LP’s Implementation Ability Analysis Based on Improved Fuzzy Model

Abstract:

The enterprises of China have known lean production for nearly 30 years. With the growth of its application scope, it is necessary to put forward one method to measure lean production’s implementation ability. Because without scientific measurement, enterprises can’t find the existing problems or waste sources, so it is hard for them to realize continuous improvement. Under this background, this paper applies fuzzy theory into LP’s implementation ability appraisal. Meanwhile considering the flaws of fuzzy theory, one improved model is put forward. After relative introduction to the improved model, one case is displayed. Through this example, this paper shows the calculation procedure of this model as well as its scientific, reasonability.

• Periodical: Advanced Materials Research (Volumes 433-440)
• Pages: 2167-2171
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.433-440.2167
• Online since: January 2012
• Authors: Hong Liang Zhang, Zhan Wen Niu
• Keywords: Case Study, Implementation Ability, Improved Fuzzy Model, Lean Production

References

[1] Rachna Shah, Peter T. Ward . Defining and developing measures of lean production [J] Journal of operations management, 2007, vol25 (4): 785-805.

DOI: 10.1016/j.jom.2007.01.019

[2] Kakuro Amasaka. New JIT,: A new management technology principle at Toyota[J]. International Journal of Production Economics, 2002, 80(2): 135-144.

DOI: 10.1016/s0925-5273(02)00313-4

[3] M.E. Bayou,A. de Korin. Measuring the leanness of manufacturing systems- a case study of Ford company and General motors. Eng. Tecnol. Manage, 2008, (25): 287-304.

DOI: 10.1016/j.jengtecman.2008.10.003

[4] [Zhang Hongliang. LP's implementation ability analysis for China's industry enterprises [D]. Tianjin: Tian Jin University, (2010).

[5] James P. Womack, Daniel T. Jones, Daniel Roos. The machine that changed the world [M]. SIMON & SCHUSYER Press, (1990).

[6] Yin Fucheng, Fan, Yongcun, Feng Xiangyong. Application of improved model of fuzzy mathematics for clay classification[J]. Journal of Northeast Agricultural University, 2009, vol 40(1): 115-118.

[7] Guan Jun, Li Jing-wen. Measurement of manufacturing system flexibility with fuzzy set theory[J]. Journal of WuHan University of Technology, 2009, vol31(13): 153-156.

[8] Wang Rong, Zhang Yunfeng. The application of fuzzy group decision making method to the logistics providers choosing problem[J]. Industrial Engineering and Management, 2009(1): 19-23.

[9] Sun Hongcai, Xu Guanyao, Tian Ping. Design alternatives evaluation of emergency bridge by applying ANP[J]. Systems Engineering - Theory & Practice, 2007(3): 63-70.

DOI: 10.1016/s1874-8651(08)60025-3