Luận án: Hệ thống đánh giá dự án xây dựng định lượng đa tiêu chí và ứng dụng chọn nhà thầu

A QUANTITATIVE MULTI-CRITERIA CONSTRUCTION PROJECT EVALUATION SYSTEM AND APPLICATION IN CONTRACTOR SELECTION PROCESS Mrs. Thu Anh Nguyen 1236616598 A Dissertation Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy Program in Civil Engineering Department of Civil Engineering Faculty of Engineering Chulalongkorn University Academic Year 2013 Copyright of Chulalongkorn University øąïïÖćøðøąđöĉîēÙøÜÖćøÖŠĂÿøšćÜđßĉÜðøĉöćèēé÷ĔßšĀúć÷ĀúĆÖđÖèæŤĒúąÖćøðøą÷čÖêŤĔî ÖøąïüîÖćøÙĆéđúČĂÖñĎšøĆïÝšćÜ îćÜìĎǰĂĆîĀŤǰđÜĊ÷î 1236616598 üĉì÷ćîĉóîíŤîĊĚđðŨîÿŠüîĀîċęÜ×ĂÜÖćøýċÖþćêćöĀúĆÖÿĎêøðøĉââćüĉýüÖøøöýćÿêøéčþãĊïĆèæĉê ÿć×ćüĉßćüĉýüÖøøöē÷íćǰõćÙüĉßćüĉýüÖøøöē÷íć ÙèąüĉýüÖøøöýćÿêøŤǰÝčāćúÜÖøèŤöĀćüĉì÷ćúĆ÷ ðŘÖćøýċÖþćǰ2556 úĉ×ÿĉìíĉĝ×ĂÜÝčāćúÜÖøèŤöĀćüĉì÷ćúĆ÷ Thesis Title A QUANTITATIVE MULTI-CRITERIA CONSTRUCTION PROJECT EVALUATION SYSTEM AND APPLICATION IN CONTRACTOR SELECTION PROCESS By Mrs. Thu Anh Nguyen Field of Study Civil Engineering Thesis Advisor Associate Professor Visuth Chovichien, Ph. Thesis Co-Advisor Associate Professor Takano Shin-ei, Ph.

