A multiobjective model and evolutionary algorithms for robust time and space assembly line balancing under uncertain demand-Reference-Cited by-同舟云学术

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A multiobjective model and evolutionary algorithms for robust time and space assembly line balancing under uncertain demand

Published:2016-01 Issue: Volume:58 Page:55-68
ISSN:0305-0483
Container-title:Omega
language:en
Short-container-title:Omega

Author:

Chica Manuel^ORCID,Bautista Joaquín,Cordón Óscar^ORCID,Damas Sergio

Funder

Principality of Asturias

Spanish Ministerio de Economía y Competitividad

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Strategy and Management

Reference40 articles.

1. A taxonomy of line balancing problems and their solution approaches;Battaïa;International Journal of Production Economics,2013

2. Modeling and solving the mixed-model sequencing problem to improve productivity;Bautista;International Journal of Production Economics,2015

3. Bautista J, Batalla C, Alfaro R. Incorporating ergonomics factors into the TSALBP. In: Advances in production management systems. Competitive manufacturing for innovative products and services. Rhodes, Greece: Springer, vol. 397; 2013. p. 413–20.

4. Models for MMSP-W considering workstation dependencies;Bautista;European Journal of Operational Research,2012

5. Ant algorithms for a time and space constrained assembly line balancing problem;Bautista;European Journal of Operational Research,2007

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