Madan M. Jagtap and S.N. Teli/ Elixir Mech. Engg. 75 (2014) 27477-27479 27477 Introduction To improve profit margin, it is require estimating warranty of a product. Warranty itself explain secure life of a product, simultaneously it carries cost which make product price. Decision related to warranty varies from manufacturer to manufacturer though functional availability of product materially exist identical behavior. Any industry decides warranty of their product based on available data. An industry has strategy to analyze product performance in market. Every manufacturer develops own database, which is assisted by dealers and suppliers related with industry. Dealer collects warranty related data i.e. defect occurred, direct from customer and compare it with Standard data available with them. Dealer stores data in computer system and they share it with vehicle manufacturer using network. Manufacturer decide whether to go for replacement of product by new one or repair is sufficient. Problem started with data storage and capture as this data varies from dealer to dealer. It creates dilemma in customers as every dealer has its own point of view, this particular situation results in bad impression of industry in Business. To avoid this kind of situation manufacturer can standardize warranty data acquisition and warranty data flow. Warranty analysis Different reserchers find methodologies to analys warranty. Kazuyuki Suzuki [1], explained that when date specific data is not available for the situation total sale quantity can be calculated From other sources, for non-repairable warranty a non- parametric maximum likelihood estimator of claim frequency based on a multinomial model. These estimators are mathematical and effective in repairable case. Stefanka Chukova[2], proposed warranty cost analysis model based on non renewing warranty with repair time, this research work contribute to allow non-zero repair time and associate a cost with it, also it explains about time in resolving warranty claim is an important component in product warranties as it is part of warranted time and it may be connected with very costly penalties. Hongzhou Wang[3], suggested four models for warranty cost analysis to be realistic, relationship of preventive maintenance and corrective maintenance with warranty policies and developed models imperfect repair, quasi-renewable processes are effective tool and based on purely failure rates can be used for model design, all these models explains i) Warranty cost estimation before selling ii)Warranty cost for projected demand iii) Additional warranty cost for extended warranties iv) Design for warranty v) Win-Win situation for customer and supplier Ruey Huei Yeh[4], proposed K-product inspection scheme for a deteriorating production system when all the products are sold with free minimal repair warranty, this method helpful to determine optimal lot size and number of products so that there should be reduction in expected total cost per unit time. Shaomin Wu[5], analyzed warranty cost for products with a dormant state, building products before commissioning undergo aging deterioration and other causes, manufacturer and contractor find corrective maintenance and preventive maintenance suitable for building products under warranty. Maintenance cost are considered in warranty. Zhefang Zhou [6], modeled dynamic nature of pricing and warranty policies, according to author, dynamic nature of warranty helps manufacturer to improve his profit. Continuous dynamic programming used to model changing price and warranty policies. Basically this research makes manufacturer ready solution for managerial decisions in case of high-tech products with heterogeneous nature of customer, also it personalized risk attitude of customer to provide with particular warranties, lastly competing world can use this methodology to optimize their strategies regarding warranty policies. Chung-Ho Chen [7], investigated existing model of Pulak and Al-Sultan’s (1996) and Ladany and Shore’s (2007) modified model with quality loss and inspection error. Warranty period and expected life of product simultaneously calculated. It shown that expected profit depends on processing, demand and selling price. Hong-zhong Huang [8], suggested that diagnostic features can be used to reduce warranty cost. A diagnostic design decision model can help in to predict and rectify more common faults therefore it reduces number of times servicing needed for Warranty analysis - A review Madan M. Jagtap and S.N. Teli Department of Mechanical Engineering, Saraswati College of Engineering, Kharghar, Navi Mumbai, India. ABSTRACT This paper is a review on Warranty analysis, it basically explain about how warranty cost is important to handle carefully by all element of organization. Warranty cost needs uniformity to analyze throughout its user. Warranty cost analysis is challenging procedure as data become complicated when it consider different real life situations. Warranty claims are also part of effective warranty analysis. Different models explained by researches discussed to understand warranty analysis aspect. It studied different model for warranty analysis. © 2014 Elixir All rights reserved ARTICLE INFO Article history: Received: 30 August 2014; Received in revised form: 20 September 2014; Accepted: 29 September 2014; Keywords Warranty data, Manufacture, Dealer, Warranty Analysis, Reliability. Elixir Mech. Engg. 75 (2014) 27477-27479 Mechanical Engineering Available online at www.elixirpublishers.com (Elixir International Journal) Tele: E-mail addresses: jagtap.aero@gmail.com © 2014 Elixir All rights reserved