| Title | An integrated rough-DEMA℡ method for sustainability risk assessment in agro-food supply chain |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Benabdallah, Chaima, El-Amraoui, Adnen, Delmotte, François, Frikha, Ahmed |
| Conference Name | 2020 5th International Conference on Logistics Operations Management (GOL) |
| Keywords | Agro-food supply chain, Companies, DEMA℡, Economics, interval rough numbers, Metrics, pubcrawl, risk assessment, risk management, Rough sets, supply chain risk assessment, Supply chains, sustainability, sustainable development, Uncertainty |
| Abstract | In the recent years, sustainability has becoming an important topic in agro-food supply chain. Moreover, these supply chains are more vulnerable due to different interrelated risks from man-made and natural disasters. However, most of the previous studies consider less about interrelation in assessing sustainability risks. The purpose of this research is to develop a framework to assess supply chain sustainability risks by rnking environmental risks, economic risks, social risks and operational risks. To solve this problem, the proposed methodology is an integrated rough decision- making and trial evaluation laboratory (DEMA(tel)) method that consider the interrelationship between different risks and the group preference diversity. In order to evaluate the applicability of the proposed method, a real-world case study of Tunisian agro-food company is presented. The results show that the most important risks are corruption, inflation and uncertainty in supply and demand. |
| DOI | 10.1109/GOL49479.2020.9314712 |
| Citation Key | benabdallah_integrated_2020 |
An integrated rough-DEMA℡ method for sustainability risk assessment in agro-food supply chain