Abstract:
The rising levels of industrialization in developed countries, combined with globalization trends, have created new challenges to supply chain management. In this paper, a green supply chain network design approach is proposed to deal with the trade-offs between environmental and financial issues in order to reduce the negative environmental impacts caused by increasing levels of industrialization. When constructing the supply chain, the new approach integrates a supply chain network design and a multi-objective optimization mathematical model to maximize total profit and minimize carbon dioxide emissions. There are five model created to solve this problem which are minimizing weighted percentage deviation from goal method (non-fuzzy and fuzzy model), maximizing minimum satisfaction method (non-fuzzy and fuzzy model) and minimizing maximum deviation from satisfaction target method. The numerical illustration is simulated from the real data such as the location of facility and customer, selling price, cost, and carbon emission from transportation and production. The proposed mathematical model can illustrate the trade-offs between TP and TCOE, assuming a different transportation mode network. The results of this study show the pros and cons of each method and results allowed to identify the capability of the model to deal with the trade-offs between the profit and environmental issues as well as to identify its main limitation when addressing real world problems
Thammasat University. Thammasat University Library