Fuzzy Inference System for Control of Profitability in a Paper Recycling Plant: Mamdani's Design Approach.
Uduak Augustine Umoh, E. O. Nwachukwu, Okure Udo Obot · 2010
As the demand for materials continues to grow and the supply of natural resources continues to dwindle, recycling of materials has become more important in order to ensure sustainability. Recycling reduces greenhouse gas emissions that may lead to global warming. Recycling also conserves the natural resources on Earth, saves space in the landfills for future generations of people. A sustainable future requires a high degree of recycling. However, Recycling industries face serious economic problems that increase the cost of recycling. This highlights the need of applying fuzzy logic models as one of the best techniques for the effective control of profitability in paper recycling production to ensure profit maximization despite the varying cost of production upon which profits depend. Fuzzy logic has emerged as a tool to deal with uncertain, imprecise, partial truth, or qualitative decision-making problems to achieve robustness, tractability, and low cost. In order to achieve our objective, a study of a knowledge based system for effective control of profitability in paper recycling is carried out. The Mamdani‟s Max-Min technique is employed to infer data from the rules developed. This resulted in the establishment of some degrees of influence of input variables on the output. To reinforce the proposed approach, we apply it to a case study performed on the paper recycling industry in Nigeria. A computer simulation is designed to assist the experimental decision for the best control action. The system is developed using MySQL Database Management System 6.0