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N. Pour, S. Zeynali, Mansoor Kheradmand (2012)
Calculating the Fuzzy Project Network Critical PathInternational journal of engineering and technology, 1
Chen-Tung Chen, Ching-Torng Lin, Sue-Fn Huang (2006)
A fuzzy approach for supplier evaluation and selection in supply chain managementInternational Journal of Production Economics, 102
M. Delgado, F. Herrera, E. Herrera-Viedma, Luis Martínez-López (1998)
Combining Numerical and Linguistic Information in Group Decision MakingInf. Sci., 107
S. Arabzad, M. Ghorbani, J. Razmi, H. Shirouyehzad (2015)
Employing fuzzy TOPSIS and SWOT for supplier selection and order allocation problemThe International Journal of Advanced Manufacturing Technology, 76
B. Vahdani, S. Mousavi, H. Hashemi, M. Mousakhani, R. Tavakkoli-Moghaddam (2013)
A new compromise solution method for fuzzy group decision-making problems with an application to the contractor selectionEng. Appl. Artif. Intell., 26
Ching-Torng Lin, Ying-Te Chen (2004)
Bid/no-bid decision-making – a fuzzy linguistic approachInternational Journal of Project Management, 22
O. Taylan, Abdallah Bafail, Reda Abdulaal, M. Kabli (2014)
Construction projects selection and risk assessment by fuzzy AHP and fuzzy TOPSIS methodologiesAppl. Soft Comput., 17
L. Zadeh (1999)
Fuzzy sets as a basis for a theory of possibilityFuzzy Sets and Systems, 100
T. Flouris, D. Lock (2008)
Aviation Project Management
Yufei Yuan (1991)
Criteria for evaluating fuzzy ranking methodsFuzzy Sets and Systems, 43
Yawei Li, Xiangtian Nie, Shouyu Chen (2007)
Fuzzy Approach to Prequalifying Construction ContractorsJournal of Construction Engineering and Management-asce, 133
Chen-Tung Chen, Sue-Fen Huang (2007)
Applying fuzzy method for measuring criticality in project networkInf. Sci., 177
S. Elizabeth, L. Sujatha (2013)
FUZZY CRITICAL PATH PROBLEM FOR PROJECT NETWORKInternational journal of pure and applied mathematics, 85
Shih-Pin Chen (2007)
Analysis of critical paths in a project network with fuzzy activity timesEur. J. Oper. Res., 183
Rohollah Moghimi, Alireza Anvari (2014)
An integrated fuzzy MCDM approach and analysis to evaluate the financial performance of Iranian cement companiesThe International Journal of Advanced Manufacturing Technology, 71
P. Zieliński (2005)
On computing the latest starting times and floats of activities in a network with imprecise durationsFuzzy Sets Syst., 150
F. Herrera, E. Herrera-Viedma (2000)
Linguistic decision analysis: steps for solving decision problems under linguistic informationFuzzy Sets Syst., 115
A. Zareei, F. Zaerpour, M. Bagherpour, A. Noora, A. Hadi-Vencheh (2011)
A new approach for solving fuzzy critical path problem using analysis of eventsExpert Syst. Appl., 38
Hsuan-Shih Lee (2005)
A Fuzzy Multi-criteria Decision Making Model for the Selection of the Distribution Center
K. Madhuri, S. Siresha, N. Shankar (2011)
A New Approach for Solving Fuzzy Critical Path Problem Using L-L Fuzzy Numbers
S. Sathish, K. Ganesan (2011)
A simple approach to fuzzy critical path analysis in project networks
M. Amiri, Farhaneh Golozari (2011)
Application of fuzzy multi-attribute decision making in determining the critical path by using time, cost, risk, and quality criteriaThe International Journal of Advanced Manufacturing Technology, 54
San Cristóbal, José Ramón (2013)
Critical Path Definition Using Multicriteria Decision Making: PROMETHEE MethodJournal of Management in Engineering, 29
F. Hassanzadeh, M. Collan, M. Modarres (2012)
A practical R&D selection model using fuzzy pay-off methodThe International Journal of Advanced Manufacturing Technology, 58
S. Ebrahimnejad, M. Hosseinpour, A. Nasrabadi (2013)
A fuzzy bi-objective mathematical model for optimum portfolio selection by considering inflation rate effectsThe International Journal of Advanced Manufacturing Technology, 69
F. Zammori, M. Braglia, M. Frosolini (2009)
A fuzzy multi-criteria approach for critical path definitionInternational Journal of Project Management, 27
Parmpreet Kaur, Amit Kumar (2014)
Linear programming approach for solving fuzzy critical path problems with fuzzy parametersAppl. Soft Comput., 21
N. Shankar, B. Saradhi, S. Babu (2013)
Fuzzy Critical Path Method Based on a New Approach of Ranking Fuzzy Numbers using Centroid of CentroidsInt. J. Fuzzy Syst. Appl., 3
Feng-Tse Lin, Jing-Shing Yao (2003)
Fuzzy Critical Path Method Based on Signed-Distance Ranking and Statistical Confidence-Interval EstimatesThe Journal of Supercomputing, 24
(2005)
Decision support system for select the proper project delivery method using analytical hierarchy process (AHP)
F. Hassanzadeh, Hamid Nemati, Minghe Sun (2014)
Robust optimization for interactive multiobjective programming with imprecise information applied to R&D project portfolio selectionEur. J. Oper. Res., 238
In this paper, we propose a new fuzzy group multi-criteria decision making method and apply it to determine the critical path in a project network. The criteria used here are time (expected duration), cost, risk, and quality of the project activities that are considered critical in project management. As each criterion has its independent level of importance in the critical path selection, the weights of the project criteria are also considered in the analysis. Considering that the information in terms of various project activities and criteria weights are often incomplete and/or uncertain in real-world situations, the essential information in terms of the criteria and project activities are obtained using triangular fuzzy numbers and/or linguistic variables that are mapped to triangular fuzzy numbers, wherever appropriate. The proposed method involves fuzzy evaluation based on the fuzzy information of the possible project paths on each criterion leading to the strength and weakness index scores of the project paths. We define a measure of criticality termed as the total performance score of each project path obtained using its strength and weakness index scores. The path that has the highest measure of criticality is selected as the critical path. A numerical illustration is provided to demonstrate working of the proposed methodology. Further, a case study from manufacturing engineering industry is also presented to better justify the applicability and potentials of the proposed methodology. A comparison with closely related fuzzy multi-criteria decision methods for the critical path selection is done to analyze the performance of the proposed methodology.
The International Journal of Advanced Manufacturing Technology – Springer Journals
Published: Aug 9, 2015
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