Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/85160
Author(s): | Luís Filipe de Jesus Vieira Pereira |
Title: | Optimization and Simulation of Manufacturing Systems |
Issue Date: | 2016-07-13 |
Description: | Production planning and scheduling are critical in matters of cost reduction and performance improvement, crucial factors due to the highly competitive nature of today's industry. The technological development allowed the emergence of hybrid methods of optimization and simulation to perform the referred actions with better results. The proposed method consists in the interaction between a Linear Programming model and a simulation model, being the latter used as an evaluator of the solution proposed by the first. In the case of an impossible solution, the simulation results will serve as input to the LP model to adjust some parameters in an intent to produce more realistic results. The proposed methodology was applied to a case study concerning a make-to-order company, JPM Indústria. The expected results should prove the proposed method to outperform other commonly used methods, and be satisfactory in handling the case study's problems, namely its bottleneck situation. Moreover, the results should support the proposed method as a viable alternative for production planning and scheduling problems. |
Subject: | Engenharia electrotécnica, electrónica e informática Electrical engineering, Electronic engineering, Information engineering |
Scientific areas: | Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática Engineering and technology::Electrical engineering, Electronic engineering, Information engineering |
TID identifier: | 201311305 |
URI: | https://hdl.handle.net/10216/85160 |
Document Type: | Dissertação |
Rights: | openAccess |
License: | https://creativecommons.org/licenses/by-nc/4.0/ |
Appears in Collections: | FEUP - Dissertação |
Files in This Item:
File | Description | Size | Format | |
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139663.pdf | Optimization and Simulation of Manufacturing Systems | 1.64 MB | Adobe PDF | View/Open |
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