Combining Robust Analysis and Fuzzy Screening to Develop a Robust Strategic Planning Model for Service Logistics Network; a Case of Shiraz Electric Distribution Co

When decisions are made in uncertainty, robust analysis is a reliable method to evaluate the consequences of an initial decision during time. In this method sequential decisions would be implemented during a period of time and assessed. To establish robust analysis, we need to develop future scenarios and extract initial commitments which are more robust. Although it's abilities, robust analysis is a simple approach for gathering expert opinions and loses lots of information. The proposed model in this article, combines fuzzy screening phases with robust planning. The model here is then tested in a case study. In workshops six experts in Shiraz ED Co. cooperated to extract future scenarios, system configurations and needed commitments. Eventually by structuring the problem and evaluating this based on selected criteria, the desired configurations were specified. These configurations made the strategic solutions for logistics network for long term. The results show the combination of fuzzy screening and robust analysis can be used efficiently as a strategic planning framework for ambiguity and unstructured problems.