reduce manual efforts by converting it into qualitative software that provides deliverables in a systematic manner. Therefore, it becomes imperative to study various interrelated quality attributes of the software. On the similar platform, ISM is a widely used technique and just to provide a helping hand in quantification of the qualitative attributes this paper facilitates the readers with algorithm developed using R software.

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A methodology for design for warranty with focus on reliability and warranty policies

Cited by 10 publications

References 52 publications

Sub-Region Warranty Differential Pricing Optimization Strategy Based on Regional Granularity of Use Reliability

Sub-Region Warranty Differential Pricing Optimization Strategy Based on Regional Granularity of Use Reliability

Bi-objective optimization of non-periodic preventive maintenance strategy by considering time value of money

Interpretive structural modelling for attributes of software quality

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