| Summary: | 碩士 === 國立清華大學 === 工業工程與工程管理學系 === 103 === Apparel manufacturing is a labor-intensive traditional industry. Under the pressure of internationalization, the competition in this industry is quite drastic. The production process of garments is separated into four main phases: designing/clothing pattern generation, fabric cutting, sewing and ironing/packing. Among these, sewing is the most critical process which needs lots of human and materials resource. The purpose of assembly line balancing problem (ALBP) in sewing lines is to assign tasks to the workstations making the machines of the workstations perform the assigned tasks in order to reduce manpower, increase efficiency and lower the total cost.
This thesis develops a line balancing system for apparel manufacturing industry. Grouping genetic algorithm (GGA) is applied to develop heuristics in the proposed line balancing system. For a given cycle time, tasks are assigned to workstations to minimize the total relevant cost. This research verifies the performance of the proposed line balancing system by collecting data from real apparel manufacturing factory. There is only limited literature in the area of ALBP with cost consideration. The computational results reveal that the line balancing system developed in this thesis is effective in solving cost-oriented assembly line balancing and worker assignment problem (CALBWAP) which has high practical value in apparel industry.
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