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Thursday, May 7, 2020 | History

3 edition of Practical frontier in construction prequalification using data envelopment analysis. found in the catalog.

Practical frontier in construction prequalification using data envelopment analysis.

Viet Hung Quoc Tran

Practical frontier in construction prequalification using data envelopment analysis.

by Viet Hung Quoc Tran

  • 162 Want to read
  • 22 Currently reading

Published by National Library of Canada in Ottawa .
Written in English


Edition Notes

Thesis (M.A.Sc) -- University of Toronto, 2002.

SeriesCanadian theses = -- Th`eses canadiennes
The Physical Object
Pagination2 microfiches : negative.
ID Numbers
Open LibraryOL21241272M
ISBN 100612738760
OCLC/WorldCa53977682

  Practical frontier in construction pre‐qualification using data envelopment analysis Tran, V.H.Q. Application of fuzzy analytic network process for supplier selection in a . Using data envelopment analysis for the assessment of technical efficiency of units with different specialisations: An application to agriculture Omega, Vol. 54 Evaluation of environmental efficiency in China using data envelopment analysisCited by:

  Introduction to Data Envelopment Analysis and Its Uses: With DEA-Solver Software and References - Ebook written by William W. Cooper, Lawrence M. Seiford, Kaoru Tone. Read this book using Google Play Books app on your PC, android, iOS devices. Download for offline reading, highlight, bookmark or take notes while you read Introduction to Data Envelopment Analysis and Its Uses: /5(3).   No insights concerning organization overall performance and improvements targets are available. This research aims to fulfill this gap using data envelopment analysis (DEA) as a method to complement the information provided by a set of KPIs. The methodology proposed is useful to all organizations involved in benchmarking routines.

The CCR ratio form introduced by Charnes, Cooper and Rhodes, as part of their Data Envelopment Analysis approach, comprehends both technical and scale inefficiencies via the optimal value of the ratio form, as obtained directly from the data without requiring a priori specification of weights and/or explicit delineation of assumed functional Cited by: Nonparametric methods include Data Envelopment Analyses (DEA) and the Free Disposal Hull (FDH).We use them to measure technical (technological) cal efficiency looks at the level of inputs or technically efficient means to minimise inputs at agiven level of outputs, or maximise outputs at agiven level of Size: KB.


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Practical frontier in construction prequalification using data envelopment analysis by Viet Hung Quoc Tran Download PDF EPUB FB2

The established practical frontier can be used as a regional performance standard for the owner in prequalification and as improvement guidelines for words: contractor prequalification, construction engineering, data envelopment analysis, practical by: Abstract (summary): Contractor prequalification is essential in most construction projects and the process has been performed by many different methods in practice.

Data envelopment analysis (DEA) had been recognized as a useful technique to prequalify contractors by Cited by: The established practical frontier can be used as a regional performance standard for the owner in prequalification and as improvement guidelines for words: contractor.

Key Words: contractor prequalification; construction engineering; data envelopment analysis; practical frontier INTRODUCTION Prequalification is a screening process applied to contractors before tendering to reduce the risk of project failure.

Most prequalification models use some form of a weightedCited by: 1. Introduction. Data envelopment analysis (DEA) is a powerful technique in productivity management. It is a linear programming-based methodology introduced by Charnes et al. for measuring the relative efficiency of decision making units (DMUs).

A DEA analysis provides a variety of valuable by: Data Envelopment Analysis and Economics Data Envelopment Analysis (DEA) is a nonparametric method of measuring the efficiency of a decision-making unit (DMU) such as a firm or a public-sector agency, first introduced into the Operations Research (OR) literature by Charnes, Cooper, and Rhodes (CCR) (European Journal of OperationalFile Size: KB.

Contractor Prequalification plays an important role in the bidding process of construction projects. Both the employer and the potential bidder attach great importance to it and many methods of prequalification have been used. This work propounds a potential bidder evaluation system, which is more suitable to the situation of construction project bidding.

The software included in this book works under Ex and (XP), and does not work under Excel About this Book Download Errata (pdf,kb) TABLE OF CONTENTS Basic DEA Models.- Measure-specific DEA Models.

