Chance‐constrained multi‐objective approach for hazardous materials routing and scheduling under demand and service time uncertainty-Reference-Cited by-同舟云学术

Chance‐constrained multi‐objective approach for hazardous materials routing and scheduling under demand and service time uncertainty

Published:2020-06-18 Issue:5-6 Volume:27 Page:318-336
ISSN:1057-9214
Container-title:Journal of Multi-Criteria Decision Analysis
language:en
Short-container-title:J Multi‐Crit Decis Anal

Author:

Moghaddam Kamran S.¹^ORCID,Azadian Farshid²

Affiliation:

1. Department of Marketing and Supply Chain Management, College of Business Clayton State University Morrow Georgia USA

2. Department of Management, Marketing and Operations, David O'Maley College of Business Embry‐Riddle Aeronautical University Daytona Beach Florida USA

Publisher

Wiley

Subject

Strategy and Management,General Decision Sciences

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mcda.1718

Reference57 articles.

1. Routing of a hazmat truck in the presence of weather systems

2. Solving the bicriterion routing and scheduling problem for hazardous materials distribution

3. A bi-objective time-dependent vehicle routing and scheduling problem for hazardous materials distribution

4. Applying genetic algorithm to a new bi-objective stochastic model for transportation, location, and allocation of hazardous materials

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1. Uncertain Multi-Objective Hazardous Materials Transport Route Planning Considering Resilience and Low–Carbon;IEEE Access;2023

2. Z-trapezoidal risk assessment for multi-objective Hazmat routing model with time windows;RAIRO - Operations Research;2022-11