Optimization of Job Shop Scheduling and Monitoring in the Construction Industry Using Particle Swarm Optimization (PSO) /
Altillero, John Lennard M.
Optimization of Job Shop Scheduling and Monitoring in the Construction Industry Using Particle Swarm Optimization (PSO) / John Lennard M. Altillero, Princess Nicole L. De Guzman, Grant Angelo P. Jose, Elma B. Justo. - ix, 78 pages : illustrations ; 29 cm. + 1 CD-ROM (4 3/4 in.)
Thesis (Undergraduate)
College of Science --
Includes bibliographical references.
"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
BTH QA 76 / A48 2024
Optimization of Job Shop Scheduling and Monitoring in the Construction Industry Using Particle Swarm Optimization (PSO) / John Lennard M. Altillero, Princess Nicole L. De Guzman, Grant Angelo P. Jose, Elma B. Justo. - ix, 78 pages : illustrations ; 29 cm. + 1 CD-ROM (4 3/4 in.)
Thesis (Undergraduate)
College of Science --
Includes bibliographical references.
"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
BTH QA 76 / A48 2024