부산대학교 도서관

Nowadays, many inventory practitioners give special attention to green inventory problems incorporating carbon emission issues throughout the world. In this study, a green inventory model is considered where the demand rate depends on selling price, stock and green concern level. The holding cost is considered a quadratic function of time, and preservation technology has been utilized to control carbon emissions. First of all, a profit maximization crisp model is developed. Then, due to market flexibility, the demand rate assumes uncertainty in nature, where the concept of membership value and nonmembership value exists. So, a fuzzy model is developed where the demand rate is assumed to be a pentagonal intuitionistic dense fuzzy number. A novel defuzzification technique and a solution algorithm have been presented to solve the proposed model. In the numerical illustration, a comparative study is given among crisp and other fuzzy environments. For numerical computation, LINGO 18.0 software has also been utilized. Findings reveal that the green concern is a vital factor for model optimization under uncertain system. Finally, graphical illustration and sensitivity analysis have been made to justify the proposed model.