Sequencing problems in methods of organising construction processes

Hejducki, Zdzisław

doi:10.1108/09699980410512638

Cited by 9 publications

(2 citation statements)

References 26 publications

(13 reference statements)

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“…The Time Coupling Method was developed by Professor V. Afanasjew [43][44][45][46]. Subsequently, J. Mrozowicz [41,47], Z. Hejducki [39,[48][49][50], and M. Rogalska [51][52][53][54][55] continued to develop Professor Afanasjew's concept.…”

Section: Time Coupling Method-tcmmentioning

confidence: 99%

Construction Schedule versus Various Constraints and Risks

Kostrzewa-Demczuk

2023

Applied Sciences

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The organization and planning of construction works are difficult issues due to the complexity, numerous limitations, uncertainty and risks associated with them. Construction planning is usually based on deterministic data. However, numerous studies and analyses of real cases show that a different computational approach is needed—one based on probabilistic data. The computational algorithms of the Time Coupling Method make it possible to introduce probabilistic data generated in the Multivariate Method of Statistical Models (MMSM) and via standard deviations. As a result, a new methodology was created, the Probabilistic Time Coupling Method (PTCM), through which it is possible to obtain a very good forecast of the investment implementation time compared to its real time. The paper presents theoretical considerations, computational schemes and validation exercises of this new method—known as the PTCM. The computational results of the PTCM (with a mapping accuracy prediction of 99%) confirm the effectiveness of the method. The computational algorithms of the PTCM enable the creation of a computational application based on a well-known program, e.g., Microsoft Excel, thanks to which the method can be quickly disseminated in the planning environment and widely used.

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Section: Time Coupling Method-tcmmentioning

confidence: 99%

Construction Schedule versus Various Constraints and Risks

Kostrzewa-Demczuk

2023

Applied Sciences

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“…After Crandall, several authors (Wiest, ; Valls et al., ; Moder et al., ) have proposed different improvements to Crandall's algorithm but, to the best of the authors’ knowledge, the problem of the overlapping and optimal fragmentation of activities is not totally solved yet. Furthermore, some of the activities of construction projects are grouped in processes (Hejducki, ) that cannot be addressed in the traditional way: the decision is not focused on the fragmentation of the activities but on the continuous execution (flow) between them throughout the process.…”

Section: Introductionmentioning

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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