A Systematic Review of Stages Aad Decision Making Approaches in Supply Chain Risk Management

Abstract

Supply chain risk management (SCRM) is a key element in improving the resilience and sustainability of supply chain performance. Although studies on SCRM have developed, understanding the stages of risk management and decision-making approaches in determining mitigation strategies still requires systematic conceptual structuring. This article presents a systematic literature review aimed to (i) map the stages in supply chain risk management and (ii) identify and examine the decision-making approaches used in determining risk mitigation priorities and strategies. The review followed a structured protocol based on PRISMA diagram, including database selection, keyword formulation, inclusion–exclusion criteria, screening, eligibility assessment, and data extraction. Literature searches were conducted using Scopus and Google Scholar databases, resulting in 230 peer-reviewed articles included for in-depth analysis. The results of the study show that SCRM generally covers five core stages, namely risk identification, risk assessment, risk prioritization, mitigation alternative selection, and performance evaluation. Various decision-making approaches were found in the literature, including Analytical Hierarchy Process (AHP), Analytic Network Process (ANP), Fuzzy Logic, House of Risk (HOR), Supply Chain Operation Reference (SCOR), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and hybrid approaches. This study confirms that there is no single universal approach for all supply chain contexts; the selection of methods must be tailored to the characteristics of the risks, the objectives of the decision-making, and the operational conditions of the supply chain. This systematic review is expected to strengthen the theoretical foundation and provide a reference for further research and the implementation of more effective and sustainable SCRM practices.