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This study aims to combine theory and practice to develop an integrated supply chain resilience framework by investigating the inter-dependencies between the strategic literature based concept of supply chain resilience and operational practitioner based disaster management processes.

Utilising an in-depth qualitative case of a collaborative agency, this study identifies best practices within disaster management for insights on the operationalisation of supply chain resilience.

The empirical data leads to the development of an integrated supply chain resilience framework capturing the interplay of disaster management processes and capabilities required to build supply chain resilience. The critical importance of mitigation processes in building supply chain resilience is highlighted.

The generic supply chain resilience framework represents a valuable guide for managers when directing resources and planning for building the capabilities required in each phase of disaster management, while remaining strategically focused. The value of the framework is demonstrated by a retrospective analysis of aid operations in response to Hurricane Katrina.

The study's results are the first to bridge theory and practice on supply chain resilience. By utilising the unique humanitarian aid disaster supply chain management context, a two-way knowledge and learning flow between humanitarian and commercial organisations is established.

The purpose of this paper is to identify the issues and challenges in humanitarian logistics and to develop a framework for effectively managing the humanitarian logistics in disaster relief supply chain operations in India.

This paper presents a framework to manage humanitarian logistics effectively in disaster management through qualitative analysis. First, the author examines the challenges facing the humanitarian logistics and supply chain through the reviews of the literature on various disasters. Then, the author presented a framework based on the best practices and initiatives taken worldwide in the preparedness and response stage of the humanitarian supply chain to manage and reduce the aftermath of any disaster in context to India.

A framework has been developed to manage humanitarian logistics in the disaster relief operation, which would improve the humanitarian supply chain in India and help to effectively manage natural disasters in the preparedness and response stage at the state and district levels.

The paper mainly emphasises on the preparedness and response stage of disaster supply chain management in Indian context.

None of the disaster incidents can be stopped from taking place, but the impact can be minimised by proper preparedness and effective response during the operations of humanitarian logistics. With this hope, the framework has been developed, which if implemented would help to plan and manage any disaster incident in an effective manner, which ultimately would save millions of lives and cost in terms of infrastructure, property, assets etc.

As natural disaster incidents are occurring frequently in Indian states, there is an urgent need for a framework to manage the logistics operations effectively and efficiently during any disaster relief operations. Limited literature is found on developing and presenting a framework focusing on the preparedness and response phase of disaster supply chain management in context to India. Hence, this paper is believed to be the first to fulfil this gap with main emphasis on the preparedness and response stage of disaster supply chain management in Indian scenario.

Humanitarian logistics is an essential element of disaster management and it presents many challenges due to the unique disaster relief environment. The paper describes the main features and challenges of humanitarian logistics and the potential role of technology. Radio frequency identification (RFID) technology has been increasingly considered to improve the efficiency of supply chain management. Security is an important requirement for disaster management. The purpose of this paper is to propose and describe the application of secure RFID technology to improve the management and security of relief supply chains.

The paper describes the challenges of disaster of supply chains and how secure RFID can address them in the overall framework of disaster management.

The paper describes the efficiency of the crypotgraphic algorithm used in the design of the secure RFID, the system architecture and the deployment workflow.

The establishment of a logistics tracking framework based on secure RFID has the potential to greatly increase the effectiveness of future emergency crises response operations.

The originality of the paper is to present the application of secure RFID to the context of disaster management, where the security of supply chains is often not addressed.

Terrorist attacks, natural disasters, and regional power outages from the past several years have all highlighted the low levels of disaster preparedness that exist at many firms. Supply chain disruptions caused by external events can have a significant financial and operational impact on firms not properly prepared. Therefore, improving disaster preparedness in supply chains is critical. One critical component of disaster management planning in supply chains is the storage of emergency supplies, equipment, and vital documents that will be needed in times of crisis. The goal of this paper is propose a decision process for establishing an efficient network of secure storage facilities that can effectively support multiple supply chain facilities.

The authors use the five‐stage disaster management process for supply chains as the framework for a proposed decision process for secure site locations. The decision process combines recommendations from FEMA's Disaster Management Guide with a set cover location model from the location sciences field to help establish a network of secure site locations.

Storing emergency supplies at every supply chain facility can be cost‐prohibitive. In addition, gaining access to emergency supplies that are stored at each facility may be prevented by some external events, such as fires or hurricanes, because items stored on‐site are destroyed or are inaccessible. Therefore, the proposed secure site selection process can balance operational effectiveness and cost‐efficiency by identifying the minimum number and possible locations of off‐site storage facilities.

One important contribution of the paper is that it combines recent recommendations for disaster preparedness in supply chains with established models in location sciences research to create an interdisciplinary solution to an important supply chain issue. Even though the storage of important documents, equipment, and materials is only one small part of disaster management planning, it is hoped that this model will do its share in helping supply chains become better prepared for the next emergency.

The purpose of this paper is to investigate the knowledge existing in the literature on supply chain resilience for identifying the supply chain practices adopted for securing resilience in given uncertain event.

A systematic literature review is conducted to identify 84 conceptual and empirical studies. The research findings are synthesized in categories of uncertain events, supply chain practices and outcomes.

A set of propositions linking the uncertain events, mechanisms and supply chain resilience improvement is developed. It was found that the sufficient conditions for resilience under unexpected disasters are substantially different from those required for resilience against disruptions caused by internal practices or complexity.

