MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03276ntm a2200337 i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
MY-KuUP |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20260219143744.0 |
| 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 |
260219t20252025my a|||fr|||| 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
THE0010348 (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) |
FIM .N39 2025 r Thesis |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Ahmad Nazif Bin Noor Kamar, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Evaluating production process improvement strategies: utilizing discrete event simulation and system dynamics approaches in a manufacturing sme / |
| Statement of responsibility, etc. |
Ahmad Nazif Bin Noor Kamar |
| 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 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Date of production, publication, distribution, manufacture, or copyright notice |
© 2025 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xii, 182 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
30 cm. + |
| Accompanying material |
1 CD-ROM |
| 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 Industrial Management |
| 502 ## - DISSERTATION NOTE |
|---|
| Dissertation note |
Thesis (Doctor of Philosophy) -- Universiti Malaysia Pahang - 2025 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references |
| 520 3# - SUMMARY, ETC. |
|---|
| Summary, etc. |
Global manufacturing continues to evolve under the pressures of intensified competition, rapid technological advancement, and evolving customer expectations. While large firms have re-evaluated and transformed their operations using advanced technologies to improve production efficiency and maintain competitiveness, small and medium-sized enterprises (SMEs) often face difficulties due to constrained resources. The current work focuses on an SME specializing in aluminium casting products that struggle to meet monthly production targets. A hybrid simulation approach was adopted, combining discrete-event simulation (DES) and system dynamics (SD), to examine both operational inefficiencies and strategic capacity decisions. The DES model replicated the current production process and revealed that a 71% reduction in total production time was necessary to meet existing demand. While, the SD model assessed the long-term impacts of combining improvement strategies, which enabled the SME to potentially expand its capacity to 8,000 units per month. Combining DES and SD provided a comprehensive decision-support framework that addresses both short-term operational issues and long-term strategic planning. The novelty of this study lies in applying a sequential interaction mode of hybrid simulation within a real-world SME manufacturing context, where the output of one simulation model serves as the input for another. This approach allowed for a holistic evaluation of multiple improvement strategies across different decision levels, facilitating scenario-based planning and supporting data-driven decision-making with minimal investment. Future research could apply the proposed hybrid simulation approach across diverse industrial contexts to validate its generalizability and effectiveness. Such efforts would contribute to a broader empirical foundation and strengthen the body of knowledge concerning the scalability, adaptability, and practical application of hybrid simulation methods in implement process improvement. |
| 610 20 - SUBJECT ADDED ENTRY--CORPORATE NAME |
|---|
| Corporate name or jurisdiction name as entry element |
Faculty of Industrial Management |
| 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 |