Fuzzy multiple-objective linear programming for transportation mode and storage mode selection in fruit value chain: a case study of coconut
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http://doi.nrct.go.th/?page=resolve_doi&resolve_doi=10.14457/TU.the.2023.555
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资源简介:
This independent study has developed models to optimize Thailand's coconut value chain. This study considers storage and transportation modes expected to enhance the efficient delivery of high-value coconuts to consumers, considering both ambient and cold transportation and storage modes. The development of the model starts from the LP model, which offers a simple and easy-to-use solution that is effective in decision-making processes to maximize total profit. Following by, developing an FLP model using a weighted average method and maximizing the minimum method involves managing uncertainty objectively and maximizing total profit. The last is developing an FMOLP model using a maximize weighted average satisfaction and maximizing the minimum satisfaction method. Improving decision-making involves effectively balancing multiple objectives and managing trade-offs between goals to maximize total profit and minimize carbon emissions. The results were obtained by solving the five presented models so that the business owner or decision maker could choose the model that aligned with the desired objectives. The results obtained from solving the five models have differences based on the objective that focuses on total profit or compromises between maximizing profit and minimizing carbon emission. This model was presented so the business owner or decision maker could choose the model that aligns with the desired objectives. Additionally, this study also serves as a foundation for studying models to optimize value chains of fresh fruit or perishable goods.
本独立研究开发了用于优化泰国椰子价值链的模型。本研究考量了常温与冷链两类储运模式,旨在实现高价值椰子向消费者的高效配送,兼顾常温运输存储与冷链运输存储两种方案。模型开发首先从线性规划(Linear Programming, LP)模型起步,该模型提供了简便易用的求解方案,可有效辅助决策以实现总利润最大化。随后,本研究借助加权平均法与最小最大化法构建了模糊线性规划(Fuzzy Linear Programming, FLP)模型,该模型可客观管控不确定性并实现总利润最大化。最后,本研究采用最大化加权平均满意度与最大化最小满意度的方法,构建了模糊多目标线性规划(Fuzzy Multi-Objective Linear Programming, FMOLP)模型。优化决策环节需有效平衡多目标,并协调各目标间的权衡关系,以实现总利润最大化与碳排放最小化。本研究通过求解上述五种模型得到结果,以便企业所有者或决策者可根据自身期望目标选择适配的模型。五种模型的求解结果存在差异,差异取决于目标导向:是以总利润为核心,还是兼顾利润最大化与碳排放最小化的权衡目标。前述模型的构建可为企业所有者或决策者提供基于期望目标的模型选择依据。此外,本研究同时可为新鲜水果或易腐品的价值链优化模型研究提供基础框架。
提供机构:
Thammasat University
创建时间:
2024-09-11



