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Robust Critical Chain Scheduling for Construction Projects Considering Scheduling Pracitce

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dc.contributor.advisor박문서-
dc.contributor.author김남균-
dc.date.accessioned2018-05-29T03:11:54Z-
dc.date.available2018-05-29T03:11:54Z-
dc.date.issued2018-02-
dc.identifier.other000000151252-
dc.identifier.urihttps://hdl.handle.net/10371/141361-
dc.description학위논문 (석사)-- 서울대학교 대학원 : 공과대학 건축학과, 2018. 2. 박문서.-
dc.description.abstractScheduling is a major concern in construction planning and management. Construction Projects are always executed under uncertainty with various types of work involved (Ma et al.,2015-
dc.description.abstractLong and Ohsato, 2008). Uncertainties may lead to increase the risk of total duration delay, discrepancies between the actual and planned schedules and difficulties in planning schedules to assist site operation (Zhong et al., 2015). However, The CPM, most frequently used in the construction projects, often fails to cope with the uncertain environment and project delay frequently occurs.
CCS is a viable alternative as generating robust schedule using buffer. A few studies had attempted to apply CCS to construction, however, they did not reflect the diversity of construction activity and the scheduling process used in practice (Krystyna, 2017). Previous researches applying CCS for construction projects were not sufficient to verify CCSs practical usefulness as not reflecting the degree of uncertainty and the scheduling process in construction practice.
Therefore, in this research, we apply and simulate CCS to the construction by reflecting the many of practices. Also, this research evaluates and compare sthe performance of schedule in the measure of robustness, which is the ability to cope with uncertainty. To do this, questionnaire from practitioner were surveyed and monte carlo simulation model was developed to assess the performance of schedule.
As a result of the study, it was confirmed that various uncertainties of construction activity and construction practices should be considered when applying CCS to construction work. This research observed that the project completion probability was stable and the buffer consumption pattern changed according to the degree of uncertainty when reflecting the construction practice.
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dc.description.tableofcontentsChapter 1. Introduction 1
1.1. Research Background 1
1.2. Research Objective and Scope 6
1.3. Research Procedure 7

Chapter 2. Preliminary Study 10
2.1. Critical Chain Scheduling (CCS) 11
2.1.1. Robust Schedules 11
2.1.2. Definition of Robustness 13
2.2. Critical Chain Scheduling Concepts 15
2.2.1. Fundamentals of Critical Chain Scheduling (CCS) 15
2.2.2. Last-minute Syndrome and Parkinsons Law 18
2.2.3. Safety Time Estimate of CCS 20
2.3. Monte Carlo (MC) Simulation 21

Chapter 3. Model Development 23
3.1. Questionnaire 24
3.1.1. The Difference between the Planned and Executed Schedule 26
3.1.2. Duration Estimates in Practice 27
3.1.3. Probability Distribution of Construction Activities 28
3.2. Simulation Model Development 31
3.2.1. Various Uncertainty Level of Duration 33
3.2.2 Redefinition of Safety Time 35
3.2.3 Parameters for Disturbance 36
3.3. Output Derivation Process 39
3.3.1 Robustness of Schedule 41

Chapter 4. Robustness Analysis of Example Networks 43
4.1. CPM Network and Critical Chain Schedule 44
4.1.1. CPM Network 44
4.1.2. Conversion to CCS 46
4.2. Evaluating Robustness (simulation results) 48
4.2.1 Robustness of the Project 48
4.2.2 Robustness of the Activities 50
4.3. Discussion 52
4.3.1. Robustness of the Whole Project 52
4.3.2. Robustness of the Individual Activities 55

Chapter 5. Conclusion 58
5.1. Contribution 59
5.2. Further Study 60

Bibliography 61
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dc.formatapplication/pdf-
dc.format.extent2444243 bytes-
dc.format.mediumapplication/pdf-
dc.language.isoen-
dc.publisher서울대학교 대학원-
dc.subjectConstruction project scheduling-
dc.subjectCritical chain scheduling-
dc.subjectRobustness-
dc.subjectUncertainty-
dc.subjectMC (Monte Carlo) simulation-
dc.subject.ddc690-
dc.titleRobust Critical Chain Scheduling for Construction Projects Considering Scheduling Pracitce-
dc.typeThesis-
dc.description.degreeMaster-
dc.contributor.affiliation공과대학 건축학과-
dc.date.awarded2018-02-
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