article

Fuzzy extended earned value management: A novel perspective

Authors:

Mostafa Salari,

Morteza Bagherpour,

Afshin KamyabniyaAuthors Info & Claims

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, Volume 27, Issue 3

Pages 1393 - 1406

Published: 01 May 2014 Publication History

Abstract

In project management context, the Earned Value Management (EVM) is a well-known technique. Despite its popularity, the standard EVM suffers from the absence of some features that require being focused further on to make this method more efficient. This paper is addressing such features specifically the financial aspects of cost control system. These aspects that have been absent in the standard EVM include the time value of money, delay in client payment and contractor cash flow in uncertain environment. The proposed model here utilizes fuzzy sets to deal with the uncertain conditions of real projects. It attempts to extend the theoretical framework of EVM to evaluate and control the financial performance of project and provide a new estimation of project total cost in presence of uncertainty. Finally, 6 case studies are presented to demonstrate how the proposed model can be implemented in real case projects.

References

[1]

P.M.I., Practice standard for earned value management, Project Management Institute, second edition, 2012.

[2]

B. Cooke and W.B. Jepson, Cost and financial control for construction firms, London: Macmillan, 1979.

[3]

A. Maravas and J.P. Pantouvakis, Project cash flow analysis in the presence of uncertainty in activity duration and cost, International Journal of Project Management 30(3) (2012), 374-384.

[4]

M.Y. Cheng, H.C. Tsai and C.L. Liu, Artificial intelligence approaches to achieve strategic control over project cash flows, Automation in construction 18(4) (2009), 386-393.

[5]

M.Y. Cheng and A.F. Roy, Evolutionary fuzzy decision model for cash flow prediction using time-dependent support vector machines, International Journal of project management 29(1) (2011), 56-65.

[6]

V.S. Kumar, A.S. Hanna and T. Adams, Assessment ofworking capital requirements by fuzzy set theory, Engineering, Construction and Architectural Management 7(1) (2000), 93-103.

[7]

G. Mavrotas, Y. Caloghirou and J. Koune, A model on cash flowforecasting and early warning for multi-project programs: Application to the operational program for the information society in Greece, International Journal of Project Management 23(2) (2005), 121-133.

[8]

J.S. Yao, M.S. Chen and H.F. Lu, A fuzzy stochastic single-period model for cash management, European Journal of Operational Research 170(1) (2006), 72-90.

[9]

Q.W. Fleming and J.M. Koppelman, Earned value project management, 3, Project management institute, (2005), pp. 3-33.

Digital Library

[10]

W. Lipke, Applying management reserve to software project management, Crosstalk: The Journal of Defense Software Engineering (1999), pp. 17-21.

[11]

W. Lipke, Schedule is different, The Measurable News 2 (2003), 31-34.

[12]

K. Henderson, Further developments in earned schedule, The measurable news 1 (2004), 15-22.

[13]

S. Vandevoorde and M. Vanhoucke, A comparison of different project duration forecasting methods using earned value metrics, International Journal of Project Management 24(4) (2006), 289-302.

[14]

P.J.R. Turner, Controlling progress with planned cost or budgeted cost, International Journal of Project Management 18(3) (2000), 153-154.

[15]

F. Anbari, Earned value project management method and extensions, Project Management Journal 34(4) (2003), 12-23.

[16]

D. Cioffi, Designing project management: A scientific notation and an improved formalism for earned value calculations, International Journal of Project Management 24(2) (2006), 136-144.

[17]

W. Lipke, O. Zwikael, K. Henderson and F. Anbari, Prediction of project outcome: The application of statistical methods to earned value management and earned schedule performance indexes, International Journal of Project Management 27(4) (2009), 400-407.

[18]

L. Moslemi Naeni, S. Shadrokh and A. Salehipour, A fuzzy approach for the earned value management, International Journal of Project Management 29(6) (2011), 764-772.

[19]

J.L. Ponz-Tienda, E. Pellicer and V. Yepes, Complete fuzzy scheduling and fuzzy earned value management in construction projects, Journal of Zhejiang University SCIENCEA 13(1) (2012), 56-68.

[20]

S.T.Mortaji, M. Bagherpour and S. Noori, Fuzzy earned value management using LR fuzzy numbers, Journal of Intelligent and Fuzzy Systems 24(2) (2013), 323-332.

Digital Library

[21]

F. Calisir and C. Kahraman, Fuzzy Earned Value Analysis in Project Management, International Conference on Fuzzy Systems & Soft Computational Intelligence in Management and Industrial Engineering, Istanbul-Turkey, (2002), pp. 260-268.

[22]

L. Moslemi Naeni and A. Salehipour, Evaluating fuzzy earned value indices and estimates by applying alpha cuts, Expert Systems with Applications 38(7) (2011), 8193-8198.

Digital Library

[23]

M. Salari, M. Bagherpour and J. Wang, A novel earned value management model using Z-number, International Journal of Applied Decision Sciences 7(1) (2014), 97-119.

[24]

E. Kim, W.G. Wells and M.R. Duffey, A model for effective implementation of earned value management methodology, International Journal of Project Management 21(5) (2003), 375-382.

[25]

O. Moselhi, J. Li and S. Alkass, Web-based integrated project control system, Construction Management and Economics 22(1) (2004), 35-46.

[26]

J.K. Oven, Implementing EV management in a R&D environment, AACE International Transactions EVM 1 (2007), 01-05.

[27]

M. Bagherpour, A. Zareei, S. Noori and M. Heydari, Designing a control mechanism using earned value analysis: An application to production environment, The International Journal of Advanced Manufacturing Technology 49(5-8) (2010), 419-429.

[28]

M. Görög, A comprehensive model for planning and controlling contractor cash-flow, International Journal of Project Management 27(5) (2009), 481-492.

[29]

N.G. Hwee and R.L. Tiong, Model on cash flow forecasting and risk analysis for contracting firms, International Journal of Project Management 20(5) (2002), 351-363.

[30]

M. Bagherpour, An extension to earned value management, Cost Management 25(3) (2011), 41-47.

[31]

D.S. Christensen, The estimate at completion problem- A review of three studies, Project Management Journal 27(1) (1993), 37-42.

[32]

F. Zorriassatine and M. Bagherpour, A new method for estimating project weight values, Applied Science Journal 9 (2009), 917-923.

[33]

L.A. Zadeh, Fuzzy Sets, Information and control 8(3) (1965), 338-353.

[34]

G. Bortolan and R. Degani, A review of some methods for ranking fuzzy subsets, Fuzzy sets and Systems 15(1) (1985), 1-19.

[35]

S. Mabuchi, An approach to the comparison of fuzzy subsets with an _-cut dependent index, Systems, Man and Cybernetics, IEEE Transactions on 18(2) (1988), 264-272.

[36]

P. Xu, X. Su, J. Wu, X. Sun, Y. Zhang and Y. Deng, A note on ranking generalized fuzzy numbers, Expert Systems with Applications 39(7) (2012), 6454-6457.

Digital Library

[37]

J.M. Adamo, Fuzzy decision trees, Fuzzy Sets and Systems 4(3) (1980), 207-219.

[38]

A.J. Abebe, V. Guinot and D.P. Solomatine, Fuzzy alpha-cut vs. Monte Carlo techniques in assessing uncertainty in model parameters, In Proceedings of the 4th International Conference on Hydro informatics (2000).

Cited By

Mahmoudi AJaved SDeng X(2021)Earned duration management under uncertaintySoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-021-05782-625:14(8921-8940)Online publication date: 1-Jul-2021
https://dl.acm.org/doi/10.1007/s00500-021-05782-6
Salari MBagherpour MReihani M(2018)A time-cost trade-off model by incorporating fuzzy earned value managementJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.5555/2746144.274618428:4(1909-1919)Online publication date: 27-Dec-2018
https://dl.acm.org/doi/10.5555/2746144.2746184

Index Terms

Fuzzy extended earned value management: A novel perspective
1. Applied computing
  1. Enterprise computing
2. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
      1. Probabilistic reasoning
      2. Vagueness and fuzzy logic

Index terms have been assigned to the content through auto-classification.

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cover image Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology Volume 27, Issue 3

May 2014

501 pages

ISSN:1064-1246

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IOS Press

Netherlands

Publication History

Published: 01 May 2014

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Cited By

Mahmoudi AJaved SDeng X(2021)Earned duration management under uncertaintySoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-021-05782-625:14(8921-8940)Online publication date: 1-Jul-2021
https://dl.acm.org/doi/10.1007/s00500-021-05782-6
Salari MBagherpour MReihani M(2018)A time-cost trade-off model by incorporating fuzzy earned value managementJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.5555/2746144.274618428:4(1909-1919)Online publication date: 27-Dec-2018
https://dl.acm.org/doi/10.5555/2746144.2746184

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