Simulation Research on Effectiveness of Reward and Punishment Strategy in Open-pit Mines

Authors

Xingxin Nie, 1. School of Resources Engineering, Xi'an University of Architectural Science and Technology, Xi'an 710055, China; ;
Cunrui Bai, 2. School of Management, Xi'an University of Architectural Science and Technology, Xi'an 710055, China;

Abstract

Abstract: Mining safety accidents occur frequently, and one of the main causes is the miners' Intentional Unsafe Behavior (IUB), and therefore implementing the reward and punishment strategy on it is the key coping strategy. In order to study how the reward and punishment strategy acts on the Intentional Unsafe Behavior (IUB) of the miners and how effective the strategy is, based on the Behavioral Economics + IUB Diffusion Theory, combined with the Multi-Agent model to analyze the influencing factors of the miners' IUB, and based on the work situation adaptability function and the unsafe behavior adaptability function, the simulation model is created. The study explores and summarizes the macroscopic emergence rule of IUB by the comparison and analysis in the Netlogo platform, and records the behavior selection of each attribute operator by using the work situation adaptability status value.

Recommended Citation

Nie, Xingxin and Bai, Cunrui (2020) "Simulation Research on Effectiveness of Reward and Punishment Strategy in Open-pit Mines," Journal of System Simulation: Vol. 32: Iss. 5, Article 22.
DOI: 10.16182/j.issn1004731x.joss.18-0538
Available at: https://dc-china-simulation.researchcommons.org/journal/vol32/iss5/22

First Page

946

Revised Date

2018-12-20

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.18-0538

Last Page

955

CLC

TP391.9

Recommended Citation

Nie Xingxin, Bai Cunrui. Simulation Research on Effectiveness of Reward and Punishment Strategy in Open-pit Mines[J]. Journal of System Simulation, 2020, 32(5): 946-955.

DOI

10.16182/j.issn1004731x.joss.18-0538