This study aims to develop a decision model to optimise the oil palm biomass value chains by minimising the environmental impact whiles generating economy value from their bioproducts. The model considers two major components, namely, a fuzzy analytic hierarchy (FAHP) framework and a multi-objective optimisation model. Both components will be used by integrating the priorities of the environmental and economic impacts obtained from experts' judgement with the multi-objective optimisation model to generate an optimal solution based on expert's judgement. The framework used to study different case study for the oil palm industry in Peninsular Malaysia. Results show that a maximum profit of 267,116,398 USD per year can be achieved. However, to minimise the environmental impact, a 34% cut of the profit is needed to reduce 91% of CO₂ emissions generated and 97% of water consumption. Moreover, the model generates optimal pathways by selecting the processing facilities that are needed in the value chain to achieve the objectives. The biomass or bio-product distribution networks around Peninsular Malaysia are also presented in this paper. Several scenarios are discussed to observe the effects on the optimal value chain solutions by manipulating the production level. On the basis of the results, the interactions of the environment–food–energy–water nexus are investigated. Therefore, this study can contribute to the improvement of oil palm industry policies while addressing sustainability issues through the proposed value chain model.

这项研究旨在开发一种决策模型，以通过最小化环境影响并从其生物产品产生经济价值的同时优化油棕生物质价值链。该模型考虑了两个主要组成部分，即模糊分析层次结构（FAHP）框架和多目标优化模型。通过将专家的判断所获得的环境和经济影响的优先级与多目标优化模型相集成，可以使用这两个组件，以基于专家的判断来生成最佳解决方案。该框架用于研究马来西亚半岛油棕产业的不同案例研究。结果显示，每年可实现的最高利润为267,116,398美元。但是，为了最大程度地减少对环境的影响，需要将利润减少34％，以减少91％的二氧化碳产生_2种排放物和97％的用水量。此外，该模型通过选择价值链中实现目标所需的加工设施来生成最佳路径。本文还介绍了马来西亚半岛周围的生物质或生物产品分销网络。讨论了几种方案，以通过控制生产水平来观察对最佳价值链解决方案的影响。在结果的基础上，研究了环境-食物-能源-水关系的相互作用。因此，这项研究可以在改善油棕产业政策的同时，通过提议的价值链模型解决可持续性问题。