Business and supply chain management strategy has a significant importance, and calls for serious research attention in recent years. The aim of this study is to propose an integrated approach to determine the most suitable supply chain programs, based on Sensitivity Analysis (SA) and Multi-Objective Linear Programming model (MLP). All programs are evaluated through five criteria (productivity, quality, cost, time and feasibility). Sets of weight of these criteria are built by using Sensitivity Analysis. Multi-Objective Linear Programming model is applied to select suitable strategic actions according to multiple conflicting objectives under a budget constraint. A case study from the Sai Gon-Mien Tay Beer Company is given to illustrate the proposed methodology.

@inproceedings{oscm-2019-537,
  title={Supply Chain Programs Selection using Sensitivity Analysis and Multi Objective Linear Programming Model},
  year={2019},
  author={Tran Thi Tham},
  booktitle={Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019},
  doi={10.31387/oscm410183}
}

Tran Thi Tham (2019). Supply Chain Programs Selection using Sensitivity Analysis and Multi Objective Linear Programming Model. In Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019. https://doi.org/10.31387/oscm410183