Multi-Criteria Network Design in Health and Humanitarian Logistics

2016 ◽  
pp. 161-188
Author(s):  
Nathaniel Bastian ◽  
Paul Griffin
Keyword(s):  
Network Design ◽  
Humanitarian Logistics

A bi-objective model for humanitarian logistics network design in response to post-disaster

2019 ◽  
Vol 33 (2) ◽  
pp. 256
Author(s):  
Hamed Tayebi ◽  
Amirhossein Moosavi ◽  
Sadoullah Ebrahimnejad ◽  
Mahshid Zanganeh
Keyword(s):  
Network Design ◽  
Humanitarian Logistics ◽  
Logistics Network ◽  
Objective Model ◽  
Post Disaster

A bi-objective model for humanitarian logistics network design in response to post-disaster

2019 ◽  
Vol 33 (2) ◽  
pp. 256
Author(s):  
Mahshid Zanganeh ◽  
Sadoullah Ebrahimnejad ◽  
Amirhossein Moosavi ◽  
Hamed Tayebi
Keyword(s):  
Network Design ◽  
Humanitarian Logistics ◽  
Logistics Network ◽  
Objective Model ◽  
Post Disaster

Decision support framework for location selection and disaster relief network design

2017 ◽  
Vol 7 (3) ◽  
pp. 222-245 ◽  
Author(s):  
Giuseppe Timperio ◽  
Gajanan Bhanudas Panchal ◽  
Avinash Samvedi ◽  
Mark Goh ◽  
Robert De Souza
Keyword(s):  
Decision Support ◽  
Network Design ◽  
Disaster Relief ◽  
Real Life ◽  
Humanitarian Logistics ◽  
Decision Makers ◽  
Use Case ◽  
Distribution Centers ◽  
Content Type ◽  
Decision Support Framework

Purpose The purpose of this paper is to provide a decision support framework for locations identification to address network design in the domain of disaster relief supply chains. The solution approach is then applied to a real-life case about Indonesia. Design/methodology/approach An approach integrating geographic information system technology and fuzzy analytical hierarchy process has been used. Findings For the Indonesian case, distribution centers should be located in Pekanbaru, Surabaya, Banjarmasin, Ambon, Timika, and Manado. Research limitations/implications The main limitation of this work is that facilities being sited are incapacitated. Inclusion of constraints over capacity would elevate the framework to a further level of sophistication, enabling virtual pool of inventory that can be used to adsorb fluctuation in the demand due to disasters. Practical implications The use case provided in this paper shows a practical example of applicability for the proposed framework. This study is able to support worldwide decision makers facing challenges related with disaster relief chains resilience. In order to achieve efficiency and effectiveness in relief operations, strategic logistics planning in preparedness is key. Hence, initiatives in disaster preparedness should be enhanced. Originality/value It adds value to the previous literature on humanitarian logistics by providing a real-life case study as use case for the proposed methodology. It can guide decision makers in designing resilient humanitarian response, worldwide. Moreover, a combination of recommendations from humanitarian logistics practitioners with established models in facility location sciences provides an interdisciplinary solution to this complex exercise.

scholarly journals Humanitarian logistics network design under mixed uncertainty

2016 ◽  
Vol 250 (1) ◽  
pp. 239-250 ◽  
Author(s):  
S. Tofighi ◽  
S.A. Torabi ◽  
S.A. Mansouri
Keyword(s):  
Network Design ◽  
Humanitarian Logistics ◽  
Logistics Network

scholarly journals (A342) Distribution Network Design in Relief Chain Management: Learnings from the 2008 Kosi Floods, Bihar, India

2011 ◽  
Vol 26 (S1) ◽  
pp. s96-s96
Author(s):  
A. Prakash
Keyword(s):  
Network Design ◽  
Total Population ◽  
Distribution Network ◽  
Humanitarian Logistics ◽  
District Level ◽  
Transport Infrastructure ◽  
Distribution Network Design ◽  
Disaster Logistics ◽  
Similar Resource ◽  
The Cost

Logistics has always been an important factor in humanitarian aid operations, to the extent that logistics efforts account for 80% of disaster relief. They often have to be carried out in an environment with destabilized infrastructures ranging from a lack of electricity supplies to limited transport infrastructure. Furthermore, since most natural disasters are unpredictable, the demand for goods in these disasters is also unpredictable. Thus it is evident that humanitarian logistics is challenging as it has to be more flexible, and has to function under severe constraints. In India, humanitarian logistics remains a neglected field ins disaster management, the cost of which is paid by loss of human lives and property. In recent Kosi Flood the total population of 33,45,545 people living in 993 villages of 412 panchayats of 35 blocks of 5 districts were affected. A total of 3, 40,742 houses were damaged and 7, 12,140 animals were affected. A total of 239 humans and 1232 animal's lives were lost (Department of Planning and Development, Government of Bihar). The Paper analyses, Madhepura district government's mechanisms of managing logistics while responding to Kosi floods 2008. It evaluates the efficiency of these mechanisms with respect to its outreach to flood affected people. It review and analyses the strengths and weaknesses of the adopted distribution network design for relief management with reference to strategic locations of the relief camps, during the first month of the kosi floods in 2008. It suggests ways to improve disaster logistics at district level in Bihar. The study looks into the possibilities of adopting newer approaches in the field of logistics that could be implemented with greater efficiency under similar conditions. The logistics in the devastating floods at the district level in a developing country has key learning lessons for similar resource poor environments.

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