ARCOM

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Adinyira, E, Manu, P, Agyekum, K, Mahamadu, A and Olomolaiye, P O (2020) Violent behaviour on construction sites: structural equation modelling of its impact on unsafe behaviour using partial least squares. Engineering, Construction and Architectural Management, 27(10), 3363–93.

Aghimien, D O, Aigbavboa, C O and Oke, A E (2020) Critical success factors for digital partnering of construction organisations – a Delphi study. Engineering, Construction and Architectural Management, 27(10), 3171–88.

Ahiaga-Dagbui, D D, Tokede, O, Morrison, J and Chirnside, A (2020) Building high-performing and integrated project teams. Engineering, Construction and Architectural Management, 27(10), 3341–61.

Alleman, D and Lee, E (2020) Mitigating the legal challenges of imposing disincentives on nonperforming transportation projects. Engineering, Construction and Architectural Management, 27(10), 2859–91.

Arbabi, H, Salehi-Taleshi, M and Ghods, K (2020) The role of project management office in developing knowledge management infrastructure. Engineering, Construction and Architectural Management, 27(10), 3261–87.

Bevan, W, Lu, S and Sexton, M (2020) Skills required to deliver energy efficient school retrofit buildings. Engineering, Construction and Architectural Management, 27(10), 3051–73.

Huynh, T T, Dang, C N, Le-Hoai, L, Pham, A and Nguyen, T D (2020) Proposing a strategy map for coastal urban project success using the balanced scorecard method. Engineering, Construction and Architectural Management, 27(10), 2993–3030.

Irfan, M, Malik, M S A and Kaka Khel, S S U H (2020) Effect of factors of organizational structure influencing nonphysical waste in road projects of developing countries. Engineering, Construction and Architectural Management, 27(10), 3135–53.

Kim, S Y, Nguyen, M V and Luu, V T (2020) A performance evaluation framework for construction and demolition waste management: stakeholder perspectives. Engineering, Construction and Architectural Management, 27(10), 3189–213.

Lin, Y, Guo, Y, Kim, C, Chen, P and Qian, M (2020) The impact of relational governance on the adaptability of international contractors: a comparative study between China and Korea. Engineering, Construction and Architectural Management, 27(10), 3235–59.

Liu, B, Xue, B, Meng, J, Chen, X and Sun, T (2020) How project management practices lead to infrastructure sustainable success: an empirical study based on goal-setting theory. Engineering, Construction and Architectural Management, 27(10), 2797–833.

Loosemore, M, Higgon, D and Osborne, J (2020) Managing new social procurement imperatives in the Australian construction industry. Engineering, Construction and Architectural Management, 27(10), 3075–93.

Olanrewaju, O I, Chileshe, N, Babarinde, S A and Sandanayake, M (2020) Investigating the barriers to building information modeling (BIM) implementation within the Nigerian construction industry. Engineering, Construction and Architectural Management, 27(10), 2931–58.

Oshodi, O, Edwards, D J, lam, K C, Olanipekun, A O and Aigbavboa, C O (2020) Construction output modelling: a systematic review. Engineering, Construction and Architectural Management, 27(10), 2959–91.

Song, Z, Yang, F, Boezeman, E J and Li, X (2020) Do new-generation construction professionals be provided what they desire at work? A study on work values and supplies–values fit. Engineering, Construction and Architectural Management, 27(10), 2835–58.

Sun, C, Xu, H and Jiang, S (2020) Understanding the risk factors of BIM technology implementation in the construction industry: an interpretive structural modeling (ISM) approach. Engineering, Construction and Architectural Management, 27(10), 3289–308.

Sun, M, Zhu, F and Sun, X (2020) Influencing factors of construction professionals’ burnout in China: a sequential mixed-method approach. Engineering, Construction and Architectural Management, 27(10), 3215–33.

Türkakın, O H, Manisalı, E and Arditi, D (2020) Delay analysis in construction projects with no updated work schedules. Engineering, Construction and Architectural Management, 27(10), 2893–909.

