Preliminary study on prediction-driven munitions supply mode based on big data. (July 2020)

• Record Type: Journal Article
• Authors: Bai, Yu; Qin, Xiangyu; Zhang, Jingchen
• Is Part Of: Journal of physics. Volume 1601:Number 3(2020)
• Publication Date: 2020-07
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1601/3/032035
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: The application of big data in military logistics has made great leap in the way of supporting forces and aiding in operational decision-making. This paper introduces a new munitions supply mode—prediction-driven munitions supply based on big data. By monitoring the various sources of munitions consumption data and order data, leveraging the processing technologies, the prediction-driven munitions supply can realize the munitions requirement prediction, and based on the result of the prediction, the munitions managers and logistic supporting organizations can suggest supporting decisions, which leads to the realization of supply ammunition well in advance of shortages happen.