{"title":"A Balanced Scorecard for Assessing Automation in Construction","authors":"I. Agustí-Juan, J. Glass, Vijay Pawar","doi":"10.3311/ccc2019-023","DOIUrl":null,"url":null,"abstract":"Despite the economic importance of the construction industry worldwide, it suffers from low productivity compared to other sectors, \ndue to weak industrialisation, fragmented supply chain and poor collaboration. Recent national initiatives are promoting the \nadoption of information and automation technologies to increase efficiency, quality, safety, and reduce costs in construction. \nEmerging technologies will also provide highly integrated, connected and scalable new methods of construction. Nevertheless, the \nbenefits and risks of automation in construction remain largely unknown due to the lack of standards and management tools to \nassess them from a holistic perspective. \nThe aim of this research is to develop a Balanced Scorecard (BSC) as an evaluation framework for automation in construction. A \nBSC is a strategic management system that links performance measurement to business strategy using a holistic set of performance \nassessment criteria. BSCs expand evaluation beyond financial criteria to include environmental and social considerations. The \nproposed BSC under development in this research uses a hierarchic system of multidimensional indicators (e.g. resource \nconsumption, GHG emissions, costs, productivity, etc.) relevant to automation in construction, at operational, organisational and \nsocietal levels. The validity, priority and accessibility of the indicators were explored via a workshop with 20 participants from the \nconstruction industry. The workshop outcomes provided a means to focus attention on relevant key performance indicators (KPIs) \nfor decision-making regarding construction processes. Based on the outcomes of this study, the final BSC will help construction \norganisations to achieve their sustainability goals and address low productivity, because automation solutions can be seen through \na holistic, and pragmatic lens, thus are more likely to be included in, and contribute to, construction operations in the future.","PeriodicalId":231420,"journal":{"name":"Proceedings of the Creative Construction Conference 2019","volume":"105 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Creative Construction Conference 2019","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3311/ccc2019-023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Despite the economic importance of the construction industry worldwide, it suffers from low productivity compared to other sectors,
due to weak industrialisation, fragmented supply chain and poor collaboration. Recent national initiatives are promoting the
adoption of information and automation technologies to increase efficiency, quality, safety, and reduce costs in construction.
Emerging technologies will also provide highly integrated, connected and scalable new methods of construction. Nevertheless, the
benefits and risks of automation in construction remain largely unknown due to the lack of standards and management tools to
assess them from a holistic perspective.
The aim of this research is to develop a Balanced Scorecard (BSC) as an evaluation framework for automation in construction. A
BSC is a strategic management system that links performance measurement to business strategy using a holistic set of performance
assessment criteria. BSCs expand evaluation beyond financial criteria to include environmental and social considerations. The
proposed BSC under development in this research uses a hierarchic system of multidimensional indicators (e.g. resource
consumption, GHG emissions, costs, productivity, etc.) relevant to automation in construction, at operational, organisational and
societal levels. The validity, priority and accessibility of the indicators were explored via a workshop with 20 participants from the
construction industry. The workshop outcomes provided a means to focus attention on relevant key performance indicators (KPIs)
for decision-making regarding construction processes. Based on the outcomes of this study, the final BSC will help construction
organisations to achieve their sustainability goals and address low productivity, because automation solutions can be seen through
a holistic, and pragmatic lens, thus are more likely to be included in, and contribute to, construction operations in the future.