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作者机构:Sakarya Univ Muh Fak End Muh Bol Esentepe Kampus Sakarya Turkey UNSA Ambalaj San Tic AS Fabrika Sokak Istanbul Turkey
出 版 物:《JOURNAL OF INTELLIGENT MANUFACTURING》
年 卷 期:2004年第15卷第4期
页 面:535-542页
核心收录:
学科分类:08[工学] 0802[工学-机械工程] 0812[工学-计算机科学与技术(可授工学、理学学位)]
主 题:knowledge-based scheduling complex systems
摘 要:Scheduling problems are becoming more and more complex everyday. This makes the current rules and algorithms difficult to comply with the requirements. New machines with the capabilities of processing more than one jobs is being developed. Sometimes one job is divided into parts and processed by more than one machine at the same time. These make the current algorithms insufficient. Artificial intelligence technologies, especially expert systems are proven to deal with such dynamic complex problems in several domains. In this study, an example of such a complex problem is introduced and knowledge-based scheduling for these kind of problems is elaborated with a real life industrial example.