Access the full text.
Sign up today, get DeepDyve free for 14 days.
A. Charles, M. Lauras, L. Wassenhove (2010)
A model to define and assess the agility of supply chains: building on humanitarian experienceInternational Journal of Physical Distribution & Logistics Management, 40
D. Bliss, J. Campbell
The Immediate Response to the Java Tsunami: Perceptions of the Affected
D. Long
Logistics for disaster relief: engineering on the run (cover story)
A. Thomas
Humanitarian Logistics: Enabling Disaster Response
R. Oloruntoba, R. Gray (2009)
Customer service in emergency relief chainsInternational Journal of Physical Distribution & Logistics Management, 39
Alexander Blecken, B. Hellingrath (2008)
Supply Chain Management Software for Humanitarian Operations: Review and Assessment of current Tools
W. Haneveld, M. Vlerk (1999)
Stochastic integer programming:General models and algorithmsAnnals of Operations Research, 85
L.L. Sowinski
The lean, mean supply chain and its human counterpart
S. Ukkusuri, Wilfredo Yushimito (2008)
Location Routing Approach for the Humanitarian Prepositioning ProblemTransportation Research Record, 2089
D. Alexander (2006)
Globalization of disaster: trends, problems and dilemmas.Journal of International Affairs, 59
C. Taupiac
Humanitarian and development procurement: a vast and growing market
F. Moody
Emergency relief logistics: a faster way across the global divide
A. Davidson (2006)
Key performance indicators in humanitarian logistics
A. Thomas, D.V. Ramalingam
Recipient Perceptions of Aid Effectiveness: Rescue, Relief and Rehabilitation in Tsunami Affected Indonesia, India and Sri Lanka
H. Vladimirou, S. Zenios (1997)
Stochastic linear programs with restricted recourseEuropean Journal of Operational Research, 101
A. Haghani, S.C. Oh (1996)
FORMULATION AND SOLUTION OF A MULTI-COMMODITY, MULTI-MODAL NETWORK FLOW MODEL FOR DISASTERTransportation Research Part A-policy and Practice, 30
G. Barbarosoglu, Yasemin Arda (2004)
A two-stage stochastic programming framework for transportation planning in disaster responseJournal of the Operational Research Society, 55
Pamela Nolz, K. Doerner, R. Hartl (2010)
Water distribution in disaster reliefInternational Journal of Physical Distribution & Logistics Management, 40
A. Thomas, L. Kopczak
From Logistics to Supply Chain Management: The Path Forward in the Humanitarian Sector
J. Trestrail, J. Paul, M. Maloni (2009)
Improving Bid Pricing for Humanitarian LogisticsInternational Journal of Physical Distribution & Logistics Management, 39
B. Balcik, B. Beamon (2008)
Facility location in humanitarian reliefInternational Journal of Logistics Research and Applications, 11
Peter Tatham, S. Pettit (2010)
Transforming humanitarian logistics: the journey to supply network managementInternational Journal of Physical Distribution & Logistics Management, 40
G. Dantzig (2004)
Linear Programming Under UncertaintyManag. Sci., 50
K. Scholten, P. Scott, B. Fynes (2010)
Le)agility in humanitarian aid (NGO) supply chainsInternational Journal of Physical Distribution & Logistics Management, 40
PAHO
Humanitarian Supply Management in Logistics in the Health Sector
G. Barbarosoglu, L. Özdamar, A. Çevik (2002)
An interactive approach for hierarchical analysis of helicopter logistics in disaster relief operationsEur. J. Oper. Res., 140
T. Russell (2005)
The humanitarian relief supply chain : analysis of the 2004 South East Asia earthquake and Tsunami
B. Beamon, B. Balcik (2008)
Performance measurement in humanitarian relief chainsInternational Journal of Public Sector Management, 21
S. Pettit, A. Beresford (2009)
Critical success factors in the context of humanitarian aid supply chainsInternational Journal of Physical Distribution & Logistics Management, 39
P. Beraldi, R. Musmanno, C. Triki (2000)
Solving Stochastic Linear Programs with Restricted Recourse Using Interior Point MethodsComputational Optimization and Applications, 15
M. Riis, K. Andersen (2005)
Applying the minimax criterion in stochastic recourse programsEur. J. Oper. Res., 165
J. Birge, F. Louveaux (1997)
Introduction to Stochastic Programming
Alexander Blecken (2010)
Supply chain process modelling for humanitarian organizationsInternational Journal of Physical Distribution & Logistics Management, 40
A. Akkihal (2006)
Inventory pre-positioning for humanitarian operations
K. Viswanath, S. Peeta, F. Salman (2002)
Reducing the Vulnerability of a Network Through Investment: Decision Dependent Link Failures
B. Beamon, Stephen Kotleba (2006)
Inventory management support systems for emergency humanitarian relief operations in South SudanThe International Journal of Logistics Management, 17
B. Beamon, Stephen Kotleba (2006)
Inventory modelling for complex emergencies in humanitarian relief operationsInternational Journal of Logistics Research and Applications, 9
D. Bliss, L. Larsen
Surviving the Pakistan Earthquake: Perceptions of Survivors One Year Later
A. Haghani, Sei-Chang Oh (1996)
Formulation and solution of a multi-commodity, multi-modal network flow model for disaster relief operationsTransportation Research Part A-policy and Practice, 30
G. Kovács, K. Spens (2007)
Humanitarian logistics in disaster relief operationsInternational Journal of Physical Distribution & Logistics Management, 37
L. Wassenhove (2006)
Humanitarian aid logistics: supply chain management in high gearJ. Oper. Res. Soc., 57
Purpose – The purpose of this paper is to discuss and to help address the need for quantitative models to support and improve procurement in the context of humanitarian relief efforts. Design/methodology/approach – This research presents a two‐stage stochastic decision model with recourse for procurement in humanitarian relief supply chains, and compares its effectiveness on an illustrative example with respect to a standard solution approach. Findings – Results show the ability of the new model to capture and model both the procurement process and the uncertainty inherent in a disaster relief situation, in support of more efficient and effective procurement plans. Research limitations/implications – The research focus is on sudden onset disasters and it does not differentiate between local and international suppliers. A number of extensions of the base model could be implemented, however, so as to address the specific needs of a given organization and their procurement process. Practical implications – Despite the prevalence of procurement expenditures in humanitarian efforts, procurement in humanitarian contexts is a topic that previously has only been discussed in a qualitative manner in the literature. This work provides practitioners with a new approach to quantitatively assess and improve their procurement decision processes. Originality/value – This study adds to the existing literature by demonstrating the applicability and effectiveness of an analytic modeling technique based on uncertainty, such as stochastic programming with recourse, in the context of humanitarian relief procurement activities.
Journal of Humanitarian Logistics and Supply Chain Management – Emerald Publishing
Published: Oct 21, 2011
Keywords: Humanitarian logistics; Procurement; Decision modelling; Optimization; Stochastic programming
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.