A Methodology Based on Resource Elements for Equipment Capability Analysis Oriented Virtual Cellular Manufacturing Systems

Author:

Han Wen Min1,Chen Ying1,Zhao Jin Lei1

Affiliation:

1. Jiangsu University of Science and Technology

Abstract

This paper analyzed the demand for equipment capability analysis in virtual cellular manufacturing systems, and then recognized that the traditional methodologies for equipment capability analysis can no longer present unique and shared capability boundaries of equipments. A new methodology for equipment capability analysis termed resource elements was reported. Moreover, the concrete realization process of resource elements was proposed. After did clustering analysis on the distribution of form generating schema among the equipments using SAS analysis software, an equipment resource model was constructed based on resource elements. The reported results show that the use of resource elements makes description about the functional characteristics among the equipments more clearly. Furthermore, the proposed method laid a foundation of recognition for virtual formation.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference20 articles.

1. McLean, C. R., et al. The Virtual Manufacturing Cell. Paper presented at the In Proceedings of Fourth IFAC/IFIP Conference on Information Control Problems in Manufacturing Technology [C]. 1982: 105-111.

2. Khilwani N, Ulutas B H, Islier A, et al. A methodology to design virtual cellular manufacturing systems[J]. Intelligent Manufacturing, 2009, (1): 1-12.

3. Richard Y. K. Fung & Feng Liang & Zhibin Jiang & T. N. Wong. A multi-stage methodology for virtual cell formation oriented agile manufacturing [J]. Int J Adv Manuf Technol 2008, (36): 798-810.

4. Bai Junjie, Gong Yiguang, Wang Ningsheng et al. Methodology of virtual manufacturing cell formation in reconfigurable manufacturing system for system for make to order manufacturing [J]. Computer Integrated Manufacturing Systems. 2009, 15(2): 314-317.

5. Tariq, A. et al. A hybrid genetic algorithm for machine-part grouping [J]. Computers & Industrial Engineering 2009, 56: 347–356.

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