1993
DOI: 10.1016/0305-0483(93)90043-k
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Managing project activity-duration uncertainties

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Cited by 17 publications
(4 citation statements)
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“…Some of the more well-known formal expert-based prospective techniques include PERT [Dodin, 1985;Lootsma, 1988], GERT [Seyedghasemipour, 1987], and Critical Path Method [Arsham, 1993]. These approaches tend to be more applicable to optimizing project management, where the component technologies and desired end targets and schedules are fairly well understood.…”
Section: ) Expert-based Approachmentioning
confidence: 99%
“…Some of the more well-known formal expert-based prospective techniques include PERT [Dodin, 1985;Lootsma, 1988], GERT [Seyedghasemipour, 1987], and Critical Path Method [Arsham, 1993]. These approaches tend to be more applicable to optimizing project management, where the component technologies and desired end targets and schedules are fairly well understood.…”
Section: ) Expert-based Approachmentioning
confidence: 99%
“…Some of the more well-known formal expert-based prospective techniques include PERT (Dodin & Elmaghraby, 1985;Lootsma, 1988), GERT (Seyedghasemipour, 1987), and Critical Path Method (Arsham, 1993). These approaches tend to be more applicable to optimizing project management, where the component technologies, and desired end targets and schedules, are fairly well understood.…”
Section: ) Expert-based Approachmentioning
confidence: 99%
“…Arsham [2] constructed a linear programming (LP) formulation to find the critical path of PERT networks by estimating a time for each activity duration. Kulkarni and Adlakha [26] developed a continuous-time Markov process approach to PERT problems with independent and exponentially distributed activity durations.…”
Section: Introductionmentioning
confidence: 99%
“…The existing models are mainly appropriate to plan and control R&D projects and long-term projects when designing or developing new industrial or populated areas, but our proposed model is appropriate in the building construction, when creating and building similar successive installations along the time horizon. Most of regarded sources use heuristic approaches like Arsham [2] and Golenko-Ginzburg et al [14][15][16][17][18][19][20][21][22], based on simulation, to solve the problem, but we use discrete-time approximation technique, which is proved to approach the optimal solution. Finally, the proposed model is the first, which tries to solve the TCTP in a PERT network by modelling it as a queueing network.…”
Section: Introductionmentioning
confidence: 99%