MARC details
| 000 -LEADER |
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| fixed length control field |
03484ntm a2200325 i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
MY-KuUP |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20260223151436.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
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| fixed length control field |
t||||fr|||| 000 0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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| fixed length control field |
ta |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
260223t20252025my a|||fr|||| 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
THE0010373 (Local) |
| Qualifying information |
Hardback |
| 040 ## - CATALOGING SOURCE |
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| 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 .K43 2025 r Thesis |
| 100 0# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Mohammad Khairil Izhan Bin Anuar, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Metric-based assessment of sustainability performance in the silica manufacturing process / |
| Statement of responsibility, etc. |
Mohammad Khairil Izhan Bin Anuar |
| 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 |
xvi, 168 pages : |
| Other physical details |
illustrations ; |
| 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. |
Contemporary manufacturing practices profoundly influence environmental, economic, and societal aspects of sustainability. Despite various sustainability assessment methodologies, few address all three dimensions comprehensively. Moreover, scarce methods account for both stochastic and fuzzy uncertainties simultaneously, particularly in the context of the silica manufacturing sector. In Malaysia, while manufacturing holds significance in economic and technological realms, its adoption of sustainability practices remains lacking. Thus, this research aims to devise a robust stochastic-fuzzy sustainability assessment framework tailored for the silica manufacturing sector. The methodology involves a structured four-step process. First, an extensive literature review identified research gaps and informed the development of sustainability indicators. Using the Delphi method, 43 weighted sustainability indicators across environmental, economic, and social dimensions were validated through two rounds of expert consensus, with a 75% agreement threshold. The framework integrates both quantitative and qualitative metrics by employing Monte Carlo simulation for stochastic uncertainties and fuzzy logic (using a Mamdani inference system) for fuzzy uncertainties. Quantitative indicators were modeled using Monte Carlo simulation, while qualitative indicators were assessed through fuzzy logic, combining outputs to generate a comprehensive Triple Bottom Line (TBL)-based sustainability index. Case studies within the manufacturing domain, including real-world data collected through site visits, interviews, and documentation reviews, validated the method’s robustness. The application of the framework to a representative case company yielded a sustainability index of 1.95, demonstrating its practicality in assessing sustainability performance amidst complex uncertainties. This integrated approach facilitates internal decision-making within manufacturing entities and offers a practical tool for benchmarking and improving sustainability practices. Ultimately, this research advances understanding of sustainable silica manufacturing and provides actionable insights for enhancing sustainability performance in silica manufacturing organizations. |
| 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 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Thesis |