System Dynamics Base-Model of Humanitarian Supply Chain (HSCM) in Disaster Prone Eco-Communities of India

Critical Intervention

Humanitarian Supply Chain is central to the capacity building in the eco-communities which are located in the disaster prone regions. In this study, an attempt has been made to develop a system dynamics model of humanitarian supply chain in order to capture causal dynamics and inter linkages within the system under investigation and suggest some critical intervention strategies for enhancing overall performance. An economic sub-sector base model for the Indian tribal communities has been calibrated and used for simulation analysis as a reference case-study. Conclusion & Results: It has been established through the simulation results that the success of short-term relief work lies in the long-term capacity building and, is critical to the performance of both current and future humanitarian operations and programs. The scenarios studied in this paper are with respect to those crucial decision environments and their underlying complexities which create an inherent endogenous dynamics perpetuated by various stakeholders giving functional response towards the humanitarian supply chain.

System Dynamics Base-Model of Humanitarian Supply Chain (HSCM) in Disaster Prone Eco-Communities of India

International Journal of System Dynamics Applications ◽

10.4018/ijsda.2017070102 ◽

2017 ◽

Vol 6 (3) ◽

pp. 20-37 ◽

Cited By ~ 5

Author(s):

Sanjay Bhushan

Keyword(s):

Supply Chain ◽

System Dynamics ◽

Capacity Building ◽

Simulation Analysis ◽

Reference Case ◽

Humanitarian Operations ◽

Tribal Communities ◽

Critical Intervention

System Dynamics Investigation of Capacity Building by Humanitarian Supply Chain in Disaster Prone Eco-Communities of India

SSRN Electronic Journal ◽

10.2139/ssrn.2303641 ◽

2013 ◽

Author(s):

Sanjay Bhushan ◽

Devanath Tirupati

Keyword(s):

Supply Chain ◽

System Dynamics ◽

Capacity Building ◽

Exploring critical success factors (CSFs) of humanitarian supply chain management (HSCM) in flood disaster management (FDM)

Journal of Humanitarian Logistics and Supply Chain Management ◽

10.1108/jhlscm-01-2021-0003 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Isaac Sakyi Damoah

Keyword(s):

Supply Chain ◽

Supply Chain Management ◽

Disaster Management ◽

Success Factors ◽

Flood Disaster ◽

Chain Management ◽

Content Type ◽

Humanitarian Operations ◽

Critical Success ◽

PurposeThis study explores the critical success factors (CSFs) in humanitarian supply chain management (HSCM) by focussing on flood disaster management (FDM) in Ghana.Design/methodology/approachAn in-depth semi-structured interview and questionnaire surveys in a sequential data collection approach were used to collect data from definitive stakeholders of humanitarian organisations. The data was analysed using exploratory factor analysis (EFA), confirmatory factors analysis (CFA) and structural equation modelling (SEM) techniques.FindingsSeventy-four factors were identified as success factors of HSCM of flood disaster management. However, 41 of these factors were statistically significant and considered as critical. In descending order, these factors relate to management practices, education and training, stakeholder involvement and cooperation, infrastructure, innovation and technology, materials and resources, administrative practices, socio-cultural and economic. Whilst some factors are internal to the humanitarian organisations, others are external factors that are beyond the control of humanitarian organisations.Research limitations/implicationsEven though this study offers empirical results that could guide policymakers in their decision-making about humanitarian operations, care needs to be taken since the data is within one country and within a specific disaster context – hence, policymakers need to consider the local contextual dynamics. Future studies could look at different disasters context to make a comparative analysis of various types of disaster operations.Practical implicationsInstitutions such as World Health Organization, Red Cross organisations and UN seeking to curbs global-warming-related disasters and the reduction of the effects of flood disaster can use findings as a guide during the formulation of HSCM policies and strategies.Originality/valueUnlike previous studies of humanitarian operations that focussed extensively on theoretical expositions, simulations, conceptual frameworks and models, this present study offers empirical evidence of humanitarian operations in the context of SCM. Further, by highlighting on the HSCM CSFs, this study contributes to disaster reduction and their effects on humanity in the context of FDM. This research could be used as guide by governments and FDM organisations to make informed decisions on SCM areas to focus the most during FDM.

