A conceptual framework on the design of intelligent supply chain for natural fibre agroindustry

Nurhasanah, Nunung and Machfud and Mangunwidjaja, Djumali and Romli, Muhammad (2020) A conceptual framework on the design of intelligent supply chain for natural fibre agroindustry. AIP Conference Proceedings, 2217 (1).

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Official URL: https://aip.scitation.org/doi/abs/10.1063/5.000074...


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.

Item Type: Article
Uncontrolled Keywords: Kenaf fibre, Natural fibre agroindustry
Subjects: 600 Applied sciences & technology > 630 Agriculture
600 Applied sciences & technology > 650 Management & public relations > 658 General Management
Divisions: Universitas Al-Azhar Indonesia (UAI) > Fakultas Sains dan Teknologi (FST) > Teknik Industri
Depositing User: Rifda Jilan
Date Deposited: 08 Apr 2023 04:02
Last Modified: 02 May 2023 07:54
URI: http://eprints.uai.ac.id/id/eprint/2204

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