Accepted by the Faculty of Engineering, Chulalongkorn University in Partial Fulfillment of the Requirements for the Doctoral Degree Dean of the Faculty of Engineering (Professor Bundhit Eua-arporn, Ph.) 1236616598 THESIS COMMITTEE Chairman (Associate Professor Veerasak Likhitruangsilp, Ph.) Thesis Advisor (Associate Professor Visuth Chovichien, Ph.) Thesis Co-Advisor (Associate Professor Takano Shin-ei, Ph.) Examiner (Associate Professor Wisanu Subsompon, Ph.) Examiner (Assistant Professor Vachara Peansupap, Ph.) External Examiner (Natee Suriyanon, Ph.) iv ìĎǰĂĆîĀŤǰđÜĊ÷îǰǰøąïïÖćøðøąđöĉîēÙøÜÖćøÖŠĂÿøšćÜđßĉÜðøĉöćèēé÷ĔßšĀúć÷ĀúĆÖđÖèæŤĒúąÖćøðøą÷čÖêŤĔî ÖøąïüîÖćøÙĆ é đúČ Ă ÖñĎš øĆ ï Ýš ć Üǰ A QUANTITATIVE MULTI-CRITERIA CONSTRUCTION PROJECT EVALUATION SYSTEM AND APPLICATION IN CONTRACTOR SELECTION PROCESS) Ă  ìĊę ð øċ Ö þ ć üĉì÷ćîĉóîíŤĀúĆÖǰøýǰéøǰüĉÿčìíĉĝǰߊĂüĉđßĊ÷ø, ĂìĊęðøċÖþćüĉì÷ćîĉóîíŤøŠüöǰAssoc. Takano Shin-ei, 331ǰĀîšć ÖćøðøąđöĉîÙüćöÿĞćđøĘÝ ×ĂÜēÙøÜÖćøÖŠ ĂÿøšćÜđðŨîÿĉęÜÿĞćÙĆâÿĞćĀøĆïñĎšìĊęđÖĊę ÷ üךĂÜǰǰǰǰÿĞćĀøĆïñĎšéĞćđîĉîÖćø ÖŠĂÿøšćÜĕéšðøąē÷ßîŤÝćÖÖćøðøąđöĉîĒúąÖćøđðøĊ÷ïđìĊ÷ïđöČęĂēÙøÜÖćøĒúšüđÿøĘÝǰǰǰǰǰÿĞćĀøĆïĀîŠü÷ÜćîøĆåĕéšåćîךĂöĎúĔî Öćøߊü÷ðøąđöĉîēÙøÜÖćøǰǰðøąđöĉîðøąÿĉìíĉõćó×ĂÜñĎšøĆïÝšćÜǰĒúąĒîüēîšö×ĂÜðøąÿĉìíĉõćó×ĂÜēÙøÜÖćøÖŠĂÿøšćÜǰǰǰǰǰ ÿŠüîÿĞćĀøĆïđÝšć×ĂÜēÙøÜÖćøîĆĚîߊü÷ĔîÖćøóĉÝćøèćēÙøÜÖćøÖŠĂÿøšćÜìĊęĒúšüđÿøĘÝĒúąđðŨîךĂöĎúĂšćÜĂĉÜÿĞćĀøĆïÖćøüćÜÖú ÷čìíŤÿĞćĀøĆïēÙøÜÖćøëĆéĕðǰǰǰǰǰǰǰøąïïÖćøðøąđöĉîēÙøÜÖćøÖŠĂÿøšćÜđðŨîđðŜćĀöć÷ìĊęÿĞćÙĆâēé÷đÞóćąĂ÷ŠćÜ÷ĉęÜÿĞćĀøĆï ðøąđìýÖĞćúĆÜóĆçîćĔîÖćøðøąđöĉîđßĉÜðøĉöćèĒúąÖćøîĞćĕðĔßšÜćîĂ÷ŠćÜđĀöćąÿöǰǰǰǰǰǰǰéĆÜîĆĚîüĆêëčðøąÿÜÙŤ×ĂÜÜćîüĉÝĆ÷ îĊĚÙČĂǰÖćøîĞćđÿîĂøąïïÖćøðøąđöĉîēÙøÜÖćøÖŠĂÿøšćÜđßĉÜðøĉöćèēé÷ĔßšĀúć÷ĀúĆÖđÖèæŤĒúąđóČęĂđðŨîåćîĂšćÜĂĉÜđóČęĂÖćø ÙĆéđúČĂÖñĎšøĆïÝšćÜĔîÖćøðøąÖüéøćÙćÜćîÖŠĂÿøšćÜ ĔîøąïïÖćøðøąđöĉîîĊĚǰ ǰǰēÙøÜÖćøÖŠĂÿøšćÜëĎÖðøąđöĉîĔîǰǰ2 øąéĆïǰēé÷øąéĆïĒøÖđøĊ÷ÖüŠćǰêĆüßĊĚüĆéǰǰǰĒêŠúą êĆüßĊĚüĆéëĎÖ ðøąđöĉîêćöĀúĆÖ đÖèæŤǰàċęÜëČĂđðŨîøąéĆïìĊęÿĂÜǰēé÷ðøąđöĉîđßĉÜðøĉöćèÝćÖךĂöĎúÝøĉÜ×ĂÜñĎšđÖĊę ÷ üךĂÜÖĆ ï ēÙøÜÖćøÖŠ ĂÿøšćÜìčÖ òść÷đöČęĂÝïēÙøÜÖćøǰǰǰǰǰǰøąïïëĎÖÿøšćÜ×ċĚîēé÷ĂćýĆ÷ ìùþãĊÖćøðøąđöĉîĀúć÷ĀúĆÖ đÖèæŤǰÖćø ðøąđöĉîđßĉÜðøĉöćèĒúąĒïïÝĞćúĂÜđßĉÜđÿšîǰǰǰǰǰöĊÖćøđÖĘïךĂöĎúðåöõĎöĉǰ4 øĂïĔĀâŠĒúąÖćøÙšîÙüšćךĂöĎúđßĉÜđĂÖÿćøÝćÖ ïøĉþĆìñĎšøĆïÝšćÜÖŠĂÿøšćÜđðŨîđüúćǰ2 ðŘǰǰǰǰǰǰÝćÖÖćøÿĞćøüÝđïČĚĂÜêšîÿćöćøëøąïčǰ10 êĆüßĊĚüĆéĒúąǰ45 ĀúĆÖđÖèæŤǰēé÷êĆüßĊĚüĆé 1236616598 ðøąÖĂïéšü÷ǰøą÷ąđüúćēÙøÜÖćøǰǰǰêšîìčîēÙøÜÖćøǰǰǰÙčèõćóēÙøÜÖćøǰǰǰøąïïÙüćöðúĂéõĆ÷×ĂÜēÙøÜÖćøǰǰǰđìÙîĉÙ ÖćøÖŠĂÿøšćÜǰǰǰñúĉêõćóǰǰǰÙüćöóĂĔÝ×ĂÜñĎšđÖĊę÷üךĂÜǰǰÙüćö÷ĆęÜ÷ČîéšćîÿĉęÜĒüéúšĂöǰǰǰÖćøÿČęĂÿćøǰĒúąǰךĂóĉóćìĒúąÙéĊ ÙüćöǰǰǰǰǰǰÖćøÿĞćøüÝéšćîÙüćöÿĞćÙĆâǰ Importance Survey) đóČęĂøąïčÙŠćëŠüÜîĚĞćĀîĆÖ×ĂÜêĆüßĊĚüĆéĒúąĀúĆÖđÖèæŤêŠćÜėǰ àċęÜñĎšüĉÝĆ÷ĕéšĔßšüĉíĊǰSumming Responses, Structural Equation Modeling ĒúąǰÖćøñÿöñÿćîøąĀüŠćÜǰBattelle EES ĒúąǰImportance Scale Matrix ñĎšüĉÝĆ÷ĕéšêøüÝÿĂïÙüćöÿöïĎøèŤ×ĂÜøąïï