کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
479998 | 1446058 | 2013 | 9 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: A multi-objective mathematical model for the industrial hazardous waste location-routing problem A multi-objective mathematical model for the industrial hazardous waste location-routing problem](/preview/png/479998.png)
Industrial hazardous waste management involves the collection, transportation, treatment, recycling and disposal of industrial hazardous materials that pose risk to their surroundings. In this paper, a new multi-objective location-routing model is developed, and implemented in the Marmara region of Turkey. The aim of the model is to help decision makers decide on locations of treatment centers utilizing different technologies, routing different types of industrial hazardous wastes to compatible treatment centers, locations of recycling centers and routing hazardous waste and waste residues to those centers, and locations of disposal centers and routing waste residues there. In the mathematical model, three criteria are considered: minimizing total cost, which includes total transportation cost of hazardous materials and waste residues and fixed cost of establishing treatment, disposal and recycling centers; minimizing total transportation risk related to the population exposure along transportation routes of hazardous materials and waste residues; and minimizing total risk for the population around treatment and disposal centers, also called site risk. A lexicographic weighted Tchebycheff formulation is developed and computed with CPLEX software to find representative efficient solutions to the problem. Data related to the Marmara region is obtained by utilizing Arcview 9.3 GIS software and Marmara region geographical database.
► Multi-objective model for location-routing of industrial hazardous materials.
► Implementation in Marmara region of Turkey obtaining data with Arcview GIS.
► We determined the locations of treatment, disposal, and recycling centers.
► We considered three criteria: total cost, transportation risk, and site risk.
► Representative efficient solutions with lexicographic weighted Tchebycheff method.
Journal: European Journal of Operational Research - Volume 226, Issue 2, 16 April 2013, Pages 332–340