Grunow Martin, Günther Hans-Otto, Yang Gang
Department of Production Management, Technical University Berlin, Wilmersdorfer Str. 148, 10585 Berlin, Germany.
Health Care Manag Sci. 2004 Nov;7(4):305-17. doi: 10.1007/s10729-004-7539-x.
Clinical studies for the development of new drugs in the pharmaceutical industry consist of a number of individual tasks which have to be carried out in a pre-defined chronological order. Each task requires certain types of medical personnel. This paper investigates the scheduling of clinical studies to be performed during a short-term planning horizon, the allocation of workforce between the studies, and the assignment of individual employees to tasks. Instead of developing a complex monolithic decision model, a hierarchical modelling approach is suggested. In the first stage, a compact integer optimization model is solved in order to determine the start-off times of the studies and the required staffing while taking the limited availability of personnel into account. The objective is to minimize total staffing costs. The assignment of individual employees to tasks is then made in the second stage of the procedure using a binary optimization model.
制药行业新药研发的临床研究由一系列需按预先确定的时间顺序开展的单独任务组成。每项任务需要特定类型的医务人员。本文研究了短期规划期内临床研究的进度安排、各项研究之间的人力分配以及将个体员工分配至各项任务的问题。本文建议采用分层建模方法，而非开发复杂的整体决策模型。在第一阶段，求解一个紧凑的整数优化模型，以便在考虑人员有限可用性的情况下确定研究的启动时间和所需人员配置。目标是使总人员成本最小化。然后在该流程的第二阶段使用二元优化模型将个体员工分配至各项任务。
