Please use this identifier to cite or link to this item: http://localhost:8081/xmlui/handle/123456789/3424
Title: DEVELOPING A MODEL OF OFF-LINE QUALITY CONTROL USING TAGUCHI METHODS
Authors: Nath, Thuleswar
Keywords: MECHANICAL & INDUSTRIAL ENGINEERING;QUALITY CONTROL;OFF LINE;TAGUCHI METHODS
Issue Date: 1992
Abstract: In a developed economy, market for any product is generally highly competitive. To be successful in such a condition producer has to provide output which has distinctive advantages over others. For example innovative design and ideas extremely good quality related to aesthetics and functional aspects etc. Quality is a good tool for competition, it is necessary for customer's satisfaction and also for meeting societal obligations. To fulfil all these quality have to be built-in in the product through systems approach and that is the main concept of total quality control'. For achieving quality we have to start right from the inception stage of the product and continue till product is giving service. In past .lot of consideration was given for controlling quality at manufacturing process stage and checking in-coming and out-going materials in the form of inspections. The new approach which is emerging is based on zero defect system, quality control circles and off-line quality control. Out of these Taguchi's method of off-line quality control is most comprehensive and effective system. it gives a design of product which will require very less on-line control. Taguchi's approach has both philosophical and mathematical contents. The methodologies developed to implement his ideas are known as Taguchi methods. (iv) In this work, as a first step towards practical application of the methods, software programs are developed for basic statistical tools like Design of Experiment and ANNOVA. Instead of physical system, experiments are carried out on a simulation model. In the present work, design of experiment simulation model and ANNOVA are combined in a single program... It is expected to help for further simulation study with improved model and actual experimenta-tion for industrial use
URI: http://hdl.handle.net/123456789/3424
Other Identifiers: M.Tech
Research Supervisor/ Guide: Goel, P. S.
metadata.dc.type: M.Tech Dessertation
Appears in Collections:MASTERS' THESES (MIED)

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