(R2161) Robust Optimization of Industrial Hazardous Waste Location-Routing Problem Considering Response Actions to Environmental Risk

Authors

• Sharareh Teimoori, Islamic Azad UniversityFollow
• Farhad Hosseinzadeh Lotfi, Islamic Azad UniversityFollow
• Navid Rafiei, North Tehran Branch, Islamic Azad University, Tehran, IranFollow

Abstract

The management of hazardous industrial waste has emerged as a significant global challenge due to rapid technological advancements. Industrial hazardous waste management systems must be designed not only to be cost-effective but also to minimize environmental risks. This study proposes a mixed-integer programming model for the location-routing of industrial hazardous waste that incorporates both primary and secondary environmental risks, along with suitable response actions. Furthermore, a scenario-based robust optimization model is developed to address uncertainties in the quantities of industrial hazardous waste. A case study is conducted to demonstrate the applicability and comparative performance of the nominal and robust models. The findings reveal that, despite a slight increase in total system cost, the robust optimization model more effectively manages uncertainty in hazardous waste quantities. Also, the results indicate the occurrence of secondary risks influences decision-makers’ choice of response actions to primary risks, underscoring the necessity of cost-based evaluation to determine optimal response strategies.

Recommended Citation

Teimoori, Sharareh; Lotfi, Farhad Hosseinzadeh; and Rafiei, Navid (2050). (R2161) Robust Optimization of Industrial Hazardous Waste Location-Routing Problem Considering Response Actions to Environmental Risk, Applications and Applied Mathematics: An International Journal (AAM), Vol. 21, Iss. 1, Article 5.
Available at: https://digitalcommons.pvamu.edu/aam/vol21/iss1/5