An approach for tactical planning under uncertain and disrupted environment

This paper addresses the problem of supply chain tactical planning under uncertainty and perturbation. Uncertainty is defined according to future data and perturbation is detected according to past decisions. We develop an approach based on successive planning steps (rolling horizon procedure). For each planning step, data is updated and real implemented decisions are taken into account. To deal with uncertainty and perturbation, an accurate analysis of the different stages in decision making is done. This leads us to an original modeling of the decision process inertia. A programming linear model is then proposed. Academic numerical experiments show the benefits of our approach to face uncertain and disrupted environment.