Robotics and automated systems in construction: Understanding industry-specific challenges for adoption

Juan Manuel Dávila Delgado, Lukumon O. Oyedele, Anuoluwapo Ajayi, Lukman Akanbi, Olúgbénga O. Akinadé, Muhammad Bilal, Hakeem A. Owolabi

Journal of Building Engineering · 2019 · 555 citations · 55 references

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TL;DR

The construction sector suffers from inefficiencies and low productivity, and although robotics and automation could improve performance, adoption remains very low. This study investigates the industry‑specific factors that constrain the adoption of robotics and automated systems in construction to aid stakeholders in developing mitigation strategies. Using a mixed‑methods approach, the authors conducted a literature review, focus groups with 28 experts, an online questionnaire, and performed principal component and correlation analyses to identify and group the limiting factors. Four key categories of barriers—contractor‑side economic, client‑side economic, technical and work‑culture, and weak business case—were identified and ranked, with no strong inter‑factor correlations, providing a basis for stakeholders to devise targeted solutions.

Abstract

The construction industry is a major economic sector, but it is plagued with inefficiencies and low productivity. Robotics and automated systems have the potential to address these shortcomings; however, the level of adoption in the construction industry is very low. This paper presents an investigation into the industry-specific factors that limit the adoption in the construction industry. A mixed research method was employed combining literature review, qualitative and quantitative data collection and analysis. Three focus groups with 28 experts and an online questionnaire were conducted. Principal component and correlation analyses were conducted to group the identified factors and find hidden correlations. The main identified challenges were grouped into four categories and ranked in order of importance: contractor-side economic factors, client-side economic factors, technical and work-culture factors, and weak business case factors. No strong correlation was found among factors. This study will help stakeholders to understand the main industry-specific factors limiting the adoption of robotics and automated systems in the construction industry. The presented findings will support stakeholders to devise mitigation strategies.

References

55