The interconnection and interworking, a process of data interaction among different levels in manufacturing enterprises, are the core of realizing intelligent manufacturing. This paper focuses on the modeling of the interconnection-related information in product manufacturing and develops an info-interconnect model (IIM) in product manufacturing based on a widespread research of various informational aspects in the business logic of the digital workshop of manufacturing enterprises. The developed IIM, which describes the product data structure and the organizational logic of the production process, follows a layered modeling methodology in which IIM is subdivided into layers with the main purpose to separate entities, rules, workflow, and application into different levels. Then, based on resource-driven mechanism, business processes are modeled by directed acyclic graphs (i.e., PR-AOV network and PR-AOE network), incidence matrix of resources, and set of resources availability in order to improve the management and control of workflow, and to provide basis for dynamic scheduling of workshop. Finally, workshop layer application and control layer application have been incorporated to validate the usability and applicability of the developed IIM. This new info-interconnect model paves the way for the assurance of data consistency, the development of fully integrated manufacturing workflow, and the rapid deployment of efficient business logic in a manufacturing workshop.
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December 2019
Research-Article
Toward Intelligent Manufacturing Workshop Modeling and Validation of a Resource-Driven Mechanism-Based Info-Interconnect Model
Kai Yu Song,
Kai Yu Song
College of Mechanical Engineering and Applied Electronics Technology,
Beijing 100124,
e-mail: kaiyusong@163.com
Beijing University of Technology
,Beijing 100124,
China
e-mail: kaiyusong@163.com
Search for other works by this author on:
Min Wang,
Min Wang
1
College of Mechanical Engineering and Applied Electronics Technology,
Beijing 100124,
Beijing University of Technology
,Beijing 100124,
China
;Beijing Municipal Key Laboratory of Electrical Discharge Machining Technology
Beijing 100191,
e-mail: wangm@bjut.edu.cn
Beijing 100191,
China
e-mail: wangm@bjut.edu.cn
1Corresponding author.
Search for other works by this author on:
Li Ming Liu,
Li Ming Liu
College of Mechanical Engineering and Applied Electronics Technology,
Beijing 100124,
e-mail: 1399897081@qq.com
Beijing University of Technology
,Beijing 100124,
China
e-mail: 1399897081@qq.com
Search for other works by this author on:
Ge Long Zhu,
Ge Long Zhu
College of Mechanical Engineering and Applied Electronics Technology,
Beijing 100124,
e-mail: zgl_double@163.com
Beijing University of Technology
,Beijing 100124,
China
e-mail: zgl_double@163.com
Search for other works by this author on:
Yun Feng Zhang
Yun Feng Zhang
China National Machine Tool,
Beijing 100102,
e-mail: zyf1021@foxmail.com
Quality Supervision Testing Center
,Beijing 100102,
China
e-mail: zyf1021@foxmail.com
Search for other works by this author on:
Kai Yu Song
College of Mechanical Engineering and Applied Electronics Technology,
Beijing 100124,
e-mail: kaiyusong@163.com
Beijing University of Technology
,Beijing 100124,
China
e-mail: kaiyusong@163.com
Min Wang
College of Mechanical Engineering and Applied Electronics Technology,
Beijing 100124,
Beijing University of Technology
,Beijing 100124,
China
;Beijing Municipal Key Laboratory of Electrical Discharge Machining Technology
Beijing 100191,
e-mail: wangm@bjut.edu.cn
Beijing 100191,
China
e-mail: wangm@bjut.edu.cn
Li Ming Liu
College of Mechanical Engineering and Applied Electronics Technology,
Beijing 100124,
e-mail: 1399897081@qq.com
Beijing University of Technology
,Beijing 100124,
China
e-mail: 1399897081@qq.com
Ge Long Zhu
College of Mechanical Engineering and Applied Electronics Technology,
Beijing 100124,
e-mail: zgl_double@163.com
Beijing University of Technology
,Beijing 100124,
China
e-mail: zgl_double@163.com
Yun Feng Zhang
China National Machine Tool,
Beijing 100102,
e-mail: zyf1021@foxmail.com
Quality Supervision Testing Center
,Beijing 100102,
China
e-mail: zyf1021@foxmail.com
1Corresponding author.
Manuscript received February 25, 2019; final manuscript received May 1, 2019; published online June 7, 2019. Assoc. Editor: Ying Liu.
J. Comput. Inf. Sci. Eng. Dec 2019, 19(4): 041012 (14 pages)
Published Online: June 7, 2019
Article history
Received:
February 25, 2019
Revision Received:
May 1, 2019
Accepted:
May 1, 2019
Citation
Song, K. Y., Wang, M., Liu, L. M., Zhu, G. L., and Zhang, Y. F. (June 7, 2019). "Toward Intelligent Manufacturing Workshop Modeling and Validation of a Resource-Driven Mechanism-Based Info-Interconnect Model." ASME. J. Comput. Inf. Sci. Eng. December 2019; 19(4): 041012. https://doi.org/10.1115/1.4043727
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