ǰTesting Survey) ǰǰǰĕéšìĞćÖćøÿĞćøüÝ üÜÖüšćÜ ǰLarge Scale Survey) đóČęĂǰóĆçîćךĂöĎúÿĞćĀøĆïÖćøðøąđöĉîēÙøÜÖćøÖŠ ĂÿøšćÜǰǰǰǰñúÖćøÿĞćøüÝÿøčðĕéšüŠć ñúúĆóíŤ×ĂÜøąïïöĊÙüćöÿöđĀêčÿöñúǰǰǰǰÿćöćøëĂíĉïć÷ĕéšĒúąÿĂéÙúšĂÜÖĆïđĂÖÿćøĒúąÜćîüĉÝĆ÷ĔîĂéĊêĒúąóùêĉÖøøö ×ĂÜĂčêÿćĀÖøøöÖćøÖŠĂÿøšćÜǰǰǰǰǰǰñúìĊęĕéšÿćöćøëîĞćöćĔßšđðŨîøąéĆïĂšćÜĂĉÜĔîÖćøÙĆéđúČĂÖñĎšøĆïÝšćÜĔîÖøąïüîÖćø ðøąÖüéøćÙćēÙøÜÖćøĕéš øąïïðøąđöĉîēÙøÜÖćøÖŠĂÿøšćÜđßĉÜðøĉöćèēé÷ĔßšĀúć÷ĀúĆÖđÖèæŤǰ QMCPE) đðŨîÖćøðøąđöĉîđßĉÜðøĉöćèǰìĊę đúĊę÷ÜĂÙêĉǰÿąéüÖĒúąÿćöćøëðøą÷čÖêŤĕéšǰǰǰēé÷øąïïîĊĚðøąÖĂïéšü÷êĆüßĊĚüĆéǰĀúĆÖđÖèæŤÖćøðøąđöĉîǰǰÖćøëŠüÜîĚĞćĀîĆÖǰǰ üĉíĊÖćøðøąđöĉîêĆüßĊĚüĆéĒúąĀúĆÖđÖèæŤĂ÷ŠćÜÙøïëšüîǰǰǰǰǰǰǰÙŠćÙąĒîîÖćøðøąđöĉî÷ĆÜÿćöćøëîĞćĕðĔßšðøąē÷ßîŤĂ÷ŠćÜĂČęîĕéš ĂĊÖǰǰǰǰĔîÜćîüĉÝĆ÷îĊĚǰñĎšüĉÝĆ÷ĕéšóĆçîćàĂôĒüøŤßČęĂǰVT Software ēé÷ĂćýĆ÷ĀúĆÖÖćø×ĂÜǰQMCPE đóČęĂߊü÷ĔĀšÖøąïüîÖćø ðøąđöĉîìĞćĕéšøüéđøĘüǰǰÿąéüÖǰǰđßČęĂëČĂĕéšĒúąðøą÷čÖêŤĕéšĂ÷ŠćÜđĀöćąÿö÷ĉęÜ×ċĚî õćÙüĉßć üĉýüÖøøöē÷íć úć÷öČĂßČęĂîĉÿĉê THAI ABSTRACT ÿć×ćüĉßć üĉýüÖøøöē÷íć úć÷öČĂßČęĂǰĂìĊęðøċÖþćüĉì÷ćîĉóîíŤĀúĆÖ ðŘÖćøýċÖþć 2556 úć÷öČĂßČęĂǰĂìĊęðøċÖþćüĉì÷ćîĉóîíŤøŠüö v # # 5371845321 : MAJOR CIVIL ENGINEERING KEYWORDS: CONSTRUCTION PROJECT EVALUATION / CONSTRUCTION SUCCESS / WEIGHT ASSIGNMENT / MULTI-CRITERIA EVALUATION THU ANH NGUYEN: A QUANTITATIVE MULTI-CRITERIA CONSTRUCTION PROJECT EVALUATION SYSTEM AND APPLICATION IN CONTRACTOR SELECTION PROCESS. VISUTH CHOVICHIEN, Ph., CO-ADVISOR: ASSOC. TAKANO SHIN-EI, Ph.

