Knowledge-oriented modeling for influencing factors of battle damage in military industrial logistics: An integrated method

• Main Authors: Xiong Li, Xiao-dong Zhao, Wei Pu
• Format: Article
• Language: English
• Published: KeAi Communications Co., Ltd. 2020-06-01
• Series: Defence Technology
• Subjects: Battle damage; Industrial logistics; Entity-relationship approach; Social network analysis; Agent-based simulation
• Online Access: http://www.sciencedirect.com/science/article/pii/S2214914719305732

Modeling influencing factors of battle damage is one of essential works in implementing military industrial logistics simulation to explore battle damage laws knowledge. However, one of key challenges in designing the simulation system could be how to reasonably determine simulation model input and build a bridge to link battle damage model and battle damage laws knowledge. In this paper, we propose a novel knowledge-oriented modeling method for influencing factors of battle damage in military industrial logistics, integrating conceptual analysis, conceptual modeling, quantitative modeling and simulation implementation. We conceptualize influencing factors of battle damage by using the principle of hierarchical decomposition, thus classifying the related battle damage knowledge logically. Then, we construct the conceptual model of influencing factors of battle damage by using Entity-Relationship approach, thus describing their interactions reasonably. Subsequently, we extract the important influencing factors by using social network analysis, thus evaluating their importance quantitatively and further clarifying the elements of simulation. Finally, we develop an agent-based military industry logistics simulation system by taking the modeling results on influencing factors of battle damage as simulation model input, and obtain simulation model output, i.e., new battle damage laws knowledge, thus verifying feasibility and effectiveness of the proposed method. The results show that this method can be used to support human decision-making and action.