A Bi-objective two step Simulated Annealing Algorithm for Production Scheduling

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

3 Citations (Scopus)


Nowadays, we are facing the fourth industrial revolution, which is triggering businesses’ need to increase efficiency and productivity, in real time. To accomplish this challenge, decision systems to support the decision maker in real time and at operational level is necessary. In this work a bi-objective approach using a simulated annealing algorithm in industrial context is addressed, where a make-to-stock production strategy is followed. In the first stage, the total tardiness minimization is reached, followed by the total production flow time minimization. A case study from a multinational moulding industry operating with several parallel machines is used to illustrate the algorithm's applicability.

Original languageEnglish
Title of host publicationComputer Aided Chemical Engineering
PublisherElsevier B.V.
Number of pages6
Publication statusPublished - 1 Oct 2017

Publication series

NameComputer Aided Chemical Engineering
ISSN (Print)1570-7946


  • Manufacture
  • Multi-objective
  • Scheduling
  • Simulated Annealing


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