ROLE OF QUALITY CIRCLE IN FOOTWEAR INDUSTRY
Journal: International Journal of Research in Aeronautical and Mechanical Engineering (Vol.7, No. 5)Publication Date: 2019-05-31
Authors : ASHA KUMARI; SIMPLE AGARWAL;
Page : 10-41
Keywords : ;
Abstract
In modern scenario, each and every industry works for introducing the term Quality in their respective products and services provided by them. According to variability of customer demands and desires, the industry needs to implement positive changes in production and manufacturing operations. Each industry needs to modify their services and products as the customer provisions because a customer friendly industry can grow at a much better rate instead of a profit based or production based industry. Footwear industry is basically a combination of production based and profit based industry. In present era, footwear industry is developing slowly but steadily as they are adopting SQC techniques & tools like 5-S, Quality Circle, Kaizen Approach, Brainstorming, QFD, Ishikawa fishbone diagram, Pareto diagram etc. The Quality Circle Conception is one of the finest techniques for introduction of quality in each & every department of an industry. QCC helps to interrelate each and every department of an industry so that by collective suggestions and ideas from various sources can be used to enhance the quality in respective products and services offered by any industry. For successful enhancement in the quality of any article, a better inspection approach helps more conveniently than any other technique. Some of the inspection approaches used in any industry are alike Sampling Inspection, Acceptance Inspection, 100% Inspection etc.
Other Latest Articles
- Design and Fabrication of Car Wheel Multi Nut Remover
- COMPARATIVE EVALUATION OF VISUAL AND COLORIMETRIC METHODS OF TEETH COLOR DETERMINATION
- ANALYSIS AND EXPERIMENTAL VALIDATION OF COMPOSITE LAP JOINT WITH CRACK FOR AEROSPACE APPLICATIONS
- MULTIPLE HUMAN TRACKING USING RETINANET FEATURES, SIAMESE NEURAL NETWORK, AND HUNGARIAN ALGORITHM
- MULTIPLE HUMAN TRACKING USING RETINANET FEATURES, SIAMESE NEURAL NETWORK, AND HUNGARIAN ALGORITHM
Last modified: 2019-05-29 00:08:22