Are QMS Suitable for labour intensive industry like Textile and Apparel ?
The answer is abundantly yes. Operations heads in apparel industry often express their inability to standardize the processes due to product variability, unpredictable market (fashion) trends etc. One of the leading aerospace industry implementing TQM is an excellent example to refute these claims1. The company sources components from vendors located across the globe. It is subjected to far more market risk compared to apparel industry, including design changes, interest rates, exchange rates, and commodity prices. The company meets its delivery schedule where the cost of delay is catastrophic. Interestingly it is not the process or product limitation but psychological factors that cause the reluctance among garment professionals in implementing TQM. History of QMS In the early days quality was restricted to inspection. In the 1920s statistical theory began to be applied effectively to quality control. Work of Shewhart, Deming, Juran, Dodge and Romig lead the foundation of statistical
The answer is abundantly yes. Operations heads in apparel industry often express their inability to standardize the processes due to product variability, unpredictable market (fashion) trends etc. One of the leading aerospace industry implementing TQM is an excellent example to refute these claims1. The company sources components from vendors located across the globe. It is subjected to far more market risk compared to apparel industry, including design changes, interest rates, exchange rates, and commodity prices. The company meets its delivery schedule where the cost of delay is catastrophic. Interestingly it is not the process or product limitation but psychological factors that cause the reluctance among garment professionals in implementing TQM. History of QMS In the early days quality was restricted to inspection. In the 1920s statistical theory began to be applied effectively to quality control. Work of Shewhart, Deming, Juran, Dodge and Romig lead the foundation of statistical