dc.description.abstract | According to Article 2-1 of Narcotics Hazard Prevention Act, the municipal and county (city) government shall establish Drugs Abuse Prevention centers and set up case managerial personnel, aiming at drugs users in individual cases to provide various services such as psychological counseling, caring visit, social assistance, legal aids, referrals for students and employment, and medical treatment, etc., as well as drugs abuse prevention and control counseling for the general public, application for community prevention propaganda activities and other drugs control-related services, case managers have quite heavy workload. At present, the shift scheduling is manually arranged by a special assigned person based on the previous experience, which is inefficient and susceptible to the personal subjective consciousness as well as likes and dislikes, so the fairness of the shift scheduling cannot be guaranteed. It is difficult to meet the practical needs, so a systematic shift scheduling module is urgently needed.
Therefore, this study applied mathematics integer linear programming method through the optimization theory to build a mathematical model that fits the practice, and thus compile them into a LINGO 17.0 software packages modeling language with optimal operation performed by computer fast computing power, the result of which will be exported to Excel 2016 software for the performance of statistics, output and tabulation. In addition to significantly reducing the time required for duty shift scheduling, such results can also avoid the unfair phenomenon caused by manual shift scheduling, help managers to properly use the limited manpower, make the service personnel more balance between work and rest, effectively improve service quality and improve team cohesion. Finally, this study that reconfirms the stability and accuracy of this research model through the adjustment of important parameters for sensitivity analysis can really achieve accurate, time-saving scheduling and fairness among staff of the same rank; the analysis results can be used as a direction reference for decision makers in practical shift scheduling, future manpower allocation and duty planning. | en_US |