Simulated Annealing for Production Scheduling: A Case Study

António Marques, Nelson Chibeles Martins, Tânia Pinto-Varela

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In this work, a production scheduling problem is developed through a Simulated Annealing approach, with the Tardiness minimization as objective function. The algorithm is applied to a plastic container facility, which operates an injection molding process with several parallel machines. The algorithm applicability and its performance is illustrated through two production strategies, the make-to-order (MTO) and make-to-stock (MTS). In the latter inventory management is taken into account.
Original languageEnglish
Title of host publicationOperations Research and Big Data
Subtitle of host publicationIO2015-XVII Congress of Portuguese Association of Operational Research (APDIO)
EditorsAna Paula Barbosa Póvoa, João Miranda
PublisherSpringer International Publishing
Pages107-114
Number of pages8
Volume15
ISBN (Electronic)978-3-319-24154-8
ISBN (Print)978-3-319-24152-4
DOIs
Publication statusPublished - 8 Oct 2015

Publication series

NameStudies in Big Data
PublisherSpringer International Publishing
Volume15
ISSN (Print)2197-6503

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  • Cite this

    Marques, A., Chibeles Martins, N., & Pinto-Varela, T. (2015). Simulated Annealing for Production Scheduling: A Case Study. In A. P. Barbosa Póvoa, & J. Miranda (Eds.), Operations Research and Big Data: IO2015-XVII Congress of Portuguese Association of Operational Research (APDIO) (Vol. 15, pp. 107-114). (Studies in Big Data; Vol. 15). Springer International Publishing. https://doi.org/10.1007/978-3-319-24154-8_13