000			02233nam a22002897a 4500
003			OSt
005			20240819100021.0
008			240819s2024 |||||||| abm| 00| 0 eng d
040			_aTUPM _beng _cTUPM _erda
050			_aBTH QA 76 _bA48 2024
100			_aAltillero, John Lennard M.
245			_aOptimization of Job Shop Scheduling and Monitoring in the Construction Industry Using Particle Swarm Optimization (PSO) / _cJohn Lennard M. Altillero, Princess Nicole L. De Guzman, Grant Angelo P. Jose, Elma B. Justo.
264			_aManila : _bTechnological University of the Philippines, _c2024.
300			_aix, 78 pages : _billustrations ; _c29 cm. + _e1 CD-ROM (4 3/4 in.)
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
500			_aThesis (Undergraduate)
502			_aCollege of Science -- _bBachelor of Science in Computer Science, _cTechnological University of the Philippines, _d2024.
504			_aIncludes bibliographical references.
520	3		_a"For the construction industry, job shop scheduling is essential because it guarantees effective resource management, timely project completion, cost containment, and overall project success. In the construction sector, managing risks, satisfying customer expectations, and preserving a competitive advantage are essential. The system developed is the application of Particle Swarm Optimization (PSO) to optimize job shop scheduling and monitoring in the construction industry. The effectiveness of the proposed PSO-based approach was evaluated through a user study involving a diverse group of participants, including 10 IT/CS students, 10 IT/CS professionals, 5 engineers, and 5 architects. The user evaluation method adhered to the ISO 25010 standard, which emphasized usability and satisfaction in software development. The results indicated that the proposed method was rated as "Very Acceptable" by the user participants, suggesting its potential for practical application in construction project scheduling." -- Author's Abstract
700			_aDe Guzman, Princess Nicole L.
700			_aJose, Grant Angelo P.
700			_aJusto, Elma A.
942			_2lcc _cBTH COS _n0
999			_c28881 _d28881