Selection of mobile cranes for building construction projects

1999 ◽  
Vol 17 (4) ◽  
pp. 519-527 ◽  
Author(s):  
AVIAD SHAPIRA ◽  
CLIFFORD J. SCHEXNAYDER
Keyword(s):  
Construction Projects ◽  
Building Construction ◽  
Selection Of

scholarly journals Formwork Systems Selection Criteria for Building Construction Projects: A Critical Review of the Literature

2021 ◽  
Author(s):  
Taylan Terzioglu ◽  
Harun Turkoglu ◽  
Gul Polat
Keyword(s):  
Critical Review ◽  
Construction Projects ◽  
Selection Criteria ◽  
Project Success ◽  
Relevant Literature ◽  
Critical Role ◽  
Building Construction ◽  
Integrative Approach ◽  
Face To Face ◽  
Selection Of

Formwork system (FWS) is one of the key components in reinforced concrete (RC) construction. Therefore, selection of the most appropriate FWS plays a critical role in the project success. Since the FWS selection is affected by several compromising and conflicting criteria, numerous studies have been carried out to identify the FWS selection criteria and/or have employed various multi-criteria decision-making (MCDM) methods since the early 1990s. However, there is no research that conducts a critical review of the previous studies addressing the FWS selection criteria in building construction projects. This study aims to fill this knowledge gap. For this purpose, a critical review of the relevant literature was carried out using an integrative approach and the findings were validated through face-to-face interviews with professionals specialized in formwork engineering. The findings of this study may provide practitioners with a useful guide that can assist them in selecting the most appropriate FWS.

scholarly journals A Novel Dynamic Multicriteria Decision-Making Approach for Low-Carbon Supplier Selection of Low-Carbon Buildings Based on Interval-Valued Triangular Fuzzy Numbers

2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Xia Cao ◽  
Zeyu Xing ◽  
Yuqi Sun ◽  
Shi Yin
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Construction Projects ◽  
Comprehensive Evaluation ◽  
Multicriteria Decision Making ◽  
Building Construction ◽  
Low Carbon ◽  
Multicriteria Decision ◽  
Interval Valued ◽  
Selection Of

Due to the lack of natural resources and environmental problems which have been appearing increasingly, low-carbon buildings are more and more involved in the construction industry. The selection of low-carbon supplier is a significant part in the process of low-carbon building construction projects. In this paper, we propose a novel dynamic multicriteria decision-making approach for low-carbon supplier selection in the process of low-carbon building construction projects to deal with these problems. First, the paper establishes 5 main criteria and 17 subcriteria for low-carbon supplier selection in the process of low-carbon building construction projects. Then, a method considering interaction between criteria and the influence of constructors subjective preference and objective criteria information is proposed. It uses the basic concept and properties of the interval-valued triangular fuzzy number intuitionistic fuzzy weighted Bonferroni means (IVTFNIFWBM) operators and the objective information entropy and TOPSIS-based Euclidean distance to calculate the comprehensive evaluation results of potential low-carbon suppliers. The proposed method is much easier for constructors to select low-carbon supplier and make the localization of low-carbon supplier more practical and accurate in the process of building construction projects. Finally, a case study about a low-carbon building project is given to verify practicality and effectiveness of the proposed approach.

BIM Technologies In Building Construction Projects Management In Russia

2019 ◽  
pp. 48-59
Keyword(s):  
Project Management ◽  
Economic Efficiency ◽  
Technology Implementation ◽  
Management System ◽  
Construction Projects ◽  
Technology Development ◽  
Integrated Management ◽  
Building Construction ◽  
Information Modeling ◽  
Project Management System

The international experience of integrating building information modeling (BIM) into project management system with innovation implementation accent has been revealed in this article. The events carried out on federal and regional levels concerning the President of Russia directive on building construction industry modernization and construction objects transferring to life cycle management by means of BIM were analyzed. The large company experience of implementing BIM was summarized with describing some examples in different cities and regions of our country and thus the main directions of this technology development were determined. The key points of BIM and project management system pairing and impacting an innovation choice witch determine the project economic efficiency in the integrated management system were shown. The main reports of "Building construction projects technology and management: new practices and prospects" conference by Moscow Trade and Commerce Chamber were reviewed in this direction and problems of the new investment and construction project management technology implementation were shown. The ways to solve these problems were disclosed by work examples of PAO "Sberbank", and successfully working in our country firms Bilfinger Tebodin - BIM design and Beiten Burkhard -jurisdiction support. Some economic efficiency questions of BIM implementation were disclosed in the report delivered by The Plekhanov University of Economics (project and program management base department of Capital Group). Management system suggestions, regarding BIM implementation in Moscow construction were given.

