DETERMINATION OF ORDER EXECUTION PRIORITY USING A FUZZY DECISION SYSTEM. THE CASE OF PRODUCTS OBTAINED BY INJECTION MOLDING OF PLASTIC

Purpose – This paper aims to present the development and implementation of a fuzzy logic system used for production scheduling, designed to improve the decision-making processes and manage uncertainties. Methodology/approach – The research adopts a methodological framework that combines principles of fuzzy logic with production scheduling theories. A system was developed and tested using real data from production. The approach involved creating a set of rules, tailored to meet specific needs in the production environment. Findings – The system improves the efficiency of production scheduling through dynamic adjustment of priorities based on input variables. This helps to adhere to deadlines and improves resource management. Research limitations/implications – The study is limited because it approaches specific production scenarios and requires adjustment for use in other industrial contexts. Future research could improve the model by introducing other variables to make it more versatile. Practical implications – The system can improve production efficiency and assure adherence to deadlines, providing a useful tool for production managers. Originality/value – The study highlights the advantages fuzzy logic offer when it comes to managing the uncertainties in production processes and it provides a framework that can be adapted and extended for broader use in production operations.