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Theory-Driven Practical Approach to Integrate R&D and Production Planning for Portfolio Management in Agribusiness

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Listed:
  • Saurabh Bansal

    (Pennsylvania State University, State College, Pennsylvania 16802)

  • Genaro J. Gutierrez

    (University of Texas at Austin, Austin, Texas 78712)

  • Mahesh Nagarajan

    (University of British Columbia, Vancouver, British Columbia V6T 1Z2, Canada)

Abstract

Agribusiness firms, with an eye toward increasing population and evolving weather patterns, are investing heavily into developing new varieties of staple crops that can provide higher yields and are robust to weather fluctuations. In this paper, we describe a multiyear effort at Dow Agrosciences (now Corteva) to manage its seed corn portfolio, which includes several hundred seeds and is valued at more than $1 billion. The effort had two mutually interacting parts: (1) developing a decision-analytic theory to estimate the production yield distributions for new seed varieties from discrete quantile judgments provided by plant biology experts and (2) developing an optimization protocol to determine Dow's annual production plan for the seed portfolio with the flexibility of backup production in South America, under production yield uncertainty. The first part, owned by the research and development (R&D) function, provides yield probability distributions as inputs to the optimization protocol of the second part, which the production function owns. The results of the optimization problem, which include information about the attractiveness of specific future varieties, are returned to R&D. Both parts incorporate contextual details specific to this industry. In this paper, we show the optimality of linear policies for both problems. Additionally, the linear policies have many attractive structural properties that continue to hold for the more complex instances of the problems. A major strength of the theory we developed is that it is implementable in a transparent fashion, providing managers with a user-friendly, real-time decision support tool. The implementation of the theory developed has led to significant monetary and managerial benefits at Dow.

Suggested Citation

  • Saurabh Bansal & Genaro J. Gutierrez & Mahesh Nagarajan, 2021. "Theory-Driven Practical Approach to Integrate R&D and Production Planning for Portfolio Management in Agribusiness," Interfaces, INFORMS, vol. 51(5), pages 332-346, September.
  • Handle: RePEc:inm:orinte:v:51:y:2021:i:5:p:332-346
    DOI: 10.1287/inte.2021.1080
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    References listed on IDEAS

    as
    1. Saurabh Bansal & Mahesh Nagarajan, 2017. "Product Portfolio Management with Production Flexibility in Agribusiness," Operations Research, INFORMS, vol. 65(4), pages 914-930, August.
    2. Octavio A. Ramirez & Sukant Misra & James Field, 2003. "Crop-Yield Distributions Revisited," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(1), pages 108-120.
    3. Saurabh Bansal & Genaro J. Gutierrez & John R. Keiser, 2017. "Using Experts’ Noisy Quantile Judgments to Quantify Risks: Theory and Application to Agribusiness," Operations Research, INFORMS, vol. 65(5), pages 1115-1130, October.
    4. Donald L. Keefer & Samuel E. Bodily, 1983. "Three-Point Approximations for Continuous Random Variables," Management Science, INFORMS, vol. 29(5), pages 595-609, May.
    5. Rita Esther Zapata-V�zquez & Anthony O'Hagan & Leonardo Soares Bastos, 2014. "Eliciting expert judgements about a set of proportions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(9), pages 1919-1933, September.
    6. Woonghee Tim Huh & Mahesh Nagarajan, 2010. "Technical note ---Linear Inflation Rules for the Random Yield Problem: Analysis and Computations," Operations Research, INFORMS, vol. 58(1), pages 244-251, February.
    7. Philip C. Jones & Timothy J. Lowe & Rodney D. Traub & Greg Kegler, 2001. "Matching Supply and Demand: The Value of a Second Chance in Producing Hybrid Seed Corn," Manufacturing & Service Operations Management, INFORMS, vol. 3(2), pages 122-137, April.
    8. Ali E. Abbas & David V. Budescu & Hsiu-Ting Yu & Ryan Haggerty, 2008. "A Comparison of Two Probability Encoding Methods: Fixed Probability vs. Fixed Variable Values," Decision Analysis, INFORMS, vol. 5(4), pages 190-202, December.
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