- مبلغ: ۸۶,۰۰۰ تومان
- مبلغ: ۹۱,۰۰۰ تومان
Nowadays risks become a critical part in our life since they are involved in everything we do and participate. Some people do not want to do anything which associated with risk and others flourish on risk. In both types of people, they must relieve their risk through utilizing safety measures such as flame retardant suits and helmets for race car drivers, and safety ropes for rock climbers. All risks can be minimized to a manageable level by employing the proper mitigation strategy. In supply chain, the decisionmaking process contains risks which can be influential on the company’s progress in introducing a new product, expanding in various markets, and outsourcing manufacturing operations. Companies will be likely to perform well via considering risks in their decisions and employing the proper mitigation strategy for responding to the unexpected events The subjectivity, uncertainty and vagueness which exist in reality are the key factors to make risks difficult to handle Hence, risk analysis, mitigation and control provide recommendations for making suitable decisions. In order to quantify risks in supply chain, an integrated method with a neutrosophic analytical hierarchy process (N-AHP) and neutrosophic technique has been demonstrated for this purpose. It is aimed for matching similarity to the ideal solution (N-TOPSIS) by order preference. The neutrosophic values in our research can deal effectively and efficiently with vague, uncertain and in incomplete information which has a significant impact on risk management. For illustrating the suggested methodology, a real case study is illustrated.
Conclusions and future work
Due to the highly vehement environments which supply chains face current and enduring emphasis on growing efficiency, the risks in the supply chain are increased. A supply chain extends over many countries and brings various types of risks. All these types of risks made us try to measure and manage it. The risk is intangible parameters and hard to measure, and almost research topics used qualitative estimation which are generally descriptive and do not offer an accurate measurement of risk. Some researchers used quantitative methods for measuring risks in supply chain but they failed to consider indeterminacy which exists usually in real world. So, their results were not accurate and also their risk management decisions. In this research we integrated AHP with TOPSIS technique using neutrosophic set for better dealing with uncertainty, vagueness and inconsistency of information. The proposed method could be used in quantifying risks of supply chain, since it was applied to a real case study for validation. The evaluation process of supply chain risks is presented by using triangular neutrosophic numbers in comparison matrices. For transforming triangular neutrosophic number to its equivalent crisp value we utilized a score function The suggested methodology has accomplished many advantages for transacting with vague and uncertain and inconsistent information that usually exist in estimation process of supply chain risks. In the future, we will quantify risks in a supply chain by using various MCDM techniques and compare among their results.