The major objectives of the study were to analyze and identify the factors affecting the production in the existing work process and to suggest alternatives for optimum productivity with minimum inputs. In view of the objectives, a survey cum practical approach was adopted for the study. Purposive sampling method was used for the selection of the two trouser manufacturing units. Tools used for data collection were structured interview schedule and time study sheet.
The garment industry occupies a vital place in the Indian economy and contributes substantially to its export earnings. The garment industry is labor-dependent wherein labor is required at each stage. Machine automation can be a solution to using fewer labor inputs, but it is inevitable to remove total labor. Labor productivity can be increased by technically channelizing the labor input. Work study is useful when the problems affecting production output need to be studied.
The major objectives of the study were to analyze and identify the factors affecting the production in the existing work process and to suggest alternatives for optimum productivity with minimum inputs. In view of the objectives, a survey cum practical approach was adopted for the study. Purposive sampling method was used for the selection of the two trouser manufacturing units. Tools used for data collection were structured interview schedule and time study sheet.
On analysis of the data and observation, it was found that excess and ineffective time were the two foreign elements that hampered productivity, which need to be reduced strategically. Production targets set on time study data will lead to a proper allocation of resources, thereby resulting in optimum production.
Thus, the study undertaken would be helpful to Production Managers in setting standard output levels for workers, evaluating workers' performance, planning workforce needs, and comparing work methods.
Originally Published in Textile Review, Dec-2010.
Dr. Amita Pandya is a
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