Abstract

The current task involves putting management techniques into place to lower warranty costs and estimate warranties using truncated data sets for claims that are available for passenger car steering movement that is excessive at the time of repair. The idea is that while repairing a device during its warranty period in response to a customer’s claim, keeping track of the number of claims and their frequency aids in identifying the product’s main issues. Seven quality control instruments were provided with Analogously, the Plan-Do-Check-Act cycle steps improve issue solving. A management technique called the Augmented Plan-Do-Check-Act cycle aids in identifying potential reasons for steering movement resistance. The primary reason for the harsh steering movement is the Prevailing Torque Type nut’s wear out, which also affects the valve body’s axial motion and creates friction. Dealers have first-time failure data going back five months, which can be used as a data set for warranty projections. The Monthly In-Service (MIS) of the product is compared with repair per thousand (R/1000), cumulative hazard rate, and cost per unit (CPU) for each manufacturing month. The Reliasoft statistical analyser’s Synthesis 9 software was used to analyse the data set and forecast the warranty. The data was organized by the month of manufacturing and the month of the dealer’s first claim. Additionally, synthesis 9 makes it easy to analyse the product’s reliability; Weibull distribution forecasts warranty returns for the following six months, which indirectly indicates warranty cost, which must be applied at the time of product sale. It also helps to maintain minimum variance during analysis. It was determined that in order to reduce warranty costs, the Plan-Do-Check-Act cycle should be implemented as a management technique during the product development phase. In terms of warranty cost analysis, or forecasting, the Weibull distribution is a statistical tool that helps to improve product warranties by assessing future warranty claims and their likely costs during the development stage.

Keywords: Warranty; Forecasting; CPU; P-D-C-A; Reliability