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Burke, R D, Parrish, K and El Asmar, M (2018) Environmental Product Declarations: Use in the Architectural and Engineering Design Process to Support Sustainable Construction. Journal of Construction Engineering and Management, 144(05).
Delgado, L, Shealy, T, Garvin, M and Pearce, A (2018) Framing Energy Efficiency with Payback Period: Empirical Study to Increase Energy Consideration during Facility Procurement Processes. Journal of Construction Engineering and Management, 144(05).
Doloi, H (2018) Community-Centric Model for Evaluating Social Value in Projects. Journal of Construction Engineering and Management, 144(05).
El-Sabek, L M and McCabe, B Y (2018) Framework for Managing Integration Challenges of Last Planner System in IMPs. Journal of Construction Engineering and Management, 144(05).
Farshchian, M M and Heravi, G (2018) Probabilistic Assessment of Cost, Time, and Revenue in a Portfolio of Projects Using Stochastic Agent-Based Simulation. Journal of Construction Engineering and Management, 144(05).
Liang, Q, Leung, M and Cooper, C (2018) Focus Group Study to Explore Critical Factors for Managing Stress of Construction Workers. Journal of Construction Engineering and Management, 144(05).
Lines, B C and Ravi Kumar, G G (2018) Developing More Competitive Proposals: Relationship between Contractor Qualifications-Based Proposal Content and Owner Evaluation Scores. Journal of Construction Engineering and Management, 144(05).
Mahpour, A and Mortaheb, M M (2018) Financial-Based Incentive Plan to Reduce Construction Waste. Journal of Construction Engineering and Management, 144(05).
Nguyen, D A, Garvin, M J and Gonzalez, E E (2018) Risk Allocation in U.S. Public-Private Partnership Highway Project Contracts. Journal of Construction Engineering and Management, 144(05).
Rocha, C G d, Anzanello, M J and Gerchman, M (2018) Method to Assess the Match between Clients’ Input and Decoupling Points in Customized Building Projects. Journal of Construction Engineering and Management, 144(05).
- Type: Journal Article
- Keywords: Line of balance; Customization; House building; Simulation; Flow;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001453
- Abstract:
Clients’ input (i.e., design drawings and specifications containing clients’ desired changes) is a key resource for task completion often missing in customized building projects, leading to waste such as additional movement, increase in work in progress, rework, stoppages, and delays. Such waste can be potentially reduced by postponing the moment in which such input is first needed [i.e., the decoupling point (DP)]. This paper proposes a simulation-based method to quantify the probability of having clients’ input according to production plans using the line-of-balance technique. The method is applied to two sets of plans to assess the effect of four variables (cycle time, batch size, work structure, and construction start time) on such probabilities. Work structure and construction start time were found to be the main variables affecting such probabilities. Nonetheless, preliminary results (considering a uniform probability distribution for clients’ input) indicate a minimal probability of having clients’ input according to production plans even for the most favorable plan (late construction start, DP in the last work package, short cycle time, and large batch size). This means that altering these variables is not sufficient to ensure the availability of clients’ input and other approaches are needed to support a good flow.
Schuldt, S and El-Rayes, K (2018) Optimizing the Planning of Remote Construction Sites to Minimize Facility Destruction from Explosive Attacks. Journal of Construction Engineering and Management, 144(05).
Tembo-Silungwe, C K and Khatleli, N (2018) Identification of Enablers and Constraints of Risk Allocation Using Structuration Theory in the Construction Industry. Journal of Construction Engineering and Management, 144(05).
Yap, J B H, Abdul-Rahman, H and Wang, C (2018) Preventive Mitigation of Overruns with Project Communication Management and Continuous Learning: PLS-SEM Approach. Journal of Construction Engineering and Management, 144(05).
Zhang, M, Cheng, W and Wang, Y (2018) Multiple-Fault Classification for Hot-Mix Asphalt Production by Machine Learning. Journal of Construction Engineering and Management, 144(05).