Use of discrete events computer simulation and optimization for production scheduling in a company of the plastics industry
DOI:
https://doi.org/10.14488/1676-1901.v22i1.4597Keywords:
Optimization, Computer simulation, Discrete events, Production schedulingAbstract
With globalization and increasing market competitiveness, companies need to keep constantly innovating and improving the process’ efficiency. The problem that this work seeks to solve is the high cost generated by the programming inefficiency. Thus, the objective is to propose cost reduction by reducing the work in process, in order to improve the planning of the occupation of machines, distribute preventive maintenance and facilitate decision making. For this, discrete events computational simulation and optimization was used, through the AnyLogic software, to define the scenario of best combination of decision variables. As a result, it was possible to verify in the scenario the possibility of producing beyond demand, and also reduce 96% of the inventories in process. So, at the management level, it was possible to analyze the alternatives, identify possible flaws, correct them and define the one that best met the strategic needs of the company. This considering the possibility of random events and without the need to stop the operation of the factory for testing. At the academic level, this article aggregates into simulation-optimization studies that consider real data from a MTS production.Downloads
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