2006
DOI: 10.1016/j.ijproman.2006.04.004
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Extending project time–cost analysis by removing precedence relationships and task streaming

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Cited by 18 publications
(13 citation statements)
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References 18 publications
(24 reference statements)
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“…Surprisingly, hardly any of these later algorithms have considered crashing models which are not either linear or discrete. A few exceptions where non-linear models have been implemented include: Vrat and Kriengkrairut (1986) [11], Nonobe and Ibaraki (2006) [17], and Goh and Hall (2013) [18] who used convex piece-wise linear functions; Deckro et al (1995) [10] and Liberatore and Pollack-Johnson (2006) [19] who employed quadratic models; Khosrowshahi (1997) [15] who used cubic polynomial curves; and Diaby et al (2011) [12] who incorporated negativeexponential curves. Unfortunately, little if any evidence has been provided as to why these alternatives are superior and/or more realistic than their linear or discrete counterparts.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Surprisingly, hardly any of these later algorithms have considered crashing models which are not either linear or discrete. A few exceptions where non-linear models have been implemented include: Vrat and Kriengkrairut (1986) [11], Nonobe and Ibaraki (2006) [17], and Goh and Hall (2013) [18] who used convex piece-wise linear functions; Deckro et al (1995) [10] and Liberatore and Pollack-Johnson (2006) [19] who employed quadratic models; Khosrowshahi (1997) [15] who used cubic polynomial curves; and Diaby et al (2011) [12] who incorporated negativeexponential curves. Unfortunately, little if any evidence has been provided as to why these alternatives are superior and/or more realistic than their linear or discrete counterparts.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Among the more recent approaches it is possible to cite (Tung, 2007), who develops and tests a particle swarm optimization algorithm, Aghaie and Mokhtari (2009) whose approach is based on the AC optimization metaheuristic and Monte Carlo simulation technique, Liberatore and Pollack-Johnson (2006) who propose a quadratic mixed integer programming approach for reducing the project completion time.…”
Section: The Project Crashing Problemmentioning
confidence: 99%
“…As assumed in Liberatore and Pollack Jonhson (2006) and Gerk and Qassim (2008), the problem is formulated in a deterministic environment. In particular, we assume that, for each couple of overlappable activities and for each overlapping mode, the total rework duration and cost, and the communication/coordination duration and cost, are constant and preliminary known.…”
Section: Problem Statement and Assumptionsmentioning
confidence: 99%
“…The cost of rework is usually considered as a linear function of the rework duration with or without a fixed cost (Roemer et al, 2000;Roemer and Ahmadi, 2004;Gerk and Qassim, 2008;Lin et al, 2010). However, the models proposed in the literature for a whole project with several overlappable couples of activities consider a simplistic linear relation between the rework and the amount of overlap (Cho and Eppinger, 2005;Liberatore and Pollack Jonhson, 2006;Gerk and Qassim, 2008). Similarly, Lin et al (2010) assumed that the communication/coordination cost is proportional to the amount of time spent for communication/coordination.…”
Section: Model Of the Overlapping Processmentioning
confidence: 99%
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