• Type: Journal Article
• Keywords: Estimating; Simulation; Scheduling; Novel method;
• ISBN/ISSN: 0969-9988
• URL: https://doi.org/10.1108/ECAM-09-2019-0470
• Abstract:
  In smaller projects with limited resources, schedule updates are often not performed. In these situations, traditional delay analysis methods cannot be used as they all require updated schedules. The objective of this study is to develop a model that performs delay analysis by using only an as-planned schedule and the expense records kept on site. This study starts out by developing an approach that estimates activity duration ranges in a network schedule by using as-planned and as-built s-curves. Monte Carlo simulation is performed to generate candidate as-built schedules using these activity duration ranges. If necessary, the duration ranges are refined by a follow-up procedure that systematically relaxes the ranges and develops new as-built schedules. The candidate schedule that has the closest s-curve to the actual s-curve is considered to be the most realistic as-built schedule. Finally, the as-planned vs. as-built delay analysis method is performed to determine which activity(ies) caused project delay. This process is automated using Matlab. A test case is used to demonstrate that the proposed automated method can work well. The automated process developed in this study has the capability to develop activity duration ranges, perform Monte Carlo simulation, generate a large number of candidate as-built schedules, build s-curves for each of the candidate schedules and identify the most realistic one that has an s-curve that is closest to the actual as-built s-curve. The test case confirmed that the proposed automated system works well as it resulted in an as-built schedule that has an s-curve that is identical to the actual as-built s-curve. To develop an as-built schedule using this method is a reasonable way to make a case in or out of a court of law. Practitioners specifying activity ranges to perform Monte Carlo simulation can be characterized as subjective and perhaps arbitrary. To minimize the effects of this limitation, this study proposes a method that determines duration ranges by comparing as-built and as-planned cash-flows, and then by systematically modifying the search space. Another limitation is the assumption that the precedence logic in the as-planned network remains the same throughout construction. Since updated schedules are not available in the scenario considered in this study, and since in small projects the logic relationships are fairly stable over the short project duration, the assumption of a stable logic throughout construction may be reasonable, but this issue needs to be explored further in future research. Delays are common in construction projects regardless of the size of the project. The critical path method (CPM) schedules of many smaller projects, especially in developing countries, are not updated during construction. In case updated schedules are not available, the method presented in this paper represents an automated, practical and easy-to-use tool that allows parties to a contract to perform delay analysis with only an as-planned schedule and the expense logs kept on site. Since an as-built schedule cannot be built without updated schedules, and since the absence of an as-built schedule precludes the use of any delay analysis method that is acceptable in courts of law, using the method presented in this paper may very well be the only solution to the problem.

Tong, R, Zhang, N, Wang, X and Zhao, H (2020) Impact of safety management system on safety performance: the mediating role of safety responsibility. Engineering, Construction and Architectural Management, 27(10), 3155–70.

Vahdatmanesh, M and Firouzi, A (2020) Construction material supply risk management using Asian option contracts: the case of a pipeline project. Engineering, Construction and Architectural Management, 27(10), 3395–414.

Wang, Y, Ye, G, Zhang, Y, Mu, P and Wang, H (2020) Total factor productivity growth and its contribution: lessons from the Chinese construction industry pre- and post-2008 financial crisis. Engineering, Construction and Architectural Management, 27(10), 2911–29.

Zhang, L, Dai, G, Zou, X and Qi, J (2020) Robustness-based multi-objective optimization for repetitive projects under work continuity uncertainty. Engineering, Construction and Architectural Management, 27(10), 3095–113.

Zhang, N, Hwang, B, Deng, X and Tay, F (2020) Collaborative contracting in the Singapore construction industry: current status, major barriers and best solutions. Engineering, Construction and Architectural Management, 27(10), 3115–33.

Zhang, Q, Chong, H, Liao, P and Wan, Y (2020) Logistic regression modeling of implementation of corporate safety policy in international infrastructures. Engineering, Construction and Architectural Management, 27(10), 3031–50.

Zhang, Y, Luo, W, Shan, M, Pan, D and Mu, W (2020) Systematic analysis of PPP research in construction journals: from 2009 to 2019. Engineering, Construction and Architectural Management, 27(10), 3309–39.