In postharvest supply chain, although some optimization methods can be used to take quality attribute into account, but it is still complicated task to cope with uncertainties and obtain reasonable data to be applied in the model. In order to select appropriate postharvest handling action at different stages with respect to desired quality attribute, and expected selling price, an application of dynamics programming approach under fuzzy information was presented in this paper. Commencing estimation of possible price and cost using Fuzzy Delphi Method. Data obtained can be quantified as triangular membership function and those obtained data can be defuzzified though centre of area method (COA). Finally, dynamic programming was well applied using crisp data to select appropriate postharvest handling method with respect to quality state at handling stage in order to achieve the most plausible profit.
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