A framework of critical resource chain for project schedule analysis

References

• Ammar , M.A. and Mohieldin , Y.A. 2002 . Resource constrained project scheduling using simulation . Construction Management and Economics , 20 (4) : 323 – 30 .
   Google Scholar
• Bonnal , P. , Gourc , D. , Hameri , A. and Lacoste , G. 2005 . A linear‐discrete scheduling model for the resource‐constrained project scheduling problem . Construction Management and Economics , 23 (8) : 797 – 814 .
   Google Scholar
• Brucker , P. , Drexl , A. , Mohring , R. , Neumann , K. and Pesch , E. 1999 . Resource‐constrained project scheduling: notation, classification, models, and methods . European Journal of Operational Research , 112 : 3 – 41 .
   Web of Science ®Google Scholar
• Christodoulou , S.E. , Ellinas , G.N. and Aslani , P. 2009 . Disorder considerations in resource‐constrained scheduling . Construction Management and Economics , 27 (3) : 229 – 40 .
   Google Scholar
• Chua , D.K.H. , Shen , L.J. and Bok , S.H. 2003 . Constraint‐based planning with integrated production scheduler over internet . Journal of Construction Engineering and Management , 129 (3) : 293 – 301 .
   Google Scholar
• Ezeldin , A.S. and Soliman , A. 2009 . Hybrid time‐cost optimization of nonserial repetitive construction projects . Journal of Construction Engineering and Management , 134 (1) : 42 – 55 .
   Google Scholar
• Galloway , P.D. 2006a . Survey of the construction industry relative to the use of CPM scheduling for construction projects . Journal of Construction Engineering and Management , 132 (7) : 697 – 711 .
   Google Scholar
• Galloway , P.D. 2006b . Comparative study of university courses on critical‐path method scheduling . Journal of Construction Engineering and Management , 132 (7) : 712 – 22 .
   Google Scholar
• Goldratt , E.M. 1988 . The Goal , Great Barrington, MA : The North River Press .
   Google Scholar
• Goldratt , E.M. 1997 . Critical Chain , Great Barrington, MA : The North River Press .
   Google Scholar
• Hegazy , T. 1999 . Optimization of resource allocation and leveling using genetic algorithms . Journal of Construction Engineering and Management , 125 (3) : 167 – 75 .
   Web of Science ®Google Scholar
• Hegazy , T. and Petzold , K. 2003 . Genetic optimization for dynamic project control . Journal of Construction Engineering and Management , 129 (4) : 396 – 404 .
   Google Scholar
• Herroelen , W. and Leus , R. 2001 . On the merits and pitfalls of critical chain scheduling . Journal of Operations Management , 19 : 559 – 77 .
   Web of Science ®Google Scholar
• Herroelen , W. and Leus , R. 2005a . Project scheduling under uncertainty: survey and research potentials . European Journal of Operational Research , 165 : 289 – 306 .
   Web of Science ®Google Scholar
• Herroelen , W. and Leus , R. 2005b . Identification and illumination of popular misconceptions about project scheduling and time buffering in a resource‐constrained environment . Journal of the Operational Research Society , 56 : 102 – 9 .
   Web of Science ®Google Scholar
• Herroelen , W. , Reyck , B.D. and Demeulemeester , E. 1998 . Resource‐constrained project scheduling: a survey of recent developments . Computers and Operations Research , 25 (4) : 279 – 302 .
   Google Scholar
• Hiyassat , M.A.S. 2001 . Applying modified minimum moment method to multiple resource leveling . Journal of Construction Engineering and Management , 127 (3) : 192 – 8 .
   Web of Science ®Google Scholar
• ILOG . 2001 . ILOG OPL Studio3.6.1 Language Manual , Gentilly, , France : ILOG .
   Google Scholar
• Kastor , A. and Sirakoulis , K. 2009 . The effectiveness of resource leveling tools for resource constraint project scheduling problem . International Journal of Project Management , 27 (5) : 493 – 500 .
   Google Scholar
• Kim , J.L. and Ellis , R.D. 2008 . Permutation‐based elitist genetic algorithm for optimization of large‐sized resource‐constrained project scheduling . Journal of Construction Engineering and Management , 134 (11) : 904 – 13 .
   Google Scholar
• Leu , S.S. and Hung , T.H. 2002 . A genetic algorithm‐based optimal resource‐constrained scheduling simulation model . Construction Management and Economics , 20 (2) : 131 – 41 .
   Google Scholar
• Leu , S.S. and Yang , C.H. 1999 . GA‐based multicriteria optimal model for construction scheduling . Journal of Construction Engineering and Management , 125 (6) : 420 – 7 .
   Web of Science ®Google Scholar
• Lu , M. and Lam , H.C. 2008 . Critical path scheduling under resource calendar constraints . Journal of Construction Engineering and Management , 134 (1) : 25 – 31 .
   Google Scholar
• Peng , W. and Wang , C. 2009 . A multi‐mode resource‐constrained discrete time–cost tradeoff problem and its genetic algorithm based solution . International Journal of Project Management , 27 (6) : 600 – 9 .
   Google Scholar
• Project Management Institute (PMI) . 2000 . A Guide to the Project Management Body of Knowledge , Drexel, PA : Project Management Institute .
   Google Scholar
• Schatteman , D. , Herroelen , W. , Van De Vonder , S. and Boone , A. 2008 . Methodology for integrated risk management and proactive scheduling of construction projects . Journal of Construction Engineering and Management , 134 (11) : 885 – 93 .
   Google Scholar
• Son , J. and Mattila , K.G. 2004 . Binary resource leveling model: activity splitting allowed . Journal of Construction Engineering and Management , 130 (6) : 887 – 94 .
   Google Scholar
• Steyn , H. 2000 . An investigation into the fundamentals of critical chain project scheduling . International Journal of Project Management , 19 (6) : 363 – 9 .
   Google Scholar
• Steyn , H. 2002 . Project management applications of the theory of constraints beyond critical chain scheduling . International Journal of Project Management , 20 (1) : 75 – 80 .
   Google Scholar
• Van De Vonder , S. , Demeulemeester , E. , Herroelen , W. and Leus , R. 2006 . The trade‐off between stability and makespan in resource‐constrained project scheduling . International Journal of Production Research , 44 (2) : 215 – 36 .
   Google Scholar
• Vaziri , K. , Carr , P.G. and Nozick , L.K. 2007 . Project planning for construction under uncertainty with limited resources . Journal of Construction Engineering and Management , 133 (4) : 268 – 76 .
   Google Scholar
• Zheng , D.X.M. and Ng , S.T. 2005 . Stochastic time‐cost optimization model incorporating fuzzy sets theory and nonreplaceable front . Journal of Construction Engineering and Management , 131 (2) : 176 – 86 .
   Web of Science ®Google Scholar
• Zheng , D.X.M. , Ng , S.T. and Kumaraswamy , M.M. 2005 . Applying Pareto ranking and niche formation to genetic algorithm‐based multi‐objective time‐cost optimization . Journal of Construction Engineering and Management , 131 (1) : 81 – 91 .
   Google Scholar