In recent decades, design and construction have had to specialize, which has gradually fragmented the industry. This scenario is relevant in hospital projects, where a large number of specialties interact, especially when the operation of the center must be guaranteed. For this reason, it is essential to reduce the communication time between workers and decision-makers to respond quickly to unexpected problems. The purpose of this article is to describe the use of Visual Management using Building Information Modeling (BIM) to deliver task instructions in the field. A case study of a Chilean healthcare center is described, whereby through the active participation of the consulting team, the use of BIM-based sheets as visual instructions was gradually implemented, taking as input the BIM product and process models. The most relevant results were the fulfillment of the initially estimated deadlines without the delays that historically occurred in these types of projects and the reduction of response times for requests for information. It can be concluded that the use of these BIM-based sheets directly addresses the root causes of information management problems in construction and that it is essential to use technology within a Lean collaborative methodology.
One of the main challenges that developing countries face is the need to increase productivity. In Chile, the most important productivity gap in both mining and construction industries is the lack of operational efficiency, caused mainly by the low adoption of advance management methods. Hence, considering the need to increase productivity through operational efficiency, lean production emerges as a management system with the objective to create value while eliminating waste, and continuously seek operational excellence. This research evaluates the impacts of the implementation of lean methods in an underground mining development project in the execution phase, which will help to better understand to what extent these methodologies can affect the performance of this type of projects. This research indicates that the implementation of lean methods in an underground mining development project had a statistical significant improvement of the mean for all indicators studied. Likewise, the implementation produced a statistically significant reduction of the variability for some indicators; moreover, there is a considerable reduction in the coefficient of variation (CV), which indicates more stable processes. In addition, this research demonstrates that there is a statistically significant correlation between the percent of plan completed and its coefficient of variation.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.