The Optimal Harvest Decisions for Natural and Artificial Maturation Mangoes under Uncertain Demand, Yields and Prices

Sheng-I Chen*, Chen Wei-Fu

*此作品的通信作者

    研究成果: Article同行評審

    摘要

    This study focuses on the decisions of picking, inventory, ripening, delivering, and selling mangoes in a harvesting season. Demand, supply, and prices are uncertain, and their probability density functions are fitted based on actual trading data collected from the largest spot market in Taiwan. A stochastic programming model is formulated to minimize the expected cost under the
    considerations of labor, storage space, shelf life, and transportation restrictions. We implement the sample-average approximation to obtain a high-quality solution of the stochastic program. The analysis compares deterministic and stochastic solutions to assess the uncertain effect on the harvest decisions. Finally, the optimal harvest schedule of each mango variety is suggested based on the stochastic program solution.
    原文American English
    頁(從 - 到)1-17
    頁數17
    期刊Sustainability
    13
    發行號9960
    DOIs
    出版狀態Accepted/In press - 27 八月 2021

    指紋

    深入研究「The Optimal Harvest Decisions for Natural and Artificial Maturation Mangoes under Uncertain Demand, Yields and Prices」主題。共同形成了獨特的指紋。

    引用此