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Aladağ, H and Işık, Z (2019) Design and construction risks in BOT type mega transportation projects. Engineering, Construction and Architectural Management, 26(10), 2223–42.

Almarri, K, Aljarman, M and Boussabaine, H (2019) Emerging contractual and legal risks from the application of building information modelling. Engineering, Construction and Architectural Management, 26(10), 2307–25.

Cajzek, R and KlanÅ¡ek, U (2019) Cost optimization of project schedules under constrained resources and alternative production processes by mixed-integer nonlinear programming. Engineering, Construction and Architectural Management, 26(10), 2474–508.

  • Type: Journal Article
  • Keywords: Optimization; Process; Scheduling; Project management; Construction planning; Novel model;
  • ISBN/ISSN: 0969-9988
  • URL: https://doi.org/10.1108/ECAM-01-2019-0013
  • Abstract:
    The purpose of this paper is cost optimization of project schedules under constrained resources and alternative production processes (APPs). Design/methodology/approach The model contains a cost objective function, generalized precedence relationship constraints, activity duration and start time constraints, lag/lead time constraints, execution mode (EM) constraints, project duration constraints, working time unit assignment constraints and resource constraints. The mixed-integer nonlinear programming (MINLP) superstructure of discrete solutions covers time–cost–resource options related to various EMs for project activities as well as variants for production process implementation. Findings The proposed model provides the exact optimal output data for project management, such as network diagrams, Gantt charts, histograms and S-curves. In contrast to classic scheduling approaches, here the optimal project structure is obtained as a model-endogenous decision. The project planner is thus enabled to achieve optimization of the production process simultaneously with resource-constrained scheduling of activities in discrete time units and at a minimum total cost. Practical implications A set of application examples are addressed on an actual construction project to display the advantages of proposed model. Originality/value The unique value this paper contributes to the body of knowledge reflects through the proposed MINLP model, which is capable of performing the exact cost optimization of production process (where presence and number of activities including their mutual relations are dealt as feasible alternatives, meaning not as fixed parameters) simultaneously with the associated resource-constrained project scheduling, whereby that is achieved within a uniform procedure.

Derakhshanfar, H, Ochoa, J J, Kirytopoulos, K, Mayer, W and Tam, V W (2019) Construction delay risk taxonomy, associations and regional contexts. Engineering, Construction and Architectural Management, 26(10), 2364–88.

Fang, Y and Ng, S T (2019) Genetic algorithm for determining the construction logistics of precast components. Engineering, Construction and Architectural Management, 26(10), 2289–306.

Jin, H, Liu, S, Liu, C and Udawatta, N (2019) Optimizing the concession period of PPP projects for fair allocation of financial risk. Engineering, Construction and Architectural Management, 26(10), 2347–63.

Kumar Singla, H (2019) A comparative analysis of long-term performance of construction and non-construction IPOs in India. Engineering, Construction and Architectural Management, 26(10), 2447–73.

Kunieda, Y, Codinhoto, R and Emmitt, S (2019) Increasing the efficiency and efficacy of demolition through computerised 4D simulation. Engineering, Construction and Architectural Management, 26(10), 2186–205.

Kwofie, T E, Aigbavboa, C O and Machethe, S O (2019) Nature of communication performance in non-traditional procurements in South Africa. Engineering, Construction and Architectural Management, 26(10), 2264–88.

Lau, C H, Mesthrige, J W, Lam, P T and Javed, A A (2019) The challenges of adopting new engineering contract: a Hong Kong study. Engineering, Construction and Architectural Management, 26(10), 2389–409.

Loosemore, M, Sunindijo, R Y, Lestari, F, Kusminanti, Y and Widanarko, B (2019) Comparing the safety climate of the Indonesian and Australian construction industries. Engineering, Construction and Architectural Management, 26(10), 2206–22.

Oyewobi, L O, Oke, A E, Adeneye, T D and Jimoh, R A (2019) Influence of organizational commitment on work–life balance and organizational performance of female construction professionals. Engineering, Construction and Architectural Management, 26(10), 2243–63.

Qayoom, A and H.W. Hadikusumo, B (2019) Multilevel safety culture affecting organization safety performance: a system dynamic approach. Engineering, Construction and Architectural Management, 26(10), 2326–46.

Sinesilassie, E G, Tripathi, K K, Tabish, S Z S and Jha, K N (2019) Modeling success factors for public construction projects with the SEM approach: engineer’s perspective. Engineering, Construction and Architectural Management, 26(10), 2410–31.

Whang, S, Park, K S and Kim, S (2019) Critical success factors for implementing integrated construction project delivery. Engineering, Construction and Architectural Management, 26(10), 2432–46.

Xiong, B, Newton, S, Li, V, Skitmore, M and Xia, B (2019) Hybrid approach to reducing estimating overfitting and collinearity. Engineering, Construction and Architectural Management, 26(10), 2170–85.