Integrated Decision Making in Flow Line Balancing

Olga Battaïa 1, 2 Xavier Delorme 3 Alexandre Dolgui 3 Frédéric Grimaud 1, 2
3 Laboratoire en Sciences et Technologies de l'Information
LIMOS - Laboratoire d'Informatique, de Modélisation et d'optimisation des Systèmes, DEMO-ENSMSE - Département Décision en Entreprise : Modélisation, Optimisation
Abstract : A flow line consists of a sequence of workstations through which one or more products move one way in order to be processed. Designing such a line represents a long-term decision problem involving different crucial decision stages, often solved iteratively because of their complexity. Line balancing problem is one of them; it mostly deals with assigning the set of indivisible units of work (named tasks or operations) to a sequence of lineally ordered workstations. In this paper, we present a brief overview of flow lines balancing problems recently appeared in the literature, which try to expand the core optimization problem dealing with assigning tasks by solving it jointly with other decision problems, such as process planning, configuration design or detailed line scheduling. In spite of the fact that, previously, the most attention was paid for the balancing problems concerning the assembly systems, the approaches and formulations of flow line balancing in machining environment are analyzed as well.
Type de document :
Communication dans un congrès
N. Bakhtadze, A. Dolgui, V. Lototsky. 7th IFAC Conference on Manufacturing Modelling, Management, and Control, 2013, Jun 2013, St Petersburg, Russia. Elsevier Science, IFACPapersOnline.net, Volume 7 (Part 1), pp. 831-838, 2013, 〈10.3182/20130619-3-RU-3018.00581〉
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https://hal-emse.ccsd.cnrs.fr/emse-00881604
Contributeur : Florent Breuil <>
Soumis le : vendredi 8 novembre 2013 - 15:18:01
Dernière modification le : jeudi 11 janvier 2018 - 06:26:26

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Olga Battaïa, Xavier Delorme, Alexandre Dolgui, Frédéric Grimaud. Integrated Decision Making in Flow Line Balancing. N. Bakhtadze, A. Dolgui, V. Lototsky. 7th IFAC Conference on Manufacturing Modelling, Management, and Control, 2013, Jun 2013, St Petersburg, Russia. Elsevier Science, IFACPapersOnline.net, Volume 7 (Part 1), pp. 831-838, 2013, 〈10.3182/20130619-3-RU-3018.00581〉. 〈emse-00881604〉

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