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A Causal Matrix-based Method for Key Process Identification: Case Study in Heavy Medium Coal Preparation

Volume 14, Number 6, June 2018, pp. 1341-1351
DOI: 10.23940/ijpe.18.06.p26.13411351

Qingwen Yuana, Zhaojun Lib, Shun Jiac,d,e, and Zhenzhen Jinc

aDepartment of Finance and Economics, Shandong University of Science and Technology, Jinan, Shandong, 250031, China
bDepartment of Industrial Engineering and Engineering Management, Western New England University, Springfield, Massachusetts, 01119, USA
cDepartment of Industrial Engineering, Shandong University of Science and Technology, Qingdao, 266590, China
dState Key Laboratory of Mining Disaster Prevention and Control, Shandong University of Science and Technology, Qingdao, 266590, China
eNational Demonstration Center for Experimental Mining Engineering Education (Shandong University of Science and Technology), Qingdao, 266590, China

(Submitted on March 17, 2018; Revised on April 21, 2018; Accepted on May 28, 2018)


In order to identify key processes in coal mining and preparation processes for optimized process control and quality improvement, a modified causal matrix method is proposed to reduce quality defects and avoid unnecessary investments. The limitations of existing key processes identification methods are reviewed with the identified key process identification requirements in the context of the coal mining industry. The Key Process Identification Method of Coal Preparation (CP-KPIM) is proposed based on a redesigned causal matrix method, which considers four aspects, i.e., the systematic production data set, multi-dimension quality measures, the correlation between processes and quality characteristics, and a unified total process criticality assessment method. The implementation steps of CP-KPIM are demonstrated in details through a case study in a heavy medium coal preparation plant. Based on the total process criticality assessments, eleven key processes were identified from a total of fifty-three processes. In addition, the CP-KPIM has demonstrated significant productivity improvement through the process capability analysis.


References: 23

        1. Y. L. Kuang, “Management of Coal Preparation plant,” China University of Mining and Technology Press,2011.
        2. C. X. Zhao, and G.S Ye, “Study of heavy-medium coal preparation process control model and control algorithm,” Journal of China Coal Society, no. S1, pp. 196-200, 2000
        3. J. Hu, Z.C. Wang, and F.Z. Wang, “Control of Heavy Medium Coal Preparation Process Based on Fuzzy Control Theory,” Coal Science and Technology, no. 3, pp. 116-119, 2011
        4. M.Z. Liu, and L. Ren, “Manufacturing quality control model oriented to product,” Computer Integrated Manufacturing Systems, vol. 10, no. 7, pp. 764-768, 2004
        5. Z.C. Liu, J. H. Zou, and Y.Q Fan, “Definition & management of key characteristics in aircraft manufacturing,” Computer Integrated Manufacturing Systems, vol. 13, no. 10, pp. 2013-2018, 2007
        6. L. Mathieu, and B. Marguet, “Integrated design method to improve productivity based on product key characteristics and assembly sequences,” CIRP Annals-Manufacturing Technology, vol. 50, no. 1, pp. 85-88, 2001
        7. Y. H. Ma, J. Lv, J. Mu, and Zhang Y. , “The Application Investigation of C&E Matrix and FMEA in Setting,” 2014
        8. J. Kim, Q.Huang, and J. Shi, “Latent variable based key process variable identification and process monitoring for forging,” Journal of Manufacturing Systems, vol. 26, no. 1, pp. 53-61, 2007
        9. C. Bos, M.G. Mecozzi, D.N. Hanlon, M.P. Aarnts, and J.Sietsma, “Application of a Three-Dimensional Microstructure Evolution Model to Identify Key Process Settings for the Production of Dual-Phase Steels,” Metallurgical and Materials Transactions A , 2011,42(12):3602-3610.
        10. X. W. Chu, “The Extraction Method of Key Process for SPC,” Equipment Technology, no. 4, pp. 007,2012
        11. J. Liu, “Defining the Key Processes of HIC Using QFD Method to Implement SPC,” Electronic Product Reliability and Environmental Testing, vol. 30, no. 2, pp. 43-47, 2012
        12. L. Y. Shan, W.X.Ji, and J. Yu, “Process Quality Control Methods for The Manufacture of High-Performance Parts,” Modern Manufacturing Engineering, no. 12, pp. 60-64, 2013
        13. L. Y. Wang, J.F. Tang, and J. Gong, “Quality Control of Key Stages During Cold Roller Machining Procedure,” Journal of Northeastern University (Natural Science), no. 6, pp. 786-789, 2009
        14. G. P. Fan, “Quality Control of Key Procedure in Manufacturing,” Mechanical Engineer, no. 3, pp. 65-66, 2009
        15. R. Z. Tang, G.D. Wang, W.D. Tang, and S. Jia, “Key process identification method for workshop quality management,” Journal of Zhejiang University (Engineering Science), no. 11, pp. 002, 2012
        16. M. Degerman, K. Westerberg, and B. Nilsson, “Determining Critical Process Parameters and Process Robustness in Preparative Chromatography–A Model‐Based Approach,” Chemical engineering & technology, vol. 32, no. 6, pp. 903-911, 2009
        17. H. J. Zhang, “Website Analysis: Website Management, Optimization, and Operations Driven by Data,” China Machine,2013.
        18. A. X. Zhao, “Research on Improving Production Efficiency Based on Six SIGMA,” Manufacturing Information Engineering of China, vol. 38, no. 11, pp. 6-10 2009,38(11):6-10.
        19. T. T. Allen, S.H. Tseng, K. Swanson, and M.A. McClay, “Improving the hospital discharge process with Six Sigma methods,” Quality Engineering, vol. 22, no. 1, pp. 13-20, 2009
        20. X. F. Yao, “100 Excellent Control Tools of Quality,” Posts and Telecom,2004.
        21. Q. Zhang, G.C. Zheng, and J.L. Wang, “Application of total quality management in coal preparation plan,” Clean Coal Technology, no. 1, pp. 115-117, 2013
        22. L. P. Shi, “Quality Management,” Harbin Engineering University Press,2002.
        23. Z. Dou, “Research on Application of Process Capability Analysis in Manufacturing,” Chinese Journal of Power Sources, vol. 33, no. 10, pp. 896-898, 2009


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