Identification of Bivariate Gamma Probability Distribution Model to Fit Different Periods of Time Related to Surgical Activity

摘要：

For the simulation and/or management (planning, organisation, start-up) of complex systems such as a group of operating theatres on a hospital site, models of underlying phenomena are required. The objective of this study is to offer managers a tool to assist them in the planning of surgical operations and the allocation of time slots. Using periods of time of different lengths which were observed (and stored in a data warehouse) during surgical operations, taken from two different hospital sites, we propose a bivariate probability distribution model. Our study relates to about 10,000 observations.

关键词： bivariate probability distributions bivariate Pearson Ⅲ distribution operating theatre times PACU time planning of surgical operations

作者: Catherine COMBES Alain DUSSAUCHOY Nadine MESKENS Jean-Philippe VANDAMME

作者单位: Université Jean Monnet de Saint-Etienne,Laboratoire Hubert Curien -UMR CNRS 5516 -18 rue Beno.t Laur PRISMa,Bat Nautibus,Université Claude Bernard,Lyon 1,43 bd du 11 novembre 1918,69622 Villeurbanne ce Production and Operations Management Department,Catholic University of Mons (FUCAM) -Chaussée de Bin

会议类型: 国际会议

会议名称: 工业工程与系统管理2007年国际会议(International Conference on Industrial Engineering and Systems Management)(IESM 2007)

会议地点: 北京

会议语种:英文

在线出版日期: 2007-05-30（万方平台首次上网日期，不代表论文的发表时间）