Productivity monitoring in building construction projects: a systematic review

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wesam Salah Alaloul ◽  
Khalid M. Alzubi ◽  
Ahmad B. Malkawi ◽  
Marsail Al Salaheen ◽  
Muhammad Ali Musarat
Keyword(s):  
Systematic Review ◽  
Construction Projects ◽  
Small Sample ◽  
Machine Learning Algorithms ◽  
Building Construction ◽  
Content Type ◽  
Construction Productivity ◽  
Automated Monitoring ◽  
Monitoring Tools ◽  
Meta Analyses

PurposeThe unique nature of the construction sector makes it fall behind other sectors in terms of productivity. Monitoring construction productivity is crucial for the construction project's success. Current practices for construction productivity monitoring are time-consuming, manned and error prone. Although previous studies have been implemented toward reducing these limitations, a gap still exists in the automated monitoring of construction productivity.Design/methodology/approachThis study aims to investigate and assess the different techniques used for monitoring productivity in building construction projects. Therefore, a mixed review methodology (bibliometric analysis and systematic review) was adopted. All the related publications were collected from different databases, which were further screened to get the most relevant based on the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) criteria.FindingsA detailed review was performed, and it was found that traditional methods, computer vision-based and photogrammetry are the most adopted data acquisition for productivity monitoring of building projects, respectively. Machine learning algorithms (ANN, SVM) and BIM were integrated with monitoring tools and technologies to enhance the automated monitoring performance in construction productivity. Also, it was observed that current studies did not cover all the complex construction job sites and they were applied based on a small sample of construction workers and machines separately.Originality/valueThis review paper contributes to the literature on construction management by providing insight into different productivity monitoring techniques.

scholarly journals Supply Chain Cost Prediction for Prefabricated Building Construction under Uncertainty

2018 ◽  
Vol 2018 ◽  
pp. 1-5 ◽  
Author(s):  
Shaoli Wang ◽  
Yasir Mursalin ◽  
Gang Lin ◽  
Conghua Lin
Keyword(s):  
Supply Chain ◽  
Computational Model ◽  
Cost Reduction ◽  
Construction Projects ◽  
Building Construction ◽  
Activity Based Costing ◽  
Total Cost ◽  
Critical Areas ◽  
Abc Method ◽  
Prefabricated Building

This paper considers the problem of predicting a supply chain cost for prefabricated building construction under an uncertain situation. Based on the Activity-Based Costing (ABC) method, we establish a computational model to estimate the total cost of the prefabricated supply chain. The model can assist in not only finding the critical areas for cost reduction of the whole supply chain but also analyzing other costs of prefabricated construction projects. Furthermore, we provide a numerical example of prefabricated building construction to validate the results.

scholarly journals FUZZY MULTI-CRITERIA DECISION MAKING MODEL FOR SUBCONTRACTOR SELECTION IN INTERNATIONAL CONSTRUCTION PROJECTS

2015 ◽  
Vol 22 (2) ◽  
pp. 210-234 ◽  
Author(s):  
Serdar ULUBEYLI ◽  
Aynur KAZAZ
Keyword(s):  
Construction Projects ◽  
Decision Criterion ◽  
Practical Application ◽  
Human Judgment ◽  
Qualitative And Quantitative ◽  
International Construction ◽  
Weak Points ◽  
Initial Idea ◽  
Decision Making Model ◽  
Selection Of

A general contractor’s ability to select proper subcontractors in foreign projects is a key competitive advantage. Toward this aim, a subcontractor selection model (CoSMo) was developed in this study. As a computational approach, the fuzzy sets method was employed because it can model human judgment by means of linguistic values, combining qualitative and quantitative decision criteria into an aggregate measure. Although the algorithm may be complex for easy acceptance by industrial practitioners, this disadvantage was minimized through a computer-supported system. In order to gain a better understanding of the current practice of CoSMo, a real world construction project was conducted. As a result, it was observed that CoSMo has high practical application and can be used as an advisory system by satisfying principal contractor’s requirements to reduce the risk involved in the selection of a subcontractor. Moreover, it gives an initial idea of how subcontractors perform on each decision criterion and allows the main contractor to understand the picture on the strong and weak points of each bidder and thereby to take conscious decisions.

Aggregate Characteristics Governing Performance of Seal Coat Highway Overlays

1996 ◽  
Vol 1547 (1) ◽  
pp. 15-22 ◽  
Author(s):  
Mohamed-Asem U. Abdul-Malak ◽  
David W. Fowler ◽  
Cesar A. Constantino
Keyword(s):  
Statistical Models ◽  
Environmental Variables ◽  
Construction Projects ◽  
Performance Data ◽  
Engineering Properties ◽  
Proper Selection ◽  
Performance Variability ◽  
Frictional Performance ◽  
Materials Used ◽  
Selection Of

