Improvement of plastic manufacturing processes by six sigma and dmaic methods
Improvements are required in any industry to maximize productivity by reducing faults in any method and removing overall waste produced within the manufacturing facility. This study examines the problems faced by some leading companies in the plastic manufacturing industry, such as Motorola, General...
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| Format: | Article |
| Language: | English |
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King Mongkut's University of Technology North Bangkok
2023
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| Online Access: | http://psasir.upm.edu.my/id/eprint/108853/1/Improvement%20of%20Plastic.pdf |
| _version_ | 1825939669539356672 |
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| author | Seham Ismail, Alhatem Satta As'arry, Azizan Sapuan, Salit Mohd Tarique, Jamal |
| author_facet | Seham Ismail, Alhatem Satta As'arry, Azizan Sapuan, Salit Mohd Tarique, Jamal |
| author_sort | Seham Ismail, Alhatem Satta |
| collection | UPM |
| description | Improvements are required in any industry to maximize productivity by reducing faults in any method and removing overall waste produced within the manufacturing facility. This study examines the problems faced by some leading companies in the plastic manufacturing industry, such as Motorola, General Electric, and Zamil Plastic and how to solve them. In this study, the key difficulty in this plastic manufacturing industry was black dots, which can be seen in injection molding operations. When compared to other faults, the injection molding technique result shows that black dot defects are the main reason for rejects in May, making up almost 41% of all rejects. Because, Defectives Per Million Opportunities (DPMO) of products in Plastic Remote Controls (PRC) result in numerous wastes, statistical quality control (SQC) methods, such as the Pareto chart, cause-effect diagram, and control chart were utilized to examine the data. Also, this study shows that the time necessary for tool changeover was extremely long, resulting in a significant wait for manufacturing because multiple dies and molds were required for production (types of plastic fuel tanks). The novelty of this research is that it clarifies when the company uses six sigma and the DMAIC method to rapidly discover the problem in the products and find a suitable solution to save time, effort, and cost. Run charts and the layout of mold storage are used to solve the problem and ensure that the process is truly improved by reducing the time it takes to change over for tools and dies. |
| first_indexed | 2024-12-09T02:20:54Z |
| format | Article |
| id | upm.eprints-108853 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-12-09T02:20:54Z |
| publishDate | 2023 |
| publisher | King Mongkut's University of Technology North Bangkok |
| record_format | dspace |
| spelling | upm.eprints-1088532024-10-11T07:42:35Z http://psasir.upm.edu.my/id/eprint/108853/ Improvement of plastic manufacturing processes by six sigma and dmaic methods Seham Ismail, Alhatem Satta As'arry, Azizan Sapuan, Salit Mohd Tarique, Jamal Improvements are required in any industry to maximize productivity by reducing faults in any method and removing overall waste produced within the manufacturing facility. This study examines the problems faced by some leading companies in the plastic manufacturing industry, such as Motorola, General Electric, and Zamil Plastic and how to solve them. In this study, the key difficulty in this plastic manufacturing industry was black dots, which can be seen in injection molding operations. When compared to other faults, the injection molding technique result shows that black dot defects are the main reason for rejects in May, making up almost 41% of all rejects. Because, Defectives Per Million Opportunities (DPMO) of products in Plastic Remote Controls (PRC) result in numerous wastes, statistical quality control (SQC) methods, such as the Pareto chart, cause-effect diagram, and control chart were utilized to examine the data. Also, this study shows that the time necessary for tool changeover was extremely long, resulting in a significant wait for manufacturing because multiple dies and molds were required for production (types of plastic fuel tanks). The novelty of this research is that it clarifies when the company uses six sigma and the DMAIC method to rapidly discover the problem in the products and find a suitable solution to save time, effort, and cost. Run charts and the layout of mold storage are used to solve the problem and ensure that the process is truly improved by reducing the time it takes to change over for tools and dies. King Mongkut's University of Technology North Bangkok 2023-04-07 Article NonPeerReviewed text en http://psasir.upm.edu.my/id/eprint/108853/1/Improvement%20of%20Plastic.pdf Seham Ismail, Alhatem Satta and As'arry, Azizan and Sapuan, Salit Mohd and Tarique, Jamal (2023) Improvement of plastic manufacturing processes by six sigma and dmaic methods. Applied Science and Engineering Progress, 16 (spec.3). art. no. 6838. pp. 1-12. ISSN 2672-9156; ESSN: 2673-0421 https://ojs.kmutnb.ac.th/index.php/ijst/article/view/6838 10.14416/j.asep.2023.04.003 |
| spellingShingle | Seham Ismail, Alhatem Satta As'arry, Azizan Sapuan, Salit Mohd Tarique, Jamal Improvement of plastic manufacturing processes by six sigma and dmaic methods |
| title | Improvement of plastic manufacturing processes by six sigma and dmaic methods |
| title_full | Improvement of plastic manufacturing processes by six sigma and dmaic methods |
| title_fullStr | Improvement of plastic manufacturing processes by six sigma and dmaic methods |
| title_full_unstemmed | Improvement of plastic manufacturing processes by six sigma and dmaic methods |
| title_short | Improvement of plastic manufacturing processes by six sigma and dmaic methods |
| title_sort | improvement of plastic manufacturing processes by six sigma and dmaic methods |
| url | http://psasir.upm.edu.my/id/eprint/108853/1/Improvement%20of%20Plastic.pdf |
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