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Arif, M, Al Zubi, M, Gupta, A D, Egbu, C, Walton, R O and Islam, R (2017) Knowledge sharing maturity model for Jordanian construction sector. Engineering, Construction and Architectural Management, 24(01), 170-88.
Asiedu, R O, Frempong, N K and Alfen, H W (2017) Predicting likelihood of cost overrun in educational projects. Engineering, Construction and Architectural Management, 24(01), 21-39.
Chang-Richards, Y, Wilkinson, S, Seville, E and Brunsdon, D (2017) Effects of a major disaster on skills shortages in the construction industry: Lessons learned from New Zealand. Engineering, Construction and Architectural Management, 24(01), 2-20.
Davies, K, McMeel, D J and Wilkinson, S (2017) Making friends with Frankenstein: Hybrid practice in BIM. Engineering, Construction and Architectural Management, 24(01), 78-93.
Kärnä, S and Junnonen, J-M (2017) Designers’ performance evaluation in construction projects. Engineering, Construction and Architectural Management, 24(01), 154-69.
Kalutara, P, Zhang, G, Setunge, S and Wakefield, R (2017) Factors that influence Australian community buildings’ sustainable management. Engineering, Construction and Architectural Management, 24(01), 94-117.
Lu, W, Hua, Y and Zhang, S (2017) Logistic regression analysis for factors influencing cost performance of design-bid-build and design-build projects. Engineering, Construction and Architectural Management, 24(01), 118-32.
Lu, W, Li, Z and Wang, S (2017) The role of justice for cooperation and contract’s moderating effect in construction dispute negotiation. Engineering, Construction and Architectural Management, 24(01), 133-53.
Semaan, N and Salem, M (2017) A deterministic contractor selection decision-support system for competitive bidding. Engineering, Construction and Architectural Management, 24(01), 61-77.
Shahtaheri, M, Haas, C T and Salimi, T (2017) A multi-dimensional joint confidence limit approach to mixed mode planning for round-the-clock projects. Engineering, Construction and Architectural Management, 24(01), 40-60.
- Type: Journal Article
- Keywords: uncertainty; risk; monte carlo simulation; joint confidence level; mixed mode planning; risk register
- ISBN/ISSN:
- URL: https://doi.org/10.1108/ECAM-10-2015-0165
- Abstract:
Purpose Good planning is key to good project performance. However, for the sub-class of round-the-clock projects requiring mixed mode planning a suitable planning approach does not exist. The purpose of this paper is to develop and validate such an approach. Design/methodology/approach Development of the approach builds on a synthesis and extensions of previous work related to projects with round-the-clock schedules, containing multiple workflows (sequential/cyclical). This approach considers the interdependence among shift-schedule, productivity, calendar duration, and risk registers. It quantifies the confidence in those strategies using a Monte Carlo and a multi-dimensional joint confidence limit (JCL) simulation platform. Findings n of workflows and their interdependencies. Also, the platform results show that the deviation between the deterministic outcomes and the simulated ones are a good indicator when dealing with projects with minimal tolerance for possible imposed mitigation strategies (e.g. round-the-clock projects). Research limitations/implications The validation of the approach is limited to a multi-billion dollar nuclear refurbishment case study and functional demonstration. The applicable class of projects is limited, and includes those for which failure of cost, schedule, or quality implies project failure. Originality/value It is anticipated that the proposed approach will assist with developing a realistic planning strategy by incorporating various factors and constraints under the impact of risks and uncertainty. This may lead to a more reliable determination of outcomes for round-the-clock projects.