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040 _aMMSU
_cULS
100 _aMalabed, Mark Robin F...et.al.
245 _aDevelopment of construction equipment management guide in Ilocos Norte /
_cMark Robin F. Malabed, Dawn Rochelle M. Santos, Andrew P. Sugui, Jhen Marielle M. Valencia, Marielle Kaye A. Yadao
260 _aCity of Batac :
_bMMSU,
_c2024.
300 _axix, 134 leaves :
_c28 cm.
500 _aUTHESIS (Bachelor of Science in Civil Engineering)
504 _aBibliography: leaves 41-42
520 _a The study developed a construction equipment management guide to be used by the 34 Philippine Contractors Accreditation Board (PCAB) Licensed construction firms located in Ilocos Norte belonging in the categories AAA,AA,A,B, and C based on the results of the survey among construction firms, the usage, brand, purchase date, and its effects on the breakdown frequency. Utilizing a descriptive research approach and a comprehensive survey questionnaire, data were collected, analyzed, and interpreted using frequency counts and chi-squared test. Results reveal that construction firms’ utilization patterns of most equipment is daily. The study also shows a clear preference of construction firms for purchasing brand new equipment over second-hand alternatives, driven by perceived reliability and longevity Aging equipment and wear and tear account for nearly half of all incidents, emphasizing the need for equipment modernization and proactive maintenance practices. The study suggests that comprehensive maintenance schedules and quality assurance systems can significantly enhance equipment performance and project efficiency. Aconstruction equipment management guide based on the results of the study was designed to provide strategies to reduce breakdowns and improve the productivity of the equipment. The researchers also developed a user-friendly application for easy access of the guide. The findings of this study can be utilized by construction firms, equipment manufacturers, and other stakeholders to advance the field and improve equipment longevity and operational efficiency. ii Recommendations include broadening the sample size to PCAB classification AAAto E and considering data from both the public and private sectors to generalize results.
942 _2lcc
_cTHEDIS
999 _c23433
_d23433