Continuous improvement requires visualizing process constraints which interrupt workflows. Production control from a management perspective often operates at lower levels of information granularity than required at operational levels to perform work without interruptions. If not controlled in detail, causes and effects of workflow interruptions remain unclear in environments of high complexity and non-standardized work.Workflow efficiency has been studied through work sampling or time-motion studies, estimating shares of direct work. However, few studies exist that show how to create digital representations of workflows and analyse them for interruptions, contributing to smoother workflows. The paper examines workflows of plumbing work from video footage. This video data is classified and analysed for frequency, causes, and effects of work interruptions.Results indicate that value-supporting activities caused the largest proportion of interruptions. Moreover, the proportion of non-value-adding activities increases when durations of interruptions rise. Based on the results, the paper contributes to further understanding of workflow interruptions in plumbing work. Finally, it provides suggestions on how to close gaps of information granularity between management and operational levels, through the development of simulation models and the application of automated data collection, contributing to developing digital twins of construction processes.
The last planner system™ (LPS) is a production control method used in lean construction projects that has offered good results to construction companies in terms of improving labour productivity, increasing collaboration and the possibility for developing continuous learning. This short study contributes to LPS research on the reliability of promises and how parties perceive their effects on schedule and productivity. The study was conducted using a case study on an industrial construction project in which LPS had been in use since its start. Research data were collected using a semi-structured survey conducted online due to the pandemic. The study also utilized project progress data and measurement data from the LPS sessions. The most interesting result of the study was how little the LPS participants felt they had to compromise their goals. We also found how scheduling methods used in parallel with LPS can frustrate users and contribute to reducing its usefulness. Our findings can be used in further research in several ways, either by utilising the questionnaire we developed or by comparing our findings to other studies. We believe that practitioners using LPS will benefit from our results and can use them to address these shortcomings identified in future projects.
Over the past few decades, modular concrete construction emerged as a viable solution for meeting client requirements in getting an early return on investment, a high quality building, and an economically feasible construction. Precast concrete construction offers several green building benefits such as reducing construction wastes, minimizing site disturbances, and increasing flexibility. Although modular construction has been on the rise in Lebanon, many obstacles stand in the way of reaping more value for customers including technical, logistical, and organizational issues. This research aims at assessing the obstacles for efficient industrialized construction and exploring opportunities for improvement. The study reports results from industry-wide interviews covering all modular precast production companies, the major architects and design professionals, and class-A contracting companies. Findings of the study highlight that technical, logistical, and organizational/ cultural factors form the main obstacles, whereas cost, time, sustainability, and flexibility are the areas of opportunity for implementing efficient industrialized construction and increasing the uptake of precast concrete construction.
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.