چكيده به لاتين
Abstract:
In the past, to minimizing total cost or maximizing profit was the main goal of the supply chains. In addition to these objectives, other factors such as the environmental impact of products and operations and also health, security and worker's welfare are major concerns of the supply chain. In this way, activists, non-governmental organizations and the Medias are demanding that companies are not only responsible for their actions, but also are responsible for other members of the supply chain. Thus the supply chain is changing to sustainable supply chain management with different incentives.
However, over the past two decades in the wake of concepts such as globalization, the equations governing the supply chain has also changed a lot. And managers face new unknown conditions and new risks that are necessary to prepare themselves for active and effective management.one of The important Group of risks facing the supply chain, are the risks that disturbances that led to the interruption of the flow of materials in the chain and may lead to the inability to provide the final product on the chain. Another group of risks, are including uncertainties in the input data such as uncertainty in demanding, capacity, costs and other parameters of the problem.
In this way, this thesis is to develop a multi-objective model for a forward logistics network design that in addition to the cost object function, other targets have been met. In which environmental effects such as water consumption and energy and also social impact, including employment rates and percentage of employee’s member of the trade union is considered.
In addition, according to the uncertainty of nature of the real world and fluctuations of the parameters ,uncertainty conditions in the input data, and also supply chain's disruptions simultaneously has been included in the modeling. In this thesis uncertain parameters are taken into account, including the costs of transport, demand are using optimization based on robust of uncertainty into modeling. Impairment of the facilities to include a scenario approach has been applied and finally the steel industry to evaluate the performance of the model used. The results for 12 time simulation based on different values of non-deterministic parameters, suggest that the proposed model has outperformed than deterministic model, and the mean and standard deviation is less than (deterministic model).
Keywords: sustainable, uncertainty, disruption, network design, multi objective programming, robust optimization.
