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A Specialty Steel Bar Company Uses Analytics to Determine Available-to-Promise Dates

Author

Listed:
  • Foad Mahdavi Pajouh

    (Department of Industrial and Systems Engineering, University of Florida, Shalimar, Florida 32579)

  • Dahai Xing

    (Operations Analysis, FedEx Corporate, Memphis, Tennessee 38120)

  • Yingjue Zhou

    (School of Industrial Engineering and Management, Oklahoma State University, Stillwater, Oklahoma 74078)

  • Sharethram Hariharan

    (Global Planning Business Intelligence, Dell Inc., Round Rock, Texas 78682)

  • Balabhaskar Balasundaram

    (School of Industrial Engineering and Management, Oklahoma State University, Stillwater, Oklahoma 74078)

  • Tieming Liu

    (School of Industrial Engineering and Management, Oklahoma State University, Stillwater, Oklahoma 74078)

  • Ramesh Sharda

    (Department of Management Science and Information Systems, Spears School of Business, Oklahoma State University, Stillwater, Oklahoma 74078)

Abstract

In this paper, we describe an application of prescriptive analytics to enhance data-driven decision making at a specialty steel bar products supplier and manufacturer in North America. As part of the company’s daily business, it must make available-to-promise (ATP) decisions, which determine in real time the dates by which it can promise delivery of products that customers requested during the quotation stage. Previously, a salesperson had to make such decisions by analyzing reports on available inventory. To support these ATP decisions, we developed a real-time decision support system (DSS) to find an optimal assignment of the available inventory and to support additional what-if analysis. The DSS uses a suite of mixed-integer programming models and commercial software to solve the models. The company has incorporated the DSS into its enterprise resource planning system to seamlessly facilitate its use of business analytics.

Suggested Citation

  • Foad Mahdavi Pajouh & Dahai Xing & Yingjue Zhou & Sharethram Hariharan & Balabhaskar Balasundaram & Tieming Liu & Ramesh Sharda, 2013. "A Specialty Steel Bar Company Uses Analytics to Determine Available-to-Promise Dates," Interfaces, INFORMS, vol. 43(6), pages 503-517, December.
    • Handle: RePEc:inm:orinte:v:43:y:2013:i:6:p:503-517
    DOI: 10.1287/inte.2013.0693
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    References listed on IDEAS

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    1. Vastag, Gyula & Whybark, D. Clay, 1993. "Global relations between inventory, manufacturing lead time and delivery date promises," International Journal of Production Economics, Elsevier, vol. 30(1), pages 563-569, July.
    2. P. C. Gilmore & R. E. Gomory, 1961. "A Linear Programming Approach to the Cutting-Stock Problem," Operations Research, INFORMS, vol. 9(6), pages 849-859, December.
    3. Dylan Jones & Mehrdad Tamiz, 2010. "Practical Goal Programming," International Series in Operations Research and Management Science, Springer, edition 1, number 978-1-4419-5771-9, December.
    4. Zhenying Zhao & Michael Ball & Masahiro Kotake, 2005. "Optimization-Based Available-To-Promise with Multi-Stage Resource Availability," Annals of Operations Research, Springer, vol. 135(1), pages 65-85, March.
    5. Kingsman, Brian & Worden, Lee & Hendry, Linda & Mercer, Alan & Wilson, Elaine, 1993. "Integrating marketing and production planning in make-to-order companies," International Journal of Production Economics, Elsevier, vol. 30(1), pages 53-66, July.
    6. Pibernik, Richard, 2005. "Advanced available-to-promise: Classification, selected methods and requirements for operations and inventory management," International Journal of Production Economics, Elsevier, vol. 93(1), pages 239-252, January.
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