Determining Amounts of Energy Saver Devices in an Electronic Industry Using Fuzzy Linear Programming

Rapid and accurate decision making is not only important for people but also for organizations. However, uncertainty makes decision making difficult. Fuzzy logic approach is deal with uncertainty situations. Namely, fuzzy logic is a precise logic of uncertainty and approximate reasoning. Besides, Fuzzy Linear Programming (FLP) is also known as a strategy that can take into consideration to fuzziness. Determining amounts of production is one of the most important factors effecting the profitability level of enterprises. The aim of this study which is prepared since classical mathematical programming models are inadequate to examine situations that consist of uncertainty; is to bring up how FLP model for providing the best decision making under fuzzy environments can be used at determining amounts of energy saver devices. Required data is obtained and the problem is figured out via Zimmerman approach which is one of the approaches for FLP. In this way, problems that may occur such as cost, waste of time, overstock and customer loss will be prevented. As a result, the solution gives the amount of production for each energy saver device in order to get optimal solution for profit maximizing. This study makes a contribution to practicality of FLP, by supplying a wider moving area than classical set theory to decision makers