Manufacturing Resources Optimization Deployment for Complicated Parts Based on Network

Abstract:

Agility of physical manufacturing unit is the competitive advantage in the global manufacturing environment. It is believed that the agility can be realized by dynamically optimization deployment of networked manufacturing resources. To solve this problem, logical manufacturing unit (LMU) and logical manufacturing process (LMP) are proposed and defined to decompose and model networked manufacturing task according to the process of complex part. When selecting manufacturing resources for these manufacturing tasks, many factors should be taken into account. However, manufacturing cost, time to market and manufacturing quality are the most important factors. In this paper, networked manufacturing resources pre-deployment is carried out to find candidate manufacturing resources based on manufacturing resources abilities, such as part family, geometric feature, material type, rough type, dimension range, machining method, precision grade and production type. Then, taking transportation time and cost besides manufacturing time, cost and quality into consideration, the objectives and restrictions of manufacturing resources optimization deployment are analyzed, and manufacturing resources optimization deployment problem is considered as a multi-objectives optimization problem.

• Periodical: Advanced Materials Research (Volume 186)
• Pages: 89-93
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.186.89
• Online since: January 2011
• Authors: Wen Li Peng, Wen Ni Zhang, Hai Ming Jin
• Keywords: Genetic Algorithm (GA), Logical Manufacturing Process, Logical Manufacturing Unit, Manufacturing Resources Optimization Deployment, Physical Manufacturing Unit

References

[1] PENG Wen-li, QIN Zhong-bao, CHEN Li-ping. Research on Manufacturing Process Collaborative Management System. Proceeding of 2008' International Workshop Information Technology and Security，Shanghai，299-302.

[2] PENG Wen-li, ZHANG Ding-hua, YAO Chang-feng. Networked Processing Allocation System. Computer Engineering, 2006, 32(5): 244-247.

[3] YAO Chang-feng, ZHANG Ding-hua, BU Kun. Collaborative manufacturing task information model and its model building method for complex parts. Computer Integrated Manufacturing Systems. 2009, 15(1): 47-52.

[4] Brucker, P., Drexl, A., Mohring, R., Neumann, K., Pesch, E., 1999. Resource-constrained project scheduling: Notation, classification, models, and methods. European Journal of Operational Research, 112, 3-41.

DOI: 10.1016/s0377-2217(98)00204-5

[5] RAO Yun-qing，ZHU Chuan-ju，ZHANG Chao-yong, 2003, Resource Integration and Execution System in Shop Floor Supporting Networked Manufacturing. Computer Integrated Manufacturing System, 9, 120-1125.