چكيده به لاتين
In the last decade, government regulations, increasing environmental awareness, approval of strict laws and emergence of social responsibility of companies, have emphsised sustainable supply chain design and improvement of triple performance of sustainability, including economic, environmental and social aspects, especially for chemical and process industries. Alkyd resins are one of the products of paint and resin industry which is one of the important chemical industries.
In this thesis, a multi¬¬_objective mathematical model is developed to study the supply chain of alkyd resins production in Mokarrar industry group, considering sustainability.the proposed model aimed to investigate expansion of present company, locating the new company and selecting the technology, selecting the mode of transportation and determining the optimal flow amongfacilities, according to the sustainability considerations and uncertainty. The model has three objective functions. The First one is economic function which minimizes the cost of supply chain. The Seconde one is environmental function that is related to environmental impacts of the entire Alkyd Resin supply chain The Simapro softeware based on ReCipe method which is one the life cycle assessment method, is used for calculating the environmental impacts. The Third one considers social issues and maximizes the social responsibility. The GSLCAP method that is based on life cycle assessment isused for calculating social responsibility.Uncertainty of model arised from demand of customer, purchase costs of raw material and costs of transportation. The two-stage stochastic programming based on scenario is used for modeling. For each uncertain parameteres, three scenarios, including optimistc, neutral and pessimistic condition are defined. The fuzzy interactive goal programming and Gams software is aplied to solve the model. The results of the different components of three objective functions are shown in different diagrams and sensitivity analysis is done.
Keywords: Sustainable Supply Chain, Environmental Sustainability, Uncertainty, Multi_product, Multi_mode
