| Popis: |
The Viable Closed-loop Supply Chain Network (VCLSCND) is a new concept that integrates sustainability, resiliency, and agility in a circular economy. We suggest a new form of robust stochastic optimization for this problem by minimizing the weighted expected, maximum and Entropic Value at Risk (EVaR). We proposed this form to increase robustness against demand disruption and energy productivity. Finally, we located CLSC components and assigned flow in the automotive industry. The results show that the cost of VCLSCND is less than without viable and has -0.44% gap. By increasing the conservative coefficient and confidence level, decreasing the allowed maximum energy and increasing the scale of the main model, the cost function, time solution and energy consumption grow. We suggested applying the Fix-and-Optimize algorithm for producing upper bound of large-scale. As can be seen, the gap between this algorithm and the main problem for cost, energy and time solution is approximately 6.10%, -8.28%, and 75.01%. |
