Identification and Modelling of Critical Success Factors of a Humanitarian Supply Chain
01 Jan 2016-pp 33-50
TL;DR: In this article, the authors present an approach to identify qualitative factors of HSCM, in terms of food supply and involved logistics, and models the hierarchical relationship among these using Interpretive Structural Modelling (ISM).
Abstract: Disaster is a disruption in the effective conduct of operations of an individual, system, organisation or nation. It may result into loss of infrastructure, resources and human lives. Generally, it adversely affects the economic well-being. Occurrence of many disasters till date, man-made or natural, has opened up a large number of issues that need careful attention. Recovery from a disaster, which affects human being, is a major challenge in the Humanitarian Supply Chain Management (HSCM). Even though the occurrence of these events could not have been avoided, the impact could be reduced by different means including effective functioning of HSCM. This paper presents a novel approach to identify qualitative factors of HSCM, in terms of food supply and involved logistics, and models the hierarchical relationship among these using Interpretive Structural Modelling (ISM). The purpose of this paper is to consider the factors directly affecting the relief operations within an HSCM and, also, the hierarchical order in which these factors are to be managed, based on their criticality, driving power and dependence. ISM has been applied for the identification of this order. This paper provides important insights into the management of strategic, operational and performance variables of HSCM.
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TL;DR: In this paper , a set of strategic suppliers is evaluated based on green capabilities by using an integrated fuzzy Best Worst Method (FBWM) with the other two techniques, namely COPRAS (Complex Proportional Assessment of Alternatives) and WASPAS (Weighted Aggregated Sum-Product Assessment).
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TL;DR: In this article, the authors identify the stakeholders' requirements and critical success factors (CSFs) for the sustainability initiative in SC during this pandemic situation, and a total of 16 CSFs are identified by taking inputs from experts and decision-makers.
27 citations
Dissertation•
09 Apr 2018
TL;DR: This research work seeks to introduce the sustainability notion to the management of the HSC with a contribution based on an Operational Research Algorithm, which permits to integrate the sustainable performance on decision making with an interactive approach.
Abstract: The Humanitarian supply Chain is a key element to enhance a performing response to humanitarian crisis. Because of the internal and external pressure, Humanitarian Organizations (HO) has done efforts during last decades to improve the crisis response in terms of effectiveness and efficiency. However, the performance is challenged by the increasing gap between funding and needs. The main donors ask for more transparency and accountability. Moreover, the pressure from the international community is pushing HO to integrate Sustainability challenges on a near future. Is in this context, and field research results, that the difficulties to consider sustainability on HSC decision-making. The lack of Decision Support Systems and a sustainability culture specific to the HSC have been identified as break to improve the planning of sustainable humanitarian operations. This research work seeks to introduce the sustainability notion to the management of the HSC. The approach followed is the development of a decision support system based on performance, to plan the HSC operations. Three research directions have been explored: (a) How to gather an exhaustive knowledge of a HSC, for both field research and development of DSS? The proposed contribution is a Meta-Model of the HSC, for field research porpoise and for developing adequate Decision Support Systems. (b) What sustainability means in HSC context? Based on a literature review and field research, a framework is established to define the HSC sustainable performance. (c) How to make sustainable decisions during humanitarian response? This contribution is based on an Operational Research Algorithm, which permits to integrate the sustainable performance on decision making with an interactive approach. The thesis illustrates the three contributions with use cases based on the International Federation of the Red Cross (IFRC).
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Cites background from "Identification and Modelling of Cri..."
...In the context of HSC, it is not a well-developed approach: however, (Fulzele et al. 2016; Pettit and Beresford, 2009) identified it as a success factor in measuring and improving performance, and (Cozzolino et al....
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References
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TL;DR: This paper builds on the idea that private sector logistics can and should be applied to improve the performance of disaster logistics but that before embarking on this the private sector needs to be convinced that it can be applied.
Abstract: This paper builds on the idea that private sector logistics can and should be applied to improve the performance of disaster logistics but that before embarking on this the private sector n...
1,398 citations
TL;DR: The literature available on IT in SCM has been classified using suitable criteria and then critically reviewed to develop a framework for studying the applications of IT inSCM and some future research directions are indicated.
1,157 citations
TL;DR: In this article, a framework for planning and carrying out logistics operations in disaster relief is presented, which distinguishes between actors, phases, and logistical processes of disaster relief, while recognizing the need of humanitarian logistics to learn from business logistics.
Abstract: Purpose – This paper aims to further the understanding of planning and carrying out logistics operations in disaster relief.Design/methodology/approach – Topical literature review of academic and practitioner journals.Findings – Creates a framework distinguishing between actors, phases, and logistical processes of disaster relief. Drawing parallels of humanitarian logistics and business logistics, the paper discovers and describes the unique characteristics of humanitarian logistics while recognizing the need of humanitarian logistics to learn from business logistics.Research limitations/implications – The paper is conceptual in nature; empirical research is needed to support the framework. The framework sets a research agenda for academics.Practical implications – Useful discussion of the unique characteristics of humanitarian logistics. The framework provides practitioners with a tool for planning and carrying out humanitarian logistics operations.Originality/value – No overarching framework for humanit...
1,030 citations
TL;DR: In this article, an interpretive structural model (ISM) is developed to show the inter-relationship of different criteria and their levels of importance in the vendor selection process, revealing that attitude and willingness for business and after sales service are as important factors as quality, delivery and practice.
Abstract: Vendor selection is one of the most important activities of a purchasing department. Traditionally, vendors are selected for their ability to meet the quality requirement, delivery performance and the price offered. However, as they are selected not only to meet the immediate requirement but also future needs, one needs to consider many other factors when selecting a reliable vendor. Analyses some of the most important criteria which have been classified into four categories: autonomous, dependent, linkage and driver depending on their driver power and dependence. Develops an interpretive structural model (ISM) to show the inter‐relationship of different criteria and their levels of importance in the vendor selection process. Reveals that “attitude and willingness for business” and “after sales service” are as important factors as quality, delivery and practice. These criteria are dependent on all the others. This analysis could provide a meaningful analytical base in the vendor selection process.
902 citations
TL;DR: This study proposes a two-stage stochastic programming model to plan the transportation of vital first-aid commodities to disaster-affected areas during emergency response, and a multi-commodity, multi-modal network flow formulation is developed to describe the flow of material over an urban transportation network.
Abstract: This study proposes a two-stage stochastic programming model to plan the transportation of vital first-aid commodities to disaster-affected areas during emergency response. A multi-commodity, multi-modal network flow formulation is developed to describe the flow of material over an urban transportation network. Since it is difficult to predict the timing and magnitude of any disaster and its impact on the urban system, resource mobilization is treated in a random manner, and the resource requirements are represented as random variables. Furthermore, uncertainty arising from the vulnerability of the transportation system leads to random arc capacities and supply amounts. Randomness is represented by a finite sample of scenarios for capacity, supply and demand triplet. The two stages are defined with respect to information asymmetry, which discloses uncertainty during the progress of the response. The approach is validated by quantifying the expected value of perfect and stochastic information in problem instances generated out of actual data.
696 citations