-Returns-to-Scale.- DEA with Preference. - Modeling Undesirable Measures.- Context-dependent Data Envelopment Analysis. Window data envelopment analysis Data envelopment analysis with double frontier 1. Introduction Universities and their other subsystems are organizations with specific purposes and it is necessary to use appropriate tools for measuring their performances (Alam Tabriz, et al., ).

NowadaysAuthor: Sahar Sharifian, Abolghasem Ebrahimi, Moslem Alimohammadlou. between and using Data Envelopment Analysis (DEA) and DEA-based Malmquist methods. The analysis process is as follows: 1) Decision Making Units, input and output variables are selected. 2) Efficiency of Chinese, Japanese and Korean construction firms is analyzed by applying DEA and selected by: 4.

unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract The purpose of this paper is to rank construction projects‟ success in a post delivery phase. To attain this objective, a data envelopment analysis (DEA) approach is used.

The model‟s output is a project successFile Size: KB. frontier technology. Moreover, it does not assume that all DMUs are using the same technology but instead evaluates the efficiency of a DMU relative to its peer or combination of peers.

The book, entitled Data Envelopment Analysis and Its Applications to Management, will be useful to researchers in the field of DEA as well as. Tran VHQ () Practical frontier in construction pre-qualification using data envelopment analysis. Master thesis, University of Toronto Google Scholar Wang YM () Using the method of maximizing deviations to make decision for by: 2 Rajaprasad, Prasada Rao & Venkata Chalapathi - Evaluation of safety performance in Indian construction segments using data envelope analysis Asia Pacific Journal of Business and Management,Volume 4(1), ISSN X Most of the clients are relying closely on contractors’ or subcontractors` bid proposal in the.

A closer look at the use of data envelopment analysis for technology selection. Computers Construction prequalification using data envelopment analysis.

Canadian Journal of Civil Engineering 32 (1): Sowlati, T. Establishing the practical frontier in data envelopment analysis. Ph.D. thesis, Department of Cited by: construction firms although the latter has positive impact on the growth of technical efficiency over time.

McCabe et al. [22] studied an enhanced contractor prequalification model using DEA together with a methodology for determining a “practical frontier” of best contractors. These are practical problems faced by DEA researchers as well as marketing professionals that may use DEA in their benchmarking efforts.

Using our data, we perform sensitivity analysis to understand these issues and provide specific insight on the impact of missing input or output variables and observations on the benchmarking by: This wonderful gem of a book deals with all aspects of DEA.

The collection of articles by leaders in DEA is second to none. Anyone interested in using efficiency as a performance tool will learn the ins and outs by reading this handbook.

Hope there is a second volume. Handbook on Data Envelopment Analysis (International Series in Operations. Construction accounts for a significant fraction of the Canadian GNP.

However, very little industry-driven research is being undertaken relative to other industries. The opportunities for learning and growing in this industry are enormous. Students undertaking courses or research in the field of construction management investigate, research, model and develop methods for improving engineering.

Clarke, R.L.,Effects of Repeated Applications of Data Envelopment Analysis on Efficiency of Air Force Vehicle Maintenance Units in the Tactical Air Command and a Test for the Presence of Organizational Slack Using Rajiv Banker’s Game Theory Formulations, Ph.D.

Dissertation, Graduate School of Business, University of by:. construction industry. [1] adopted Data Envelopment Analysis (DEA) to establish an enhanced contractor prequalification model, which used relative efficiency scores as prequalification criteria for selecting contractors.

The model was developed together with a methodology for determining a “practical frontier” of the best contractors.Data envelopment analysis (DEA) is a nonparametric method in operations research and economics for the estimation of production frontiers.

It is used to empirically measure productive efficiency of decision making units (DMUs). Although DEA has a strong link to production theory in economics, the tool is also used for benchmarking in operations management, where a set of measures is selected.FRONTIER PRODUCTIVITY AND DATA ENVELOPMENT ANALYSIS The IMVP study is a benchmarking study and can be considered a form of frontier analysis in that it identified best practices (i.e., the frontier) and measured other performance relative to best practice.

Farell () in his pioneering ork on productive efficiency throughw.