Technical Library | 2019-05-02 13:47:39.0
Automating electronics assembly is complex because many devices are not manufactured on a scale that justifies the cost of setting up robotic systems, which need frequent readjustments as models change. Moreover, robots are only appropriate for a limited part of assembly because small, intricate devices are particularly difficult for them to assemble. Therefore, assembly line designers must minimize operational and readjustment costs by determining the optimal assignment of tasks and resources for workstations. Several research studies address task assignment issues, most of them dealing with robot costs as fixed amount, ignoring operational costs. In real factories, the cost of human resources is constant, whereas robot costs increase with uptime. Thus, human workload must be as large and robot workload as small as possible for the given number of humans and robots. We propose a new task assignment method that establishes a workload balancing that meet precedence and further constraints.
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