Teaching learning-based optimization for cost-oriented hybrid flow shop scheduling / (Record no. 103816)

MARC details
000 -LEADER
fixed length control field 03561nam a2200337 i 4500
003 - CONTROL NUMBER IDENTIFIER
control field MY-KuUP
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251231121019.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field t||||fr|||| 000 0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field ta
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 251231t20252025my a|||fr|||| 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number THE0010197 (Local)
Qualifying information Hardback
040 ## - CATALOGING SOURCE
Original cataloging agency UMPSA
Language of cataloging eng
Transcribing agency UMPSA
Description conventions rda
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) FTKPM .W37 2025 r Thesis
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Wasif Ullah,
Relator term author.
245 10 - TITLE STATEMENT
Title Teaching learning-based optimization for cost-oriented hybrid flow shop scheduling /
Statement of responsibility, etc. Wasif Ullah
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Kuantan, Pahang :
Name of producer, publisher, distributor, manufacturer UMPSA,
Date of production, publication, distribution, manufacture, or copyright notice 2025
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Date of production, publication, distribution, manufacture, or copyright notice © 2025
300 ## - PHYSICAL DESCRIPTION
Extent xii, 125 pages :
Other physical details illustrations (some color) ;
Dimensions 30 cm. +
Accompanying material 1 CD-COM
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type term volume
347 ## - DIGITAL FILE CHARACTERISTICS
Source rda
File type text file
Encoding format PDF
500 ## - GENERAL NOTE
General note Faculty of Manufacturing and Mechatronic Engineering Technology
502 ## - DISSERTATION NOTE
Dissertation note Thesis (Master of Science) -- Universiti Malaysia Pahang – 2025
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references
520 3# - SUMMARY, ETC.
Summary, etc. Production scheduling is a strategic process of organizing the execution of jobs on available resources to optimize certain optimization objectives. One of the important scheduling problem is the cost-oriented hybrid flow shop (CHFS) scheduling problem, which involves optimizing the scheduling of jobs across multiple stages to minimize the scheduling-related costs. Despite the significance of cost optimization in CHFS scheduling, there is a lack of comprehensive studies that address all major cost components using efficient optimization algorithms. For this purpose, a comprehensive cost model was developed that includes four cost elements: labor costs, machine energy consumption costs, preventive maintenance costs, and late penalty costs. Then a Greedy-assisted Teaching Learning-Based Optimization (GTLBO) algorithm was proposed to optimize the developed CHFS model. In GTLBO algorithm the initialization process was hybridized with Greedy algorithm, where 10% of initial population was generated by Greedy algorithm, while 90% randomly generated as usual. Afterward, a computational experiment was conducted to evaluate the performance of GTLBO algorithm by choosing certain comparative algorithms. The experiment utilized a dataset of 12 benchmark test problems defined by Carlier and Neron and was conducted using MATLAB version 2022b. The Wilcoxon rank-sum test confirmed statistically significant improvements (p value < 0.05) in most scenarios. The experiment and Wilcoxon test revealed that GTLBO outperformed other algorithms in optimizing the CHFS problems. For the practical validation of the CHFS model and the GTLBO algorithm, two real-case study problems were analyzed by comparing the optimized schedule costs obtained using GTLBO with the costs of the original schedules. In case study 1, the proposed method reduced the total scheduling cost from RM 53,314.00 to RM 50,854.88, achieving a cost reduction of approximately 4.6%. In case study 2, the cost was reduced from RM 214.35 to RM 208.92, resulting in a 2.5% improvement. This research can help the manufacturers with HFS scheduling setups struggling to minimize their production expenses. Future research directions include establishing multi-objective CHFS scheduling models and developing hybridized optimization algorithms to optimize these models.
610 20 - SUBJECT ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Faculty of Manufacturing and Mechatronic Engineering Technology
General subdivision Dissertations
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Universities and colleges
General subdivision Dissertations
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Theses
General subdivision Dissertations
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Thesis
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
  Not lost Library of Congress Classification   Not for loan UMPLIB PEKAN UMPLIB PEKAN 31/12/2025   FTKPM .W37 2025 r Thesis T000003885 31/12/2025 31/12/2025 Thesis
  Not lost Library of Congress Classification   Final Processing UMPLIB PEKAN UMPLIB PEKAN 31/12/2025   CD13813 T000003886 31/12/2025 31/12/2025 Thesis

Perpustakaan Universiti Malaysia Pahang Al-Sultan Abdullah
26600 Pekan, Pahang Darul Makmur
Phone: +609 431 5063 (Gambang) / +609 431 5035 (Pekan)
Email: umplibrary@umpsa.edu.my

Connect With Us