Combining contemporary and traditional project management tools to resolve a project scheduling problem

Hebert, John E.; Deckro, Richard F.

doi:10.1016/j.cor.2009.12.004

Cited by 31 publications

(20 citation statements)

References 10 publications

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“…The Precedence Diagramming Method with GPRs presents anomalous effects that are counterintuitive about the consequences of lengthening or shortening a job (Wiest, 1981;Herbert and Deckro, 2011;Valls and Lino, 2001), changing the concept of the critical path itself. This anomalous effect, called "reverse criticality," is produced when a critical path passes through an activity from finish to start.…”

Section: Literature Reviewmentioning

confidence: 99%

The Fuzzy Project Scheduling Problem with Minimal Generalized Precedence Relations

Ponz-Tienda

Pellicer

Marco

et al. 2015

Computer aided Civil Eng

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Abstract:In scheduling, estimations are affected by the imprecision of limited information on future events, and the reduction in the number and level of detail of activities. Overlapping of processes and activities requires the study of their continuity, along with analysis of the risks associated with imprecision. In this line, this paper proposes a fuzzy heuristic model for the Project Scheduling Problem with flows and minimal feeding, time and work Generalized Precedence Relations with a realistic approach to overlapping, in which the continuity of processes and activities is allowed in a discretionary way. This fuzzy algorithm handles the balance of process flows, and computes the optimal fragmentation of tasks, avoiding the interruption of the critical path and reverse criticality. The goodness of this approach is tested on several problems found in the literature; furthermore, an example of a 15-story building was used to compare the better performance of the algorithm implemented in Visual Basic for Applications (Excel) over that same example input in Primavera© P6 Professional V8.2.0, using five different scenarios.

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Section: Literature Reviewmentioning

confidence: 99%

The Fuzzy Project Scheduling Problem with Minimal Generalized Precedence Relations

Ponz-Tienda

Pellicer

Marco

et al. 2015

Computer aided Civil Eng

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“…In 1961, Kelly [1] first did research on the TCTP. In the following years, many researches have been done on the TCTP with assumption of deterministic activity durations [2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Uncertain random time-cost trade-off problem

2014

J. Uncertain. Anal. Appl.

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Since for most projects, 'new' parts (with little or no historical data) and 'old' parts (with sufficient historical data) always coexist in the same project, uncertainty and randomness should be considered simultaneously in time-cost trade-off problem. In this paper, combined with uncertainty theory and dependent-chance programming, an uncertain random time-cost trade-off model is built. A crisp equivalent model is also given for some special case. Besides, uncertain random simulation and genetic algorithm are integrated for solving the proposed model.

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“…First techniques used only constructive heuristics [3,12,15] or mathematical formulations [6,14]. However, over the last years, many metaheuristics approaches have obtained significant results in several areas [1,8,17,19,20,24,25], including validation and comparison with third-party software like [10]. They are particularly applied to the multi-mode version of RCPSP, where a task can be executed in different ways, using different amount of resources [4,5].…”

Section: Literature Reviewmentioning

confidence: 99%

A hybrid method for a Project Scheduling Problem

Silva

2014

Pesqui. Oper.

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ABSTRACT. This work deals with a project scheduling problem where the tasks consume resources to be activated, but start to produce them after that. This problem is known as Dynamic Resource-Constrained Project Scheduling Problem (DRCPSP). Three methods were proposed to divide the problem into smaller parts and solve them separately. Each partial solution is obtained by CPLEX optimizer and is used to generate more complete partial solutions. The obtained results show that this hybrid method works very well.

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Combining contemporary and traditional project management tools to resolve a project scheduling problem

Cited by 31 publications

References 10 publications

The Fuzzy Project Scheduling Problem with Minimal Generalized Precedence Relations

The Fuzzy Project Scheduling Problem with Minimal Generalized Precedence Relations

Uncertain random time-cost trade-off problem

A hybrid method for a Project Scheduling Problem

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