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Toward Global Food Security: Transforming OCP Through Analytics

Author

Listed:
  • Adrian Becker

    (Dynamic Ideas LLC, Waltham, Massachusetts 02452)

  • Kassem Benabderrazik

    (OCP, 20200 Casablanca, Morocco)

  • Dimitris Bertsimas

    (Sloan School of Management and Operations Research Center, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142)

  • Nada Chtinna

    (OCP, 20200 Casablanca, Morocco)

  • Nada El Majdoub

    (OCP, 20200 Casablanca, Morocco)

  • El Miloudi Mahboubi

    (OCP, 20200 Casablanca, Morocco)

  • Driss Lahlou Kitane

    (OCP, 20200 Casablanca, Morocco; Sloan School of Management and Operations Research Center, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142)

  • Steve Kokkotos

    (Dynamic Ideas LLC, Waltham, Massachusetts 02452)

  • Georgia Mourtzinou

    (Dynamic Ideas LLC, Waltham, Massachusetts 02452)

  • Ilyas Rakhis

    (OCP, 20200 Casablanca, Morocco)

Abstract

Humanity relies on cultivated lands to feed itself and thrive. Fertilizers are responsible for 30%–50% of food production, and phosphate, the naturally occurring form of phosphorus, which does not have a substitute, is an essential component of fertilizers. OCP, based in Morocco, is the world’s largest phosphate mining and processing company and therefore plays a critical role in global food security. Over the past decade, OCP, in collaboration with Dynamic Ideas, an analytics consulting company, developed a mixed-integer optimization model to holistically optimize its entire sales and supply chain—from the mines to physical treatments, to chemical facilities, to inventory facilities, and to the port for global distribution. The optimization model brings clarity to a complex supply chain, informs management decisions throughout OCP, and has consistently resulted in an improvement of over 20% in earnings before interest, taxes, depreciation, and amortization (EBITDA) annually. This amounted to over $2.3 billion in the period 2015–2020 (23.6% of the cumulative EBITDA of $9.9 billion over this period). This incremental profitability has fueled OCP’s financing capacity; as a result, OCP is implementing a $20 billion capital expenditures (CAPEX) program. The first phase of the CAPEX program led to the doubling of OCP’s mining capacity and the tripling of its fertilizer production capacity. As a result, OCP increased its fertilizer production capacity by eight million tons in the past decade. The model enabled OCP to produce customized fertilizers that helped improve agricultural yields, which in turn led to increased food production, especially in Africa. The increased production of fertilizers and the availability of customized fertilizers have contributed toward global food security. By demonstrating the interconnectedness of all OCP businesses, the model contributed to creating a culture of collaboration, innovation, and entrepreneurship across the company while breaking the existing silos among departments. This transformation led to the establishment of an analytics-based problem-solving approach throughout OCP and a successful executive education class at the Massachusetts Institute of Technology, thus enriching the university.

Suggested Citation

  • Adrian Becker & Kassem Benabderrazik & Dimitris Bertsimas & Nada Chtinna & Nada El Majdoub & El Miloudi Mahboubi & Driss Lahlou Kitane & Steve Kokkotos & Georgia Mourtzinou & Ilyas Rakhis, 2022. "Toward Global Food Security: Transforming OCP Through Analytics," Interfaces, INFORMS, vol. 52(1), pages 90-107, January.
  • Handle: RePEc:inm:orinte:v:52:y:2022:i:1:p:90-107
    DOI: 10.1287/inte.2021.1111
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    References listed on IDEAS

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    1. Alexandra M. Newman & Enrique Rubio & Rodrigo Caro & Andrés Weintraub & Kelly Eurek, 2010. "A Review of Operations Research in Mine Planning," Interfaces, INFORMS, vol. 40(3), pages 222-245, June.
    2. Stephen C. Graves & Brian T. Tomlin, 2003. "Process Flexibility in Supply Chains," Management Science, INFORMS, vol. 49(7), pages 907-919, July.
    3. Stephen C. Graves & David B. Kletter & William B. Hetzel, 1998. "A Dynamic Model for Requirements Planning with Application to Supply Chain Optimization," Operations Research, INFORMS, vol. 46(3-supplem), pages 35-49, June.
    4. Alexandra Newman & Andres Weintraub, 2014. "Introduction to the Interfaces Special Issue on Operations Research in Mining," Interfaces, INFORMS, vol. 44(2), pages 125-126, April.
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