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Afzal, F, Yunfei, S, Sajid, M and Afzal, F (2019) Integrated priority decision index for risk assessment in chaos: cost overruns in transport projects. Engineering, Construction and Architectural Management, 27(04), 825–49.

Bonanomi, M M, Hall, D M, Staub-French, S, Tucker, A and Talamo, C M L (2019) The impact of digital transformation on formal and informal organizational structures of large architecture and engineering firms. Engineering, Construction and Architectural Management, 27(04), 872–92.

Cole, R J (1999) Building environmental assessment methods: clarifying intentions. Building Research & Information, 27(04), 230–46.

Cole, R J (1999) Postscript: Green Building Challenge 2000. Building Research & Information, 27(04), 342–3.

Cole, R J and Larsson, N K (1999) GBC '98 and GBTool: background. Building Research & Information, 27(04), 221–9.

Cole, R J and Mitchell, L (1999) Customizing and using GBTool: two case-study projects. Building Research & Information, 27(04), 257–76.

Comet, C (2009) Social capital and profits of small firms in the French construction industry. Construction Management and Economics, 27(04), 411–8.

El-Sayegh, S M (2009) Multi-criteria decision support model for selecting the appropriate construction management at risk firm. Construction Management and Economics, 27(04), 385–98.

Feghaly, J, El Asmar, M, Ariaratnam, S and Bearup, W (2019) Selecting project delivery methods for water treatment plants. Engineering, Construction and Architectural Management, 27(04), 936–51.

Glaumann, M, Malm, T and Larsson, J (1999) Evaluation of green buildings in Sweden. Building Research & Information, 27(04), 276–85.

Kannimuthu, M, Raphael, B, Ekambaram, P and Kuppuswamy, A (2019) Comparing optimization modeling approaches for the multi-mode resource-constrained multi-project scheduling problem. Engineering, Construction and Architectural Management, 27(04), 893–916.

  • Type: Journal Article
  • Keywords: Optimization; Scheduling; Project management; Decision support systems; Construction planning;
  • ISBN/ISSN: 0969-9988
  • URL: https://doi.org/10.1108/ECAM-03-2019-0156
  • Abstract:
    Construction firms keep minimal resources to maintain productive working capital. Hence, resources are constrained and have to be shared among multiple projects in an organization. Optimal allocation of resources is a key challenge in such situations. Several approaches and heuristics have been proposed for this task. The purpose of this paper is to compare two approaches for multi-mode resource-constrained project scheduling in a multi-project environment. These are the single-project approach (portfolio optimization) and the multi-project approach (each project is optimized individually, and then heuristic rules are used to satisfy the portfolio constraint). Design/methodology/approach A direct search algorithm called Probabilistic Global Search Lausanne is used for schedule optimization. Multiple solutions are generated that achieve different trade-offs among the three criteria, namely, time, cost and quality. Good compromise solutions among these are identified using a multi-criteria decision making method, Relaxed Restricted Pareto Version 4. The solutions obtained using the single-project and multi-project approaches are compared in order to evaluate their advantages and disadvantages. Data from two sources are used for the evaluation: modified multi-mode resource-constrained project scheduling problem data sets from the project scheduling problem library (PSPLIB) and three real case study projects in India. Findings Computational results prove the superiority of the single-project approach over heuristic priority rules (multi-project approach). The single-project approach identifies better solutions compared to the multi-project approach. However, the multi-project approach involves fewer optimization variables and is faster in execution. Research limitations/implications It is feasible to adopt the single-project approach in practice; realistic resource constraints can be incorporated in a multi-objective optimization formulation; and good compromise solutions that achieve acceptable trade-offs among the conflicting objectives can be identified. Originality/value An integer programming model was developed in this research to optimize the multiple objectives in a multi-project environment considering explicit resource constraints and maximum daily costs constraints. This model was used to compare the performance of the two multi-project environment approaches. Unlike existing work in this area, the model used to predict the quality of activity execution modes is based on data collected from real construction projects.

Li, H, Lu, W and Huang, T (2009) Rethinking project management and exploring virtual design and construction as a potential solution. Construction Management and Economics, 27(04), 363–71.

Lingard, H C, Cooke, T and Blismas, N (2009) Group-level safety climate in the Australian construction industry: within-group homogeneity and between-group differences in road construction and maintenance. Construction Management and Economics, 27(04), 419–32.

Liu, J and Cheah, C Y J (2009) Real option application in PPP/PFI project negotiation. Construction Management and Economics, 27(04), 331–42.

Luo, M, Fan, H and Liu, G (2019) Measuring regional differences of construction productive efficiency in China. Engineering, Construction and Architectural Management, 27(04), 952–74.

Ma, H, Liu, Z, Zeng, S, Lin, H and Tam, V W (2019) Does megaproject social responsibility improve the sustainability of the construction industry?. Engineering, Construction and Architectural Management, 27(04), 975–96.

Manoliadis, O G, Pantouvakis, J-P and Christodoulou, S E (2009) Improving qualifications-based selection by use of the fuzzy Delphi method. Construction Management and Economics, 27(04), 373–84.

Rees, W E (1999) The built environment and the ecosphere: a global perspective. Building Research & Information, 27(04), 206–20.

Smyth, H and Fitch, T (2009) Application of relationship marketing and management: a large contractor case study. Construction Management and Economics, 27(04), 399–410.

Todd, J A and Geissler, S (1999) Regional and cultural issues in environmental performance assessment for buildings. Building Research & Information, 27(04), 247–56.

Tone, K, Skitmore, M and Wong, J K W (2009) An investigation of the impact of cross-cultural communication on the management of construction projects in Samoa. Construction Management and Economics, 27(04), 343–61.

Viles, E, Rudeli, N C and Santilli, A (2019) Causes of delay in construction projects: a quantitative analysis. Engineering, Construction and Architectural Management, 27(04), 917–35.

Wang, S, Tang, J, Zou, Y and Zhou, Q (2019) Research on production process optimization of precast concrete component factory based on value stream mapping. Engineering, Construction and Architectural Management, 27(04), 850–71.