Construction project success evaluation is considered very important to all project stakeholders. For contractor, project evaluation is useful to assess and compare when project was completed. For the government management, it helps to develop a database of construction project evaluation, contractor performance, and tendency of construction project performance. For the owner, it helps to look back how project was performed and provide a reference for future project strategy.

A construction project evaluation system, which was quantitative and applicable, is an urgent mission, especially in developing countries. Therefore, the objective of this research is to establish the quantitative multi-criteria construction project evaluation system, and provide a reference for contractor selection in bidding process. In this evaluation system, construction project is evaluated in two levels. The first level is called indicator.

Each indicator is assessed by criteria, second level. It considers the quantitative evaluation from all project stakeholders which is based on actual information when project was completed. In order to establish the evaluation system, multi-criteria evaluation based theory, quantitative method, linear additive models were applied. Four main surveys and documentary searching were carried out in two years at construction companies.

1236616598 The preliminary survey was performed to get the final list of indicators and criteria which included ten indicators and forty-GJWFǰDSJUFSJBǰ5IFǰJOEJDBUPSTǰXFSFǰij1SPKFDUǰ 5JNFĴ ǰij1SPKFDUǰ$PTUĴ ǰij1SPKFDUǰ2VBMJUZĴ ǰij1SPKFDUǰ 4BGFUZĴ ǰ ij5FDIOJDBMǰ 1FSGPSNBODFĴ ǰ ij1SPEVDUJWJUZĴ ǰ ij4UBLFIPMEFSǰ 4BUJTGBDUJPOĴ ǰ ij4VTUBJOBCMFǰ &OWJSPONFOUĴ ǰ ij$PNNVOJDBUJPOĴ ǰ BOEǰ ij%JTQVUFTǰ ǰ -JUJHBUJPOĴǰ 5IFǰ JNQPSUBODFǰ TVSWFZǰ XBTǰ EFTJHOFEǰ UPǰ BDIJFWFǰ XFJHIUǰ assignment for indicators and criteria. Three methods, which were Summing Responses, Structural Equation Modeling, and Combination of Battelle EES & Importance Scale Matrix, were appropriate and used for final result. Testing survey was conducted to validate and evaluate the system. Then, large scale survey was performed to develop data for construction project evaluation.

The large scale survey result was reasonable, explainable, and compatible with literature review and practical performance of construction industry during investigation. This result provided a reference threshold for contractor selection process in bidding. Finally, the quantitative multi-criteria construction project evaluation (QMCPE) system was achieved. QMCPE is quantitative, bias avoiding, easy, and applicable.

QMCPE provides the complete indicators and criteria of evaluation system, their quantitative weight assignment, instruction for evaluating each indicator and criterion, their measurement scale, and their combination method. QMCPE also points out the project evaluation score for further application. The software solution was designed, named VT Software, based on the concept of QMCPE system, to make the evaluation process faster, easier, more reliable and applicable. Department: Civil Engineering Student's Signature Field of Study: Civil Engineering ENGLISH ABSTRA CT Advisor's Signature Academic Year: 2013 Co-Advisor's Signature vi ACKNOWLEDGEMENTS First and foremost I offer my sincerest gratitude to my advisor, Dr.

Visuth Chovichien and co-advisor, Dr. Takano Shin-ei, whose encouragement, guidance and support from the initial to the final level enabled me to develop an understanding of the subject, continuous and unconditional guidance and support at each step of the study. This dissertation would not have been a real fulfillment without the backing and cooperation of these people who have supported me throughout my thesis with their patience and knowledge. I wish to express my deepest gratitude to Dr.

Visuth Chovichien, he is not only an advisor but also a father, a friend, who I can share both pleasures and sadness. I cannot have a word to describe my blessings to my deceased Mother. She stood all sacrifices and hardships for my study. Her words will always be the sound of my life.

My family members deserve also the dearest gratitude for their endless love and efforts that encouraged me to realize my goals. I would like to express my sincere gratitude to ASEAN University Network ı 1236616598 Southeast Asia Engineering Education Development Network Project (AUN/SEED-Net) for HJWJOHǰNFǰUIFǰPQQPSUVOJUZǰUPǰQVSTVFǰBǰ%PDUPSBMĴTǰ%FHSFFǰJOǰ$JWJMǰ&OHJOFFSJOHǰJOǰUIFǰGJFMEǰPGǰ Construction Engineering and Management. I also thank the International School of Engineering (ISE) at Chulalongkorn University for their supporting programs. I express my gratitude to Chulalongkorn University for providing a wonderful educational environment for studying.

I would like to show my gratitude to the professional contributions of construction companies and their representatives who participated into the survey part of the research sparing their invaluable hours to respond to survey questions. Their positive concern and contribution made this study test verify and reach its objectives. My sincere thanks to all committee members, namely, Dr. Veerasak Likhitruangsilp, Dr.

Wisanu Subsompon, Dr. Vachara Peansupap, and Dr. Their challenging questions and orientation on my proposal report have strengthened the framework of this research. Finally, I would like to express my special thanks to my friends in CEM field for their helps, thanks to my family for their continuous care, love, and support.

I thank you from the bottom of my heart. I owe everlasting gratefulness to many people who pleasantly involved themselves in helping me undertake this dissertation. I offer my regards to all of those who supported me in any respect during the completion of the thesis to date. CONTENTS Page THAI ABSTRACT .iv ENGLISH ABSTRACT.

vii LIST OF TABLES. xiv LIST OF FIGURES. xvi CHAPTER 1 INTRODUCTION .2 Statement of Problem. 14 CHAPTER 2 LITERATURE REVIEW .1 Bidding System in Construction .3 Evaluation Criteria in Bidding Process .4 Bidding System in Vietnam .5 Bidding System in Thailand.2 Correlation between Selecting Contractor and Project Success .3 Concept of Project Success in Construction Industry .1 Definition of Project Success .2 Definition of Construction Project Success.3 Project Success and Project Management Success .4 Project Success Criteria and Project Success Factor .4 Project Success Measurement .5 Multi-Criteria Evaluation Based Theory .6 Linear Additive Models and Quantitative Multi-Criteria Evaluation .7 Weight Assignment Methodology .1 Subjective Weighting Method.2 Objective Weighting Method .8 Summary of Literature Review.

63 CHAPTER 3 PROPOSED QUANTITATIVE MULTI-CRITERIA CONSTRUCTION PROJECT EVALUATION SYSTEM .1 Proposed Quantitative Multi-Criteria Construction Project Evaluation System .2 Indicators and Criteria in the QMCPE System .3 Quantitative Weight Assignment in the QMCPE System. 74 CHAPTER 4 RESEARCH METHODOLOGY.2 Data Collection Method .2 Data Collection Method .3 Preliminary Survey ı Phase II .1 Survey Purposes and Research Type .3 Population and Sample Size .4 Importance Survey ı Phase III .2 Sampling Technique and Sample Size .5 The QMCPE system and Testing Survey ı Phase IV .6 Large Scale Survey ı Phase V .1 Data Collection Tools .7 Application Software Design ı Phase VI .1 PHP Programming Introduction. 93 CHAPTER 5 PRELIMINARY RESEARCH .1 Feasibility Study of Providing Information from Construction Field for Research .1 Data Collection Tools .2 Sampling Technique and Sample Size .4 Information Collection Capacity of Proposed Indicators and Criteria.2 Survey of Importance Level and Applicability of Proposed Indicators and Criteria .2 Reliability Analysis of Scale .3 Importance Level and Applicability Results .3 Proposed List of Indicators and Criteria in MQCPE System. 112 CHAPTER 6 WEIGHT ASSIGNMENT FOR INDICATORS AND CRITERIA OF CONSTRUCTION PROJECT SUCCESS EVALUATION SYSTEM .1 General Survey Details .2 Reliability Analysis of Scale .3 Weight Assignment Using Summing Responses Method .4 Weight Assignment Using Structural Equation Modeling (SEM) .1 Goodness-of-fit Measures.2 Weight Assignment for Indicators and Criteria Using Structural Equation Modeling .5 Weight Assignment Using Combination of BEES & Importance Scale Matrix Method .6 Comparison and Final Weight Assignment Result.

136 CHAPTER 7 QUANTITATIVE MULTI-CRITERIA CONSTRUCTION PROJECT EVALUATION SYSTEM ı TESTING SURVEY .1 Quantitative Multi-Criteria Construction Evaluation System. 137 ǰ*OEJDBUPSǰij1SPKFDUǰ$PTUĴ. 137 ǰ*OEJDBUPSǰij1SPKFDUǰ5JNFĴ. 138 ǰ*OEJDBUPSǰij1SPKFDUǰ2VBMJUZĴ.

138 ǰ*OEJDBUPSǰij1SPKFDUǰ4BGFUZĴ. 139 ǰ*OEJDBUPSǰij5FDIOJDBMǰ1FSGPSNBODFĴ. 140 xi Page ǰ*OEJDBUPSǰij1SPKFDUǰ4UBLFIPMEFSTǰ4BUJTGBDUJPOĴ. 140 ǰ*OEJDBUPSǰij$PNNVOJDBUJPOĴǰBNPOHǰ1SPKFDUǰ4UBLFIPMEFSTǰJOǰ1SPKFDU.

