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Optimizing Emergency Logistics for the Offsite Hazardous Waste Management

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Abstract

Hazardous wastes pose increasing threats to people and environment during the processes of offsite collection, storage, treatment, and disposal. A novel game theoretic model, including two levels, is developed for the corresponding optimization of emergency logistics, where the upper level indicates the location and capacity problem for the regulator, and the lower level reflects the allocation problem for the emergency commander. Different from other works in the literature, we focus on the issue of multi-quality coverages (full and partial coverages) in the optimization of facility location and allocation. To be specific, the regulator decides the location plan and the corresponding capacity of storing emergency groups for multiple types of hazmats, so to minimizes the total potential environmental risk posed by incident sites; while the commander minimizes the total costs to provide an efficient allocation policy. To solve the bi-level programming model, two solution techniques, namely a KKT condition approach and a heuristic model, are designed and compared. The proposed model and solution techniques are then applied to a hypothetical case and a real-world case to demonstrate the practicality and provide managerial insights.

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Acknowledgment

This research has been supported by grants from the National Natural Science Foundations of China under grant No.61803091 and the Natural Science Foundation of Guangdong province under grant No.2016A030310263, as well as a Discovery Grant from the Natural Sciences and Engineering Research Council of Canada under grant No. RGPIN-2015-04013.

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Authors and Affiliations

  1. School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou, 510006, China

    Jiahong Zhao

  2. Faculty of Business Administration, Memorial University of Newfoundland, St. John’s, Newfoundland and Labrador, Canada, A1B 3X5

    Ginger Y. Ke

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  1. Jiahong Zhao
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  2. Ginger Y. Ke
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Correspondence to Ginger Y. Ke.

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Jiahong Zhao is an associate professor in School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou, China. She holds a PhD degree in transportation planning and management from Southwest Jiaotong University, Chengdu, China, and a joint PhD from McGill University, Montreal, Quebec, Canada. Her research interest includes risk assessment, management of hazardous wastes, and optimization of transportation systems. She has published over 20 articles on top journals, and received financial support from over 5 research funds, including the National and Province Nature Science Funds.

Ginger Y. Ke is an associate professor at the Faculty of Business Administration, Memorial University of Newfoundland, St. John’s, Newfoundland and Labrador, Canada. She received her PhD in the Department of Management Sciences from University of Waterloo. Her research interest lies in the areas of logistics and transportation, supply chain coordination, game theory, and conflict analysis. She has published research articles in various highly respected international journals, including European Journal of Operational Research, Journal of the Operational Research Society, International Journal of Production Economics, International Journal of Production Research, Transportation Research, etc.

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Zhao, J., Ke, G.Y. Optimizing Emergency Logistics for the Offsite Hazardous Waste Management. J. Syst. Sci. Syst. Eng. 28, 747–765 (2019). https://doi.org/10.1007/s11518-019-5429-5

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