Purpose

The agriculture industry has a considerable impact on Malaysia’s economy, as seen by its contribution of roughly 8.2% of gross domestic product in 2018 and its potential to absorb 11.09% of Malaysian labor in the same year. This study aims to simulate rising output in a system model of sustainable and profitable crude palm oil (CPO) supply chain management (SCM) and to formulate policy solutions to build sustainable and profitable SCM of Malaysian CPO.

Design/methodology/approach

This research included both primary and secondary data. This study used the dynamic system model to simulate palm oil land expansion, replanting policies and environmentally friendly growing techniques.

Findings

This study’s findings suggest that the dynamic system model of Malaysia’s CPO’s sustainable and profitable SCM is valid when its structure and performance are tested. The fifth scenario provides the best results, with the most significant net benefit value compared to the other scenarios.

Originality/value

The ideal policy alternative is replanting sustainable agricultural practices without burning technologies during new land clearing to achieve the best net advantages.

中文翻译：

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马来西亚毛棕榈油供应链管理的可持续性和盈利能力：系统动力学建模方法

目的

农业对马来西亚经济有着相当大的影响，2018年农业对国内生产总值的贡献约为8.2%，并有潜力吸纳马来西亚11.09%的劳动力。本研究旨在模拟可持续和盈利的原棕油（CPO）供应链管理（SCM）系统模型中不断增长的产量，并制定政策解决方案以建立马来西亚原棕油可持续和盈利的SCM。

设计/方法论/途径

这项研究包括主要和次要数据。本研究使用动态系统模型来模拟棕榈油土地扩张、重新种植政策和环保种植技术。

发现

本研究结果表明，马来西亚原棕油可持续盈利供应链管理的动态系统模型在对其结构和绩效进行测试时是有效的。第五种方案提供了最佳结果，与其他方案相比具有最显着的净效益值。

原创性/价值

理想的政策选择是在新土地清理过程中重新种植可持续农业做法，而不需要燃烧技术，以实现最佳净优势。