Design of fuzzy scenario-based cognitive map of environmental indicators of performance excellence model (Case Study: Yazd Steel Industries)

Economic activities use and depend on natural resources, and the nature of their processes is such that they potentially pollute the environment. Therefore, environmental evaluation practices in various industries, including the steel industries, should be reviewed. The purpose of this study is to identify the environmental indicators of performance excellence model of Yazd Steel Industries and design the relationships between them through fuzzy cognitive map. This study is applied in terms of purpose and descriptive-survey in terms of type and data collection. At first, with the meta-synthesis approach, 40 articles were reviewed as samples and in order to identify complementary indicators, environmental activists in the steel industry were interviewed, in which 269 environmental indicators, 36 concepts and 9 categories of performance excellence model were identified. In order to collect data and examine the relationship between environmental concepts, industrial and academic experts have completed the questionnaires and with the fuzzy cognitive map technique and FCMapper and Pajek softwares, a linking model between factors and scenario making has been designed. The research findings from the designed fuzzy cognitive map show 157 relationships between 36 concepts, of which six scenarios are obtained in two ways, backward scenario and forward scenario.