Abstract
In the Lean Intelligent Manufacturing Environment, Improving the level of workshop process layout is the foundation and key for rail transportation equipment manufacturing to improve efficiency and reduce costs. So, it is very important to establish a scientific and reasonable process layout evaluation system. Combining with the process layout features of rail vehicle assembly workshop, an evaluation indicator system including 4 first-level indicators, 13 second-level indicators and 26 third-level indicators is constructed. Group AHP and entropy weight method are used to calculate weights. Grey relational analysis is used to calculate gray correlation between the current state and the ideal level of each indicator, so as to achieve a quantitative evaluation. Three typical urban rail vehicle assembly workshops of CRRC are evaluated, and the evaluation results are consistent with the actual situation.
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References
Wang, W.L., Kang, Y.F.: Importance of process technology in smart machining line design and running controlling. Aeronaut. Manuf. Technol. 511, 48–51 (2016)
Yang, T., Kuo, C.: A hierarchical AHP/DEA methodology for the facilities layout design problem. Eur. J. Oper. Res. 147, 128–136 (2003)
Li, C.L., Li, C.G., Mok, A.C.K.: Automatic layout design of plastic injection mould cooling system. Comput. Aided Des. 37, 645–662 (2005)
Yang, L., Deuse, J.: Multiple-attribute decision making for an energy efficient facility layout design. Procedia CIRP 66, 795–807 (2013)
Zhang, N.: Research of the Evaluation of Workshop Facilities Layout Plans Based on Grey TOPSIS for Multi-variety and Small-batch Production. Chongqing University, Chongqing (2014)
Azadeh, A., Nazari, T., Charkhand, H.: Optimisation of facility layout design problem with safety and environmental factors by stochastic DEA and simulation approach. Int. J. Prod. Res. 53, 3370–3389 (2015)
Bozorgi, N., Abedzadeh, M., Zeinali, M.: Tabu search heuristic for efficiency of dynamic facility layout problem. Int. J. Adv. Manuf. Technol. 77, 689–703 (2015)
Wang, Y.L.: System Engineering. Version 5. Machinery Industry Press, Beijing (2015)
Mi, T.F., Tian, J.P., Yang, H.L.: Research on machine equipment selection based on fuzzy comprehensive evaluation. In: Combined Machine Tool and Auto-machining Technology, pp. 109–112 (2012)
Jiang, W.N.: The ideas and methods of determining experts’ weight in group decision. In: Statistics and Decision, pp. 18–24 (2013)
Acknowledgments
This work was supported by the Guidance Program for Natural Science Foundation of Liaoning (No. 20170540138).
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Tong, X., Sun, L., Guan, T. (2018). Research on the Process Layout Evaluation of Rail Vehicle Assembly Workshop in the Lean Intelligent Manufacturing Environment. In: Wang, S., Price, M., Lim, M., Jin, Y., Luo, Y., Chen, R. (eds) Recent Advances in Intelligent Manufacturing . ICSEE IMIOT 2018 2018. Communications in Computer and Information Science, vol 923. Springer, Singapore. https://doi.org/10.1007/978-981-13-2396-6_11
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DOI: https://doi.org/10.1007/978-981-13-2396-6_11
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