Kenaf is a fibre-producing plants that is still highly potential to develop in Indonesia. There is a gap between supply and demand of natural fibre by 90.38%, meaning that it is only 9.62% of kenaf fibre demand met by domestic processors. The main objective of this research is designing an intelligent supply chain model of natural fibre agroindustry. Three sub-models would be developed to answer research questions, i.e.: (1) Developing a sub-model of collaborative replenishment, (2) Designing a sub-model of integrated production and inventory planning, and (3) Developing a sub-model of improvement in supply chain performance. Some approaches that would be employed in this study are Supply chain analytics, Collaborative planning, forecasting and replenishment, Particle swarm optimization, and Value chain operation reference. The concept of industry 4.0 that would be developed was an implementation scheme of Internet of Things in production optimization of dried kenaf fibre through employment of sensors and image processing. Indicators of success factor for this research that were established are: (1) Enhancement in supply chain efficiency and effectivity, (2) Enhancement in satisfaction level among supply chain actors, and (3) Achievement of level optimization and inventory cost minimization, and (4) Usefulness of a web based NFiSCA application.
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