Evaluation of Planned Construction Projects Using Fuzzy Logic

Gajzler, Marcin; Zima, Krzysztof

doi:10.1007/s40999-017-0177-8

Cited by 33 publications

(13 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Decisions taken during the planning and preparation of a development project have a crucial impact on its profitability [2]. The models proposed so far proved to be helpful for the participants of the construction process, i.e., the investors [3,4] and contractors [5][6][7].…”

Section: Decision Making Processes In Construction Managementmentioning

confidence: 99%

Fuzzy AHP Application for Supporting Contractors’ Bidding Decision

et al. 2018

Self Cite

View full text Add to dashboard Cite

This paper proposes the author’s model based on the Fuzzy Analytic Hierarchy Process (FAHP) to improve the efficiency of contractor bidding decisions. The essence of the AHP method is to make pairwise comparisons of available options against all evaluation criteria. The results of these comparisons are recorded in a square matrix in which symmetrical elements are reciprocal. In the expert opinion, a 9-step, bipolar verbal scale was used so that the symmetry of the response was maintained. For contractors from countries where the tendering system is commonly used, the choice of the right tender in which to participate influences their image, financial condition, and their aspiration to succeed. The bid/no bid decision depends on numerous factors associated with the company itself, the environment, and the project concerning the tender. When facing tough competition, contractors search for a solution which increases their chances of winning the tender. The proposed model was based on factors selected by Polish contractors. The original element of the model involves 4 original criteria and 15 sub-criteria for the assessment of investment decision projects to the selection of the most advantageous contract, i.e., the contractor’s participation in the bid. For verbal evaluations describing the criteria, symmetric triangular fuzzy numbers were assigned. The authors performed an extended analysis method combined with FAHP in the model. Fuzzy evaluations underwent elaborate analysis, the aim of which was to specify the synthetic priority weights for each criterion. As a result of the application of the method, to prove that the model works, an example from the Polish construction market was presented in which a bid/no bid decision about four possible tenders was to be taken. Despite the considered example applying to Polish conditions, the proposed model can be used also in other countries. The authors’ rationale is to produce new and more flexible methodologies in order to realistically model a variety of concrete decision problems.

show abstract

Section: Decision Making Processes In Construction Managementmentioning

confidence: 99%

Fuzzy AHP Application for Supporting Contractors’ Bidding Decision

et al. 2018

Self Cite

View full text Add to dashboard Cite

show abstract

“…It is worth mentioning that mathematical tools-which are constantly being developed-are present in the investigations of a broad variety of problems in the field of construction management and technology. Some interesting examples are applications of fuzzy sets theory and fuzzy logic in construction project risk [2][3][4], the evaluation of a construction safety management system [5], processes in a construction enterprise [6], the investigation of flow-shop scheduling problems [7], and using multiple criteria decision-making methods for supporting the decision process in construction and building technology [8][9][10]. There have also been a number of attempts to apply artificial neural networks in the management of construction projects-predicting the completion period of building contracts [11], analysing efficiency and productivity in construction projects [12,13], predicting the maintenance cost of construction equipment [14], supporting bidding decisions [15,16], and facilitating decision making [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Modelling Construction Site Cost Index Based on Neural Network Ensembles

Juszczyk

Leśniak

2019

Symmetry

View full text Add to dashboard Cite

Construction site overhead costs are key components of cost estimation in construction projects. The estimates are expected to be accurate, but there is a growing demand to shorten the time necessary to deliver cost estimates. The balancing (symmetry) between time of calculation and satisfaction of reliable estimation was the reason for developing a new model for cost estimation in construction. This paper reports some results from the authors’ broad research on the modelling processes in engineering related to estimation of construction costs using artificial intelligence tools. The aim of this work was to develop a model capable of predicting a construction site cost index that would benefit from combining several artificial neural networks into an ensemble. Combining selected neural networks and forming the ensemble-based models compromised their strengths and weaknesses. With the use of data including training patterns collected on the basis of studies of completed construction projects, the authors investigated various types of neural networks in order to select the members of the ensemble. Finally, three models that were assessed in terms of performance and prediction quality were proposed. The results revealed that the developed models based on ensemble averaging and stacked generalisation met the expectations of knowledge generalisation and accuracy of prediction of site overhead cost index. The proposed models offer predictions of cost in an accepted error range and prove to deliver better predictions than those based on single neural networks. The developed tools can be used in the decision-making process regarding construction cost estimation.

show abstract

“…Nowadays researchers point the importance of quality, especially for the construction sector where it (quality) stands together with the cost, and time [10].…”

Section: Introductionmentioning

confidence: 99%

Quality Management Systems as a key element for company strategy selection - case study

2018

View full text Add to dashboard Cite

Term quality can be defined as the implementation of specific requirements, having its source in the expectations and needs of customers, users of products or services and their buyers. In constructions sector quality is crucial at each and every phase of the process beginning with design ending with the use of the building. There exist many different methods and tools related to quality, Lean Management, Agility, which can enhance construction process. One of such methods is SWOT analysis that can be helpful in determining the current condition of the company performing it. Article presents brief description of the quality concept and introduction to the SWOT method. It is illustrated with the example of analysis performed in company from the construction sector related to design and production of wooden trusses showing which strategy would be most appropriate for the company to execute taking into account its current condition.

show abstract

Evaluation of Planned Construction Projects Using Fuzzy Logic

Cited by 33 publications

References 21 publications

Fuzzy AHP Application for Supporting Contractors’ Bidding Decision

Fuzzy AHP Application for Supporting Contractors’ Bidding Decision

Modelling Construction Site Cost Index Based on Neural Network Ensembles

Quality Management Systems as a key element for company strategy selection - case study

Contact Info

Product

Resources

About