TY - JOUR
T1 - A new knowledgeable encapsulation method of steel production scheduling model
AU - Chen, Xiaowu
AU - Jiang, Guozhang
AU - Li, Gongfa
AU - Zuo, Ying
AU - Xiang, Feng
N1 - Publisher Copyright:
© IMechE 2020.
PY - 2020/12/1
Y1 - 2020/12/1
N2 - 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.
AB - 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.
KW - Steel scheduling
KW - knowledgeable encapsulation
KW - model encapsulation
KW - model knowledge
KW - scheduling model
UR - https://www.scopus.com/pages/publications/85089191139
U2 - 10.1177/0954405420944813
DO - 10.1177/0954405420944813
M3 - 文章
AN - SCOPUS:85089191139
SN - 0954-4054
VL - 234
SP - 1673
EP - 1685
JO - Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
JF - Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
IS - 14
ER -