| Title | A decision support system for evaluating the logistical risks in Supply chains based on RPN factors and multi criteria decision making approach |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Kayouh, Nabil, Dkhissi, Btissam |
| Conference Name | 2022 14th International Colloquium of Logistics and Supply Chain Management (LOGISTIQUA) |
| Keywords | Best-worst method, Companies, decision making, Decision support systems, Fuzzy logic, Industries, Metrics, Moroccan automotive industry, pubcrawl, risk management, supply chain management, supply chain risk assessment, supply chain risk management, Supply chains, TOPSIS |
| Abstract | Logistics risk assessment in the supply chain is considered as one of the important topics that has attracted the attention of researchers in recent years; Companies that struggle to manage their logistical risks by not putting in place resilient strategies to mitigate them, may suffer from significant financial losses; The automotive industry is a vital sector for the Moroccan economy, the year 2020, the added-value of the automotive industry in Morocco is higher than that of the fertilizer (Fathi, n.d.) [1], This sector is considered the first exporter of the country. Our study will focuses on the assessment of the pure logistical risks in the moroccan automotive industry. Our main objective for this study is to assess the logistical risks which will allow us to put in place proactive and predictive resilient strategies for their mitigation. |
| DOI | 10.1109/LOGISTIQUA55056.2022.9938092 |
| Citation Key | kayouh_decision_2022 |
A decision support system for evaluating the logistical risks in Supply chains based on RPN factors and multi criteria decision making approach