Optimization of sewing line production rate and cost using Taguchi signal-to-noise method
Keywords:Sewing line, Production, Optimization, Taguchi Signal-to-Noise method, RMG
The ready-made garments (RMG) sector of Bangladesh is the biggest export-oriented industry in terms of growth and foreign exchange earnings. Despite having much success story this sector got number of formidable challenges - less production per hour and high monthly cost are two of them. Here, profit margin of an industry is heavily involved with these issues. In that respect, this research work presents an optimization model to improve number of productions per hour and lower the monthly cost of a sewing line. The Taguchi signal-to-noise method was adopted to maximize the number of productions per hour and to minimize the monthly cost. To perform this work, six variables with two-level designs were developed by using general full factorial design. The used software is MINITAB 17. Optimized results indicate that the optimal process parameter of sewing line production increased from 197 to 210 pcs per hour and the monthly cost reduced by more than 10% for the studied sewing line. The main factors those affected the hourly production and cost in a sewing line were also identified. Expectedly, application of this strategy in general to garment industries can improve the productivity – saving time and increasing profit.
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