Details

Last Mile Distribution in Disaster Relief Chains


Last Mile Distribution in Disaster Relief Chains

Challenges and Opportunities for the Humanitarian Sector
1. Auflage

von: Michael Decker

34,99 €

Verlag: Grin Verlag
Format: EPUB, PDF
Veröffentl.: 24.07.2013
ISBN/EAN: 9783656465126
Sprache: englisch
Anzahl Seiten: 42

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Beschreibungen

Bachelor Thesis from the year 2012 in the subject Business economics - Supply, Production, Logistics, grade: 2,3, University of Cologne (Department of Supply Chain Management and Management Science), course: Supply Chain Management, language: English, abstract: Due to the latest catastrophes caused by both man and nature, humanitarian logistics has received increasing interest from academics, practitioners and specialists. These interests are increased as well by an expanding market of disaster relief and by the fact that disaster relief supply chains are complex and dynamic, not to mention that they have a lot of uncertainties that make operations very complicated. Especially in disaster relief, the supply chains have to be fast, agile and flexible in order to rapidly provide the appropriate amount, and type of emergency supplies, to minimize human suffering or death.
The last mile distribution is the final stage of the disaster relief supply chain, i.e. the delivery of relief supplies from local distribution centres to beneficiaries affected by disasters. The main problems for the last mile are:
• Supplies have to be carried out rapidly in an environment with destabilized infrastructures
• Limitations related to transportation resources and emergency supplies
• Lack of coordination among relief actors
• Insufficient information about demand and need for help

To solve these problems, the private sector approaches of the last mile can be conducted and innovative technologies can be implemented. The aim of this paper is to give an overview of supply chains in disaster relief, identify the main problems of the last mile distribution in disaster relief operations, describe optimization possibilities of the private sector, and examine the applicability for disaster situations.