Construction Equipment Selection through Scenario-Based FDEA: Truck-Mixer Drums

Ulubeyli, Serdar; Arslan, Volkan; Uygun, Özer; Demir, I.

doi:10.1007/s12205-021-1548-x

Cited by 4 publications

(2 citation statements)

References 107 publications

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“…The problem of selecting a truck mixer drum (TMD) for construction firms was addressed in [39]. In the proposed approach, expert users of TMDs were surveyed to determine their qualitative assessments of the criteria.…”

Section: Machine Selection In Constructionmentioning

confidence: 99%

Multi-Criteria Decision-Making for Machine Selection in Manufacturing and Construction: Recent Trends

Hagag

Yousef²,

Abdelmaguid

2023

Mathematics

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As the number of alternative machines has increased and their technology has been continuously developed, the machine selection problem has attracted many researchers. This article reviews recent developments in applying multi-criteria decision-making (MCDM) methods for selecting machines in the manufacturing and construction industries. Selected articles are classified according to the application area and the applied MCDM method. By focusing on the last five years, this paper identifies recent trends in developing and using these methods. Results suggest that there has been a noticeable growth in the utilization of MCDM techniques for machine selection problems in both sectors. It is also noted that several decision-support tools and methods have been developed and successfully applied during this period. Accordingly, needs and directions for future research are discussed.

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Section: Machine Selection In Constructionmentioning

confidence: 99%

Multi-Criteria Decision-Making for Machine Selection in Manufacturing and Construction: Recent Trends

Hagag

Yousef²,

Abdelmaguid

2023

Mathematics

View full text Add to dashboard Cite

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“…In the same vine, data extracted from truck-mixer drum manufacturer and questionnaire survey were analyzed using the fuzzy technique to help to make appropriate truck-mixer drum selection decisions. However, the results looked promising, yet the developed model could not deal with various types of construction and site conditions (Ulubeyli et al , 2021). Resource utilization maximization was also introduced to improve the optimal equipment fleet selection process and validated via simulation techniques.…”

Section: Literature Reviewmentioning

confidence: 99%

Multiobjective and multivariable optimization for earthmoving equipment

Alshboul

Shehadeh

Tatari

et al. 2022

JFM

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Purpose Efficient management of earthmoving equipment is critical for decision-makers in construction engineering management. Thus, the purpose of this paper is to prudently identify, select, manage and optimize the associated decision variables (e.g. capacity, number and speed) for trucks and loaders equipment to minimize cost and time objectives. Design/methodology/approach This paper addresses an innovative multiobjective and multivariable mathematical optimization model to generate a Pareto-optimality set of solutions that offers insights of optimal tradeoffs between minimizing earthmoving activity’s cost and time. The proposed model has three major stages: first, define all related decision variables for trucks and loaders and detect all related constraints that affect the optimization model; second, derive the mathematical optimization model and apply the multiobjective genetic algorithms and classify all inputs and outputs related to the mathematical model; and third, model validation. Findings The efficiency of the proposed optimization model has been validated using a case study of earthmoving activities based on data collected from the real-world construction site. The outputs of the conducted optimization process promise the model’s originality and efficiency in generating optimal solutions for optimal time and cost objectives. Originality/value This model provides the decision-maker with an efficient tool to select the optimal design variables to minimize the activity's time and cost.

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