Location and Allocation Optimization for Integrated Decisions on Post-Disaster Waste Supply Chain Management: On-site and Off-s Separation for Recyclable Materials
چکیده مقاله :
Post-disaster waste management is one of the most important operational management systems that have been developed to help affected communities recover and restore conditions back to a stable situation after a disaster. An effective post-disaster waste management strategy still needs to be further developed for optimum efficiency. Hence, this paper aims to present the developed system of post-disaster waste supply chain management strategy (PWSCM) along with the integrated decision-making system for the on-site and off-site separation of recyclable materials. A mathematical model of mixedinteger linear programming is proposed in which the objective aims are to minimize the financial effects through assessment of the fixed costs and variable costs, RSR (Reduction, Separation and Recycling) costs, and the penalty costs associated with the negative environmental and human effects of post-disaster scenarios and to maximize revenue from any sellable waste. The proposed model considers all networks in the debris operation process that consists of waste collection and separation sites, processing and recycling sites, disposal sites and market sites. Moreover, the RSR technologies have also been considered in the proposed model. Due to the limitations of competence of an exact solution method for such a large problem, this study also presents two effective metaheuristic approaches with particular encoding and decoding schemes; Particle Swarm Optimization (PSO) and Differential Evolution (DE) to solve PWSCM. Finally, the numerical tests for PWSCM improvement will be discussed. The
توضیحات تکمیلی :
مقاله ISI انگلیسی اصلی سال انتشار:2018 فایل ISI انگلیسی اصلی ، با فرمت Pdf تعداد صفحات فایل ISI انگلیسی اصلی: 34 صفحه