March 28, 2024
Ahmad Ghorbanpour

Ahmad Ghorbanpour

Academic Rank: Assistant professor
Address:
Degree: Ph.D in Industrial management
Phone: 09112919807
Faculty: School of Business and Economics

Research

Title
Designing a Green Supply Chain Network for Aquatic processing under uncertainty
Type Thesis
Keywords
بهينه سازي، زنجيره تامين سبز، فرآوري آبزيان، عدم قطعيت.
Researchers zahra avazpour (Student) , Ahmad Ghorbanpour (Primary advisor) , Reza Jalali (Advisor) , Hojat Parsa (Advisor)

Abstract

Background: Increasing environmental pollution has caused global warming and affected the health of humans and animals. Hence, the issue of greenness has become particularly important in recent studies. Aim: Provide a multi-objective mathematical model in a multi-level, multi- product green supply chain network that minimizes total chain costs, environmental, and maximizes capacity levels. On the other hand, due to the uncertainty of the level of demand in the market, there will be uncertainty. Methodology: This research is practical in terms of purpose and predictive in terms of data collection. In this research, mathematical modeling has been used. A comprehensive benchmark approach was used to solve this model. The software used in this study is GAMS software with CPLEX and LINDO solvers. Conclusions: In this research, after drawing the problem network and explaining the mathematical model, its solution was performed by a comprehensive standard method with p values equal to 1, 2 and 3. The value of the objective function was calculated with p equal to 1 equal to 0.09. By increasing the value of p, it became clear that there is no distance between the values of the objective functions and the ideal answer. Then, the value of decision and binary variables was calculated. The first plant has the highest capacity to receive water from the first three farms, the third and fourth. Also, by taking the amount of binary variables, all farms and factories can carry out production and processing activities.