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Engineering projects real-time supervision mechanism based on grid management

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Abstract

This paper proposes an innovative supervision method that can provide project supervisors with real-time supervision of engineering projects and contractor activity. To obtain real-time and comprehensive state of project, we use grid management to divide the project supervision grid in three levels: stage, objective, and milestone. Then, a detailed supervision mechanism is designed to help supervisors measure the project situation in real time. This mechanism checks that if the project objectives (such as schedule, cost, quality, and safety) in every supervision grid cell are under the healthy limits, any project deviation can be identified as soon as possible. A schedule objective is selected as an example to illustrate the method used to calculate the healthy limit.

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References

  1. Neitzel R L, Seixas N S, Ren K K. A review of crane safety in the construction industry [J]. Applied Occupational and Environmental Hygiene, 2001, 16(2): 1106–1117.

    Article  Google Scholar 

  2. Yakubu O, Sun M. Cost and time control of construction projects in the UK [C]// Proceedings of 2007 International Conference on Construction and Real Estate Management. Bristol, England: [s.n.], 2007: 278–286.

    Google Scholar 

  3. Sun J, Zhang L, Huang J F, et al. Comparison of the role of supervising engineer in construction project contract conditions: An analysis in the field of process in payment of project funds [C]// Proceedings of 2nd International Conference on Engineering and Business Management. Wuhan, China: [s.n.], 2011: 1176–1180.

    Google Scholar 

  4. Khayyam H, Ranjbarzadeh H, Marano V. Intelligent control of vehicle to grid power [J]. Journal of Power Sources, 2012, 201: 1–9.

    Article  Google Scholar 

  5. Foster I, Kesselman C. The grid: Blueprint for a new computing infrastructure [M]. San Mateo, CA: Morgan Kaufmann, 1999.

    Google Scholar 

  6. Butt A R, Adabala S, Kapadia N H, et al. Gridcomputing portals and security issues [J]. Journal of Parallel and Distributed Computing, 2003, 63(10): 1006–1014.

    Article  MATH  Google Scholar 

  7. Chervenak A, Foster I, Kesselman C, et al. The data grid: Towards an architecture for the distributed management and analysis of large scientific datasets [J]. Journal of Network and Computer Applications, 2000, 23(3): 187–200.

    Article  Google Scholar 

  8. Grimshaw A S, Humphrey M A, Natrajan A. A philosophical and technical comparison of Legion and Globus [J]. IBM Journal of Research and Development, 2004, 48(2): 233–254.

    Article  Google Scholar 

  9. Jagatheesan A. An introduction to data grid management systems [C]// Proceedings of 6th International Conference on Web Information Systems Engineering (WISE 2005). New York, NY, USA: WISE, 2005: 764–764.

    Google Scholar 

  10. Lü Zhi. The quality management of RID-Based information management system project [D]. Beijing, China: School of Economics and Management, Beijing University of Post and Telecommunication, 2010 (in Chinese).

    Google Scholar 

  11. Chen Ping. Gridding urban management model [M]. Beijing, China: Peking University Press, 2006 (in Chinese).

    Google Scholar 

  12. Xue X L, Li X D, Shen Q P, et al. An agent-based framework for supply chain coordination in construction [J]. Automation in Construction, 2005, 14(3): 413–430.

    Article  Google Scholar 

  13. Busch T. Attitudes towards management by objects: An empirical investigation of self-efficacy and goal commitment [J]. Scandinavian Journal of Management, 1998, 14(3): 289–299.

    Article  Google Scholar 

  14. Andersen E S. Warning: Activity planning is hazardous to your project’s health! [J]. International Journal of Project Management, 1996, 14(2): 89–94.

    Article  Google Scholar 

  15. Malinen H. Project management by results [J]. International Journal of Project Management, 1984, 14(4): 207–210.

    Article  Google Scholar 

  16. Girmscheid G. Construction production theory: Planning and control of the construction production process [J]. Bauingenieur, 2008, 83: 36–48.

    Google Scholar 

  17. Geekie A, Steyn H. Buffer sizing for the critical chain project management method [J]. South African Journal of Industrial Engineering, 2008, 19(1): 73–88.

    Google Scholar 

  18. Jagathipriya, Byali R P, Kannan M V. Critical chain project management: A new project management philosophy for multi project environment [J]. Journal of Spacecraft Technology, 2008, 18(1): 30–36.

    Google Scholar 

  19. Tukel O I, Rom W O, Eksioglu S D. An investigation of buffer sizing techniques in critical chain scheduling [J]. European Journal of Operational Research, 2006, 172(2): 401–416.

    Article  MATH  Google Scholar 

  20. Trietsch D. The effect of systemic errors on optimal project buffers [J]. International Journal of Project Management, 2005, 23(4): 267–274.

    Article  Google Scholar 

  21. Vanhoucke M. On the dynamic use of project performance and schedule risk information during project tracking [J]. Omega-International Journal of Management Science, 2011, 39(4): 416–426.

    Article  Google Scholar 

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Authors and Affiliations

  1. School of Economics and Management, North China Electric Power University, Beijing, 102206, China

    Yun-na Wu  (乌云娜), He-yun Dong  (董鹤云), Hao-bo Zhang  (张昊渤) & Jin-ying Zhang  (张金颖)

Authors
  1. Yun-na Wu  (乌云娜)
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  2. He-yun Dong  (董鹤云)
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  3. Hao-bo Zhang  (张昊渤)
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  4. Jin-ying Zhang  (张金颖)
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Corresponding author

Correspondence to He-yun Dong  (董鹤云).

Additional information

Foundation item: the National Natural Science Foundation of China (No. 71271085) and the Beijing “12th Five-Year Plan” Project of Philosophy and Social Sciences (No. 12JGB044)

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Wu, Yn., Dong, Hy., Zhang, Hb. et al. Engineering projects real-time supervision mechanism based on grid management. J. Shanghai Jiaotong Univ. (Sci.) 19, 502–507 (2014). https://doi.org/10.1007/s12204-014-1531-5

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  • DOI: https://doi.org/10.1007/s12204-014-1531-5

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