The aim of this quantitative study was to evaluate the performance of an Arduino-controlled wood scaling machine, designed to improve the cutting process for woodwork and furniture production. The machine was developed with the goal of achieving accuracy, precision, and consistency in wood cutting, while also reducing the need for time-consuming grinding and polishing. The wood cutter machine was composed of a circular saw, relay, conveyor, and control module, with the added feature of an Arduino for automated scaling. The study found that the machine's performance was more reliable, effective, and safer than other wood cutting machines, and its use could lead to faster, better, and more accurate cuts. The wood scale cutter machine was also designed to be more affordable while maintaining a standard quality that would ensure its longevity for years. The results of this study offer an innovative and improved wood cutting tool that could compete in the market and benefit workers by reducing working time and increasing productivity.
This study aims to assess waste in the Electro-mechanical Department of the University of Science and Technology of Southern Philippines (USTP) based on lean principles and their impact on sustainability efforts. The study uses a case study approach, categorizing waste into eight categories and creating a risk ranking using the FMEA technique. Data collection for the risk ranking was not possible due to scheduling constraints. The literature review discusses the implementation of lean principles in higher education institutions (HEIs), waste modes in HEIs, and the potential benefits and challenges of implementing lean principles in HEIs. The study findings indicate that waste modes such as defects, overproduction, waiting, non-utilized talent, extra transportation, excess inventory, extra motion, and extra processing exist in the USTP Electro-mechanical Department. The implementation of lean principles has the potential to reduce these waste modes and improve the overall sustainability of the department. However, successful implementation requires collaboration among multiple stakeholders and adequate resources. Further research is needed to identify best practices for implementing lean principles in HEIs.
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.