Time Buffers in Construction Process Scheduling

Rogalska, Magdalena; Hejducki, Zdzisław

doi:10.3846/13923730.2007.9636430

Cited by 20 publications

(14 citation statements)

References 3 publications

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“…Five main directions of scheduling development can be distinguished: the first including the introduction of fuzzy data [22,23], the second taking into account time buffers [24,25], the third introducing risk factors [26], the fourth regarding task scheduling using artificial intelligence tools [27,28], and the fifth involving pipeline task scheduling [29]. A common feature of all faculties is the use of work input values as an element necessary to create a schedule.…”

Section: Discussionmentioning

confidence: 99%

Anticipating the Length of Employees’ Working Time

Kostrzewa-Demczuk

Rogalska

2020

Symmetry

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Asymmetry of employee productivity is an important issue when planning production work. Estimated time to complete the work depends on many factors, such as employee experience, qualifications, and efficiency of brigades and subcontractors, accidents, unreliable suppliers, material shortages, the need for correction work, fatigue, stress, etc. The paper presents the statistical method—Multivariate Method of Statistical Models—MMSM. It enables the assessment of the impact on the duration of works of its characteristic variables and the prediction of the duration of individual orders. In order to carry out the multi-criteria method (MMSM) analysis, the employees’ working time was measured at the newly opened steel structure production plant in Kielce. The results of the analyses clearly show that thanks to the method used, quick and accurate prediction of employees’ work efficiency is possible. In the analyzed case, the best forecast was obtained using the method of automatic neural networks, where the MAPE error = 0.02%.

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Section: Discussionmentioning

confidence: 99%

Anticipating the Length of Employees’ Working Time

Kostrzewa-Demczuk

Rogalska

2020

Symmetry

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“…It becomes obvious that optimization processes are becoming a tool to reduce risks and material costs in the process of implementing the projects of the construction company's production programs. Along with the existing developments in the field of optimization of scheduling and resource allocation planning [1][2][3][4][5][6][7][8][9][10][11][12][13], the authors propose a more extensive optimization algorithm for managers during the formation of production programs.…”

Section: Ministrymentioning

confidence: 99%

Algorithmization of the optimization apparatus in the organization of the current planning at the companies of the building complex

Oleinik

Yurgaytis

2019

MATEC Web Conf.

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The issue of optimizing the decisions of the planning system at various levels and stages of construction production is one of the most important aspects of managerial and engineering activities at the construction enterprise. Such optimization is a complex multifactorial task, the solutions of which are reflected in the established documents based on the results of planning. The main document in this respect is the production and economic program (plan) developed by the planning and economic department of the corresponding construction enterprise, depending on the existing destabilizing factors and constraints established by the results of the integrated planning procedure (annual and strategic). The article discusses the concept of the annual production program of a construction company and a new approach to optimize the algorithm for distributing the resource potential between objects of the annual program.

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“…A CPM analysis traditionally operates under the assumption of unlimited resources. However, during the course of the scheduling process of a real project, the reality of constrained resources must be taken into account; such as limited crew sizes, equipment levels, and materials (Leu et al 1999;Rogalska, Hejducki 2007).…”

Section: Introductionmentioning

confidence: 99%

A Neural Network for Resource Constrained Project Scheduling Programming

Özkan

Gülçiçek

2015

Journal of Civil Engineering and Management

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The resource constrained project-scheduling problem (RCPSP) aims to minimize the duration of a project. RCPSP is prevalently used in programming the projects with high number of activities and resources such as construction projects. In this study, 240 projects such as residential, office, school, etc. are designed and programmed under limited resources. The resource amounts of these projects are determined using three priority rules, these are Latest Finish Time, Minimum Slack Time and Maximum Remaining Path Length which have the highest performance according to the literature, in the amounts of 2, 4, 6 and 8. The project times are estimated using artificial neural network (ANN). A correlation coefficient of 0.70 was obtained from the ANN estimation model.

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Time Buffers in Construction Process Scheduling

Cited by 20 publications

References 3 publications

Anticipating the Length of Employees’ Working Time

Anticipating the Length of Employees’ Working Time

Algorithmization of the optimization apparatus in the organization of the current planning at the companies of the building complex

A Neural Network for Resource Constrained Project Scheduling Programming

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