2012
DOI: 10.1016/j.eswa.2012.02.055
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Assembly line balancing in garment industry

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Cited by 51 publications
(28 citation statements)
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“…As shown, 65 trouser assembly line tasks were assigned in 39 workstations with total workstations time of 41.763 minutes and total idle time of 33.117 minutes. The idle time for workstations number 5,6,8,10,19,21,24,26,27,28,29,33,34,36,37,38, and 39 remained very high because of the restrictions on the resource (machine type and helpers) and the precedence relations. The precedence diagram illustrating the relations between 65 tasks in 39 workstations was presented as shown in Figure 5.…”
Section: Ranked Positional Weight Line Balancing For Scenariomentioning
confidence: 99%
See 1 more Smart Citation
“…As shown, 65 trouser assembly line tasks were assigned in 39 workstations with total workstations time of 41.763 minutes and total idle time of 33.117 minutes. The idle time for workstations number 5,6,8,10,19,21,24,26,27,28,29,33,34,36,37,38, and 39 remained very high because of the restrictions on the resource (machine type and helpers) and the precedence relations. The precedence diagram illustrating the relations between 65 tasks in 39 workstations was presented as shown in Figure 5.…”
Section: Ranked Positional Weight Line Balancing For Scenariomentioning
confidence: 99%
“…This is because heuristic technique provides a simple and better way to plan the sewing lines within a reasonable time than other line balancing techniques. 25,26 Despite it being an old line balancing technique, very few garment manufacturing industries have comprehended heuristic method due to inadequacy of information and literature on its practical applications. 23 In this study, deterministic task time has been assumed in garment assembly line balancing with the simplest heuristic technique known as ranked positional weight.…”
mentioning
confidence: 99%
“…The problem dealt with here is a Mixed-model ALBP (MALBP), with extra complexities. Scholl & Becker (2006), Tasan & Tunali (2008), Chen et al (2012) refer to this type of problems and illustrate various objectives such as, minimising the number of workstations, reducing the cycle time, maximising the line efficiency and finding a feasible solution.…”
Section: Introductionmentioning
confidence: 99%
“…At the end of the application of bee algorithm, they were able to minimize the number of work stations and the given cycle time. Chen, et al [16] applied assembly line balancing in garment industry. A group genetic algorithm (GGA) was developed for assembly line balancing problem of sewing lines with different labour skill levels.…”
Section: Introductionmentioning
confidence: 99%