Abstract
Lean practices support each other by different weight values, forming a relationship network, which are a directed-weighted lean practices relationship network (referred to as DWLPRN) and a network system. This network system influences the implementation of lean practice. In this study, a system influence model was developed to reveal the framework and degree of network system influence to lean practice. This model need to structure DWLPRN, search on the maximum-weight lean practice tree and calculate relationship difficulty degree. And, the structured approach was created to conduct the system influence model. Practical use was shown in the actual DWLPRN obtained from a manufacturing cell. It provides reliability and effectiveness of this system influence model, which helps the lean production reform.
Research is supported by the National Natural Science Foundation of China (No. 71332003), the National High-Tech. R&D Program of China (No. 2015AA042101), and the key program of the Engineering Research Center of Complex Product Advanced Manufacturing System, Ministry of Education.
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© 2016 Springer Science+Business Media Singapore
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Liang, Y., Shan, S., Qiao, L., Yang, G. (2016). Modeling and Application on System Influence to Lean Practice Based on Relationship Network. In: Zhang, L., Song, X., Wu, Y. (eds) Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems. AsiaSim SCS AutumnSim 2016 2016. Communications in Computer and Information Science, vol 643. Springer, Singapore. https://doi.org/10.1007/978-981-10-2663-8_70
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DOI: https://doi.org/10.1007/978-981-10-2663-8_70
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