Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/104280
Type: Artigo de evento
Title: Evolutionary Approaches To Solve An Integrated Lot Scheduling Problem In The Soft Drink Industry
Author: Toledo C.F.M.
Franca P.M.
Morabito R.
Kimms A.
Abstract: This paper proposes two evolutionary approaches as procedures to solve the Synchronized and Integrated Two-Level Lot-Sizing and Scheduling Problem (SITLSP). This problem can be found in some industrial settings, mainly soft drink companies, where the production process involves two interdependent levels with decisions concerning raw material storage and soft drink bottling. The first approach to solve the SITLSP is a Multi-Population Genetic Algorithm (GA) with a hierarchical ternary tree structure for populations. The second approach is a Memetic Algorithm (MA) that extends the GA approach through the inclusion of a local search procedure. The computational study reported reveals that those methods are an effective alternative to solve real-world instances of the SITLSP. © 2007 IEEE.
Editor: 
Rights: fechado
Identifier DOI: 10.1109/ICHIS.2007.4344034
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-47149087350&partnerID=40&md5=5b59605e0f62c53c6f25337e30c6ec1c
Date Issue: 2007
Appears in Collections:Unicamp - Artigos e Outros Documentos

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