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Wholesale Price Contract or Mixed Wholesale-Option-Contract? Procurement Strategy for a Contract Farming Supply Chain under Flexible Supply

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  • Shengqiang Hu

    (School of Business Administration, Guangdong University of Finance and Economics, Guangzhou 510320, China
    Research Institute of Innovation Competitiveness of Guangdong, Hongkong and Macao Bay Area, Guangdong University of Finance and Economics, Guangzhou 510320, China)

  • Lou Liu

    (School of Business Administration, Guangdong University of Finance and Economics, Guangzhou 510320, China
    Research Institute of Innovation Competitiveness of Guangdong, Hongkong and Macao Bay Area, Guangdong University of Finance and Economics, Guangzhou 510320, China)

  • Xing Liu

    (School of Business Administration, Guangdong University of Finance and Economics, Guangzhou 510320, China)

Abstract

Due to the uncertainty of world economic development, market demands are stochastic and the supply quantities of suppliers in the supply chain are always flexible, so a mixed wholesale-option-contract (abbreviated as a mixed contract) is one of the good ways for commodity distributors to cope with flexible supply. For a contract farming supply chain composed of a distributor and two suppliers under random demand and yield, we propose the new mixed contracts with flexible supply for the players to make better procurement and inventory decisions. Therefore, with decentralized decision making with a wholesale price contract and centralized decision making as benchmarks for comparison, the advantages of mixed contracts were demonstrated in this paper. The expected profit function under each transaction mode was proved to be concave and the optimal orders or production quantities were obtained and compared. Theoretical derivation and numerical examples were carried out and the main conclusions are as follows. First, the distributor’s total order quantities are the largest under centralized decision making, then the second largest under mixed contracts, then the least under wholesale price contracts. Second, for the dealer under mixed contracts, within the feasible range, the smaller the option price (or option exercise price) is, the greater the dealer’s profit is. Third, with increasing initial order quantity, the gap between the dealer’s profits under different option prices (or option exercise prices) narrows, and eventually tends to the same point. For both the suppliers as a whole, a mixed contract is better than the wholesale price one. Fourth, when the prices of the option contract change within a reasonable range (they may not be too small or too large), the profits of both the dealer and suppliers under a mixed contract are not only higher than those under the wholesale price contract, but also higher than those under centralized decision making. Finally, policies and suggestions (such as full investigation, explicitly defining the process of contracts, establishing real-time supervision and information sharing mechanisms, and so on) were put forward to improve the accuracy of supply and demand forecasting, better implement mixed contracts under flexible supply, and strengthen reforms about agricultural supply side.

Suggested Citation

  • Shengqiang Hu & Lou Liu & Xing Liu, 2024. "Wholesale Price Contract or Mixed Wholesale-Option-Contract? Procurement Strategy for a Contract Farming Supply Chain under Flexible Supply," Sustainability, MDPI, vol. 16(10), pages 1-24, May.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:10:p:4029-:d:1392533
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    References listed on IDEAS

    as
    1. Chong Wang & Xu Chen, 2015. "Optimal ordering policy for a price-setting newsvendor with option contracts under demand uncertainty," International Journal of Production Research, Taylor & Francis Journals, vol. 53(20), pages 6279-6293, October.
    2. Wang, Chong & Chen, Jing & Chen, Xu, 2017. "Pricing and order decisions with option contracts in the presence of customer returns," International Journal of Production Economics, Elsevier, vol. 193(C), pages 422-436.
    3. Jiarong Luo & Xu Chen, 2017. "Risk hedging via option contracts in a random yield supply chain," Annals of Operations Research, Springer, vol. 257(1), pages 697-719, October.
    4. Hu, Fei & Lim, Cheng-Chew & Lu, Zudi, 2013. "Coordination of supply chains with a flexible ordering policy under yield and demand uncertainty," International Journal of Production Economics, Elsevier, vol. 146(2), pages 686-693.
    5. Ghavamifar, Ali & Torabi, S. Ali & Moshtari, Mohammad, 2022. "A hybrid relief procurement contract for humanitarian logistics," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 167(C).
    6. Niu, Baozhuang & Jin, Delong & Pu, Xujin, 2016. "Coordination of channel members’ efforts and utilities in contract farming operations," European Journal of Operational Research, Elsevier, vol. 255(3), pages 869-883.
    7. Wang, Lingling & Wu, Yong & Hu, Shengqiang, 2021. "Make-to-order supply chain coordination through option contract with random yields and overconfidence," International Journal of Production Economics, Elsevier, vol. 242(C).
    8. Zhao, Yingxue & Ma, Lijun & Xie, Gang & Cheng, T.C.E., 2013. "Coordination of supply chains with bidirectional option contracts," European Journal of Operational Research, Elsevier, vol. 229(2), pages 375-381.
    9. Sammi Yu Tang & Panos Kouvelis, 2011. "Supplier Diversification Strategies in the Presence of Yield Uncertainty and Buyer Competition," Manufacturing & Service Operations Management, INFORMS, vol. 13(4), pages 439-451, October.
    10. Jakšič, M. & Fransoo, J.C., 2018. "Dual sourcing in the age of near-shoring: Trading off stochastic capacity limitations and long lead times," European Journal of Operational Research, Elsevier, vol. 267(1), pages 150-161.
    11. Süleyman Demirel & Roman Kapuscinski & Man Yu, 2018. "Strategic Behavior of Suppliers in the Face of Production Disruptions," Management Science, INFORMS, vol. 64(2), pages 533-551, February.
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