Simulador de sequenciamento de produção baseado na teoria das restrições

Abstract

This paper presents a mathematical model and a computational algorithm based on the Theory of Constraints (TOC), using techniques of discrete event simulation by a tooling production, achieving a reduction of the production cycle, allowing better use of equipment. This work demonstrates that the application of TOC in a manufacturing environment simulated using discrete event techniques is feasible for companies such as study, when these schedule changes proposed by the software to improve their production processes. The work demonstrates a mathematical model for the task and its algorithm. It is an experimental, quantitative, with the goal of an applied nature explanatory and deductive methods. The system helps improve the solutions continuously to exhaust the possibility of eliminating bottlenecks. One major benefit is the reduction of risk of erroneous changes made without the simulation. Random variables are used to simulate time and product waste. The work shows the results in production orders four different scenarios that simulate real, obtaining improvements in processing time. It also presents a statistical study showing how the simulator presented is efficient in terms of results. At the end concludes that the proposed model is feasible for the environment studied, limited to one cycle of analysis based on TOC, and this application is part of a larger system, outside the context of this.