Project Selection and Planning Using Stochastic Dynamic Programming

摘要：

We present a tactical decision model for project selection and planning that maximizes the expected profits from the planned orders, allowing for regular as well as non-regular capacity. In a multi-project environment, projects typically share common resources. Adequate management of these scarce resources is therefore of crucial importance. We apply stochastic dynamic programming to determine a profit threshold for the acceptreject decision as well as the optimal capacity allocation for accepted projects, both with an eye on maximizing the expected revenues within the problem horizon. The proposed methods integrate project selection and planning to achieve agreement between the often diverging objectives of the separate sales and production department. In this manner, we aim to live up to competitive due dates and reduce the sometimes excessive use of highly expensive non-regular capacity such as overtime and temporary labor.

关键词： dynamic programming project selection capacity planning multi-project

作者: Jade HERBOTS Willy HERROELEN Roel LEUS

作者单位: Department of Decision Sciences and Information Management,Katholieke Universiteit Leuven,Naamscstraat 69,3000 Leuven,Bclgium

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）