A study was undertaken to identify the engineering properties of aggregates that explain the variability in the frictional performance of seal coat highway overlays. The frictional performance data of 72 test sections and section replicates collected over a period of 8 years were used in the formulation of statistical models that incorporate the significant variables. The effects of traffic, construction, and environmental variables were also considered. Formulated models were of two types: general and individual. The former type attempts to describe frictional performance using the observations collected on all aggregate materials used. The latter describes the performance of individual aggregate groups. Laboratory properties found to be significant included the polish value, impact and abrasion, and soundness properties. The coating of aggregate particles, gradation, and construction placing rates of aggregate and asphalt were also shown to be significant in explaining performance variability. The influence of traffic and region was found to be interactive with the type and properties of aggregates. The formulated models can be used as a tool for predicting the frictional performance of seal coat aggregates, thus providing a better means for the proper selection of aggregates and for the planning of future seal coat construction projects.

scholarly journals SELECTION OF WIRELESS TECHNOLOGY FOR TRACKING CONSTRUCTION MATERIALS USING A FUZZY DECISION MODEL / BELAIDŽIO RYŠIO TECHNOLOGIJŲ ATRANKA STATYBINĖMS MEDŽIAGOMS STEBĖTI, TAIKANT NEAPIBRĖŽTŲJŲ AIBIŲ SPRENDIMO MODELĮ

2012 ◽  
Vol 18 (1) ◽  
pp. 43-59 ◽  
Author(s):  
Shaohua Jiang ◽  
Won-Suk Jang ◽  
Mirosław J. Skibniewski
Keyword(s):  
Decision Making ◽  
Construction Projects ◽  
Large Scale ◽  
Construction Materials ◽  
Point Of View ◽  
Wireless Technologies ◽  
Scope Of Application ◽  
Fuzzy Decision Model ◽  
Specific Technology ◽  
Selection Of

As the size and scale of construction projects increase, inefficiencies related to the manual operations about field data in current tracking systems are becoming an important issue. While emerging wireless technologies are providing a feasible vision of ubiquitous computing and sensor networks applicable to the large-scale construction industry, it has become even harder to select a suitable technology for tracking construction materials because of the differing functionalities, capabilities, and scope of application of the specific technology. This research proposes a multi-criteria decision-making model that leverages the decision process in choosing various wireless technologies available on the market. To justify the selection of a specific technology, a fuzzy method was adopted to provide an appropriate way to decide among five alternatives (e.g., RFID, GPS, Wi-Fi, Zigbee, and UWB). Fuzzy ranking was obtained from the aggregated fuzzy appropriate index (FAI) based on a person's point of view (optimist, pessimist, or neutral). The results showed that Wi-Fi might be a suitable solution for optimists and neutral persons, but UWB might be the better alternative for pessimists. The results of this research may assist construction engineers in applying reasonable decision-making procedures in a fuzzy environment such as construction sites, and rank the relative importance of the various criteria and alternatives specified in this research. Santrauka Augant statybos projektų mastui, rankinis dabartinių stebejimo sistemų duomenų apdorojimo neefektyvumas tampa svarbia problema. Nors naujos belaidžio ryšio technologijos gali sudaryti galimybę įvesti visur prieinamus kompiuterinius ir jutiklių tinklus, naudojamus plataus masto statybos pramonėje, tampa vis sudėtingiau pasirinkti tinkamas technologijas statybinėms medžiagoms stebėti, nes kiekviena technologija atlieka skirtingas funkcijas, skiriasi jų galimybės ir taikymo apimtis. Šiame tyrime siūlomas daugiakriterinis sprendimų priėmimo modelis, kuris, sprendimų priėmimo procesą pasirenkant rinkoje, siūlomas belaidžio ryšio technologijas išskaido į atskirus lygius. Siekiant pagrįsti tam tikros technologijos pasirinkimą, buvo pritaikytas neapibrežtųjų aibių metodas, pasirenkant geriausią technologiją iš penkių alternatyvų (t. y. RFID, GPS, Wi-Fi, Zigbee ir UWB technologijų). Neapibrežtumo rangas buvo gautas taikant agreguotą neapibrežtumo tinkamumo indeksą (FAI), atsižvelgiant į asmens požiūrį (optimistinis, pesimistinis ar neutralus). Gauti rezultatai parodė, kad Wi-Fi technologija yra tinkama optimistams ir neutraliems asmenims, o UWB technologija būtų geresnė alternatyva pesimistams. Šio tyrimo rezultatai gali padėti statybos inžinieriams priimti pagrįstus sprendimus neapibrėžtoje aplinkoje, tokioje kaip statybos aikštelės, ir suranguoti pagal svarbą įvairius kriterijus bei aptartas šiame tyrime alternatyvas.

scholarly journals Fatal Fall Accidents in Small Building Construction Projects

2020 ◽  
Author(s):  
Yilmaz Hatipkarasulu ◽  
Harrison Pierce ◽  
Suat Gunhan ◽  
Rui Liu
Keyword(s):  
Construction Projects ◽  
Building Construction ◽  
Small Building ◽  
Fall Accidents
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