Practitioners can benefit from the knowledge of interventions and mechanisms to improve their supply chain resilience in the face of different unpredictable situations. The contribution of this paper is twofold: first, it develops an actionable theory of supply chain resilience by developing testable propositions in the context of supply chains exposed to uncertainties resulting from unexpected disruptions, complexity of supply chains and adoption of certain internal practice; second, the paper highlights the key shortcomings of existing literature and provides opportunities for further research and improvement.

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.

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.

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.

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.

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.

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.

Humanitarian Supply chain Management (HSCM) is concerned with managing the efficient flow of aid materials, information and services to reduce the impact of disaster on human lives. Post 2004 Indian Ocean tsunami, the relief activities in India were not planned and executed properly. The purpose of this paper is to analyse the present situation existing to tackle a disaster, identify the gaps and suggest few mechanisms to overcome the gaps.

A situation‐actor‐process (SAP) learning‐action performance (LAP) model has been applied to analyze the HSCM activities in India. The “situation” represents the present scenario of the organization. Actors are the participants, influencing the situation to evolve different business processes. Based on SAP, various “learning” issues have been analyzed which lead to suitable “action” to be followed by impact of SAP on the “performance” of the supply chain of the organization.

Various issues that need attention are identification of the supply sources, co‐ordination among the actors, importance of a central authority, role of experienced SCM professionals, scarcity and abundance of the resources may be seen together, supply chain understanding in the disaster management and necessity of a financial supply chain.

The general model of SAP‐LAP is used to explain various issues of HSCM in a managerial context.

The SAP‐LAP model presents the situation of HSCM in India to actors who may initiate the relief operations. It also helps in identifying issues in the current method of operation. The synthesis of SAP leads to LAP, which helps in suggesting the improvement actions or the learning from the present situation, actors and processes.

The paper presents a novel approach to analyze qualitative issues of HSCM in a single model comprising various perspectives on activities undertaken during the relief operations, both prior to disaster and post disaster.

As organizations increase their dependence on supply chain networks, they become more susceptible to their suppliers’ disaster risk profiles, as well as other categories of risk associated with supply chains. Therefore, it is imperative that supply chain network participants are capable of assessing the disaster risks associated with their supplier base. The purpose of this paper is to assess the supplier disaster risks, which are a key element of external risk in supply chains.

The study participants are 15 automotive casting suppliers who display a significant degree of disaster risks to a major US automotive company. Bayesian networks are used as a methodology for examining the supplier disaster risk profiles for these participants.

The results of this study show that Bayesian networks can be effectively used to assist managers in making decisions regarding current and prospective suppliers vis-à-vis their potential revenue impact as illustrated through their corresponding disaster risk profiles.

A limitation to the use of Bayesian networks for modeling disaster risk profiles is the proper identification of risk events and risk categories that can impact a supply chain.

The methodology used in this study can be adopted by managers to assist them in making decisions regarding current or prospective suppliers vis-à-vis their corresponding disaster risk profiles.

As part of a comprehensive supplier risk management program, organizations along with their suppliers can develop specific strategies and tactics to minimize the effects of supply chain disaster risk events.

The purpose of this paper is to review the literature to describe the current practices and research trends in managing supply chains in crisis. This paper also provides directions for future research in supply chain crisis management.

Articles published prior to August 2008 are analyzed and classified.

A unique five‐dimensional framework to classify the literature is provided. The study reveals that there has been extensive research done in this area in recent years. Much of the research is focused on proactive approaches to crisis in supply chains. Management during various internal crises such as supplier bankruptcy or loss of key clients is a new, challenging area that requires further investigation.

This paper does not include articles that are not peer‐reviewed.

This paper will serve as a guide to supply chain managers who would like to know how crises, disasters, and disruptions in supply chains have been handled in existing academic literature.

To the best of the authors' knowledge, this is the first literature review in the area of managing supply chains during crisis that looks at both SCM and operations research/management science journals. This paper identifies the various methods that have been used to handle crisis situations and provides a framework to classify the literature. Additionally, this paper identifies gaps in the literature that can provide ideas for future research in this area.

Number of disastrous events are rising globally, and it is important to manage the humanitarian supply chain management process to assist the disaster affected individuals in terms of relief operations. Effective relief operations can help to recover the materialistic loss due to any disaster. But there is a paucity of studies regarding this issue for developing countries. This study, hence, inspected the factors that affect the disaster supply chain management (DSCM) processes for relief operations in Bangladesh.

This study examined the factors affecting relief operations through a qualitative analysis. This study used thematic analysis. Interviews were conducted with related supply chain individuals who were triangulated by data from related publications and blogs.

The study showed that sustainable DSCM for relief operations in Bangladesh require addressing few factors as organizational capabilities, warehousing locations and inventory management, infrastructure facility, coordination among partners, government and local authority support to create a transparent, efficient, effective and sustainable DSCM process for relief operations in Bangladesh. The system loopholes can be identified and rectified on the base of these factors.

The number of interview respondents was limited to twenty who were selected randomly from four organizations. To create a sustainable disaster supply chain management (SCM) for relief operations few factors were considered as predominant factors in Bangladesh context to generalize the developing country contexts and other factors were not considered. Therefore, for farther humanitarian research, the model of this study can be used for quantitative research and the hypotheses can be tested empirically to get more acute findings.

As this study identifies the factors which can help to create a sustainable DSCM system for relief operations, hence practically, Bangladesh humanitarian SCM agencies will be beneficial from this study. They can easily recognize the factors need to be considered to create a sustainable DSCM process for relief operations.

This is a unique study carried out to examine the factors affecting DSCM process for relief operations in Bangladesh.