چكيده به لاتين
The population growth and developments in living areas and expansion of the cities increase the human needs for food and other consumables. All this result in producing more waste being increasingly imposed to the environment. Municipal Solid Waste is the natural of human activity. However, if an appropriate mechanism and management system is not in place to handle and appropriately navigate this mass waste production, it pollutes the environment and threatens human health. This has made systematic waste management particularly in metropolitan and capital cities as one of the most important dilemmas in the field of municipal management which is yet to be addressed. In this respect and mainly due to the increase of social concerns pertaining the environment, the concept of reverse logistics has become a central matter within the field of municipal solid waste management which is itself part of the supply chain management.
This research proposes a model for designing municipal solid waste reverse logistics supply chain network. It aims to address two dimensions of sustainable development by considering two objective functions namely economical and environmental. The former examines the maximization of profits and the latter examines the minimization of CO2 emissions resulting from waste transportation and landfill storage. In doing so, the ɛ -constraint method was applied. The model is able to determine the number and optimal location of facilities, and flow of materials between the nodes at various levels of the network in order to simultaneously achieve both economical and environmental objectives.
In order to reduce the problem space and monitor the potential locations of the supply chain network facility, an effective ranking method such as Data Envelopment Analysis is presented. This study is an applied research using data collected from the Shiraz Municipality Waste Management Organisation. GAMS software was applied to solve the model.
Keywords: Reverse Logistics Supply Chain Design, Municipal Solid Waste, Data Envelopment Analysis, ɛ -constraint Method.
