Journal of Internet Computing and Services (인터넷정보학회논문지)

Korean Society for Internet Information (한국인터넷정보학회)
권호 표지
DOI QR코드

DOI QR Code

Project Performance Evaluation and Workload Monitoring Technique by Using Input/Output Bipolar Diagram

  • Received : 2017.03.17
  • Accepted : 2017.06.29
  • Published : 2017.08.31
Download PDF
⟨ Previous Next ⟩

Abstract

Company A, an embedded system manufacturer, provides its products to Company P which is the parent company of Company A. Both companies learned that they needed to find over 4,000 bugs before market release in order to meet the acceptable quality level. Traditionally, they had utilized time-series line graphs as their common performance measurement tool. These graphs compared accumulated numbers of bugs fixed with accumulated numbers of bugs found. Engineers in Company A had been under pressure to improve the process capacity because the line for bugs fixed was always below than the line for bugs found. By using a newly designed Bipolar diagram, engineers in Company A analyzed the process performance. And they were in a position to be more flexible for internal or inter-companies meeting. Authors explain an empirical study of a graphical and practical performance measurement tools relating to mainly the Bipolar diagram. As a result, the Bipolar diagram provides workload monitoring and performance measurement functions in a given timeframe by using the concepts of Optimum Process Line (or band) and Fair Process Capacity Zone.

Keywords

References

  1. J. J. Alfaro and et al., "Business process interoperability and collaborative performance measurement," International Journal of Computer Integrated Manufacturing, Vol. 22, No. 9, pp. 877-889, Sep. 2009. http://dx.doi.org/10.1080/09511920902866112
  2. A. Lockamy III and K. McCormack, "Analysing risks in supply networks to facilitate outsourcing decisions," International Journal of Production Research, Vol. 48, No. 2, pp. 593-611, Jan. 2010. http://dx.doi.org/10.1080/00207540903175152
  3. S. Ortiz Jr., "Taking Business Intelligence to the Masses," Computer, pp. 12-15, July 2010. http://dx.doi.org/10.1109/MC.2010.208
  4. D. A. Price, "The Dawn of a New ERA," DM Review, pp. 18-22, Feb. 2006.
  5. N. E. Cagiltay, G. Tokdemir, O. Kilic, D. Topalli, "Performing and analyzing non-formal inspections of entity relationship diagram(ERD)," The Journal of Systems and Software, Vol. 86, pp. 2184-2915, 2013. http://dx.doi.org/10.1016/j.jss.2013.03.106
  6. H. Ahn, KH. Pio Kim, "Treemapping Work-Sharing Relationships among Business Process Performers," Journal of Internet Computing and Services, Vol. 17, No. 4, pp. 69-77, Aug. 2016. http://dx.doi.org/10.7472/jksii.2016.17.4.69
  7. K. Bauer, "The CPM Dashboard - The Graphs, Designing an Effective Dashboard is like creating a Steven Spielberg Film," DM Review, pp. 68-71, June 2004.
  8. D. M. Raab, "Selecting Customer Value Dashboard Contents, Part 2," DM Review, pp. 12, March 2006.
  9. Z. G. Stoumbos, M. R. Reynolds, et al. "The state of statistical process control as we proceed into the 21st century," Journal of the American Statistical Association, Vol. 95, pp.992-998, 2000. http://dx.doi.org/10.1080/01621459.2000.10474292
  10. T. Sukchotrat, S.B. Kim and F. Tsung, "On-class classification-based control charts for multivariate process monitoring," IIE Transactions, Vol. 42, pp. 107-120, 2010. http://dx.doi.org/10.1080/07408170903019150
  11. S.A. Lesany, A. Koochakzadeh, S.M.T. Fatemi Ghomi, "Recognition and classification of single and concurrent unnatural patterns in control charts via neural networks and fitted line of samples," International Journal of Production Research, Vol. 52, No. 6, pp. 1771-1786, 2014. http://dx.doi.org/10.1080/07408170903019150
  12. J. G. Lee & S. R. Jeong, "A practical 1 Page Contextual Diagram for Monitoring Multiple Projects: An Empirical Study of an IT Organization," Journal of Internet Computing and Services, Vol. 17, No. 5, pp. 121-129, Oct. 2016. http://dx.doi.org/10.7472/jksii.2016.17.5.121
  13. G. Tsiotras, "Quality improvement for group work management process," Total Quality Management, Vol. 4, No. 3, pp. 257-260, 1993. https://doi.org/10.1080/09544129300000040
  14. H. T. Ingason, H. I. Jonasson, "Contemporary Knowledge and Skill Requirements in Project Management," Project Management Journal, Vol. 40, No. 2, pp. 59-69, 2009. http://dx.doi.org/10.1002/pmj.20122
  15. K. Schwalbe, Information Technology Project Management, Course Technology, International edition, 7th edition, pp. 8-9, 2014.
  16. J. Wickboldt, L. Bianchin, R. Lunardi, et al., "A framework for risk assessment based on analysis of historical information of workflow execution in IT systems," Computer Networks, Vol. 55, pp. 2954-2975, 2011. http://dx.doi.org/10.1016/j.comnet.2011.05.025
  17. R. T. de Oliveira Lacerda and et al., "Research Opportunities in Business Process Management and Performance Measurement from a Constructivist View," Knowledge and Process Management, Vol. 23, No. 1, pp. 18-30, 2016. http://dx.doi.org/10.1002/kpm.1495
  18. G. Parry and C. Turner, "Application of lean visual process management tools," Production Planning & Control, Vol. 17, No. 1, pp. 77-86, Jan. 2006. http://dx.doi.org/10.1080/09537280500414991
  19. Paul Harmon, "Business Process Change," pp. 139-142, Morgan Kaufmann Publishers, 2007
  20. H. Mckew, "Tomorrow's Environment: Dashboard without an Operator, " Engineered Systems, pp. 66, Nov. 2010.
  21. D. M. Wong, "Guide to Information Graphics," The Wall Street Journal, 2010.