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Fuzzy finish time modeling for project scheduling

Fuzzy finish time modeling for project scheduling
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摘要 This research aims at developing a new fuzzy activity finish time estimation model for project scheduling management.With the application of the fuzzy quality function deployment (FQFD) and fuzzy analytic hierarchy process (FAHP) methods,the degree of fuzziness for every project activity is calculated in accordance with considerations of project uncertainties.These uncertainties are measured by the risk level of such project-related characteristics as time limit,activity start time,budget,manpower,technological difficulty,and facility requirements.In this paper,rather than applying the de-fuzzification technique to obtain the crisp activity duration for project scheduling,the fuzzy finish time estimation method for every activity is proposed based on the degree of fuzziness.The corresponding fuzzy activity duration time plot is also developed in a new fuzzy Gantt chart.The proposed model can provide a reasonable fuzzy finish time estimation for every activity,while most scheduling methods only provide the finish time of the entire project.Compared to existing models,this time estimation model and its corresponding Gantt chart are predicted to have higher reliability and practical application in project management and scheduling. This research aims at developing a new fuzzy activity finish time estimation model for project scheduling management.With the application of the fuzzy quality function deployment （FQFD） and fuzzy analytic hierarchy process （FAHP） methods,the degree of fuzziness for every project activity is calculated in accordance with considerations of project uncertainties.These uncertainties are measured by the risk level of such project-related characteristics as time limit,activity start time,budget,manpower,technological difficulty,and facility requirements.In this paper,rather than applying the de-fuzzification technique to obtain the crisp activity duration for project scheduling,the fuzzy finish time estimation method for every activity is proposed based on the degree of fuzziness.The corresponding fuzzy activity duration time plot is also developed in a new fuzzy Gantt chart.The proposed model can provide a reasonable fuzzy finish time estimation for every activity,while most scheduling methods only provide the finish time of the entire project.Compared to existing models,this time estimation model and its corresponding Gantt chart are predicted to have higher reliability and practical application in project management and scheduling.
作者 Yu-chuan LIU Shih-ming YANG Yu-te LIN
机构地区 Department of Information Management Department of Aeronautics and Astronautics
出处 《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 SCIE EI CAS CSCD 2010年第12期946-952,共7页 浙江大学学报（英文版）A辑（应用物理与工程）
关键词 Fuzzy quality function deployment (FQFD) Fuzzy analytic hierarchy process (FAHP) Fuzzy Gantt chart Project management Project scheduling Fuzzy quality function deployment （FQFD）,Fuzzy analytic hierarchy process （FAHP）,Fuzzy Gantt chart,Project management,Project scheduling
分类号 TP273 [自动化与计算机技术—检测技术与自动化装置]
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参考文献28

  • 1Ash, R.C., Pittman, P.H., 2008. Towards holistic project scheduling using critical chain methodology enhanced with PERT buffering. International Journal of Project Organization and Management, 1(2):185-203. [doi:10. 1504/IJPOM.2008.022191].
  • 2Azaron, A., Perkgoz, C., Sakawa, M., 2005. A genetic algorithm approach for the time-cost trade-off in PERT networks. Applied Mathematics and Computation, 168(2): 1317-1339. [doi:10.10161j.amc.2004.10.025].
  • 3Azaron, A., Katagiri, H., Sakawa, M., Kato, K., Memariani, A., 2006. A multi-objective resource allocation problem in PERT networks. European Journal of Operational Research, 172(3):838-854. [doi:10.10161/.ejor.2004.11.018].
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  • 9Chen, S.R, 2007. Analysis of critical paths in a project network with fuzzy activity times. European Journal of Operational Research, 183(1):442-459. [doi: 10. 1016/j.ejor.2006. 06.053].
  • 10Chen, Y., Fung, R.Y.K., Tang, J., 2006. Rating technical attributes in fuzzy QFD by integrating fuzzy weighted average method and fuzzy expected value operator. European Journal of Operational Research, 174(3): 1553-1566 [doi: 10.1016/j .ejor.2004.12.026].
Journal of Zhejiang University-Science A(Applied Physics & Engineering)
2010年 第12期

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