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Vehicle Procurement Policy for Humanitarian Development Programs
- Source :
- Production and Operations Management, Production and Operations Management, Wiley, 2014, 23 (6), pp.951-964. ⟨10.1111/poms.12108⟩
- Publication Year :
- 2013
- Publisher :
- Wiley, 2013.
-
Abstract
- International audience; This article aims to identify optimal vehicle procurement policies for organizations engaged in humanitarian development programs and to derive general insights on the characteristics of these policies. Toward that end, we follow an inductive approach. First, we study the operations of the International Committee of the Red Cross (ICRC) in three representative countries: Sudan, Afghanistan, and Ethiopia. Using a linear programming (LP) model primed with field data provided by the ICRC, we calculate the optimal vehicle fleet size and compare it with the policies actually implemented. Second, drawing from results of the LP model, we develop a stylized quadratic control model and use it to characterize the general structure of the optimal policy under different demand scenarios and operational constraints. After demonstrating that the results of the control model are consistent with those of the LP model in the specific context analyzed, we discuss the optimal policies and the applicability of the former as a practical tool for strategic asset planning.
- Subjects :
- Strategic asset allocation
Structure (mathematical logic)
Stylized fact
021103 operations research
Linear programming
Operations research
05 social sciences
Control (management)
0211 other engineering and technologies
Context (language use)
02 engineering and technology
Management Science and Operations Research
[SHS.GESTION.MAN-OP]Humanities and Social Sciences/Business administration/domain_shs.gestion.man-op
Industrial and Manufacturing Engineering
development programs
Development (topology)
Procurement
Management of Technology and Innovation
humanitarian logistics
0502 economics and business
Economics
Operations management
procurement
fleet management
050203 business & management
Subjects
Details
- ISSN :
- 10591478
- Volume :
- 23
- Database :
- OpenAIRE
- Journal :
- Production and Operations Management
- Accession number :
- edsair.doi.dedup.....66329f535075e72b9d767b6a324adb7e
- Full Text :
- https://doi.org/10.1111/poms.12108