Concealment measurement and flow distribution of military supply transportation: A double-entropy model
Wei Zhou,
Cheng Zhang and
Qiangqiang Wang
European Journal of Operational Research, 2018, vol. 264, issue 2, 570-581
Abstract:
To address the issues of military supply distribution and transportation under the restrictions of concealment during war preparation and warfare periods, this study proposes a double-entropy model to measure the degree of the comprehensive concealment of military supply transportation from the perspectives of transportation and detection. With respect to the real road conditions, we further develop this double-entropy model with consideration of the width and length of roads and introduction of the limitations of average transportation. The reasonability of this model and its related definitions are then demonstrated by theoretical analysis and mathematical proof. Subsequently, three distinctive properties of military supply transportation via a road or a road network, namely unordering, scalability, and directionality, are investigated. Based on the double-entropy model and the above properties, a flow distribution model of military supply is designed, which addresses a vital issue in the event of a military confrontation or regional war. Finally, we provide an example that calculates an optimal flow distribution schedule to carry out a regional military drill in the Jiangsu Province of China to demonstrate the proposed concepts and approaches.
Keywords: Transportation; Military supply; Concealment; Double-entropy model; Flow distribution (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0377221717305945
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:264:y:2018:i:2:p:570-581
DOI: 10.1016/j.ejor.2017.06.053
Access Statistics for this article
European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati
More articles in European Journal of Operational Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().