IJE TRANSACTIONS C: Aspects Vol. 32, No. 3, (March 2019) 413-423 Please cite this article as: Z. Akbarzadeh, A. H. Safaei Ghadikolaei, M. Madhoushi, H. Aghajani, A hybrid Fuzzy Multi-criteria Decision Making Model based on fuzzy DEMATEL with fuzzy Analytical Network Process and Interpretative Structural Model for Prioritizing LARG Supply Chain Practices, International Journal of Engineering (IJE), IJE TRANSACTIONS C: Aspects Vol. 32, No. 3, (March 2019) 413-423 International Journal of Engineering Journal Homepage: www.ije.ir A Hybrid Fuzzy Multi-criteria Decision Making Model Based on Fuzzy DEMATEL with Fuzzy Analytical Network Process and Interpretative Structural Model for Prioritizing LARG Supply Chain Practices Z. Akbarzadeh, A. H. Safaei Ghadikolaei*, M. Madhoushi, H. Aghajani Department of Industrial Management, University of Mazandaran, Babolsar, Iran PAPER INFO Paper history: Received 02 January 2018 Received in revised form 29 March 2018 Accepted 27 May 2018 Keywords: LARG Supply Chain LARG Practices FDANP Technique Interpretative Structural Model Dairy Industries ABSTRACT In recent years, taking advantage of LARG supply chain (SC) paradigm, a combination of four paradigms (clean, agile, resilience and green) has been increasingly employed. For capturing the advantages of LARG in SC, companies needed to recognize proper practices and implement them with appropriate planning and infrastructure. However, one of its deficiencies is lack of proper method in the prioritization of the LARG paradigms and practices as well as explanation of their relationship. Hence, the main contribution of this paper is to present a comprehensive approach to deal with inherent vagueness and uncertainty of the human decision process using fuzzy set theory, it aims to provide a quantitative basis via a hybrid fuzzy multi-criteria decision making (FMCDM) model that will make easy data collection and shall decrease the calculation. This model combines fuzzy decision making trial and evaluation laboratory (DEMATEL) with fuzzy analytical network process (ANP), i.e. FDANP, to determine the global weights of paradigms and practices and develop their impact relation map. Finally, the implementation of practice was prioritized by using interpretative structural model (ISM). It should be noted that, to measure the efficiency of this method, Iranian dairy industries as a case study was considered. With the help of obtained results, it can be determined the most and the least important practices and paradigms and prioritization of their implementation. doi: 10.5829/ije.2019.32.03c.09 1. INTRODUCTION 1 Supply Chain Management (SCM) utilizes some special methods for the planning of manufacturing and distribution activities in various decision making levels in order to have flow of materials, money and information in an effective way to meet the business requirements [1, 2]. Today, Supply Chain (SC) and logistics' operations have been identified as the most important activities in companies [3]; based on literature, its most frequently benefits are cost saving, inventory reduction, visibility increase and reduction in bullwhip effect [4]. In this regards, many researchers believe that applying appropriate paradigm in supply chain usually impacts on the company’s performance directly, especially for the main players [5]. In past two decades, four paradigms of lean, agile, resilient and green were the key paradigms of SC in the business and industrial fields. *Corresponding Author Email: ab.safaei@umz.ac.ir (A. H. Safaei Ghadikolaei) These researches were developed on two main fields, namely the development of the model or a method for examining the relationship between LARG SC practices, the performance and increase in the SC competitiveness [6-13], studying the compatibility of practices related to LARG SC paradigms [14-18]. So far, to the best of our knowledge, no research has been conducted to identify the LARG SC practices and to clarify the relationships among them in dairy industries, which represents a significant theoretical and empirical gap in this area. The world of dairy industry is changing due to great concerns about more efficiency in order to produce lower-cost products, quick response to customers diversified demands, reduce disruption and risks in supply, produce and distribute perishable products, and also produce organic products with environment-friendly packaging and so on [19].