Designing Sustainable Humanitarian Supply Chains

10.31219/osf.io/m82ar ◽

2020 ◽

Author(s):

Helen S.Y. CHEN

Keyword(s):

Supply Chain ◽

Supply Chains ◽

Design Science ◽

Sustainable Supply Chain ◽

Bottom Line ◽

Sustainable Operations ◽

Sustainability Performance ◽

Humanitarian Supply Chains ◽

Humanitarian Operations ◽

This is a multidisciplinary study on operationalizing the UN Sustainable Development Goals (SDGs) in humanitarian operations through supply chain management methods. It is motivated by the belief that for SDGs to be pursued in humanitarian operations, they need to be contextualized in the idiosyncratic settings and approached systematically. Towards this end, this paper develops and operationalizes a strategic sustainable humanitarian supply chain framework using the design science approach. The study starts with analyzing the humanitarian operations characteristics and identifying the critical supply chain capabilities required for sustainable operations. It then re-conceptualizes sustainability in the humanitarian context and proposes a formula of sustainability performance in humanitarian operations. After that, the humanitarian supply chain structural components are delineated and decomposed into operational elements in order to identify the configurations that lead to optimal sustainability performance. The findings then converge into a framework to enable the identification of context-contingent sustainable supply chain strategies in humanitarian operations. This paper makes three contributions to SDG research: 1) it contextualizes sustainability in the humanitarian setting through postulating the concept and formula of net sustainability value as the single bottom line in humanitarian operations; 2) it increases operationality of SDGs in the humanitarian sector through the design of a strategic framework for sustainable humanitarian supply chains; and 3) it increases the interdisciplinarity of SDG research by using a generic supply chain framework that can be applied to integrate multilevel multidisciplinary sustainability studies.

Handbook of Computational Intelligence in Manufacturing and Production Management ◽

Towards a Methodology for Monitoring and Analyzing the Supply Chain Behavior

10.4018/978-1-59904-582-5.ch010 ◽

2011 ◽

pp. 186-208

Author(s):

Reinaldo Moraga ◽

Luis Rabelo ◽

Alfonso Sarmiento

Keyword(s):

Neural Networks ◽

Sensitivity Analysis ◽

Supply Chain ◽

System Dynamics ◽

Eigenvalue Analysis ◽

Background Information ◽

Short And Long Term ◽

And Performance

In this chapter, the authors present general steps towards a methodology that contributes to the advancement of prediction and mitigation of undesirable supply chain behavior within short- and long- term horizons by promoting a better understanding of the structure that determines the behavior modes. Through the integration of tools such as system dynamics, neural networks, eigenvalue analysis, and sensitivity analysis, this methodology (1) captures the dynamics of the supply chain, (2) detects changes and predicts the behavior based on these changes, and (3) defines needed modifications to mitigate the unwanted behaviors and performance. In the following sections, some background information is given from literature, the general steps of the proposed methodology are discussed, and finally a case study is briefly summarized.

Measuring humanitarian supply chain performance in a multi-goal context

Journal of Humanitarian Logistics and Supply Chain Management ◽

10.1108/jhlscm-07-2015-0028 ◽

2015 ◽

Vol 5 (3) ◽

pp. 300-324 ◽

Cited By ~ 29

Author(s):

Ira Haavisto ◽

Jarrod Goentzel

Keyword(s):

Supply Chain ◽

Humanitarian Assistance ◽

Supply Chain Performance ◽

Content Type ◽

Humanitarian Supply Chains ◽

Humanitarian Operations ◽

Setting Theory ◽

Definition Of ◽

Purpose – The purpose of the paper is to deepen the understanding of supply chain performance objectives in the humanitarian context by striving to understand the underlying goals and conceptual variables behind the measurement of performance, such as efficiency. Design/methodology/approach – The research is an in-depth case study with one humanitarian organization. The data are gathered with mixed methods over a two-year period. Interviews were conducted in August 2010 and April 2012, and a survey conducted in October 2012. Findings – Misalignments are detected among different groups in humanitarian operations and between their goals and processes. These misalignments could possibly be corrected through long-term thinking in short-term operations by considering sustainability aspects throughout humanitarian assistance, for example. In addition, efficiency was a commonly identified objective in the case organization, although the definition varied widely and extended beyond the traditional definition of productivity to include planning, accountability and quality. Practical implications – Better communication and definition of terms is necessary to align goals and the power hierarchy in humanitarian supply chains, where operations seem to be structured more according to donor requirements then beneficiary needs. Originality/value – This is an in-depth case study, applying goal-setting theory to study supply chain performance. The study further responds to the public “aid efficiency” discussion by striving to recognize how efficiency is understood and how it can be measured in a humanitarian supply chain.

Understanding Humanitarian Supply Chain Through Causal Modelling

South Asian Journal of Business and Management Cases ◽

10.1177/2277977920958084 ◽

2020 ◽

Vol 9 (3) ◽

pp. 317-329

Author(s):

Vinaytosh Mishra ◽

Mohita G. Sharma

Keyword(s):

