Recently, a growing interest in achieving sustainability development goals in business has increased in a way that challenging decision makers in seeking sustainable sourcing considering economic, environmental and social aspects. A hybrid fuzzy TOPSIS-fuzzy multi objectives optimization model was developed to solve supplier selection and order allocation problem in a three-echelon supply chain considering sustainability aspects. The objectives include minimization of expected costs, environmental impact and travel time and maximization of social impact. Fuzzy TOPSIS was employed to evaluate suppliers’ performance vis-a-vis traditional, green and social criteria. The obtained performance score was then integrated into the fuzzy multi-objective model. Then, a set of Pareto solutions was derived by using the LP-metrics method. The developed fuzzy TOPSIS-fuzzy multi- objective model was validated on a three-echelon meat supply chain. This study has considered several sustainability oriented-criteria in sourcing. The research outcome revealed significant managerial and practical implications of the sourcing optimization model.

@inproceedings{oscm-2019-549,
  title={Towards Sustainability in Sourcing: A Hybrid MCDM Approach},
  year={2019},
  author={Ahmed Mohammed},
  booktitle={Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019},
  doi={10.31387/oscm410186}
}

Ahmed Mohammed (2019). Towards Sustainability in Sourcing: A Hybrid MCDM Approach. In Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019. https://doi.org/10.31387/oscm410186