TY - GEN
T1 - Real-time performance analysis of industrial serial production systems with flexible manufacturing
AU - Zhang, Yan
AU - Jia, Zhiyang
AU - Dai, Yaping
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - Production systems engineering is a branch of engineering developed to find the basic properties and operation rules of the production systems. Extensive research has been investigated in the past several decades to evaluate the performance of systems under rigid production mode. Based on the deployment of the new manufacturing strategies, such as 'Industry 4.0' proposed by German Government, 'Advanced Manufacturing Partnership 2.0' proposed by United States Government, as well as 'Made in Chine 2025', real-time performance analysis, continuous improvement and efficient production management of flexible production systems are urgently to be thoroughly investigated. In this paper, we study the industrial serial production systems with flexible manufacturing, i.e., producing different types of products with finite production runs on the same production line, by equipment adjustments and setups. Specifically, we derive the mathematical model and analytical formulae to evaluate the performance measures of interest, such as Production Rates, Consumption Rates, as well as Completion Times, of different batch-based production tasks, for the system with Bernoulli machines and finite buffer capacities.
AB - Production systems engineering is a branch of engineering developed to find the basic properties and operation rules of the production systems. Extensive research has been investigated in the past several decades to evaluate the performance of systems under rigid production mode. Based on the deployment of the new manufacturing strategies, such as 'Industry 4.0' proposed by German Government, 'Advanced Manufacturing Partnership 2.0' proposed by United States Government, as well as 'Made in Chine 2025', real-time performance analysis, continuous improvement and efficient production management of flexible production systems are urgently to be thoroughly investigated. In this paper, we study the industrial serial production systems with flexible manufacturing, i.e., producing different types of products with finite production runs on the same production line, by equipment adjustments and setups. Specifically, we derive the mathematical model and analytical formulae to evaluate the performance measures of interest, such as Production Rates, Consumption Rates, as well as Completion Times, of different batch-based production tasks, for the system with Bernoulli machines and finite buffer capacities.
KW - Bernoulli machine
KW - Finite production run
KW - Flexible manufacturing
KW - Production system
KW - Real-time performance analysis
UR - http://www.scopus.com/inward/record.url?scp=85067118840&partnerID=8YFLogxK
U2 - 10.1109/SCIS-ISIS.2018.00069
DO - 10.1109/SCIS-ISIS.2018.00069
M3 - Conference contribution
AN - SCOPUS:85067118840
T3 - Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018
SP - 360
EP - 365
BT - Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018
Y2 - 5 December 2018 through 8 December 2018
ER -