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http://dx.doi.org/10.7232/JKIIE.2013.39.6.587

Military Logistics Consolidation Center Location Problem : Modeling and Analysis  

Sim, Seungbae (Korea Institute for Defense Analyses)
Jang, Jihong (Korea Institute for Defense Analyses)
Jung, Hosang (Graduate School of Logistics, Inha University)
Jeong, Bongju (Department of Information and Industrial Systems Engineering, Yonsei University)
Publication Information
Journal of Korean Institute of Industrial Engineers / v.39, no.6, 2013 , pp. 587-598 More about this Journal
Abstract
In Korea military (KM), various military supplies are distributed to individual military units via three different multi-tier supply networks owned and operated by army, navy, and air force, respectively. Under the current supply networks, the chances for the occurrence of delayed supply, undersupply, and oversupply increase, and supply redundancy also can become a problem. Thus, KM is now trying to improve its current multi-tier supply networks by constructing logistics consolidation centers. Private companies operate logistics consolidation centers to effectively manage various types of inventories before delivering them to final customers. In this paper, we newly propose a mathematical model for building the optimized military supply network considering adopting the military logistics consolidation centers. Based on the real situation of KM, the proposed model was validated in terms of its feasibility, and it seems that the outcome (the location of the military logistics consolidation centers) of the proposed model can be one of the good alternatives for KM.
Keywords
Logistics Consolidation Center; Facility Location Problem; Military Logistics;
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1 Bell, J. E. et al. (2011), Location optimization of strategic alert sites for homeland defense, Omega, 39, 151-158.   DOI   ScienceOn
2 Brauner, M. et al. (1993), Is consolidation being overemphasized for military logistics?, RAND issue paper.
3 Cheong, M. et al. (2007), Logistics network design with supplier consolidation hubs and multiple shipment options, Journal of Industrial and Management Optimization, 3(1), 51-69.   DOI
4 Creazza, A. et al. (2010), Evaluating logistics network configurations for a global supply chain, Supply Chain Management : An International Journal, 15(2), 154-164.   DOI   ScienceOn
5 GAO (2011), DoD Needs to Take Additional Actions to Address Challenges in Supply Chain Management, Report to Congressional Committees.
6 Gebennini, E. et al. (2009), An integrated production-distribution model for the dynamic location and allocation problem with safety stock optimization, Int. J. Production Economics, 122, 286-304.   DOI   ScienceOn
7 Javid, A. A. et al. (2010), Incorporating location, routing and inventory decisions in supply chain network design, Transportation Research Part E, 46, 582-597.   DOI   ScienceOn
8 Jin, L. et al. (2010), Integrated optimization model for three-layer distribution network design and its solution algorithm, ICIS, 610-615.
9 Jung (2011), The Improving Way of Logistics Management in Korean Army, Air Force Institute of Technology.
10 KRIS (2010), Concept and Policy Directions of Integrated Logistics System Construction.
11 Manizini, R. et al. (2009), Strategic design and operational management optimization of a multi stage physical distribution system, Transportation Research Part E, 45, 915-936.   DOI   ScienceOn
12 Manzini, R. et al. (2008), Optimization models for the dynamic facility location and allocation problem, International Journal of Production Research, 46(8), 2061-2086.   DOI   ScienceOn
13 Nowicki, D. et al. (2010), A Framework for Performance Based Logistics : A System of Systems Approach, International Congress on Ultra Modern Telecommunications and Control Systems and Workshops.
14 Pan, S. (2010), The reduction of greenhouse gas emissions from freight transport by pooling supply chains, Int. J. Production Economics.
15 Peltz, E. et al. (2012), Integrating the department of defense supply chain, RAND Technical Report.
16 Song, H. et al. (2008), Distribution coordination between suppliers and customers with a consolidation center, Operations Research, 56(5), 1264-1277.   DOI   ScienceOn
17 Tang, Q. et al. (2009), Distribution center location optimization by genetic algorithm, Fifth International Conference on Natural Computation, 196-199.
18 Tsao, Y. et al. (2012), A supply chain network design considering transportation cost discounts, Transportation Research Part E, 48, 401-414.   DOI   ScienceOn
19 Wenzel, F. (2008), Should the Department of Defense establish a Unified U. S. Logistics Command?, US Army Command and General Staff College.