Skip to main content
SpringerLink
Log in
Book cover

Intelligent Techniques in Engineering Management pp 559–579Cite as

A Fuzzy Evaluation of Projects for Business Processes’ Quality Improvement

  • Chapter
  • First Online:

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 87))

Abstract

Business process improvement is essential for success of enterprises according to the quality philosophy and ISO 9000:2008. On the way to achieving this goal, a very successful approach is the employment of quality improvement projects. This chapter proposes a model for evaluation of projects for business process quality improvement. The performances of the treated type of projects are analyzed in the scope of standard ISO 215000:2015 and the results of good practice. An arranged pair (relative importance, value) is associated to each performance. The relative importance of project performances is assessed on the basis of experts’ judgments from the manufacturing industry and they are introduced by linguistic expressions which are close to human thinking. The values of project performances are determined by measurement or they are based on assessment by a project management team. Modeling of linguistic expressions is performed by fuzzy sets theory. The relative importance of each pair of business processes and project performances is determined on the level of the treated specimen of enterprises. The total score of the project is determined by using fuzzy logic . The model for evaluation of projects for business process quality improvement is verified through a case study example.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  • Ahadzie, D.K., Proverbs, D.G., Olomolaiye, P.P.: Critical success criteria for mass house building projects in developing countries. Int. J. Project Manage. 26(6), 675–687 (2008)

    Article  Google Scholar 

  • Aleksić, A., Stefanović, M., Arsovski, S., Tadić, D.: An assessment of organizational resilience potential in SMEs of the process industry, a fuzzy approach. J. Loss Prev. Process Ind. 26, 1238–1245 (2013)

    Article  Google Scholar 

  • Barcaly, C., Osei-Bryson, K.M.: Project performance development framework: an approach for developing performance criteria and measures for information systems (IS) projects. Int. J. Prod. Econ. 124, 272–292 (2010)

    Article  Google Scholar 

  • Bass, M.S., Kwakernaak, H.: Rating and ranking of multiple-aspect alternatives using fuzzy sets. Automatica 3 47–58 (1977)

    Google Scholar 

  • Beck, T.: Evaluating humanitarian action using the OECD-DAC criteria: an ALANP guide for humanitarian agencies. Overseas Development Institute, London (2006)

    Google Scholar 

  • Billy, H., Cameron, I., Duff, A.R.: Exploring the integration of health and safety with pre-construction planning. Eng. Constr. Archi. Manage. 13(5), 438–450 (2006)

    Article  Google Scholar 

  • Bozbura, T.F., Beskese, A., Kahraman, C.: Prioritization of human capital measurement indicators using fuzzy AHP. Expert Syst. Appl. 32, 1100–1112 (2007)

    Article  Google Scholar 

  • Bryde, D.J.: Modeling project management performance. Inter. J. Qual. Reliab. Manage. 20(2), 229–254 (2003)

    Article  Google Scholar 

  • Bryde, D.J.: Perceptions of the impact of project sponsorship practices on project success. Int. J. Project Manage. 26(8), 800–809 (2008)

    Article  Google Scholar 

  • Büyüközkan, G., Feyzioğlu, O., Neobol, E.: Selection of the strategic alliance partner in logistics value chain. Int. J. Prod. Econ. 113, 148–158 (2008)

    Article  Google Scholar 

  • Chang, D.Y.: Applications of the extent analysis method on fuzzy AHP. Eur. J. Oper. Res 95 649–655 (1996)

    Google Scholar 

  • Chen, P.H., Weng, H.: A two-phase GA model for resource-constrained project scheduling. Autom. Constr. 18, 485–498 (2009)

    Article  Google Scholar 

  • Chen, Y., Okudan, G.E., Riley, D.R.: Sustainable performance criteria for construction method selection in concentrate buildings. Autom. Constr. 19(2), 235–244 (2010)

    Article  Google Scholar 

  • Cheng, M.Y., Tsai, H.C., Sudjono, E.: Evolutionary fuzzy hybrid neural network for dynamic project success assessment in construction industry. Autom. Constr. 21, 46–51 (2012)

    Article  Google Scholar 

  • Chou, J.S., Yang, J.G.: Evolutionary optimization of model specification searches between project management knowledge and construction engineering performance. Expert Syst. Appl. 40, 4414–4426 (2013)

