A Multi-Objective Optimization of Secure Pull Manufacturing Systems
This paper aims to optimize the losses of the current manufacturing systems to perform the Just in Time (JIT) system and minimize the time, labor, and material in the manufacturing process. Pull systems, which have a famous name of the Smart Kanban system, are one of the methodologies to implement t...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/12/5937 |
| _version_ | 1797490353941512192 |
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| author | Samia Elattar Heba G. Mohamed Shimaa A. Hussien |
| author_facet | Samia Elattar Heba G. Mohamed Shimaa A. Hussien |
| author_sort | Samia Elattar |
| collection | DOAJ |
| description | This paper aims to optimize the losses of the current manufacturing systems to perform the Just in Time (JIT) system and minimize the time, labor, and material in the manufacturing process. Pull systems, which have a famous name of the Smart Kanban system, are one of the methodologies to implement the JIT system. The setting of manufacturing system frameworks offers intriguing capabilities to improve the performance of pull-controlled creation frameworks. Smart Kanban can be utilized, rather than actual cards, and the data conversion about the manufacturing settings, is accessible through sensors. Since a Just-in-Time system does not include a buffer, any interruption to the system can cause the process to stop quite quickly, so security is necessary for the JIT improvement. However, those systems have recently been unguarded to security threats as they introduce general-purpose technologies. From the viewpoint of the system, a security measure is implemented for pull system methods to check for potential threats and analyze vulnerabilities of the pull system. The Flower Pollination Algorithm (FPA) is used as a novel multiobjective technique to optimize different types of cost and time. The experimental results show that the proposed algorithm has robust security efficiency, as well as reduces cost and time consumption. |
| first_indexed | 2024-03-10T00:31:47Z |
| format | Article |
| id | doaj.art-ad40e7307d5e42288aa217d456154bf4 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T00:31:47Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-ad40e7307d5e42288aa217d456154bf42023-11-23T15:24:57ZengMDPI AGApplied Sciences2076-34172022-06-011212593710.3390/app12125937A Multi-Objective Optimization of Secure Pull Manufacturing SystemsSamia Elattar0Heba G. Mohamed1Shimaa A. Hussien2Department of Industrial and Systems Engineering, College of Engineering, Princess Nourah Bint Abdulrahman University, Riyadh 84428, Saudi ArabiaElectrical Department, College of Engineering, Princess Nourah Bint Abdulrahman University, Riyadh 11671, Saudi ArabiaElectrical Department, College of Engineering, Princess Nourah Bint Abdulrahman University, Riyadh 11671, Saudi ArabiaThis paper aims to optimize the losses of the current manufacturing systems to perform the Just in Time (JIT) system and minimize the time, labor, and material in the manufacturing process. Pull systems, which have a famous name of the Smart Kanban system, are one of the methodologies to implement the JIT system. The setting of manufacturing system frameworks offers intriguing capabilities to improve the performance of pull-controlled creation frameworks. Smart Kanban can be utilized, rather than actual cards, and the data conversion about the manufacturing settings, is accessible through sensors. Since a Just-in-Time system does not include a buffer, any interruption to the system can cause the process to stop quite quickly, so security is necessary for the JIT improvement. However, those systems have recently been unguarded to security threats as they introduce general-purpose technologies. From the viewpoint of the system, a security measure is implemented for pull system methods to check for potential threats and analyze vulnerabilities of the pull system. The Flower Pollination Algorithm (FPA) is used as a novel multiobjective technique to optimize different types of cost and time. The experimental results show that the proposed algorithm has robust security efficiency, as well as reduces cost and time consumption.https://www.mdpi.com/2076-3417/12/12/5937just-in-timeKanbanadaptive pull control systemsdigital signaturesecurity measureBioGamal |
| spellingShingle | Samia Elattar Heba G. Mohamed Shimaa A. Hussien A Multi-Objective Optimization of Secure Pull Manufacturing Systems Applied Sciences just-in-time Kanban adaptive pull control systems digital signature security measure BioGamal |
| title | A Multi-Objective Optimization of Secure Pull Manufacturing Systems |
| title_full | A Multi-Objective Optimization of Secure Pull Manufacturing Systems |
| title_fullStr | A Multi-Objective Optimization of Secure Pull Manufacturing Systems |
| title_full_unstemmed | A Multi-Objective Optimization of Secure Pull Manufacturing Systems |
| title_short | A Multi-Objective Optimization of Secure Pull Manufacturing Systems |
| title_sort | multi objective optimization of secure pull manufacturing systems |
| topic | just-in-time Kanban adaptive pull control systems digital signature security measure BioGamal |
| url | https://www.mdpi.com/2076-3417/12/12/5937 |
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