A modified fuzzy approach to prioritize project activities

Authors

  • Sunny Joseph Kalayathankal
  • Joseph Varghese Kureethara
  • John T. Abraham

DOI:

https://doi.org/10.14419/ijet.v7i2.6.10143

Published:

2018-03-11

Keywords:

Activity prioritizing, Fuzzy ranking, Project management, Fuzzyfication, Fuzzy soft sets.

Abstract

Project management is an important task in business although project is not just confined to business. Due to the uncertainty of the various variables involved in a project, over several past decades research is going on in the search for an efficient project management model. Although numerous crisp models are easily implementable, the potential of fuzzy models are huge. In the case of software development, the variables involved are highly dynamic. In this paper, we propose a ranking based fuzzy model that can prioritize various activities. We use a popular crisp model to test the effectiveness of the fuzzy model proposed. Simulation is done through Java Server Pages (JSP). There is considerable computational and managerial advantage in implementing the fuzzy model.

References

[1] Anantatmula, V. S. (2010),“Project manager leadership role in improving project performanceâ€, Engineering Management Journal, 22(1), 13-22.

[2] Cambridge Advanced Learner’s Dictionary, (2008).

[3] Chang, T. C. andIbbs, C. W.(1990),“Priority ranking—A fuzzy expert system for priority decision making in building construction resource schedulingâ€,Building and Environment, 25, 253–267.

[4] Chen, S.J. and Chen, S.M. (2003), “A new method for handling multicriteria fuzzy decision-making problems using FN-IOWA operatorsâ€,Cybernetics and Systems: An International Journal, 34, 109–137.

[5] Chen, S. J. and Hwang, C. L. (1992), Fuzzy multiple attribute decision making methods and applications. Berlin, Germany: Springer-Verlag.

[6] Chen, Y.H. (1996), “Fuzzy ratings in mechanical engineering design–application to bearing selectionâ€,Proceedings of Institution of Mechanical Engineers, 210, 49–53.

[7] Chen, Y. H. (1997), “Determining parting direction based on minimum bounding box and fuzzy logicâ€,International Journal of Machine Tools Manufacture, 37,1189–1199.

[8] Clarke, A. (1999). A practical use of key success factors to improve the effectiveness of project management. International journal of project management, 17(3), 139-145.

[9] Cook, W. D. and Green, R. H. (2000), “Project prioritization: A resource-constrained data envelopment analysis approachâ€,Socio-Economic Planning Sciences, 34, 85–99.

[10] Cooke-Davies, T. (2002), The “real†success factors on projects. International journal of project management, 20(3), 185-190.

[11] Dias, L. C. andMoussea, V.(2003), “IRIS: A DSS for multiple criteria sorting problemsâ€, Journal of Multi-Criteria Decision Analysis 12,285–298.

[12] Green, R. H., Doyle, J. R. and Doyle, J. R. (1996), “Preference voting and project ranking using DEA and cross-evaluationâ€,European Journal of Operational Research, 90, 461–472.

[13] Jha, K. N. andMisra, S. (2007), “Ranking and classification of construction coordination activities in Indian projectsâ€,Construction Management and Economics, 25, 409–421.

[14] Kerzner, H., &Kerzner, H. R. (2017), Project management: a systems approach to planning, scheduling, and controlling. John Wiley & Sons.

[15] Lam, E. W. M., Chan, A. P. C. and Chan, D. W. M. (2008), “Determinants of successful design-build projectsâ€,Journal of Construction Engineering and Management, 134, 333–341.

[16] Lim, C. S., & Mohamed, M. Z. (1999),“Criteria of project success: an exploratory re-examinationâ€, International journal of project management, 17(4), 243-248.

[17] Maji, P.K. Biswas, R. A. and Roy,R. (2001), “Fuzzy Soft setsâ€,The Journal of Fuzzy Mathematics, 9(3), 589-602.

[18] Mavrotas, G., Diakoulaki, D. and Caloghirou, Y. (2006), “Project prioritization under policy restrictions. A combination of MCDA with 0–1 programmingâ€,European Journal of Operational Research, 171, 296–308.

[19] Molodtsov, D. (1999), “Soft Set Theory-First Resultsâ€, Computers and Mathematics with Applications, 37, 19 - 31.

[20] Mota, C. M. M., Almeida, A. T. and Alencar, L. H. (2009), “A multiple criteria decision model for assigning priorities to activities in project managementâ€,International Journal of Project Management, 27, 175–181.

[21] Oliveira, K. B., Oliveira, J. M. M. and Filho, R. H.Ranking projects using multivariate statistics. In Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering, edited by K. Elleithy. Dordrecht, The Netherlands: Springer, (2008).

[22] Oral, M., Kettani, O., and Lang, P.(1991), “A methodology for collective evaluation and selection of industrial R&D projectsâ€,Management Science,37, 871–885.

[23] Pinto, J. K.and Slevin, D. P. (1987),“Critical factors in successful project implementationâ€, IEEE transactions on engineering management, 1, 22-27.

[24] Sowlati, T., Paradi, J. C. and Suld, C. (2005), “Information systems project prioritization using data envelopment analysisâ€,Mathematical and Computer Modelling, 41, 1279–1298.

[25] White, D.and Fortune, J. (2002),“Current practice in project management—An empirical studyâ€, International journal of project management, 20(1), 1-11.

[26] Yao, J. S. and Wu, K. (2000), “Ranking fuzzy numbers based on decomposition principle and signed distanceâ€,Fuzzy Sets and Systems, 116, 275–288.

[27] Youker, R. (1999, October). “The difference between different types of projectsâ€, In Proceedings of the 30th Annual Project Management Institute 1999 Seminars & Symposium, Philadelphia, PA, USA.

[28] Zadeh, L. A. (1965), Information and control. Fuzzy sets, 8(3), 338-353.

View Full Article: