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Alwasel, A, Abdel-Rahman, E M, Haas, C T and Lee, S (2017) Experience, Productivity, and Musculoskeletal Injury among Masonry Workers. Journal of Construction Engineering and Management, 143(06).

Borges, W F and Mário, P d C (2017) Five Project-Duration Control Methods in Time Units: Case Study of a Linearly Distributed Planned Value. Journal of Construction Engineering and Management, 143(06).

Chang, R, Zuo, J, Soebarto, V, Zhao, Z, Zillante, G and Gan, X (2017) Discovering the Transition Pathways toward Sustainability for Construction Enterprises: Importance-Performance Analysis. Journal of Construction Engineering and Management, 143(06).

Dinca, M S, Barbuta-Misu, N, Madaleno, M, Dinca, G and Deari, F (2017) Integrated Analysis of EU Construction Companies’ Financial Performances. Journal of Construction Engineering and Management, 143(06).

Kwon, N, Park, M, Lee, H, Ahn, J and Kim, S (2017) Construction Noise Prediction Model Based on Case-Based Reasoning in the Preconstruction Phase. Journal of Construction Engineering and Management, 143(06).

Lee, D, Lee, S and Kim, S (2017) Composite Phase-Change Material Mold for Cost-Effective Production of Free-Form Concrete Panels. Journal of Construction Engineering and Management, 143(06).

Li, R and Roberti, R (2017) Optimal Scheduling of Railway Track Possessions in Large-Scale Projects with Multiple Construction Works. Journal of Construction Engineering and Management, 143(06).

Liu, H, Jazayeri, E and Dadi, G B (2017) Establishing the Influence of Owner Practices on Construction Safety in an Operational Excellence Model. Journal of Construction Engineering and Management, 143(06).

Liu, J, Xie, Q, Xia, B and Bridge, A J (2017) Impact of Design Risk on the Performance of Design-Build Projects. Journal of Construction Engineering and Management, 143(06).

Luo, X, Li, H, Dai, F, Cao, D, Yang, X and Guo, H (2017) Hierarchical Bayesian Model of Worker Response to Proximity Warnings of Construction Safety Hazards: Toward Constant Review of Safety Risk Control Measures. Journal of Construction Engineering and Management, 143(06).

Marrana, T C, Silvestre, J D, de Brito, J and Gomes, R (2017) Lifecycle Cost Analysis of Flat Roofs of Buildings. Journal of Construction Engineering and Management, 143(06).

Mohseni, H, Setunge, S, Zhang, G and Wakefield, R (2017) Markov Process for Deterioration Modeling and Asset Management of Community Buildings. Journal of Construction Engineering and Management, 143(06).

Pereira, E, Han, S, AbouRizk, S and Hermann, U (2017) Empirical Testing for Use of Safety Related Measures at the Organizational Level to Assess and Control the On-Site Risk Level. Journal of Construction Engineering and Management, 143(06).

Sullivan, J, Asmar, M E, Chalhoub, J and Obeid, H (2017) Two Decades of Performance Comparisons for Design-Build, Construction Manager at Risk, and Design-Bid-Build: Quantitative Analysis of the State of Knowledge on Project Cost, Schedule, and Quality. Journal of Construction Engineering and Management, 143(06).

  • Type: Journal Article
  • Keywords:
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001282
  • Abstract:
    Measuring the performance of design build (DB), construction manager at risk (CMR), and design-bid-build (DBB) delivery methods has been the subject of many construction research studies. The collective results of these studies are difficult to interpret because the studies extend over decades and some show mixed results as to which delivery method offers superior performance. This paper analyzes the current literature on the three most widely used project delivery methods, and combines the quantitative findings for five performance metrics: cost growth, unit cost, schedule growth, delivery speed, and quality. By combining these results, this paper considers a much larger data set of projects, which leads to more representative results and further confidence in the conclusions. The quantitative results from 30 existing studies representing 4,623 projects are combined, their methodologies are compared and contrasted, and are ordered chronologically to highlight temporal trends. Combining the results from current literature and weighting the findings using each study’s sample size shows that DB is the most effective in controlling cost growth (+2.8%) as compared with CMR (+5.8%) or DBB (+5.1%). No single delivery method consistently performs better on unit cost. CMR and DB were found to be the most accurate in controlling the schedule variation of a project, with an average schedule growth of +10.2 and +10.7%, respectively, as compared with a much higher +18.4% for DBB. Moreover, DB was found to be superior in delivery speed in all explored studies and continues to increase its advantage over time. The study also highlights methodological inconsistencies in the construction literature, which could be standardized to provide more comparable results among future studies. This paper contributes to the body of knowledge by analyzing two decades of project delivery systems literature to compare the cost, schedule, and quality performance of DB, CMR, and DBB delivery systems.

Teo, P and Love, P E D (2017) Re-Examining the Association between Quality and Safety Performance in Construction: From Heterogeneous to Homogeneous Datasets. Journal of Construction Engineering and Management, 143(06).

Yeh, H, Hsieh, T and Chen, J (2017) Managing Complex Engineering Interfaces of Urban Mass Rapid Transit Projects. Journal of Construction Engineering and Management, 143(06).

Yuan, C, McClure, T, Cai, H and Dunston, P S (2017) Life-Cycle Approach to Collecting, Managing, and Sharing Transportation Infrastructure Asset Data. Journal of Construction Engineering and Management, 143(06).

Zahoor, H, Chan, A P C, Utama, W P, Gao, R and Memon, S A (2017) Determinants of Safety Climate for Building Projects: SEM-Based Cross-Validation Study. Journal of Construction Engineering and Management, 143(06).

Zhao, Z, Tang, C, Zhang, X and Skitmore, M (2017) Agglomeration and Competitive Position of Contractors in the International Construction Sector. Journal of Construction Engineering and Management, 143(06).