Abstract:

Sustainable supply chain (SSC) management has improved company’s competitive strategy during last decades. A lot of work has been done using mathematical models to optimise various criteria in the SSC. However, supply chain dynamics, such as uncertainty in production demand and transportation, are not present in most of them. In real systems the influence of random factors is significant. Therefore, the use of computer simulation can be an effective method of presenting various variants. This paper shows the application of a computational tool to support strategic decisions in the sustainable supply chain. The proposed approach combines the techniques of computer simulation modeling and Multiple Criteria Decision Analysis (MCDA) to analyse and evaluate the complex logistic problem. The research carried out allowed to create an accurate model of the real supply chain of a pharmaceutical company. It also identified what are the most important problems in the SSC chain and which performance criteria are considered to be critical for managers. The methodology used demonstrates the possibilities of creation various scenarios and allowing for their comparison and multi criteria evaluation.