Supply Chain ◽

Social Welfare ◽

System Dynamics ◽

Sudden Onset ◽

Supply Chain System ◽

Disaster Relief Operations ◽

Policy Measures ◽

Relief Operations ◽

Slow Onset

Research Questions: Does being in the social welfare slow-onset disaster quadrant help in garnering resources during the sudden disaster? Theory: Humanitarian supply chain has been traditionally explained as a system involved in mobilizing people, resources, skills and knowledge for disaster relief operations. The established classification of disasters includes natural and man-made disasters. These are further classified into sudden- and slow-onset disasters. Social welfare supply chains happen to be a distinctive type of humanitarian supply chain working in slow-onset disasters such as poverty and drought. To understand the complex systems like humanitarian supply chain, system dynamics modelling is used. Type of the Case: Study of a phenomenon. Basis of the Case: In this study, we proposed a humanitarian supply chain case and system dynamics model that works as a social welfare supply chain. In the face of a calamity, operations are ramped up for the sudden-onset conditions. After the initial phase is over, operations are ramped down and again become stable. Protagonist: Absent. Findings: The study tests the results of four policy measures (a) increasing goodwill, (b) decreasing stringent directive, (c) increasing donor attitude and (d) a combination of all of these measures. These measures are additive in nature, and a humanitarian supply chain can use these policy measures to respond to a sudden disaster. Discussions: The case discusses various policy measures taken by the humanitarian supply chain during a sudden disaster. It also explores whether being in the slow-onset quadrant helps tack sudden disasters like earthquakes or terrorist attacks. An organization can start with decreasing the stringent measures in the case of a sudden disaster. Increasing donor attitude and goodwill requires long-term outreach efforts.

Modeling the enablers of humanitarian supply chain management: a hybrid group decision-making approach

Benchmarking An International Journal ◽

10.1108/bij-03-2020-0093 ◽

2020 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Sachin Agarwal ◽

Ravi Kant ◽

Ravi Shankar

Keyword(s):

Supply Chain ◽

Supply Chain Management ◽

Relative Significance ◽

Chain Management ◽

Content Type ◽

Humanitarian Operations ◽

Hybrid Framework ◽

Humanitarian Supply Chain Management

The Impact ◽

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.

Delivering in a moving world…looking to our supply chains to meet the increasing scale, cost and complexity of humanitarian needs

Journal of Humanitarian Logistics and Supply Chain Management ◽

10.1108/jhlscm-10-2017-0048 ◽

2018 ◽

Vol 8 (4) ◽

pp. 518-532 ◽

Cited By ~ 6

Author(s):

Rebecca Lewin ◽

Maria Besiou ◽

Jean-Baptiste Lamarche ◽

Stephen Cahill ◽

Sara Guerrero-Garcia

Keyword(s):

Supply Chain ◽

Design Methodology ◽

Global Leadership ◽

Content Type ◽

Humanitarian Operations ◽

Critical Issues ◽

Original Report ◽

Cost Efficient ◽

First World

Purpose The purpose of this paper is to highlight the importance of the humanitarian supply chain (HSC) as the backbone of the humanitarian operations. It further proposes feasible ways to overcome some of the main supply chain challenges identified by practitioners to achieve cost efficient and effective operations. Design/methodology/approach The challenges that the HSC faces and proposed changes to overcome them are gathered from interviews with nearly 40 practitioners. Findings Five critical issues that affect the future of HSCs are identified along with recommendations to address them. Social implications It supports the fulfillment of the agenda for humanity’s five core responsibilities: global leadership to prevent and end conflict, uphold the norms that safeguard humanity, leave no one behind, change people’s lives – from delivering aid to ending need, and invest in humanity. Originality/value The original report was presented at the first World Humanitarian Summit in Istanbul in May 2016. The reader can find it via the following link www.logcluster.org/sites/default/files/whs_humanitarian_supply_chain_paper_final_24_may.pdf

Advances in Systems Analysis, Software Engineering, and High Performance Computing - Handbook of Research on Modeling, Analysis, and Control of Complex Systems ◽

Indigenous Knowledge Management and Humanitarian Supply Chain for Disaster Mitigation and Sustainable Development in the Eco Communities of India

10.4018/978-1-7998-5788-4.ch009 ◽

2021 ◽

pp. 211-249

Author(s):

Sanjay Bhushan ◽

Saurabh Mani

Keyword(s):

Supply Chain ◽

Indigenous Knowledge ◽

Social Systems ◽

Intervention Strategies ◽

Disaster Mitigation ◽

Dynamics Modeling ◽

Resilient Communities ◽

Critical Intervention ◽

Sustainable Capacity

The shift in focus from hazards to underlying vulnerabilities has provided disaster managers with a richer understanding of the factors that erode the coping capacities of communities and social systems. This chapter presents ideas such as a globally shared digital platform developed as a functional web-portal branded—A.A.D.I.GYAN—augmenting action for disaster management through indigenous knowledge-gyan. Humanitarian supply chain (HSC), on the other hand, plays a central role to any developmental program meant for sustainable capacity building in the eco-communities. The chapter also highlights that HSC and community-based IK resource management can collectively promote more resilient communities promoting social, economic, and environmental equity and ethical imperatives. Towards this end, system dynamics modeling and simulation can be invoked to capture and simulate the causal dynamics of the inter linkages prevailing within the system and suggest some critical intervention strategies for policymakers.