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.

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.

• Type: Journal Article
• Keywords: Optimization; Scheduling; Project management;
• ISBN/ISSN: 0969-9988
• URL: https://doi.org/10.1108/ECAM-08-2019-0458
• Abstract:
  Interrupting work continuity provides a way to improve some project performance, but unexpected and harmful interruptions may impede the implementation. This paper aims to mitigate the negative impact caused by work continuity uncertainty based on the notion of robustness. This paper develops a float-based robustness measurement method for the work continuity uncertainty in repetitive projects. A multi-objective optimization model is formulated to generate a schedule that achieves a balance between crew numbers and robustness. This model is solved using two modules: optimization module and decision-making module. The Monte Carlo simulation is designed to validate the effectiveness of the generated schedule. The results confirmed that it is necessary to consider the robustness as an essential factor when scheduling a repetitive project with uncertainty. Project managers may develop a schedule that is subject to delays if they only make decisions according to the results of the deadline satisfaction problem. The Monte Carlo simulation validated that an appropriate way to measure robustness is conducive to generating a schedule that can avoid unnecessary delay, compared to the schedule generated by the traditional model. Available studies assume that the work continuity is constant, but it cannot always be maintained when affected by uncertainty. This paper regards the work continuity as a new type of uncertainty factor and investigates how to mitigate its negative effects. The proposed float-based robustness measurement can measure the ability of a schedule to absorb unpredictable and harmful interruptions, and the proposed multi-objective scheduling model provides a way to incorporate the uncertainty into a schedule.

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.