    Article  Google Scholar 

  • Chua, D.K.H., Loh, P.K., Kog, Y.C., Jaselskis, E.J.: Neural networks for construction project success. Expert Syst. Appl. 13(4), 317–328 (1997)

    Article  Google Scholar 

  • Coccoa, P., Alberti, M.: A framework to assess performance measurement systems in SMEs. Int. J. Prod. Performance Manage. 59(2), 186–200 (2009)

    Google Scholar 

  • Dubois, D., Prade, H.: Fuzzy Sets and Systems: Theory and Applications. Academic press Inc., London (1980)

    MATH  Google Scholar 

  • Fan, S.L., Sun, K.S., Wang, Y.R.: GA optimization model for repetitive projects with soft logic. Autom. in Constr. 21, 253–261 (2012)

    Article  MathSciNet  Google Scholar 

  • Fortune, J., White, D., Judgev, K., Walker, D.: Looking again at current practice in project management. Int. J. Project Manage. 4(4), 553–572 (2011)

    Article  Google Scholar 

  • Franco-Santos, M., Kennerley, M., Micheli, P., Martinez, V., Mason, S., Marr, B., et al.: Towards a definition of a business performance measurement system. Int. J. Oper. Prod. Manage. 27, 784–801 (2007)

    Article  Google Scholar 

  • Gardiner, K.S.: Revisting the golden triangle of cost, time, and quality: the role of NPV in project control, success, and failure. Int. J. Project Manage. 18(4), 251–256 (2000)

    Article  Google Scholar 

  • Georgy, M.E., Chang, L.M., Zhang, L.: Prediction of engineering performance: a neuro fuzzy approach. J. Constr. Eng. Manage. 131(5), 548–557 (2005)

    Article  Google Scholar 

  • Gumus, T.A.: Evaluation of hazardous waste transportation firms by using a two step fuzzy-AHP and TOPSIS methodology. Expert Syst. Appl. 36, 4067–4074 (2009)

    Article  Google Scholar 

  • Ika, L.A., Daillo, A., Thuiller, D.: Critical success factors for World Bank projects: an empirical investigation. Int. J. Project Manage. 30, 105–116 (2012)

    Article  Google Scholar 

  • Jaakkola, M., Möller, K., Parvinen, P., Evanschitzky, H., Mühlbacher, H.: Strategic marketing and business performance: A study in three European ‘engineering countries’. Ind. Mark. Manage. 39, 1300–1310 (2010)

    Article  Google Scholar 

  • Kahraman, C., Ertay, T., Büyüközkan, G.: A fuzzy optimization model for QFD planning process using analytic network process. Eur. J. Oper. Res. 171, 390–411 (2006)

    Article  MATH  Google Scholar 

  • Kaya, T., Kahraman, C.: Multicriteria decision making in energy planning using a modified fuzzy TOPSIS methodology. Expert Syst. Appl. 38, 6577–6585 (2011)

    Article  Google Scholar 

  • Khalili-Damghani, K., Sadi-Nezhad, S., Lotfi, H.F., Tavana, M.: A hybrid fuzzy rule-based multiple-criteria framework for sustainable project portfolio selection. Inf. Sci. 220, 442–462 (2013)

    Article  Google Scholar 

  • Klir, G.J., Folger, T.: Fuzzy Sets, Uncertainty, and Information. Prentice Hall, Upper Saddle River (1988)

    Google Scholar 

  • Medineckiene, M., Turskis, Z., Zavadskas, E.K.: Sustainable construction taking into account the building impact of the environment. J. Environ. Eng. Landscape Manage. 18(2), 118–127 (2010)

    Article  Google Scholar 

  • Merigó, J.M., Casanovas, M.: Using fuzzy numbers in heavy aggregation operators. Int. J. Inf. Technol. 4(4), 267–272 (2008)

    Google Scholar 

  • Mir, A.F., Pinnington, H.A.: Exploring the value of project management: linking project management performance and project success. Int. J. Project Manage. 32, 202–217 (2014)

    Article  Google Scholar 

  • Müller, R., Judgev, K.: Critical success factors in projects, pinto, slevin and prescott-the education of project success. Int. J. Proj. Manage. 5(4), 757–775 (2012)

    Article  Google Scholar 

  • Neely, A.D., Kennerly, M., Adams, C.: Performance measurement frameworks: a review. In: Neely, A. (ed.) Business Performance Measurement: Theory and Practice, pp. 143–162. Cambridge University Press, Cambridge (2007)

