Multi-population genetic algorithm to solve the synchronized and integrated two-level lot sizing and scheduling problem-Reference-Cited by-同舟云学术

Multi-population genetic algorithm to solve the synchronized and integrated two-level lot sizing and scheduling problem

Published:2009-04-09 Issue:11 Volume:47 Page:3097-3119
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Toledo C.F.M.¹,França P.M.²,Morabito R.³,Kimms A.⁴

Affiliation:

1. a Departamento de Ciência da Computação , Universidade Federal de Lavras , C.P. 3037, 37200-000, Lavras, MG, Brazil

2. b Departamento de Matemática, Estatística e Computação , Universidade Estadual Paulista, Faculdade de Ciências e Tecnologia , Rua Roberto Simonsen, 305 19060-900, Presidente Prudente, SP, Brazil

3. c Departamento de Engenharia de Produção , Universidade Federal de São Carlos , C.P. 676, 13565-905, São Carlos, SP, Brazil

4. d Department of Technology and Operations Management , University of Duisburg-Essen , 47048 Duisburg, Germany

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207540701675833

Reference31 articles.

1. METAHEURISTIC APPROACHES FOR THE MULTILEVEL RESOURCE-CONSTRAINED LOT-SIZING PROBLEM WITH SETUP AND LEAD TIMES

2. Approximation Formulations for the Single-Product Capacitated Lot Size Problem

3. Hybrid heuristics for planning lot setups and sizes

4. Rolling-horizon lot-sizing when set-up times are sequence-dependent

5. A genetic algorithm to solve the general multi-level lot-sizing problem with time-varying costs

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