Open Access
MATEC Web Conf.
Volume 95, 2017
2016 the 3rd International Conference on Mechatronics and Mechanical Engineering (ICMME 2016)
Article Number 10007
Number of page(s) 4
Section Manufacturing and Industrial Production
Published online 09 February 2017
  1. Anjoran, R.. 15 Ways to Avoid Problems With Your Suppliers (2011) [Google Scholar]
  2. Vivek, N. Quality Management System Handbook for Product Development Companies (pp. 1–22). New York: CRC Press (2005) [Google Scholar]
  3. Hessel Schuurman. Quality Management and Competitiveness The Diffusion of The ISO 9000 Standards in Latin America and Recommendations for Government Strategies (1977) [Google Scholar]
  4. Kao, T. Human factors in quality inspection process. 1–5 (2003) [Google Scholar]
  5. Davis, S. B. G. D.. Introduction to Total Quality Management for Production, Processing, and Services (3rd ed.). United States: Prentice Hall (2000) [Google Scholar]
  6. Wu, H. Y., Chuang, C. L., Kung, Y. S., & Lin, R. H.. Determination of optimal inspection sequence within misclassification error bound. Expert Systems with Applications, 38(5), 5366–5372 (2011) [CrossRef] [Google Scholar]
  7. Vienna. The Influence of The Workplace On Perceived Quality (2011) [Google Scholar]
  8. Nzonzo, J. C. Training and Development Practices In An Organisation : An Intervention To Enhance Organisational Effectiveness, 2(4), 187–198 (2011) [Google Scholar]
  9. Yu, H.-F., Yu, W. C., & Wu, W. P. A mixed inspection policy for CSP-1 and precise inspection under inspection errors and return cost. Computers & Industrial Engineering, 57(3), 652–659 (2009) [CrossRef] [Google Scholar]
  10. Kao, T. (2003). Human factors in quality inspection processes, 1–5 (2003) [Google Scholar]
  11. Hessel Schuuman. Quality Management and competitiveness The Diffusion of The ISO 9000 Standards in Latin America and Recommendations for Government Strategies (1997) [Google Scholar]
  12. Dhillon, B. S., & Liu, Y. Human error in maintenance: a review. Journal of Quality in Maintenance Engineering, 12(1), 21–36 (2006) [CrossRef] [Google Scholar]
  13. Su, L.-H., & Tsai, H.-L. Flexible preventive maintenance planning for two parallel machines problem to minimize makespan. Journal of Quality in Maintenance Engineering, 16(3), 288–302 (2010) [CrossRef] [Google Scholar]
  14. Sondalini, M. 6 Ways to Improve Maintenance and Production, 1–5 (2002) [Google Scholar]
  15. Shin, Sangman, Jung Tae Kim, and Yun SuChoi.. “Rubber Composition for Tire Tread and Tire Manufactured by Using the Same.” U.S. Patent No. 20, 150, 299, 436 (2015) [Google Scholar]
  16. Besterfield, D. H. Quality Control. Eight Edit., pp. 77–109). New Jersey: Southern Illinois University (2009) [Google Scholar]
  17. Vrat. Prem. “Material Specification, Codification, and Standardization.” Materials Management. Springer India. 211–224 (2014) [Google Scholar]
  18. Bamford, D. R., & Greatbanks, R. W. The use of quality management tools and techniques: a study of application in everyday situations. International Journal of Quality & Reliability Management, 22(4), 376–392 (2005) [CrossRef] [Google Scholar]
  19. Henley, Amy J., et al. “Quantifying efficacy of workplace reinforcers: An application of behavioral economic demand to evaluate hypothetical work performance.” Translational Issues in Psychological Science 2.2: 174 (2016) [CrossRef] [Google Scholar]
  20. Sultana, F., Science, C., Road, P., Razive, N. I., Tower, G., & Azeem, A. Implementation of Statistical Process Control (SPC) For Production Data Control Chart Pareto Chart Pivot Chart Data Analysis Maintenance Communication Electrical Findings, M(1), 15–21 (2009) [Google Scholar]
  21. Way, F. Improve your machines and manufacturing processes: Milo, Christian, and Werner Grosch. “Changes in the odorants of boiled salmon and cod as affected by the storage of the raw material.” Journal of Agricultural and Food Chemistry 44.8: 2366–2371 (2009) [Google Scholar]
  22. Gu, Ben J., et al. “A quantitative method for measuring innate phagocytosis by human monocytes using real‐time flow cytometry.” Cytometry Part A 85.4: 313–321 (2014) [CrossRef] [Google Scholar]

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