    Google Scholar 

  • Ngacho, C., Das, D.: A performance evaluation framework of development projects: an empirical study of constituency development fund (CFD) construction projects in Kenya. Int. J. Project Manage. 32, 492–507 (2014)

    Article  Google Scholar 

  • Nudurupati, S.S., Bititci, U.S., Kumar, V. Chan, F.T.S.: State of the art literature review on performance measurement. Comput. Ind. Eng. 60, 279–290 (2011)

    Google Scholar 

  • Oakland, S.J.: Oakland on Quality Management. Elsevier, London (2004)

    Google Scholar 

  • Paskoy, T., Pehlivan, Y.N., Kahraman, C.: Organizational strategy development in distribution channel management using fuzzy AHP and hierarchical fuzzy TOPSIS. Expert Syst. Appl. 39, 2822–2841 (2012)

    Article  Google Scholar 

  • Seçme, Y.N., Bayrakdaroğu, Kahraman, C.: Fuzzy performance evaluation in turkish banking sector using analytic hierarchy 11709 Process and TOPSIS. Expert Syst. Appl. 36 11699–11709 (2009)

    Google Scholar 

  • Shao, J., Müllier, R.: The development of constructions of program context and program success: a qualitative study. Int. J. Proj. Manage. 29(8), 947–959 (2011)

    Article  Google Scholar 

  • Shenhar, A.J., Dvir, D., Levy, O., Maltz, A.C.: Project success: a multidimensional strategic concept. Long Range Plan. 34 699–725 (2001)

    Google Scholar 

  • Shih, H.S., Shyur, H.J., Lee, E.S.: An extension of TOPSIS for group decision making. Math. Comput. Model. 45 (7/8), 801–813 (2007)

    Google Scholar 

  • Tabish, S.Z.S., Jha, K.N.: Analysis of irregularities in public procurement in India. Constr. Manage. Econ. 29(3), 261–274 (2011)

    Article  Google Scholar 

  • Tadić, D., Gumus, T.A., Arsovski, S., Aleksić, A., Stefanović, M.: An evaluation of quality goals by using fuzzy AHP and fuzzy TOPSIS methodology. J. Intell. Fuzzy Syst. 25, 547–556 (2013)

    Google Scholar 

  • Tan, Y., Shen, L., Yao, H.: Sustainable construction practice and constructors’ competitiveness: a preliminary study. Habitat Int. 35(2), 225–230 (2011)

    Article  Google Scholar 

  • Taylan, O., Bafail, A.O.A., Abdulaal, S.M.R., Kabli, R.M.: Construction projects selection and risk assessment by fuzzy AHP and fuzzy TOPSIS methodologies. Appl. Soft Comput. 17, 105–116 (2014)

    Article  Google Scholar 

  • Zadeh, L.A.: The concept of a linguistic variable and its application to approximate reasoning. Inf. Sci. 8(3), 199–249 (1975)

    Article  MATH  MathSciNet  Google Scholar 

  • Zimmermann, H.J.: Fuzzy Set Theory and Its Applications. Kluwer Nijhoff Publishing, Boston (2001)

    Google Scholar 

  • Zuo, P.X.W.: Fostering a strong construction safety culture. Leadersh. Manage. Eng. 11(1), 11–22 (2011)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia

    Danijela Tadić, Slavko Arsovski, Aleksandar Aleksić, Miladin Stefanović & Snežana Nestić

Authors
  1. Danijela Tadić
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Slavko Arsovski
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Aleksandar Aleksić
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Miladin Stefanović
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Snežana Nestić
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Danijela Tadić .

Editor information

Editors and Affiliations

  1. Department of Industrial Engineering Management Faculty, Istanbul Technical University, Istanbul, Turkey

    Cengiz Kahraman

  2. Department of Industrial Engineering, Istanbul Technical University Management Faculty, Istanbul, Turkey

    Sezi Çevik Onar

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Tadić, D., Arsovski, S., Aleksić, A., Stefanović, M., Nestić, S. (2015). A Fuzzy Evaluation of Projects for Business Processes’ Quality Improvement. In: Kahraman, C., Çevik Onar, S. (eds) Intelligent Techniques in Engineering Management. Intelligent Systems Reference Library, vol 87. Springer, Cham. https://doi.org/10.1007/978-3-319-17906-3_22

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-17906-3_22

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-17905-6

  • Online ISBN: 978-3-319-17906-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation