Humanitarian relief logistics: an exploratory study for need and importance of performance measurement system

Dangi, Hamendra Kumar; Bardhan, Amit Kumar; Narag, A.S.

doi:10.1504/ijlsm.2012.048630

Cited by 4 publications

(2 citation statements)

References 13 publications

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“…The challenge faced by the logistic manager is to achieve operational excellence under a challenging environment with demand uncertainty and extreme time pressure. Factors like proper need assessment, inter-agency coordination, preparedness level and behavioural factors like leadership and motivation can tremendously impact performance (Dangi, Bardhan & Narag, 2012). The objective of the present study is to establish a relationship between such critical success factors (CSFs) for relief logistics with the performance of overall relief effort.…”

Section: Introductionmentioning

confidence: 99%

Drivers and Indicators of Performance in Relief Chain: An Empirical Study

Bardhan

Dangi

2016

Global Business Review

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Relief and rehabilitation is an important component of disaster management. Success of this humanitarian intervention is dependent upon a combination of factors; logistics is among the important ones. The purpose of this article is to discuss key drivers of performance while managing disaster relief logistics. This research uses two-stage research designs. The first stage incorporates exploratory research through interviews with experts and focus group discussions. In the second stage, a survey was conducted among those affected by the Kosi floods (2008) in Bihar. A non-random sampling plan was adopted. Results show that there is empirical evidence that the key drivers identified in the present research positively influence the performance of relief operations. This work can also help practitioners and policy makers identify important parameters related to relief logistics. The study was confined to India and only focuses on sudden onset disasters.

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Section: Introductionmentioning

confidence: 99%

Drivers and Indicators of Performance in Relief Chain: An Empirical Study

Bardhan

Dangi

2016

Global Business Review

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“…It is also a discipline to prepare for disasters before they happen, responding to them immediately, supporting, and reconstructing the affected areas after disasters have occurred. The disaster management continuum model (Dangi et al, 2012) usually classifies the relevant emergency management activities into a continuous cycle of the four phases of Preparedness, Response, Recovery, and Mitigation. Figure 1 illustrates the cycle of these four phases, followed by the brief explanation of each phase based on the description of Emergency Management and Homeland Security Office Website at City of Providence, RI (Four Phases of Emergency Management ( 2013)).…”

Section: Introductionmentioning

confidence: 99%

Emergency relief supply chain design and trade-off analysis

Hong

Jeong

Feng

2015

Journal of Humanitarian Logistics and Supply Chain Management

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Purpose -Emergency relief supply chain (ERSC) design is an important strategic decision that significantly affects the overall performance of emergency management activities. The performance of an ERSC can be measured by several performance measures some of which may conflict with each other. The purpose of this paper is to propose an ERSC design framework by simultaneously taking total logistics cost (TLC), risk level, and amount of demands covered in an ERSC into consideration. Design/methodology/approach -The study considers TLC of an ERSC as the sum of logistics cost from distribution warehouses (DWHs) to Break of Bulbs (BOBs) and from BOBs to affected neighborhoods. The risk level of an ERSC is measured by estimating the expected number of disrupted relief items (EDI) distributed from DWHs through BOBs to neighborhoods. The covered demand (CDM) is defined as total populations that are supported in case of an emergency, the populations within the maximal coverage distance (MCD) from relief facilities. Based on these performance measures, the authors formulate a Goal Programming (GP) model to distribute emergency relief items to affected locations. Ideal values of these performance measures are decided, and the GP model seeks to minimize the weighted sum of the percentage deviations of those performance measures from the ideal values. The relationships among performance measures have been thoroughly analyzed through detailed trade-off studies under two realistic case studies by changing weights of each performance measure. Findings -Three performance measures are interdependent over specific values of weights. TLC and EDI have a trade-off relationship when the weight on each measure increases. TLC and CDM also have a trade-off relationship when the weight on EDI increases. However, this relationship becomes less apparent when the MCD increases. EDI and CDM also have the same trade-off relationship when the weight on TLC changes. Therefore, decision makers should thoroughly analyze these trade-off relationships when they design ERSCs. Overall, the study identified that an ERSC with higher MCD outperforms one with lower MCD in terms of TLC, EDI, and CDM. Originality/value -The study presents a design framework to generate more balanced ERSCs by simultaneously taking three conflicting performance measures into consideration, and demonstrated the feasibility of the framework through realistic case studies. The trade-off analysis provides useful insights and theoretical knowledge to researchers and practitioners in the discipline of emergency logistics management. The results from this study are expected to contribute to the development of more balanced ERSCs.

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A decision-making tool for the determination of the distribution center location in a humanitarian logistics network

Taouktsis,

Zikopoulos

2024

Expert Systems with Applications

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Humanitarian relief logistics: an exploratory study for need and importance of performance measurement system

Cited by 4 publications

References 13 publications

Drivers and Indicators of Performance in Relief Chain: An Empirical Study

Drivers and Indicators of Performance in Relief Chain: An Empirical Study

Emergency relief supply chain design and trade-off analysis

A decision-making tool for the determination of the distribution center location in a humanitarian logistics network

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