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.

By:

Altillero, John Lennard M

Contributor(s):

Material type: Text

TextManila : Technological University of the Philippines, 2024Description: ix, 78 pages : illustrations ; 29 cm. + 1 CD-ROM (4 3/4 in.)Content type:

text

Media type:

unmediated

Carrier type:

volume

LOC classification:

BTH QA 76 A48 2024

Dissertation note: College of Science -- Bachelor of Science in Computer Science, Technological University of the Philippines, 2024. Abstract: "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

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Holdings
Item type	Current library	Shelving location	Call number	Status	Notes	Date due	Barcode
Bachelor's Thesis COS	TUP Manila Library	Thesis Section-2nd floor	BTH QA 76 A48 2024 (Browse shelf(Opens below))	Not for loan	For Room Use Only		BTH0004924

Thesis (Undergraduate)

College of Science --
Bachelor of Science in Computer Science, Technological University of the Philippines, 2024.

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

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