Product Goals Optimization with Fuzzy Goal Programming Approach and an Application Integrated Iron And Steel Plant
Neslihan Yağcı Köse Ramazan ŞAHİN
AbstractNowadays, one of the most important problems of businesses is to optimize projects with many conflicting goals. Goal programming model is very commonly used tool for solving multi objective programming solving. However, the concept of uncertainty is very important in optimizing model where there are many targets. In these reason, the complexity of uncertainties in our environment or insufficient capabilities of decision-makers lead researchers to concentrate on new methodologies. One of the best ways to decide in case of uncertainty is to use the fuzzy goal programming model. The production targets of an integrated iron and steel plant are becoming more complex in a changing production environment where the suppliers need to be diversified. In the iron and steel industry, mathematical programming techniques have been used since 1958 and since then many optimization applications have been reported. In this study, firstly concept of fuzzy and fuzzy logic was explained. Then goal programming and fuzzy goal programming methods were investigated. Finally, the product supply problem of the integrated iron and steel plant was solved by two different Fuzzy Goal Programming approaches and the most appropriate procurement program was found. Then, the results obtained by these two methods were compared and the findings were interpreted.