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Purpose The purpose of this paper is to examine and compare extant framework in humanitarian supply chain management (HSCM) and to propose a framework on humanitarian supply chain (HSC) performance measurement based on the content, context and process. Design/methodology/approach The structured keywords, namely humanitarian supply chain (HSC), humanitarian logistic (HL), humanitarian relief chain (HRC) and humanitarian chain (HC) as an exact phrase were searched in the title, abstract and keywords in the academic database. A total of 66 peer-reviewed articles were selected for analysis purpose that reports framework from the reviewed literature. These selected frameworks are categorized in dimensions, namely framework novelty, framework source, recognize elements/constructs of framework, comparative analysis of the framework and in-depth study of HSCM performance measurement. Findings The analysis reveals that the majority of these developed frameworks are novel and academic based. Case study is most prominent research methodology in the development of HSCM framework. Lack of coordination among humanitarian stakeholders is the major challenge in the empirical implementation of framework. This study proposes future research trend toward a unified HSCM framework that will facilitate to uncover the coherent set of elements/constructs in the field of HSCM. Research limitations/implications This study considers peer-reviewed articles published in English language, and excludes conference papers, working articles, technical data/reports and book chapters. Practical implications This study categorizes new dimension for framework analysis and proposed an HSC performance measurement framework which gives new insights to the academicians, practitioners and policy makers for future work. Social implications This examination gives the establishment to facilitate investigation of viable, efficient and effective HSCM, and detail opportunities for practices. Originality/value This study critically analyzes 66 frameworks under the different criteria to identify research gap and trends. Furthermore, this study proposes the HSC performance measurement framework.

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PurposeThis paper intends to explore and appraise the humanitarian supply chain management enablers (HSCMEs) for efficient and effective humanitarian operations. This research aims to analyze the interaction of enablers for humanitarian supply chain management (HSCM) using a proposed hybrid framework consists of fuzzy Delphi (FD), interpretive structural modeling (ISM)–matriced impacts croises multiplication appliquee a un classement (MICMAC) and revised Simos approach.Design/methodology/approachThis research is deliberate to identify 28 HSCMEs through a literature review and experts' opinions; out of which 20 HSCMEs are selected using FD. ISM is applied to know contextual relationship among the selected HSCMEs for developing a hierarchical model. The MICMAC analysis classifies the HSCMEs based on driving power and dependence power to validate the developed hierarchical ISM structure. The revised Simos technique is used to prioritize the HSCMEs to access its relative significance in humanitarian operations.FindingsThe finding of the analysis suggests that government policy and leadership support obtained the highest priority, having high driving power and low dependence power is significantly strategic and emerged as the leading driver for the HSCM implementation.Research limitations/implicationsISM model presents an insight into interrelationship among HSCMEs, but this cannot quantify the impact of each HSCMEs.Practical implicationsDisaster relief aid agencies and stakeholders may focus on the enablers having high driving power and higher weight in designing and executing an effective and efficient humanitarian supply chain and to improve their activities and strategies of HSCM.Social implicationsThis research helps humanitarian logisticians and humanitarian organizations to make better decisions to improve their operational performance in pre and postdisaster phases.Originality/valueThis paper explores the application of proposed hybrid framework to analyze the HSCMEs that can be considered as the original contribution.

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Purpose This study proposed a mathematical model for decision-making in the pre- and post-disaster phases. This research aims to develop a mathematical model for three important fields in the context of humanitarian logistics; stock prepositioning, facility location and evacuation planning in the humanitarian supply chain (HSC) network design. Design/methodology/approach This study applied three optimization techniques; classical approach (CA), pattern search algorithm (PSA) and Genetic Algorithm (GA) to solve the proposed mathematical model. The proposed mathematical model attempts to minimize the total relief items supply chain cost and evacuation chain cost of the HSC. A real case study of cyclone Fani, 2019 in Orissa, India is applied to validate the proposed mathematical model and to show the performance of the model. Findings The results demonstrate that heuristic approach; PSA performs better and optimal solutions are obtained in almost all the cases as compared to the GA and CA. Research limitations/implications This study is limited to deterministic demands in the affected regions, and different scenarios of the disaster events are not considered. Social implications The finding reveals that the proposed model can help the humanitarian stakeholders in making decisions on facility location, relief distribution and evacuation planning in disaster relief operations. Originality/value The results of this study may offer managerial insights to practitioners and humanitarian logisticians who are engaged in HSC implementation.

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