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Accurate response in agricultural supply chains

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  • Pinçe, Çerağ
  • Yücesan, Enver
  • Bhaskara, Prithveesha Govinda

Abstract

In this paper, we introduce an accurate response framework in the context of commercial seed production by deploying the multiordering newsvendor model with dynamic forecast evolution to determine the timing and the quantity of production. We also demonstrate the challenges associated with applying the Martingale Model of Forecast Evolution (MMFE) to real data and propose practical remedies. More specifically, we fit the MMFE to the data for a variety of seeds (SKUs) produced by a major seed manufacturer and rank these SKUs based on their demand volume and volatility. We then assess the value of the MMFE-based accurate response by benchmarking it against the classic newsvendor model. We find that the MMFE-based accurate response can considerably increase the seed manufacturer’s profits by neatly dividing the product portfolio into four quadrants, according to demand volume and volatility, to determine the production timing and quantity. Such portfolio categorization would also enable the salesforce to better allocate their efforts to increase forecasting accuracy for the most critical products in their portfolio.

Suggested Citation

  • Pinçe, Çerağ & Yücesan, Enver & Bhaskara, Prithveesha Govinda, 2021. "Accurate response in agricultural supply chains," Omega, Elsevier, vol. 100(C).
    • Handle: RePEc:eee:jomega:v:100:y:2021:i:c:s0305048319300453
    DOI: 10.1016/j.omega.2020.102214
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    1. Marshall Fisher & Kumar Rajaram & Ananth Raman, 2001. "Optimizing Inventory Replenishment of Retail Fashion Products," Manufacturing & Service Operations Management, INFORMS, vol. 3(3), pages 230-241, November.
    2. Reimann, Marc, 2011. "Speculative production and anticipative reservation of reactive capacity by a multi-product newsvendor," European Journal of Operational Research, Elsevier, vol. 211(1), pages 35-46, May.
    3. L. Beril Toktay & Lawrence M. Wein, 2001. "Analysis of a Forecasting-Production-Inventory System with Stationary Demand," Management Science, INFORMS, vol. 47(9), pages 1268-1281, September.
    4. Marshall Fisher & Ananth Raman, 1996. "Reducing the Cost of Demand Uncertainty Through Accurate Response to Early Sales," Operations Research, INFORMS, vol. 44(1), pages 87-99, February.
    5. Cattani, Kyle D. & Dahan, Ely & Schmidt, Glen M., 2008. "Tailored capacity: Speculative and reactive fabrication of fashion goods," International Journal of Production Economics, Elsevier, vol. 114(2), pages 416-430, August.
    6. Philip C. Jones & Timothy J. Lowe & Rodney D. Traub, 2002. "Matching Supply and Demand: The Value of a Second Chance in Producing Seed Corn," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 24(1), pages 222-238.
    7. John J. Glen, 1987. "Feature Article—Mathematical Models in Farm Planning: A Survey," Operations Research, INFORMS, vol. 35(5), pages 641-666, October.
    8. Tong Wang & Atalay Atasu & Mümin Kurtuluş, 2012. "A Multiordering Newsvendor Model with Dynamic Forecast Evolution," Manufacturing & Service Operations Management, INFORMS, vol. 14(3), pages 472-484, July.
    9. Tang, Dong, 2011. "Managing finished-goods inventory under capacitated delayed differentiation," Omega, Elsevier, vol. 39(5), pages 481-492, October.
    10. Amirhosein Norouzi & Reha Uzsoy, 2014. "Modeling the evolution of dependency between demands, with application to inventory planning," IISE Transactions, Taylor & Francis Journals, vol. 46(1), pages 55-66.
    11. Philip C. Jones & Timothy J. Lowe & Rodney D. Traub, 2002. "Matching Supply and Demand: The Value of a Second Chance in Producing Seed Corn," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 24(1), pages 222-238.
    12. Chung, Chia-Shin & Flynn, James & Kirca, Omer, 2008. "A multi-item newsvendor problem with preseason production and capacitated reactive production," European Journal of Operational Research, Elsevier, vol. 188(3), pages 775-792, August.
    13. Tamer Boyacı & Özalp Özer, 2010. "Information Acquisition for Capacity Planning via Pricing and Advance Selling: When to Stop and Act?," Operations Research, INFORMS, vol. 58(5), pages 1328-1349, October.
    14. Warren H. Hausman, 1969. "Sequential Decision Problems: A Model to Exploit Existing Forecasters," Management Science, INFORMS, vol. 16(2), pages 93-111, October.
    15. Behzadi, Golnar & O’Sullivan, Michael Justin & Olsen, Tava Lennon & Zhang, Abraham, 2018. "Agribusiness supply chain risk management: A review of quantitative decision models," Omega, Elsevier, vol. 79(C), pages 21-42.
    16. Sechan Oh & Özalp Özer, 2013. "Mechanism Design for Capacity Planning Under Dynamic Evolutions of Asymmetric Demand Forecasts," Management Science, INFORMS, vol. 59(4), pages 987-1007, April.
    17. Susan R. Hunter & Benjamin McClosky, 2016. "Maximizing quantitative traits in the mating design problem via simulation-based Pareto estimation," IISE Transactions, Taylor & Francis Journals, vol. 48(6), pages 565-578, June.
    18. Isik Bicer & Verena Hagspiel & Suzanne de Treville, 2018. "Valuing Supply-Chain Responsiveness Under Demand Jumps," Swiss Finance Institute Research Paper Series 18-44, Swiss Finance Institute.
    19. Timothy J. Lowe & Paul V. Preckel, 2004. "Decision Technologies for Agribusiness Problems: A Brief Review of Selected Literature and a Call for Research," Manufacturing & Service Operations Management, INFORMS, vol. 6(3), pages 201-208.
    20. Peter Comhaire & Felix Papier, 2015. "Syngenta Uses a Cover Optimizer to Determine Production Volumes for Its European Seed Supply Chain," Interfaces, INFORMS, vol. 45(6), pages 501-513, December.
    21. Yang, Daojian & Qi, Ershi & Li, Yajiao, 2015. "Quick response and supply chain structure with strategic consumers," Omega, Elsevier, vol. 52(C), pages 1-14.
    22. Weskamp, Christoph & Koberstein, Achim & Schwartz, Frank & Suhl, Leena & Voß, Stefan, 2019. "A two-stage stochastic programming approach for identifying optimal postponement strategies in supply chains with uncertain demand," Omega, Elsevier, vol. 83(C), pages 123-138.
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