| dc.description.abstract | By developing the online information and social media technology, civils awareness has been increased rapidly. This phenomenon impacts the maturity process of civil social movement significantly in Taiwan. In recent three years, assembly and parade has been increased tremendously. However, the shortage of police force from Taiwan Police Units have also increased. The situation of long-term insufficient police force, resulting in frequent police over fatigue events. At present, the police force planning for anticipated events such as rally and parade activities mainly rely on human experience but lacks system optimization analysis. This study considers the random demand to realize the most effective police force deployment in the shortest period of time and to organize the minimum duty hour target of police force. By constructing the optimized pattern of police force human resources integration and supply planning. Hopefully this study can provide policy makers with efficient planning and use of police force resources in the events.
This study uses mathematical planning approach to establish a deterministic demand police force supply planning model. According to the deterministic demand, the demand is set as the random demand expectation. The random demand of different random scenarios is simulated to establish a random demand police force supply planning model. Both modes are NP-hard problems.In terms of optimization solution, based on the deterministic and random requirements of the police force supply planning, this study applying mathematical programming software CPLEX, in conjunction with the C++ programming language to solve the demands, and use the random demand theory of evaluation indicators to evaluate the application performance of the random demand model.This study refers to the direct detachments under the traffic division of a certain county, the affiliates assigned to each police station and sub-station, the affiliates under the special police corps, the in-service teams of each police stations, the garrison under the branch, and the police stations. The police administration unit, as a source of information for the police force supply. Based on an actual occurrence of expected events, input reasonable demands and data for various parameters, conducted sample tests. The test results show that the use of the random demand for police force supply planning model is clearly superior to the approach of traditional human artificial manipulate model. The model and solution method of this study can provide relevant decision makers of police force administration as reference for prospective service of police force integration and planning. | en_US |