| dc.description.abstract | In order to carry out the three major tasks of firefighting - fire prevention, disaster rescue, and emergency response – aimed at protecting the safety of people and their property on a full-time basis, our serving firefighters are on a 24-hour shift system, which is divided, depending upon the amount of available manpower in each county and city, into one off duty shift and two off duty shifts. The current system of the Taoyuan Fire Department is one day off for work and one special day off each month. Furthermore, according to the law, public employees can get one to thirty days off each year depending on their seniority. Since there is a daily minimum number of firefighters required to be on duty in a field fire department, there is an upper limit to the number of people who can apply for leave each day, with weekends and consecutive holidays being more popular and preferred by most. However, due to the limited number of available firefighters, some of the cold dates are often chosen in the last few days of the holiday. The problem of conflicting dates due to the total number of days of leave has been troubling firefighter scheduling for a long time. Up to now no ideal solution has been found.
In this study, a mathematical model is constructed using the 0-1 integer planning method, to which an optimal solution is obtained by using LINGO 17.0 software, output to an EXCEL spreadsheet. A sensitivity analysis is carried out to adjust the important parameters, and the results are compiled and analyzed so as to understand the importance of each parameter. In this study, data from a county and city field fire department was used as a test sample. After fairly allocating rest dates, the demand for days off can be satisfied as much as possible, to relieve the pressure which can accumulate during active duty. The mathematical model developed in this study can be applied to each county and city fire department, inputting the specific parameters and constraints for a given unit. The results can be obtained by optimizing the unit′s scheduled rest days. It is expected that this method can be used as a reference for optimizing the scheduled rest days of fire departments nationwide. | en_US |