Scheduling solutions for the paper industry
成果类型：
Article
署名作者：
Keskinocak, P; Wu, F; Goodwin, R; Murthy, S; Akkiraju, R; Kumaran, S; Derebail, A
署名单位：
University System of Georgia; Georgia Institute of Technology; International Business Machines (IBM); IBM USA; International Business Machines (IBM); IBM USA
刊物名称：
OPERATIONS RESEARCH
ISSN/ISSBN：
0030-364X
DOI：
10.1287/opre.50.2.249.425
发表日期：
2002
页码：
249-259
关键词：
摘要：
This paper describes a decision support system for paper production scheduling. This is the first system to provide an integrated solution to paper production scheduling and to consider interactions between different stages of the manufacturing and distribution process. Using a multicriteria optimization approach, the system generates multiple enterprise,,vide schedules to reveal tradeoffs between the multiple, often competing, objectives. The large portfolio of algorithms used by the system is embedded in an agent-based decision support framework, called Asynchronous Team (A-Team). Successful implementations of the system in several paper mills in North America have resulted in significant savings and improved customer satisfaction.