MARC details
| 000 -LEADER |
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| fixed length control field |
03489nmm a2200313 a 4500 |
| 001 - CONTROL NUMBER |
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| control field |
vtls000098444 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
KUKTEM |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20251117113331.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
161214s2016 my fq d 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
THE0005114(Local) |
| 039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE] |
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| Level of rules in bibliographic description |
201905131515 |
| Level of effort used to assign nonsubject heading access points |
hanafiah |
| Level of effort used to assign subject headings |
201712261158 |
| Level of effort used to assign classification |
nazri |
| -- |
201612141028 |
| -- |
saini |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
UMP |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
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| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
FKP .A855 2016 r Bc. |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
|---|
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
CD 10445 |
| 100 0# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Atikah Selamat |
| 245 10 - TITLE STATEMENT |
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| Title |
Simulation-based scheduling system at R2 Print Enterprise Kuantan |
| Medium |
[electronic resource] / |
| Statement of responsibility, etc. |
Atikah Selamat |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Kuantan, Pahang : |
| Name of publisher, distributor, etc. |
UMP, |
| Date of publication, distribution, etc. |
2016 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
1 computer disc : |
| Other physical details |
digital data ; |
| Dimensions |
12 cm. |
| 500 ## - GENERAL NOTE |
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| General note |
Faculty of Manufacturing Engineering |
| 500 ## - GENERAL NOTE |
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| General note |
Theses Gred A |
| 502 ## - DISSERTATION NOTE |
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| Dissertation note |
Project Paper (Bachelor of Engineering in Manufacturing Engineering (Hons.)) -- Universiti Malaysia Pahang – 2016 |
| 520 3# - SUMMARY, ETC. |
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| Summary, etc. |
This thesis deals with decision support tool for dynamic job shop scheduling at R2 Print Enterprise, Kuantan. The objective of this thesis is to understand the job shop production in dynamic environment, to develop scheduling system based on real-time data and to implement it in R2 Print Enterprise. The thesis describes the scheduling techniques with aim to delivering jobs on time and can adapt to the rush orders. Here, a printing company with two different jobs are modelled in Arena Simulation Software to study the suitable scheduling heuristic rules to be implemented to the problems. The main heuristic rules studied in this thesis are First In First Out (FIFO), Earliest Due Date (EDD), Shortest Processing Time (SPT) and Longest Processing Time (LPT). The performance measures taken in this research are the Total Average Time Delays, Total Average Product Delays, Total Product Flow Times and the Resource Utilizations. The Large Format Product (LFP) job considered n = 6 products and m = 4 work centers (6x4) while the Paper Product (PP) job considered n = 7 products and m = 3 work centers (7x3). The product sequence and processing time are dependent on each other. The sequence length can vary from three to four operations and there is no flexibility on the sequence. The model is run for 5 days with 9 hours operation time per day. The obtained results indicate that in LFP job, there is no single rule which dominates the others although EDD seems to be more effective than other rules.The summarized results show that the best scheduling rules for Total Time Delays is SPT, for Total Product Delays is EDD, for Total Flow Times is EDD the best scheduling rules for Resource Utilization is SPT. In PP job, there is also no dominant single rule that clearly dominant although the most successing rules are those with short processing times. The summarized results indicate that the best scheduling rules for Total Time Delays is EDD. For Total Product Delays are FIFO and EDD, for Total Flow Times is SPT and for Resource Utilization, the best scheduling rule is SPT, FIFO, LPT and EDD as they give equal results. The results can significantly reduce the time to produce and reduce the delay in delivering jobs. |
| 538 ## - SYSTEM DETAILS NOTE |
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| System details note |
Item in PDF format |
| 610 20 - SUBJECT ADDED ENTRY--CORPORATE NAME |
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| Corporate name or jurisdiction name as entry element |
Faculty of Manufacturing Engineering |
| 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 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="http://ecollib.ump.edu.my/id/eprint/4045">http://ecollib.ump.edu.my/id/eprint/4045</a> |
| Public note |
Access in library only |