A new knowledgeable encapsulation method of steel production scheduling model. (December 2020)

• Record Type: Journal Article
• Authors: Chen, Xiaowu; Jiang, Guozhang; Li, Gongfa; Zuo, Ying; Xiang, Feng
• Is Part Of: Proceedings of the Institution of Mechanical Engineers. Volume 234:Number 14(2020)
• Page Start: 1673
• Page End: 1685
• Publication Date: 2020-12
• Subjects: Steel scheduling -- scheduling model -- knowledgeable encapsulation -- model knowledge -- model encapsulation; Mechanical engineering -- Periodicals; Engineering -- Management -- Periodicals; Manufacturing processes -- Periodicals; 629.8
• DOI: 10.1177/0954405420944813
• Languages: English
• ISSNs: 0954-4054

Abstract

The steel production scheduling is a typical continuous/discrete hybrid process; it is dynamic and difficult to predict. The scheduling model is the core object of steel production scheduling, and its modeling methods directly affect the precise decision-making and execution efficiency of scheduling. However, the current linear program and simulation model do not yet realize the scheduling model quick reuse and dynamic construction. Therefore, a new model knowledgeable encapsulation method is proposed, which consists of a knowledgeable encapsulation framework and knowledgeable mapping method. The knowledgeable encapsulation framework includes the model knowledge description interface, model knowledge publication interface, model knowledge behavior interface, and a web platform. The interfaces and the platform are designed to help model providers to encapsulate the scheduling model in an open network environment. The mapping method is constructed to strengthen the relationship between the model knowledge. Finally, a knowledge encapsulation platform is established to verify the effectiveness of the model knowledge encapsulation method.