MILITARY MANAGEMENT QUARTERLY

MILITARY MANAGEMENT QUARTERLY

A Model for Planning the Deployment and Deployment of Ground Forces Based on the Crisis

Document Type : Research Paper

Authors
1 Ph.D. Candidate in Industrial Management, Allame Tabatabae'i University
2 Full Professor in Industrial Management, Allame Tabatabae'i University
3 Assistant Professor in Industrial Management, Allame Tabatabae'i University
4 Assistant Professor in Supreme National Defense University
Abstract
Today, one of the requirements in modern warfare is the rapid and deliberate deployment of combat forces. The new phenomenon of combined wars and the drastic changes of the current battle scenes and the need to embark on a new operational approach cause that mobility, agility, and rapid displacement of units become particularly important, in a way that units with higher mobility under equal conditions will be more efficient. Therefore, this study aims to provide a model for military mobility based on the principles of operational research. In this research, different scenarios for the outbreak of war and subsequent military mobility are investigated, then two mathematical modeling based on supply chain are developed for two scenarios. In these multi-objective mathematical models, the primary goal is to reach the destination with the least delay and the lateral goal is to minimize the total costs. The problem is solved using GAMS Operational Research Problem Solving Software and its performance is proven. Finally, by using an example the computational results of this problem are evaluated.
Keywords

جعفری، احمد؛ نصرت‌پناه، سیاوش؛ سهیلی ارشدی، افشین (1392). طراحی الگوی راهبردی ترابری چابک در جنگ ناهمگون.  راهبرد دفاعی. دوره  11، شماره  42، ص 134-  103.
موسوی، سید مصطفی (1392). تعیین نزدیک‌ترین مسیر حمل و نقل زمینی در لجستیک عملیات نظامی با استفاده از  .GIS دانشگاه امام حسین (ع).
نصرت‌پناه، سیاوش؛ نادری خورشیدی، علیرضا؛ فرجی، مرتضی و کریم، کاشانیان (1393). طراحی و تبیین الگوی راهبردی نظام فرماندهی ترابری و تحرک جاده‌ای در سپاه پاسداران انقلاب اسلامی، فصلنامه راهبرد دفاعی.
Akgüna; I. and B. Ç. Tansel (2007). "Optimization of transportation requirements in the deployment of military units." Computers & Operations Research.
Fletcher, TaLena, "Optimal Supply Delivery Under Military Specific Constraints" . Electronic Theses and Dissertations. 1782., 2018
Hermann. CF, International crises; insights from behavioral research., (1972).,  Free Press.
Jian-jun, C. H. E. N. "Study on Routing Optimization for Physical Distribution Based on Ant Colony Algorithm." Computer Simulation 2 (2011).
Jun, Wu Jianjun Liu. "MIXED ANTS ALGORITHM OF ROUTING PROBLEM FOR LOGISTICS DISTRIBUTGION." China Civil Engineering Journal 8 (2004).
Koo, H., and Moon, I., Wartime logistics model for multi-support unit location–allocation problem with frontline changes,. INTERNATIONAL TRANSACTIONS INOPERATIONAL RESEARCH., pp:1-25,.  2018.
Lee, H., and Kim, M., A Predictive Model for Forecasting Spare Parts Demand in Military Logistics., Proceedings of the 2018 IEEE IEEM., pp; 1106-1110., 2018.
McKinzie K, Barnes JW. (2003) A review of strategic mobility models supporting the defense transportation system.
Schank;, J., M. Mattock; And G. Summer; (1991). A Review Of Strategic Mobility Models And Analysis, Rand.
Stucker;, J. And I. Kameny (1993). "Army Experience With Deployment Planning In Operation Desert Shield." National Defense Research Institute.
YıldırımUğur Ziya.(2009).A MULTI‐MODAL DISCRETE‐EVENT SIMULATION MODE FOR MILITAY DEPLOYMENT (PhD Thesis). BİLKENT UNIVERSITY.
Yıldırım;, U. Z., İ. Sabuncuoğlu;, B. Tansel; and A. Balcıoğlu (2008). "A DESIGN OF EXPERIMENTS APPROACH TO MILITARY DEPLOYMENT PLANNING PROBLEM." Simulation Conference: 8.