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You searched for +publisher:"Virginia Tech" +contributor:("Dr. Roberta S. Russell"). One record found.

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Virginia Tech

1. Falasca, Mauro. Quantitative Decision Models for Humanitarian Logistics.

Degree: Management Science and Information Technology, 2009, Virginia Tech

Humanitarian relief and aid organizations all over the world implement efforts aimed at recovering from disasters, reducing poverty and promoting human rights. The purpose of this dissertation is to develop a series of quantitative decision models to help address some of the challenges faced by humanitarian logistics. The first study discusses the development of a spreadsheet-based multicriteria scheduling model for a small development aid organization in a South American developing country. Development aid organizations plan and execute efforts that are primarily directed towards promoting human welfare. Because these organizations rely heavily on the use of volunteers to carry out their social mission, it is important that they manage their volunteer workforce efficiently. In this study, we demonstrate not only how the proposed model helps to reduce the number of unfilled shifts and to decrease total scheduling costs, but also how it helps to better satisfy the volunteersâ scheduling preferences, thus supporting long-term retention and effectiveness of the workforce. The purpose of the second study is to develop a decision model to assist in the management of humanitarian relief volunteers. One of the challenges faced by humanitarian organizations is that there exist limited decision technologies that fit their needs while it has also been pointed out that those organizations experience coordination difficulties with volunteers willing to help. Even though employee workforce management models have been the topic of extensive research over the past decades, no work has focused on the problem of managing humanitarian relief volunteers. In this study, we discuss a series of principles from the field of volunteer management and develop a multicriteria optimization model to assist in the assignment of both individual volunteers and volunteer groups to tasks. We present illustrative examples and analyze two complementary solution methodologies that incorporate the decision makerâ s preferences and knowledge and allow him/her to trade-off conflicting objectives. The third study discusses the development of a decision model for the procurement of goods in humanitarian efforts. Despite the prevalence of procurement expenditures in humanitarian efforts, procurement in humanitarian contexts is a topic that has only been discussed in a qualitative manner in the literature. In our paper, we introduce a two stage decision model with recourse to improve the procurement of goods in humanitarian relief supply chains and present an illustrative example. Conclusions, limitations, and directions for future research are also discussed. Advisors/Committee Members: Dr. Christopher W. Zobel (committeechair), Dr. Loren Paul Rees (committee member), Dr. Roberta S. Russell (committee member), Dr. Cliff T. Ragsdale (committee member), Cook, Deborah F. (committee member).

Subjects/Keywords: Procurement; Scheduling; Spreadsheet Modeling; Development Aid; Humanitarian Logistics; Stochastic Programming; Volunteer Labor; Optimization; Multicriteria Decision Making

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Falasca, M. (2009). Quantitative Decision Models for Humanitarian Logistics. (Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/28774

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Falasca, Mauro. “Quantitative Decision Models for Humanitarian Logistics.” 2009. Thesis, Virginia Tech. Accessed January 18, 2019. http://hdl.handle.net/10919/28774.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Falasca, Mauro. “Quantitative Decision Models for Humanitarian Logistics.” 2009. Web. 18 Jan 2019.

Vancouver:

Falasca M. Quantitative Decision Models for Humanitarian Logistics. [Internet] [Thesis]. Virginia Tech; 2009. [cited 2019 Jan 18]. Available from: http://hdl.handle.net/10919/28774.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Falasca M. Quantitative Decision Models for Humanitarian Logistics. [Thesis]. Virginia Tech; 2009. Available from: http://hdl.handle.net/10919/28774

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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