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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.

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.

  • Type: Journal Article
  • Keywords: Project management; Optimization; Process; Case study; Productivity;
  • ISBN/ISSN: 0969-9988
  • URL: https://doi.org/10.1108/ECAM-10-2018-0455
  • Abstract:
    The purpose of this paper is to investigate the process optimization of a precast concrete component production line by using value stream mapping. Design/methodology/approach This paper is an empirical focused on of lean production theory and value stream mapping. The data in the case study were collected in real time on-site for each process during the production process of a prefabricated exterior wall. Findings The results of the current value stream map indicate that the main problems of the current production process are related to equipment, technology and organization. The equipment problems include simple demolding and cleaning tools and the lack of professional transfer channels. The technology problems include the lack of a marking mechanism and pipeline exit mechanism. There is a lack of standard operating procedures and incomplete process convergence. A comparison and analysis of the current value stream and the future value flow indicate that optimizations of the process flow, the production line layout, and the standard operating procedures have shortened the delivery cycle, reduced the number of workers, improved the operator’s operating level and balanced the production line. Practical implications The results of this study provide practitioners with a clear understanding of the optimization of the precast concrete component production and represent a method and basis for the process optimization of a factory production line; the approach is suitable for process optimization in other areas. Originality/value This research represents an innovative application of lean production theory and value stream mapping in a complex production line of precast concrete components and thereby fills the gap between the theory and practice of the optimization of a precast concrete component production line.