The route choice of hazardous material transportation with value-at-risk model using chance measure in uncertain environments
Autor: | Mingtao Chen, Zhanzhong Wang, Ningbo Cao, Liying Zhao, Mengmeng Yu |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
050210 logistics & transportation
Measure (data warehouse) Computer science Mechanical Engineering lcsh:Mechanical engineering and machinery 05 social sciences Poison control 02 engineering and technology Suicide prevention Fuzzy logic Occupational safety and health Risk analysis (engineering) Hazardous waste 0502 economics and business 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing lcsh:TJ1-1570 Risk assessment Value at risk |
Zdroj: | Advances in Mechanical Engineering, Vol 10 (2018) |
ISSN: | 1687-8140 |
Popis: | This article combines a value-at-risk model with fuzzy theory and proposes a model using chance measure based on the value-at-risk model named chance-value-at-risk (ChVaR). The proposed model considers two measures, probability measure and credibility measure. The objective of this model is to determine the best route schedule that minimizes the risk at certain probability levels and credibility levels. For the proposed model, the correctness of its founding is proven. A detailed solution procedure is presented and tested to solve the ChVaR model. To verify the applicability of the model, two different scale cases are given: the first case indicates that the model can provide a satisfactory solution within a relatively small error range, and the second case routes the path of hazardous material transportation in Changchun, China. According to different probability levels and credibility levels, the ChVaR model provides different paths and multiple alternative choices for a decision maker. This point is important in practical scenarios. |
Databáze: | OpenAIRE |
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