Robust assembly line balancing with heterogeneous workers. Moreira, M. C. O., Cordeau, J., Costa, A. M., & Laporte, G. Computers & Industrial Engineering, 88:254–263, 2015. ![Robust assembly line balancing with heterogeneous workers [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Assembly lines are manufacturing systems in which a product is assembled progressively in workstations by different workers or machines, each executing a subset of the needed assembly operations (or tasks). We consider the case in which task execution times are worker-dependent and uncertain, being expressed as intervals of possible values. Our goal is to find an assignment of tasks and workers to a minimal number of stations such that the resulting productivity level respects a desired robust measure. We propose two mixed-integer programming formulations for this problem and explain how these formulations can be adapted to handle the special case in which one must integrate a particular set of workers in the assembly line. We also present a fast construction heuristic that yields high quality solutions in just a fraction of the time needed to solve the problem to optimality. Computational results show the benefits of solving the robust optimization problem instead of its deterministic counterpart.
@article{moreira15robust,
title = {Robust assembly line balancing with heterogeneous workers},
volume = {88},
copyright = {All rights reserved},
issn = {0360-8352},
url = {https://www.sciencedirect.com/science/article/pii/S0360835215003058},
doi = {10.1016/j.cie.2015.07.004},
abstract = {Assembly lines are manufacturing systems in which a product is assembled progressively in workstations by different workers or machines, each executing a subset of the needed assembly operations (or tasks). We consider the case in which task execution times are worker-dependent and uncertain, being expressed as intervals of possible values. Our goal is to find an assignment of tasks and workers to a minimal number of stations such that the resulting productivity level respects a desired robust measure. We propose two mixed-integer programming formulations for this problem and explain how these formulations can be adapted to handle the special case in which one must integrate a particular set of workers in the assembly line. We also present a fast construction heuristic that yields high quality solutions in just a fraction of the time needed to solve the problem to optimality. Computational results show the benefits of solving the robust optimization problem instead of its deterministic counterpart.},
language = {en},
urldate = {2021-05-10},
journal = {Computers \& Industrial Engineering},
author = {Moreira, M. C. O. and Cordeau, J.-F. and Costa, A. M. and Laporte, G.},
year = {2015},
pages = {254--263},
file = {Moreira et al. - 2015 - Robust assembly line balancing with heterogeneous .pdf:/Users/alysson/Zotero/storage/T4YWK4ZN/Moreira et al. - 2015 - Robust assembly line balancing with heterogeneous .pdf:application/pdf},
}
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