FERNANDES, N.O.; DEHGHANIMOHAMMADABADI, M.; SILVA, S. C.(2018) Iterative optimization-based simulation: a decision support tool for Job release. In: ROCHA, A.; ADELI, H.; REIS, L.; COSTANZO, S. (eds) -Trends and advances in information systems and technologies. WorldCIST'18 2018. Advances in Intelligent Systems and Computing. Cham: Springer. ISBN 978-3-319-77712-2. Vol.746, p. 1-7
978-3-319-77712-2
10.1007/978-3-319-77712-2_66
Title
Iterative optimization-based simulation: a decision support tool for job release
Subject
Decision support system Load-based job release Simulation-optimization
“This is a post-peer-review, pre-copyedit version of an article published in Advances in Intelligent Systems and Computing. The final authenticated version is available online at: 10.1007/978-3-319-77712-2_66 " Job release is an essential scheduling function and a core part of every production planning and control system. Essentially, job release has to do with the timing and the jobs to release on to the shop floor, in such way that, a balanced and restricted workload is achieved. In this paper, an Iterative Optimization-based
Simulation (IOS) decision support tool is proposed for job release. This is in line with Industry 4.0 paradigm, allowing the autonomous selection of jobs based on the current shop floor situation. This decision support tool is implemented using SIMIO as a simulation manager, MATLAB as an optimization manager and
MySQL as a database manager. info:eu-repo/semantics/publishedVersion
