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Sustainable operator assignment in an assembly line using genetic algorithm
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AI
DOI：10.1080/00207543.2011.636764.png)
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摘要
En 中文
This paper addresses the operator assignment in predefined workstations of an assembly line to get a sustainable result of fitness function of cycle time, total idle time and output where genetic algorithm is used as a solving tool. A proper operator assignment is important to get a sustainable balanced line. To improve the efficiency and meet the desired target output within the time limit, a balanced assembly line is a must. Real world lines consist of a large number of tasks and it is very time consuming and crucial to choose the most suitable operator for a particular workstation. In addition, it is very important to assign the suitable operator at the right place as his skill of operating machines finally reflects in productivity or in the cost of production. To verify better assignments of workers, a genetic algorithm is adopted here. A heuristic is proposed to find out the sustainable assignment of operators in the predefined workstations.
Keyword:
operator assignment
line balancing
assembly line
genetic algorithm
期刊
IF:
7.3
论文数:
1.1W
被引数:
3.7W
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