dc.description.abstract | In the production of traditional television program, whether it’s internal staff or external contractor, the assignment of production personnel is mostly based on empirical method, word of mouth, or personal relationship. However, when faced with limited budget, multiple productions, and overlapping assignments, the personnel resource assignment by the decision maker becomes an essential factor in the overall production. When assignment of certain personnel overlapped or left unused, it might result in unnecessary waste, delay of production scheduling, increase of production cost and damaging the reputation of decision maker. The effect of such inefficiency in the production assignment shall not be ignored nor tolerated. The purpose of this research is to study the efficiency of personnel assignment of television program production process by creating integer programming models based on the requests of each production group. During actual production, the parameters of the function can be adjusted according to the changing environment and rearrange personnel assignment to take advantage of the available human resource and achieve cost saving goal, in order to reach optimal assignment with the target of minimal cost. In addition, according to the variation of each parameter in the function, plan analysis and sensitivity analysis are performed to obtain the minimal personnel cost, and to fully utilize the available human resource. In determining the solution of personnel assignment, the data of personnel type, arrangement of human resource, and number of episodes are input into LINGO 8.0. To validate the logicality and applicability of the function, the results of integer programming is then compared with the manual empirical assignment method. The comparison showed that the integer programming method provides more optimal result with shorter duration of production time with lower cost. Thus, this research can accurately assist decision maker in dealing with personnel scheduling and planning. Moreover, it can also assist decision maker in making adjustments to the personnel assignment with changing personnel responsibility, staffing, and number of episodes.
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