Simulação da dinâmica operacional do processo de produção de filés de tilápia em um frigorífico de peixes

Abstract

Decision making in the management of production process in small companies is generally based on the experience of the officer responsible for the production. Decisions based only on experience usually result in bottlenecks, design deficiency, ineffective staff allocation and operational problems. Given the need to improve the decision making process in small firms, this study aimed to examine, by means of simulation techniques, the operational dynamics of the production process of tilapia fillets in a food industry. A dynamic, stochastic and discrete model type was implemented in the Arena® simulation software. Through the simulation of the computational model was possible to measure the number of filleting process’ employees for a future production of 10 tons per shift. However, to excel in today's market, companies in addition to seeking improvements in productivity, which results in a more affordable final price, should satisfy customers who also opt for quality. If the variability of the product is high and the specifications are not met, quality is an increasingly distant target. Thus, in addition to the simulation, this study aimed to analyze weight variability of suppliers’ raw material as well as their performance in order to verify that they are within acceptable limits by the market.