A global satisfaction degree method for fuzzy capacitated vehicle routing problems

García, Juan Carlos Figueroa; Tenjo-García, Jhoan Sebastian; Franco, Carlos

doi:10.1016/j.heliyon.2022.e09767

Cited by 2 publications

(1 citation statement)

References 40 publications

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“…Figueroa-García et al [17] presented an fuzzy capacitated VRP in which the travel cost and customer demand were formulated in the form of fuzzy numbers. The authors considered the membership function of the fuzzy parameters as a mix of triangular and Gaussian.…”

Section: Fuzzy Vehicles Routing Problemmentioning

confidence: 99%

Z-trapezoidal risk assessment for multi-objective Hazmat routing model with time windows

Zandieh

Ghannadpour

2022

RAIRO-Oper. Res.

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Hazardous material (Hazmat) transportation is an inseparable section of the industry, despite its major financial and health risks. In order to optimize Hazmat transportation, a multi-objective Hazmat routing model with time windows is employed where the risk and distance are minimized. Due to the uncertainty of Hazmat transportation risk, a Z-number fuzzy approach is used to estimate the risk, in which the probability of occurrence and the severity is considered in the context of Z-information. The severity of the event includes the affected population and depends on the amount of transported Hazmat and the number of individuals affected by the explosion. To tackle the proposed model, the present paper utilizes a multi-objective hybrid genetic algorithm, the validity of which is tested by Solomon's problems. Furthermore, the optimization of a case study concerning the Hazmat distribution in Iran is analyzed using the suggested approach to assess the efficiency of the proposed fuzzy problem in real-world applications.

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Section: Fuzzy Vehicles Routing Problemmentioning

confidence: 99%