A comprehensive research on analyzing risk factors in emergency supply chains

Abstract

Purpose Unforeseen events can disrupt the operational process and negatively impact emergency resources optimization and its supply chain. A limited number of studies have addressed risk management issues in the context of emergency supply chains, and this existing research lacks inbuilt and practical techniques that can significantly affect the reliability of risk management outcomes. Therefore, this paper aims to identify and practically analyze the specific risk factors that can most likely disrupt the normal functioning of the emergency supply chain in disaster relief operations. Design/methodology/approach This paper has used a three-step process to investigate and evaluate risk factors associated with the emergency supply chain. First, the study conducts a comprehensive literature review to identify the risk factors. Second, the research develops a questionnaire survey to validate and classify the identified risk factors. At the end of this step, the study develops a hierarchical structure. Finally, the research investigates the weighted priority of the validated risk factors using the fuzzy-analytical hierarchy process (FAHP) methodology. Experts were required to provide subjective judgments. Findings This paper identified and validated 28 specific risk factors prevalent in emergency supply chains. Based on their contextual meanings, the research classified these risk factors into two main categories: internal and external risk factors; four subcategories: demand, supply, infrastructural and environmental risk factors; and 11 risk types: forecast, inventory, procurement, supplier, quality, transportation, warehousing, systems, disruption, social and political risk factors. The most significant risk factors include war and terrorism, the absence of legislative rules that can influence and support disaster relief operations, the impact of cascading disasters, limited quality of relief supplies and sanctions and constraints that can hinder stakeholder collaboration. Therefore, emergency supply chain managers should adopt appropriate strategies to mitigate these risk factors. Research limitations/implications This study will contribute to the general knowledge of risk management in emergency supply chains. The identified risk factors and structural hierarchy taxonomic diagram will provide a comprehensive risk database for emergency supply chains. Practical implications The research findings will provide comprehensive and systemic support for respective practitioners and policymakers to obtain a firm understanding of the different risk categories and specific risk factors that can impede the effective functioning of the emergency supply chain during immediate disaster relief operations. Therefore, this will inform the need for the improvement of practices in critical aspects of the emergency supply chain through the selection of logistics and supply chain strategies that can ensure the robustness and resilience of the system. Originality/value This research uses empirical data to identify, categorize and validate risk factors in emergency supply chains. This study contributes to the theory of supply chain risk management. The study also adopts the fuzzy-AHP technique to evaluate and prioritize these risk factors to inform practitioners and policymakers of the most significant risk factors. Furthermore, this study serves as the first phase of managing risk in emergency supply chains since it motivates future studies to empirically identify, evaluate and select effective strategies that can eliminate or minimize the effects of these risk factors.

Assessing the Operational Capability of Disaster and Emergency Management Resources: Using Analytic Hierarchy Process (AHP)

“…[2, [30][31][32] Demand assessment Evaluate potential demand in emergency situations and provide data support for plan formulation.…”

“…AHP is particularly useful in scenarios fraught with uncertainty and multiple criteria, finding wide application across government, business, construction, healthcare, and education sectors. In the realm of disaster and emergency management, it aids in areas like disaster preparedness [10,38], emergency response [39,40], risk management and resilience assessment [41][42][43], sustainability assessment [44] and emergency supply chain risk analysis [30,45].…”

Assessing the Operational Capability of Disaster and Emergency Management Resources: Using Analytic Hierarchy Process

“…AHP is particularly useful in scenarios fraught with uncertainty and multiple criteria, finding wide application across government, business, construction, healthcare, and education sectors. In the realm of disaster and emergency management, it aids in areas like disaster preparedness [10,39], emergency response [40,41], risk management and resilience assessment [42][43][44], sustainability assessment [45], and emergency supply chain risk analysis [46,47].…”

Key Factors Influence the Reconfiguration of Supply Chain Design: A Review Paper

“… External risk External risks are the risk that is outside of the focal company's control, but it is within the supply chain network. External risks are caused due to the failure to accept and respond to the sudden changes in market demand [12].…”