A process to assist technology investment decisions in construction - a case study on labour productivity

[摘要] ENGLISH ABSTRACT: Worldwide the civil construction industry is one of the biggest and most influential industries but has proven to be lacking in the development of technology-aided construction. In contrast, the automotive manufacturing industry is very reliant on the use of highly advanced technology. Literature showed that specific focus is being put on increased technology investments and development of infrastructure in South Africa in order to solve various problems in the country.In light of these realisations, the objective of this research study was to establish a process that can be used to assist technological investments that solve areas of concern in the construction industry.The research was conducted by following a procedure of identifying problematic areas in construction, scrutinising the biggest problem to identify its key elements and finally selecting a decision support model to select technological solutions. The research sequence therefore established the steps of a process that can assist technological investment decisions that solve areas of concern in the construction industry.The first step of this process necessitated the identification of the most influential area of concern in South African construction. A series of interviews and surveys with experienced senior managers in different divisions of the South African civil construction industry showed that the low productivity of labourers is the most influential area of concern in terms of impact on construction projects. Consequently, labour productivity was scrutinised as part of the second step of the process. It was found that there are different methods to measure productivity and that factors influencing labour productivity can be grouped into managerial practices, labour effectiveness and material timeliness. The scrutiny, together with the productivity improvement system and lessons learned from other industries, gave input to the third step of the process, viz. to identify technological solution alternatives for the area of concern. Wireless technology and visual analysis were identified as two groups of technology that could improve labour productivity. The final step of the process evaluated the effects the different solution alternatives could have on a company and a tailored set of criteria together with a fuzzy multi-criteria decision model was proposed for use in this step.The research study identified that there are generic areas of concern in construction and that technology can be used to improve problem solving processes in companies. Furthermore, a generic and flexible four step process was formulated that can incorporate multiple criteria, stakeholders' opinions, business strategy and the necessary benefits the problem requires in one evaluation model. This process was found to be able to assist technological investment decisions in the construction industry specifically to eliminate or improve on existing areas of concern.

[发布机构] Stellenbosch University