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Productivity assessment of assembly robots for prefabricated construction: trends and performance factors

Annabel Morkporkpor Ami Dompey et al.

Construction Innovation2026https://doi.org/10.1108/ci-06-2025-0264article
ABDC B
Weight
0.50

Abstract

Purpose Prefabricated construction is a transformative approach to reshaping the construction industry, enhancing productivity and efficiency. The use of robotics has emerged as a critical tool in advancing this practice; therefore, assessing its productivity has become prudent. This study aims to examine the productivity landscape of assembly robots, aiming to provide a comprehensive classification of their types, identify the key elements of their cycle time and determine the factors that influence their overall productivity. Design/methodology/approach A scientometric analysis and systematic literature review were used to reveal the research trend and provide in-depth insights into the subject matter. A total of 72 papers selected using the PRISMA guidelines underpinned the results of this study. Findings The results revealed four predominant types of assembly robots; each uniquely suited to specific tasks. Transport, alignment, installation and return were recognised as significant cycle time elements, with additional tasks varying according to robot function. The productivity of robots for assembly was found to be influenced by robot design and operation, planning and management strategies, as well as communication and feedback systems. Originality/value With the growing age of digitalisation and improved construction practices, this study uniquely offers insights for optimising the deployment of semi-autonomous assembly robots in prefabricated construction and identifies avenues for future research.

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https://doi.org/https://doi.org/10.1108/ci-06-2025-0264

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@article{annabel2026,
  title        = {{Productivity assessment of assembly robots for prefabricated construction: trends and performance factors}},
  author       = {Annabel Morkporkpor Ami Dompey et al.},
  journal      = {Construction Innovation},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1108/ci-06-2025-0264},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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