Job Shop Scheduling Based on Digital Twin Technology: A Survey and an Intelligent Platform
The concept of digital twinning has become a hot topic in the manufacturing industry in recent years. The emerging digital twin technology is an intelligent technology that makes full use of multimodels, big data, and interdisciplinary knowledge, which provides some new approaches for the field of t...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/8823273 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832559983380660224 |
|---|---|
| author | Haifei Yu Songjian Han Dongsheng Yang Zhiyong Wang Wei Feng |
| author_facet | Haifei Yu Songjian Han Dongsheng Yang Zhiyong Wang Wei Feng |
| author_sort | Haifei Yu |
| collection | DOAJ |
| description | The concept of digital twinning has become a hot topic in the manufacturing industry in recent years. The emerging digital twin technology is an intelligent technology that makes full use of multimodels, big data, and interdisciplinary knowledge, which provides some new approaches for the field of the intelligent manufacturing industry. The job shop scheduling problem has been an important research field in the discrete manufacturing industry. Digital twin technology is adopted to solve the problem of job shop scheduling, which provides the possibility for the intelligent development of workshops. Based on digital twin technology and combined with the actual problem of production line scheduling, we propose a new intelligent scheduling platform to solve the shop scheduling problems above. Meanwhile, based on the prediction and diagnosis of multisource dynamic interference in the workshop production process by big data analysis technology, the corresponding interference strategy is formulated in advance by the scheduling cloud platform. The model simulation experiment of intelligent dispatching cloud platform was carried out, and some enterprises in intelligent manufacturing workshop were taken as examples to verify the superiority of the dispatching cloud platform. Finally, we look forward to the future research direction of intelligent manufacturing based on digital twin technology. |
| format | Article |
| id | doaj-art-83af1b76e9fe4954a1ddaa7b0852a19a |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-83af1b76e9fe4954a1ddaa7b0852a19a2025-02-03T01:28:44ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/88232738823273Job Shop Scheduling Based on Digital Twin Technology: A Survey and an Intelligent PlatformHaifei Yu0Songjian Han1Dongsheng Yang2Zhiyong Wang3Wei Feng4School of Business Administration, Northeastern University, Shenyang, ChinaSchool of Business Administration, Northeastern University, Shenyang, ChinaCollege of Information Science and Engineering, Northeastern University, Shenyang, ChinaShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Beijing, ChinaShenzhen Key Laboratory of Smart Sensing and Intelligent Systems, Shenzhen, ChinaThe concept of digital twinning has become a hot topic in the manufacturing industry in recent years. The emerging digital twin technology is an intelligent technology that makes full use of multimodels, big data, and interdisciplinary knowledge, which provides some new approaches for the field of the intelligent manufacturing industry. The job shop scheduling problem has been an important research field in the discrete manufacturing industry. Digital twin technology is adopted to solve the problem of job shop scheduling, which provides the possibility for the intelligent development of workshops. Based on digital twin technology and combined with the actual problem of production line scheduling, we propose a new intelligent scheduling platform to solve the shop scheduling problems above. Meanwhile, based on the prediction and diagnosis of multisource dynamic interference in the workshop production process by big data analysis technology, the corresponding interference strategy is formulated in advance by the scheduling cloud platform. The model simulation experiment of intelligent dispatching cloud platform was carried out, and some enterprises in intelligent manufacturing workshop were taken as examples to verify the superiority of the dispatching cloud platform. Finally, we look forward to the future research direction of intelligent manufacturing based on digital twin technology.http://dx.doi.org/10.1155/2021/8823273 |
| spellingShingle | Haifei Yu Songjian Han Dongsheng Yang Zhiyong Wang Wei Feng Job Shop Scheduling Based on Digital Twin Technology: A Survey and an Intelligent Platform Complexity |
| title | Job Shop Scheduling Based on Digital Twin Technology: A Survey and an Intelligent Platform |
| title_full | Job Shop Scheduling Based on Digital Twin Technology: A Survey and an Intelligent Platform |
| title_fullStr | Job Shop Scheduling Based on Digital Twin Technology: A Survey and an Intelligent Platform |
| title_full_unstemmed | Job Shop Scheduling Based on Digital Twin Technology: A Survey and an Intelligent Platform |
| title_short | Job Shop Scheduling Based on Digital Twin Technology: A Survey and an Intelligent Platform |
| title_sort | job shop scheduling based on digital twin technology a survey and an intelligent platform |
| url | http://dx.doi.org/10.1155/2021/8823273 |
| work_keys_str_mv | AT haifeiyu jobshopschedulingbasedondigitaltwintechnologyasurveyandanintelligentplatform AT songjianhan jobshopschedulingbasedondigitaltwintechnologyasurveyandanintelligentplatform AT dongshengyang jobshopschedulingbasedondigitaltwintechnologyasurveyandanintelligentplatform AT zhiyongwang jobshopschedulingbasedondigitaltwintechnologyasurveyandanintelligentplatform AT weifeng jobshopschedulingbasedondigitaltwintechnologyasurveyandanintelligentplatform |