Readiness assessment of Irankhodro industrial group to implement reverse logistics using fuzzy approach

Nowadays, environmental impacts and lack of accountability for human resources of the planet has become the main Concern. All organizations, including automakers are required to enter reverse logistics processes, as they are obliged to take responsibility for the proper disposal of waste products and their return. In this study, to achieve the readiness of Irankhodro in implementing reverse logistics, first 21 index and 52 sub-indicators contributing to the implementation of reverse logistics extracted from the literature and these indicators into four groups, agents, strategic, tactical and operational division were classified. After preparing the model, based on the first questionnaire and get expert opinions, weighted average priority (rank) of measurement was calculated and normalized. Complimentary 4 is designated as input, for each of the 3 linguistic variable low, medium and high-definition and 81 fuzzy rule if-then as a knowledge base into the MATLAB software. Using information obtained from the questionnaire's the 4 variables were calculated according to the membership function defined in an application for input variables, the readiness of Irankhodro Industrial Group fuzzy set "average" was awarded. Accordingly, proposals to implement the reverse logistics in industry group better presented.