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Abdul-Aziz, A-R (2012) Control mechanisms exercised in Malaysian housing public-private partnerships. Construction Management and Economics, 30(01), 37–55.
Almufarrej, A M and Erfani, T (2023) Climate, buildings’ envelope design and energy patterns: improving energy performance of new buildings in Kuwait. Engineering, Construction and Architectural Management, 30(01), 172-88.
Amadi, A (2023) Integration in a mixed-method case study of construction phenomena: from data to theory. Engineering, Construction and Architectural Management, 30(01), 210-37.
Cattell, D W (2012) An overview of component unit pricing theory. Construction Management and Economics, 30(01), 81–92.
Davey, C L, Powell, J A, Powell, J E and Cooper, I (2002) Action learning in a medium-sized construction company. Building Research & Information, 30(01), 5–15.
Dou, Y, Sun, X, Ji, A, Wang, Y and Xue, X (2023) Development strategy for prefabricated construction projects: a tripartite evolutionary game based on prospect theory. Engineering, Construction and Architectural Management, 30(01), 105-24.
Feng, K, Chen, S, Lu, W, Wang, S, Yang, B, Sun, C and Wang, Y (2023) Embedding ensemble learning into simulation-based optimisation: a learning-based optimisation approach for construction planning. Engineering, Construction and Architectural Management, 30(01), 259-95.
Gounder, S, Hasan, A, Shrestha, A and Elmualim, A (2023) Barriers to the use of sustainable materials in Australian building projects. Engineering, Construction and Architectural Management, 30(01), 189-209.
Gurung, N and Mahendran, M (2002) Comparative life cycle costs for new steel portal frame building systems. Building Research & Information, 30(01), 35–46.
Hosseinian, A H and Baradaran, V (2023) A two-phase approach for solving the multi-skill resource-constrained multi-project scheduling problem: a case study in construction industry. Engineering, Construction and Architectural Management, 30(01), 321-63.
- Type: Journal Article
- Keywords: control charts; game of life; multi-project scheduling; statistical process control; variable neighborhood search
- ISBN/ISSN:
- URL: https://doi.org/10.1108/ECAM-07-2019-0384
- Abstract:
Purpose: The purpose of this research is to study the Multi-Skill Resource-Constrained Multi-Project Scheduling Problem (MSRCMPSP), where (1) durations of activities depend on the familiarity levels of assigned workers, (2) more efficient workers demand higher per-day salaries, (3) projects have different due dates and (4) the budget of each period varies over time. The proposed model is bi-objective, and its objectives are minimization of completion times and costs of all projects, simultaneously. Design/methodology/approach: This paper proposes a two-phase approach based on the Statistical Process Control (SPC) to solve this problem. This approach aims to develop a control chart so as to monitor the performance of an optimizer during the optimization process. In the first phase, a multi-objective statistical model has been used to obtain control limits of this chart. To solve this model, a Multi-Objective Greedy Randomized Adaptive Search Procedure (MOGRASP) has been hired. In the second phase, the MSRCMPSP is solved via a New Version of the Multi-Objective Variable Neighborhood Search Algorithm (NV-MOVNS). In each iteration, the developed control chart monitors the performance of the NV-MOVNS to obtain proper solutions. When the control chart warns about an out-of control state, a new procedure based on the Conway’s Game of Life, which is a cellular automaton, is used to bring the algorithm back to the in-control state. Findings: The proposed two-phase approach has been used in solving several standard test problems available in the literature. The results are compared with the outputs of some other methods to assess the efficiency of this approach. Comparisons imply the high efficiency of the proposed approach in solving test problems with different sizes. Practical implications: The proposed model and approach have been used to schedule multiple projects of a construction company in Iran. The outputs show that both the model and the NV-MOVNS can be used in real-world multi-project scheduling problems. Originality/value: Due to the numerous numbers of studies reviewed in this research, the authors discovered that there are few researches on the multi-skill resource-constrained multi-project scheduling problem (MSRCMPSP) with the aforementioned characteristics. Moreover, none of the previous researches proposed an SPC-based solution approach for meta-heuristics in order to solve the MSRCMPSP.
Irfan, M, Khalid, R A, Kaka Khel, S S U H, Maqsoom, A and Sherani, I K (2023) Impact of work–life balance with the role of organizational support and job burnout on project performance. Engineering, Construction and Architectural Management, 30(01), 154-71.
Kus, H and Nygren, K (2002) Microenvironmental characterization of rendered autoclaved aerated concrete. Building Research & Information, 30(01), 25–34.
Lahdenperä, P (2012) Making sense of the multi-party contractual arrangements of project partnering, project alliancing and integrated project delivery. Construction Management and Economics, 30(01), 57–79.
Lee, J S (2023) Quantifying costs of the productivity loss due to schedule changes in construction projects. Engineering, Construction and Architectural Management, 30(01), 56-73.
Parchamijalal, M, Moradi, S and Zabihi Shirazi, M (2023) Claim management office maturity model (CMOMM) in project-oriented organizations in the construction industry. Engineering, Construction and Architectural Management, 30(01), 74-104.
Ruan, X, Ochieng, E G, Price, A D F and Egbu, C O (2012) Knowledge integration process in construction projects: a social network analysis approach to compare competitive and collaborative working. Construction Management and Economics, 30(01).
Salmaninezhad, M and Jazayeri Moghaddas, S M (2023) A multi-attribute approach to select the best method for repairing river bridge columns. Engineering, Construction and Architectural Management, 30(01), 1-18.
Sharifi, A A and Farahinia, A H (2023) A theoretical framework for developing the MAU model to determine the most appropriate use for historic buildings. Engineering, Construction and Architectural Management, 30(01), 238-58.
Shipworth, D T (2002) A stochastic framework for embodies greenhouse gas emissions modelling of construction materials. Building Research & Information, 30(01), 16–24.
Sorooshnia, E, Rashidi, M, Rahnamayiezekavat, P, Rezaei, F and Samali, B (2023) Optimum external shading system for counterbalancing glare probability and daylight illuminance in Sydney's residential buildings. Engineering, Construction and Architectural Management, 30(01), 296-320.
Tabish, S Z S and Jha, K N (2012) The impact of anti-corruption strategies on corruption free performance in public construction projects. Construction Management and Economics, 30(01), 21–35.
Tian, B, Wang, Z, Li, C and Fu, J (2023) Can relational governance improve sustainability in public-private partnership infrastructure projects? An empirical study based on structural equation modeling. Engineering, Construction and Architectural Management, 30(01), 19-40.
Xu, Y, Chong, H Y and Chi, M (2023) Modelling the blockchain adoption barriers in the AEC industry. Engineering, Construction and Architectural Management, 30(01), 125-53.
Yılmaz, F (2023) Analysis of the interaction between safety measures and workers' safety awareness from the construction workers' perspective. Engineering, Construction and Architectural Management, 30(01), 41-55.