TY - GEN
T1 - A New Method of Resource-Scheduling-Strategy Generation for the Assembly of Complex Products Based on the Apriori Algorithm
AU - Wu, Ying
AU - Yao, Liya
AU - Liu, Jianhua
AU - Zhuang, Cunbo
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2019/4/12
Y1 - 2019/4/12
N2 - Complex products, which usually have the characteristics of single or small-batch production and involving many parts, exist a lot of resource-scheduling problems. Since its resource scheduling is often carried out by workers according to their experience, it has poor credibility and applicability without any reference standards. This paper analyzes the assembly process of complex products, classifies the assembly resources, and establishes the resource scheduling model of complex products based on the Apriori association rule algorithm. Additionally, the model is tested by the historical data of workshop resource allocation. The resource-scheduling-strategy of assembly process is obtained in this paper. It provides references for the future works of intelligently generating the resource-scheduling-strategy of complex-product assembly process.
AB - Complex products, which usually have the characteristics of single or small-batch production and involving many parts, exist a lot of resource-scheduling problems. Since its resource scheduling is often carried out by workers according to their experience, it has poor credibility and applicability without any reference standards. This paper analyzes the assembly process of complex products, classifies the assembly resources, and establishes the resource scheduling model of complex products based on the Apriori association rule algorithm. Additionally, the model is tested by the historical data of workshop resource allocation. The resource-scheduling-strategy of assembly process is obtained in this paper. It provides references for the future works of intelligently generating the resource-scheduling-strategy of complex-product assembly process.
KW - Apriori algorithm
KW - Assembly process
KW - Association rules mining
KW - Complex products
KW - Resource-scheduling-strategy
UR - http://www.scopus.com/inward/record.url?scp=85064965171&partnerID=8YFLogxK
U2 - 10.1109/CCIS.2018.8691374
DO - 10.1109/CCIS.2018.8691374
M3 - Conference contribution
AN - SCOPUS:85064965171
T3 - Proceedings of 2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2018
SP - 537
EP - 541
BT - Proceedings of 2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2018
Y2 - 23 November 2018 through 25 November 2018
ER -