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Verizon Optimizes Work Center Locations to Reduce Installation and Repair Operations Costs

Author

Listed:
  • J. David Allen

    (Verizon Business Analytics, Richardson, Texas 75082)

  • Roger L. Tobin

    (Verizon Business Analytics, Waltham, Massachusetts 02451)

  • Anthony Calderan

    (Verizon Global Real Estate Energy Management, Basking Ridge, New Jersey 07920)

Abstract

The work of a telecommunications company involves installing, maintaining, and expanding its infrastructure, and requires many employees and vehicles located at work centers. These work centers serve as a home base for workers, provide a supply chain location for parts, supplies, and tools, provide parking for vehicles, and represent a significant cost of doing business. This paper addresses the problem of determining where Verizon should locate work centers and where it should assign technicians to provide appropriate service levels at the lowest overall cost. We also present our analysis process and the real-world lessons we learned. The implementation of optimized results we obtained provided Verizon with significant savings compared to its current operations.

Suggested Citation

  • J. David Allen & Roger L. Tobin & Anthony Calderan, 2017. "Verizon Optimizes Work Center Locations to Reduce Installation and Repair Operations Costs," Interfaces, INFORMS, vol. 47(2), pages 111-121, April.
    • Handle: RePEc:inm:orinte:v:47:y:2017:i:2:p:111-121
    DOI: 10.1287/inte.2016.0871
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    References listed on IDEAS

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    2. Caunhye, Aakil M. & Nie, Xiaofeng & Pokharel, Shaligram, 2012. "Optimization models in emergency logistics: A literature review," Socio-Economic Planning Sciences, Elsevier, vol. 46(1), pages 4-13.
    3. Rawls, Carmen G. & Turnquist, Mark A., 2012. "Pre-positioning and dynamic delivery planning for short-term response following a natural disaster," Socio-Economic Planning Sciences, Elsevier, vol. 46(1), pages 46-54.
    4. Serhan Duran & Marco A. Gutierrez & Pinar Keskinocak, 2011. "Pre-Positioning of Emergency Items for CARE International," Interfaces, INFORMS, vol. 41(3), pages 223-237, June.
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    Cited by:

    1. Ningxuan Kang & Hao Shen & Ye Xu, 2022. "JD.com Improves Delivery Networks by a Multiperiod Facility Location Model," Interfaces, INFORMS, vol. 52(2), pages 133-148, March.
    2. Christian Haket & Bo van der Rhee & Jacques de Swart, 2020. "Saving Time and Money and Reducing Carbon Dioxide Emissions by Efficiently Allocating Customers," Interfaces, INFORMS, vol. 50(3), pages 153-165, May.

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