The Application of Enterprise Modeling for Aerospace Manufacturing System Integration

2001 ◽  
pp. 225-240
Author(s):  
Gary P. Moynihan
2009 ◽  
Vol 407-408 ◽  
pp. 207-210
Author(s):  
Qi Feng Wang

To effectively realize the optimal operation target of paperless production, real time production and integration in manufacturing process for workshop manufacturing system, this paper puts forward an equipment integration-based workshop e-Manufacturing execution mode, and analyzes the basic elements for the operation mode. Furthermore, some of the key issues which are important to support the operation mode are described in detail, including system integration technologies, equipment integration-based real time data collection and information interaction technologies. Finally, the operation mode is applied in a NC workshop of an automobile part manufacturing enterprise in Chongqing, and its feasibility is demonstrated.


Author(s):  
Chi-yen Kim ◽  
David Espaline ◽  
Eric MacDonald ◽  
Ryan B. Wicker ◽  
Da-Hye Kim ◽  
...  

Author(s):  
Angella Thomas ◽  
David A. Guerra-Zubiaga ◽  
John Cohran

Manufacturing system integration is an important industrial and research activity to explore Next Generation Automated Systems (NGAS). Manufacturing systems has been incorporating flexible, reconfigurable, smart and intelligent features. Advances in technology and trends such Industry 4.0 will revolutionize the manufacturing industry tremendously. Important subjects in this direction are Digital Twins, Internet of Things, and Collaborative Robots among others, are integral to continue the progression to create smart and reliable manufacturing processes. This paper aims to implement a method applying these concepts in a Flexible Manufacturing System (FMS) by providing a broad view of NGAS.


Author(s):  
Chaoyang Zhang ◽  
Pingyu Jiang ◽  
Lei Zhang ◽  
Peihua Gu

Increasing energy consumption of manufacturing industry demands novel approaches to achieve energy conservation and emission reduction. Most of the previous research efforts in this area focused more on analyzing manufacturing energy consumption of a process or that of a machine tool with less concern on the system level of advanced machining workshop, especially a flexible manufacturing system. In this article, a new energy-saving approach of flexible manufacturing system is put forward based on energy evaluation model for integration of process planning and scheduling problem in flexible manufacturing system (flexible manufacturing system-integration of process planning and scheduling). First, complying with feature precedence and other technological requirements, flexible manufacturing system -integration of process planning and scheduling is mapped as an asymmetric traveling salesman problem of which operations are provinces and candidate operations are cities belonging to different provinces. To evaluate the performance of each solution of the asymmetric traveling salesman problem, energy consumption evaluation criteria for flexible manufacturing system-integration of process planning and scheduling are established and three energy efficiency indicators are also provided to perform further analysis on manufacturing energy consumption, that is, part energy efficiency, machine tool energy efficiency and feasible solution energy efficiency. Then, a mutation-combined ant colony optimization algorithm is proposed to solve the flexible manufacturing system-integration of process planning and scheduling which combined roulette and mutation selection methods to pick out the next candidate operation. The pheromone trails associated with edges are released by the so-far-best ant or the iteration-best ant probabilistically to both keep the search directed and avoid converging to the local best. Finally, a case study of flexible manufacturing system in advanced machining workshop is employed to demonstrate the feasibility and applicability of this approach in three different scenarios and compared with the “process planning then scheduling” approach; energy consumption obtained by the proposed method drops 10.7%.


1997 ◽  
Vol 13 (3) ◽  
pp. 317-326 ◽  
Author(s):  
J.M. Proth ◽  
Liming Wang ◽  
Xiaolan Xie

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