Sequencing mixed-model assembly lines operating with a heterogeneous workforce

Pâmela M.C. Cortez, Alysson M. Costa
<span title="2014-12-10">2014</span> <i title="Informa UK Limited"> <a target="_blank" rel="noopener" href="" style="color: black;">International Journal of Production Research</a> </i> &nbsp;
We study the problem of sequencing mixed-model assembly lines operating with a heterogeneous workforce. The practical motivation for this study comes from the context of managing assembly lines in sheltered work centers for the disabled. We propose a general framework in which task execution times are both worker and model dependent. Within this framework, the problem is defined and mathematical mixed-integer models and heuristic procedures are proposed. These include a set of fast constructive
more &raquo; ... heuristics, two local search procedures based on approximate measures using either a solution upper bound or the solution of a linear program and a GRASP metaheuristic. Computational tests with instances adapted from commonly used literature databases are used to validate the proposed approaches. These tests give insight on the quality of the di↵erent techniques, which prove to be very e cient both in terms of computational e↵ort and solution quality when compared to other strategies such as a random sampling or the solution of the MIP models using a commercial solver.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="">doi:10.1080/00207543.2014.987881</a> <a target="_blank" rel="external noopener" href="">fatcat:bvgxpb5bjvaatcrf4qokcjfc2a</a> </span>
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