JIEMS Journal of Industrial Engineering and Management Studies Vol. 8, No. 2, 2021, pp. 54-92 DOI: 10.22116/JIEMS.2021.251146.1388 jiems.icms.ac.ir Complex adaptive systems, agent-based modeling and supply chain network management: A systematic literature review Mohammad Hossein Sadat Hosseini Khajouei 1 , Nazanin Pilevari 2, * , Reza Radfar 1 , Ali Mohtashami 3 Abstract In recent decades, researchers are turning to the potential of ABMs to study complex phenomena. Due to intrinsic interconnections, structural interactions and inter-dependencies, individual variations, and communications of various components, supply chain network should be accordingly treated as a complex adaptive system. ABM is dominant tool exploring the emergent behavior of supply chain network with numerous interactive agents. This paper aims to conduct a systematic literature review on the agent-based modeling in the concepts of supply chain and various fields of research. Using reputable databases, combining intended keywords and applying filters based on restrictions and indicators, a total of 123 relevant articles are selected from the valid journals and conferences in year 2010-2019, and 17 subjects in association with supply chain management and 23 subjects related to other fields are presented. Moreover, a brief history and the definition of the three basic areas including complex systems, complex adaptive system and agent-based modeling are provided. The main objective is to provide a perspective based on agent-based modeling and complex adaptive systems for researchers in different sciences and especially supply chain researchers, who are not sufficiently familiar with the philosophy and applications of these approaches. Keywords: agent based modeling; complex adaptive system; supply chain network; systematic literature review. Received: October 2020-03 Revised: February 2021-22 Accepted: April 2021-18 1. Introduction and background In addition to remarkable progress in performing complicated and voluminous calculations through the advancement of computer software and variety of programming languages, and due to intrinsic interconnections, interactions, and communications of various components situated in time and space, simple models are losing their effectiveness and proficiency. Accordingly, scientists are seeking solutions for the problems with different levels of complexity. The need to create different scenarios by decision-makers has necessitated the * Corresponding author; nazanin.pilevari@gmail.com 1 Department of Management and Economics, Science and Research Branch Islamic Azad University, Tehran, Iran. 2 Department of Industrial Management West Tehran branch, Islamic Azad University, Tehran, Iran. 3 Department of Management and Accounting, Qazvin branch, Islamic Azad University, Qazvin, Iran.