Citation
Balancing and Sequencing Mixed-Model Assembly Lines to Minimize Work Overload in Real World Workstations. In proceedings of the 6th Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2013), 27 - 30 Aug 2013, Ghent, Belgium, pages 230-239, 2013.
Paper
Abstract
In mixed-model line balancing, we usually have overload after having optimally balanced the line. To further reduce this overload, sequencing of the models may be required. This paper presents two Mixed Integer Linear Program (MILP) models, where one balances the overload and the second sequences models to minimize the overload. Two heuristics are developed to solve some realistic cases. The solutions representation, algorithms and results are systematically described. The efficiency of both models and heuristics are examined by applying them to real world data.
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Bibtex
@INPROCEEDINGS{2013-230-239-P, author = {L. Zeltzer and V. Limère and E-H Aghezzaf },
title = {Balancing and Sequencing Mixed-Model Assembly Lines to Minimize Work Overload in Real World Workstations },
booktitle = {In proceedings of the 6th Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2013), 27 - 30 Aug 2013, Ghent, Belgium},
year = {2013},
editor = {G. Kendall and B. McCollum and G. {Venden Berghe}},
pages = {230--239},
note = {Paper},
abstract = { In mixed-model line balancing, we usually have overload after having optimally balanced the line. To further reduce this overload, sequencing of the models may be required. This paper presents two Mixed Integer Linear Program (MILP) models, where one balances the overload and the second sequences models to minimize the overload. Two heuristics are developed to solve some realistic cases. The solutions representation, algorithms and results are systematically described. The efficiency of both models and heuristics are examined by applying them to real world data. },
owner = {Graham},
timestamp = {2017.01.16},
webpdf = {2013-230-239-P.pdf} }