 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.  Types of Disaster :

 Required to identify and implement some measures in order to reduce the occurrence or rather impact of disaster, as much as possible.  Identification of Critical Success Factors (CSFs)

 Preparedness : ◦ Before disaster hits. ◦ T o avoid the gravest possible consequences of a disaster.  Response ◦ Immediate response sub-phase. ◦ Restore sub-phase.  Recovery ◦ Rehabilitation operations for a long-term perspective. ◦ Post-Disaster.  Mitigation ◦ To retain social and economic conditions. ◦ To reduce destruction level by implementing various laws and mechanisms.

 Information and Technology Utilization: Crucial as it directly impacts the speed of the response at the time of relief operations and enables better coordination between the actors.  Continuous improvement: Process of benchmarking in which processes and performances of relief operations are evaluated and implemented by comparing it with the best practices from the previous relief operations.  Effective utilisation of resources: It depends upon the collaborative working of disparate teams with a common goal.  Strategic Planning: A long-term approach is adopted which allows an organisation to be prepared for what must be done when an emergency occurs (Long, 1997).  Distribution Strategy: Time and cost are major constraints in emergency relief operations. For the same, it is quite important to adopt some of the standard distribution strategies, such as: Direct shipping, Cross-docking, and Centralized warehouse.  Minimisation of loss of human lives: The objective of the disaster relief operation is always linked to how quickly and conveniently the resources reach the affected people (Roy et al., 2012).

 Transport and capacity planning: Transportation is not just about transferring material, it also involves other aspects such as: selecting transport mode, capacity scheduling, maintenance, and intermodality (Pettit, 2009).  Disaster Assessment: Pre-warning system helps in providing the information regarding volume and intensity of disaster that could affect the human lives and infrastructure as well.  Risk Mitigation: Three levels of risk management: Strategic organisational, systematic operational, and dynamic operational. Organisations should adopt a formalised approach towards risk mitigation.  Prompt Response: The challenges include physical destruction, which limits logistical pathways and constrained resources, which limit funding during the disaster.  Restoration: Post-disaster recovery planning can be thought of as providing a blueprint for the restoration of a community after a disaster occurs. This can be done through long and short-term strategies.

1.Interpretive Structural Modeling (ISM) - Depicts hierarchical relationships between various variables identified and produces structural models from poorly articulated mental models so as to make it more visible and well- defined. Steps: ◦ Development of Structural Self Interaction Matrix (SSIM). ◦ Constructing Initial Reachability Matrix ◦ Constructing Final Reachability Matrix. ◦ Level Partitions. ◦ Creation of ISM based model (Diagraph). 2.MICMAC Analysis - T o classify and analyse the critical success factors on the basis of their driving and dependence power. Positioning of factors within four clusters of a graph. Clusters: ◦ First cluster : Weak driver power and weak dependence (autonomous). ◦ Second cluster : Weak driver power but strong dependence (dependent). ◦ Third cluster : Strong driving power and also strong dependence (linkage). ◦ Fourth cluster : Strong driving power but weak dependence (independent). Identification and Modeling

Level partitions

I. Outcome of ISM

II. Outcome of MICMAC : Graphical representation

 This research paper has considered only limited number of critical success factors. In real situation, there can be few other critical success factors that may impact the HSCM.  Also, the ISM model developed can be statistically validated using Structural Equation Modelling (SEM) which has a capability to test the already developed hypothetical model.  The consistency among the expert opinions can also be validated using Kappa technique.

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