A decision-making based approach for reactive planning

This paper handles the problem of supply chain planning under an uncertain and disrupted environment. Uncertainty affects customer demand while disruption impacts the production process leading to alter already taken decisions. We develop an approach based on a detailed analysis of the different phases of the decision-making process highlighting explicitly two kinds of delay: Anticipation and realization delays. Thus, we propose an original modeling of the decision process. Then, we apply our original modeling within a dynamic planning process (rolling horizon procedure). For each planning step, updated data and real implemented decisions are considered. A linear programming model is then proposed. Numerical experiments express the benefits of our approach.