141 ǰ*OEJDBUPSǰij%JTQVUFǰBOEǰ-JUJHBUJPOĴ .2 Combination Overall Score Methodology .2 General Projects Information.3 Evaluation Case Study of Representative Projects .4 Evaluating the Construction Project Success Evaluation System. 153 1236616598 CHAPTER 8 CONSTRUCTION PROJECT EVALUATION USING QUANTITATIVE MULTI- CRITERIA EVALUATION SYSTEM - LARGE SCALE SURVEY.1 General Survey Details .1 Data Collection Tools .2 General Project Information .3 Project Evaluation Results Using Quantitative Multi-Criteria Construction Project Evaluation System .4 Relationship between Project Evaluation and Project Characteristic. 165 CHAPTER 9 SOFTWARE SYSTEM FOR QUANTITATIVE MULTI-CRITERIA CONSTRUCTION PROJECT EVALUATION SYSTEM. 178 CHAPTER 10 SUMMARY AND CONCLUSION .2 Research Discussion and Conclusion .4 Limitations and Directions for Future Research.

195 QUESTIONNAIRE AND DOCUMENT CHECKLIST USED IN PRELIMINARY SURVEY (ENGLISH). 210 QUESTIONNAIRE AND DOCUMENT CHECKLIST USED IN PRELIMINARY SURVEY 1236616598 (VIETNAMESE). 226 DATA ANALYSIS OF PRELIMINARY SURVEY. 251 WEIGHT ASSIGNMENT FOR INDICATORS AND CRITERIA IN THE QMCPE SYSTEM.

274 EVALUATION GUIDE OF THE QMCPE SYSTEM. 309 LARGE SCALE SURVEY RESULTS. 331 LIST OF TABLES Table 1.1 Bidders evaluation process in Vietnam.1 Weights of criteria and sub-criteria of the case study .2 Rationale for the choice of criteria for questionnaire survey ı contractor selection (Fong and Choi, 2000) .3 Case study results from AHP and ANP model of Pastor-Ferrando et al.4 Summary of criteria used in selecting contractor .5 Bidding problems in targeted countries .6 Success-related factors developed by (Chua et al.7 Summary of project success criteria over 1990-2000 (Chan et al.8 Summary list of indicators and criteria and their evaluation methods from literature review .9 Summaries of MCA methods (Wager, 2007) .1 Initial list of indicators and criteria in the QMCPE system .1 Description of sampling tools (Cozby, 2007) .1 Capacity to collect information about project cost .2 Summary probability of successful information collecting. 100 5BCMFǰǰ$SPOCBDIĴTǰBMQIB for project cost scale (N = 65).4 Descriptive statistics and testing hypothesis result of indicators and criteria in importance scale .5 Descriptive statistics and testing hypothesis result of indicators and criteria in applicability scale .6 Summary of results to select criteria of the QMCPE system .1 List of indicators and criteria in the QMCPE system and their descriptive analysis results (N=266).

115 5BCMFǰǰ$SPOCBDIĴTǰBMQIBǰGPSǰDPOTUSVDUJPOǰQSPKFDUǰFWBMVBUJPOǰTDBMFǰ /ǰǰ. 118 5BCMFǰǰ$SPOCBDIĴTǰBMQIBǰGPSǰJOEJDBUPSTǰPGǰDPOTUSVDUJPOǰQSPKFDUǰFWBMVBUJPOǰTDBMFǰ /ǰǰ 266) .4 Weight assignment for indicators by Summing Responses method (N=266) .5 Weight assignment for criteria by Summing Responses method (N=266) .6 Cutoff criteria for several fit indexes .7 Path coefficient and weight assignment for indicators by SEM (N=266) .8 Path coefficient and weight assignment for criteria by SEM (N=266) .9 Basic concept of weight assignment using ISM method .