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Schlumberger Optimizes Receiver Location for Automated Meter Reading

Author

Listed:
  • Srinagesh Gavirneni

    (Operations and Decision Technologies, Kelley School of Business, Indiana University, Bloomington, Indiana 47405)

  • Lloyd Clark

    (Austin Technology Center, Schlumberger, Austin, Texas 78726)

  • Gábor Pataki

    (Department of Operations Research, University of North Carolina, Chapel Hill, North Carolina 27599)

Abstract

In its efforts to provide automated meter-reading services to the utility industry, Schlumberger faces the problem of deploying receivers efficiently. In a geographic region, the problem is to install the minimum number of receivers on existing utility poles so that all wireless meters in that region can transmit their readings to at least one. Schlumberger first encountered this large-scale problem in a project it ran for Illinois Power. It found solving this problem manually very time consuming, and it had no ability to evaluate the robustness of the resulting solution. We proposed and implemented an optimization-based approach that reduced the duration and cost of implementations. In addition, we gave planners the ability to answer what-if questions.

Suggested Citation

  • Srinagesh Gavirneni & Lloyd Clark & Gábor Pataki, 2004. "Schlumberger Optimizes Receiver Location for Automated Meter Reading," Interfaces, INFORMS, vol. 34(3), pages 208-214, June.
    • Handle: RePEc:inm:orinte:v:34:y:2004:i:3:p:208-214
    DOI: 10.1287/inte.1030.0069
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    Citations

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    Cited by:

    1. Matisziw, Timothy C. & Murray, Alan T., 2009. "Siting a facility in continuous space to maximize coverage of a region," Socio-Economic Planning Sciences, Elsevier, vol. 43(2), pages 131-139, June.
    2. Milind Dawande & Srinagesh Gavirneni & Yinping Mu & Suresh Sethi & Chelliah Sriskandarajah, 2010. "On the Interaction Between Demand Substitution and Production Changeovers," Manufacturing & Service Operations Management, INFORMS, vol. 12(4), pages 682-691, September.
    3. Lei Lei & Jun Ru & Ruixia Shi & Jun Zhang, 2022. "A Two‐Product Newsvendor Problem with Partial Demand Substitution," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 1157-1173, March.

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