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:: Volume 7, Issue 1 (6-2017) ::
Disaster Prev. Manag. Know. 2017, 7(1): 9-24 Back to browse issues page
Identifying performance dimensions and indicators of humanitarian supply chain (case of earthquakes) and determining the relationships between them
Reza Barani Beyranvand Mr 1, Mohammad Reza Sadeghi Moghadam PhD1, Hossein Safari2
1- Tehran University, Tehran, Iran
2- Tehran, Iran , Tehran University,
Abstract:   (4821 Views)

Background and objective: Nowadays, natural and human disasters such as earthquakes, floods, volcanic eruptions etc. are increasingly occurring. Due to their specific nature, disasters have many harmful effects on the lives of the Earth dwellers. The extent and severity of the disasters impacts are great enough to attract national and international attention in order to face with them. Hence, humanitarian supply chain management is important before, during and after a disaster. In this regard, the need to find and specify the dimensions and performance indicators in order to assess humanitarian supply chain is highly evident. Earthquake has been historically one of the damaging events in Iran and considering the importance of supply chain management in this event, the present article has been addressed identifying the dimensions and indicators of supply chain performance of earthquakes as well as specifying the type of relationship between them.

Method: At first, the literature of humanitarian supply chain and performance evaluation models were studied to find the components of performance evaluation and then, they were screened and classified in terms of structure in cooperation with the experts. After that, Confirmatory Factor Analysis was performed on the specified structure. Finally, the performance dimensions of humanitarian supply chain were levelled using the FISM technique (Fuzzy Interpretive Structural Modeling). Statistical population of the prsent research includes people and organizations involved in humanitarian supply chain relating to the countrychr('39')s earthquake events. Using questionnaires, expert opinion about the importance of indicators of the obtained model as well as the relationship between the performance dimensions were specified.

Findings: In the conclusion of the research, the relationship between all of performance dimensions and indicators were confirmed and a structure including 13 performance dimensions and 44 indicators was specified. In the performance dimensions levelling, the dimension of education was levelled as the first level; the dimensions of handling the survivors, reconstruction and repairing buildings and infrastructure, logistics and coordination were levelled as the second level and other performance dimensions were levelled as the third level. Performance dimensions of education, handling the  survivors, reconstruction and repair of buildings and infrastructure, and coordination were classified  in independent  cluster, the performance dimensions of retrofitting, logistics and relief, and providing water, food and medical services were classified in  implanted  cluster, and finally, the performance dimensions of monitoring and evaluation, space–frame (spatial–physical), improving communication and information management system of earthquake, cost, evacuation and sheltering and storage of supplies and first aids were classified in dependent cluster.

Keywords: Humanitarian Supply Chain, Confirmatory Factor Analysis, FISM (Fuzzy Interpretive Structural Modeling)
Full-Text [PDF 671 kb]   (976 Downloads)    
Type of Study: Research | Subject: Special
Received: 2016/12/31 | Accepted: 2017/04/14 | ePublished: 2017/06/25
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Barani Beyranvand R, Sadeghi Moghadam M R, Safari H. Identifying performance dimensions and indicators of humanitarian supply chain (case of earthquakes) and determining the relationships between them. Disaster Prev. Manag. Know.. 2017; 7 (1) :9-24
URL: http://dpmk.ir/article-1-110-en.html

Volume 7, Issue 1 (6-2017) Back to browse issues page
فصلنامه علمی - ترویجی دانش پیشگیری و مدیریت بحران Disaster Prevention and Management Knowledge (quarterly)
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