Please use this identifier to cite or link to this item: http://hdl.handle.net/10400.11/6112
Title: Iterative optimization-based simulation: a decision support tool for job release
Author: Fernandes, N.O.G.
Dehghanimohammadabadi, M.
Silva, S.C.
Keywords: Decision support system
Load-based job release
Simulation-optimization
Issue Date: 2018
Publisher: Springer
Citation: Fernandes N.O., Dehghanimohammadabadi M., Carmo Silva S. (2018) Iterative Optimization-Based Simulation: A Decision Support Tool for Job Release. In: Rocha Á., Adeli H., Reis L., Costanzo S. (eds) Trends and Advances in Information Systems and Technologies. WorldCIST'18 2018. Advances in Intelligent Systems and Computing, vol 746. Springer, Cham
Abstract: 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.
Description: “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 "
Peer review: yes
URI: http://hdl.handle.net/10400.11/6112
DOI: 10.1007/978-3-319-77712-2_66
ISBN: 978-3-319-77712-2
Publisher Version: https://link.springer.com/chapter/10.1007/978-3-319-77712-2_66
Appears in Collections:ESTCB - Livros ou capítulos de livros

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