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Parallel Network Computing Approach For Dea-Ram Measurement

Author

Listed:
  • TOSHIYUKI SUEYOSHI

    (New Mexico Institute of Mining and Technology, Department of Management, Socorro, New Mexico 87801-4796, USA)

  • SHIUH-NAN HWANG

    (Ming Chuan University, Graduate School of Management, Chung Shan North Road, Section 5, Taipei, Taiwan, R.O.C.)

Abstract

An efficiency measure, referred to as "Range-Adjusted Measure (RAM)," has been recently proposed as a new type of DEA (Data Envelopment Analysis) performance evaluator. To deal with large RAM problems, this study documents how the algorithm of RAM is designed in a parallel process. The parallel process is implemented on a Local Area Network (LAN) that connects multiple personal computers. A large simulation study examines the performance of the proposed RAM network computing approach.

Suggested Citation

  • Toshiyuki Sueyoshi & Shiuh-Nan Hwang, 2004. "Parallel Network Computing Approach For Dea-Ram Measurement," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 21(01), pages 69-95.
    • Handle: RePEc:wsi:apjorx:v:21:y:2004:i:01:n:s0217595904000060
    DOI: 10.1142/S0217595904000060
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    Cited by:

    1. Avkiran, Necmi K. & Morita, Hiroshi, 2010. "Benchmarking firm performance from a multiple-stakeholder perspective with an application to Chinese banking," Omega, Elsevier, vol. 38(6), pages 501-508, December.

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