Nurhasanah, Nunung and Machfud and Mangunwidjaja, Djumali and Romli, Muhammad and Marimin (2023) The blue print of intelligent decision support system for supply chain Kenaf agroindustry. AIP Conference Proceedings, 2485 (1). 020009-1. ISSN 1551-7616
Full text not available from this repository.Abstract
The purpose of this study is to develop the blue print of Intelligent Decision Support System (IDSS) in the supply chain network of Kenaf Natural Fibre Agroindustry (KNFA) which has not been much studied. This paper will be an important contribution to KNFA studies in Indonesia. This blueprint refers to the two echelons of the KNFA supply chain network, namely the upstream supply chain network (KNFA) and the middle-stream supply chain network (textile industry). The simulation of the inventory collaboration model in the upstream supply chain have been carried out on the Net Beans IDE 12.0 application. Consecutive research will carry out a simulation of the inventory collaboration model in the middle-stream supply chain network, and develop a digital platform with an Android studio application for smartphones based on android, and Net beans application for desktops.
| Item Type: | Article |
|---|---|
| Additional Information: | Presented in "The 13th International Seminar on Industrial Engineering and Management (ISIEM)" held by Indonesian Association of Industrial Engineering Higher Education (BKSTI) and the Institution of Engineer Indonesia – Industrial Engineering Chapter (BKTI-PII) on 28 July 2021 in Bandung, Indonesia. |
| Uncontrolled Keywords: | intelligent decision support system; inventory collaboration; performance; supply chain; value added |
| Subjects: | 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: | 12 Aug 2023 10:06 |
| Last Modified: | 12 Aug 2023 10:24 |
| URI: | http://eprints.uai.ac.id/id/eprint/2362 |
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