Preliminary Study of Web Based Decision Support System to Select Manufacturing Industry Suppliers

Denny Trias Utomo, DTU and Pratikto, PRT and Purnomo Budi Santoso, PBS and Sugiono, SUG (2020) Preliminary Study of Web Based Decision Support System to Select Manufacturing Industry Suppliers. Journal of Southwest Jiaotong University, Vol 55 (2). ISSN 0258-2724

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Abstract

Industry 4.0 is an integration between automation and manufacturing industry which requires the use of information technology to implement it. In the operational management framework, there is a supply chain management function that is strongly influenced by quality suppliers. Because choosing a quality new supplier is not an easy thing, we need a reliable application tool and utilizing web-based artificial intelligence technology for the selection of suppliers in the manufacturing industry. The selection of new suppliers is a complex problem because it involves multiple criteria, therefore it is necessary to make a decision support system that is able to complete supplier selection properly. Although the selection of suppliers in the manufacturing industry is not new, in the era of Industry 4.0, a decision support system that is used to choose an absolute supplier based online that must be accessible via the web or mobile application. Therefore the writer's idea in this paper is very relevant to be implemented in the manufacturing industry in all fields in the industrial era 4.0.

Item Type:	Article
Contributors:	Contribution Contributors NIDN/NIDK Author UNSPECIFIED UNSPECIFIED Author of introduction, etc. UNSPECIFIED UNSPECIFIED Author of introduction, etc. UNSPECIFIED UNSPECIFIED Author of introduction, etc. UNSPECIFIED UNSPECIFIED
Subjects:	410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 462 - Teknologi Informasi
Divisions:	Jurusan Teknologi Informasi > Prodi D4 Teknik Informatika > Publikasi
Depositing User:	Mr DTU Denny Trias Utomo
Date Deposited:	02 Jun 2022 07:21
Last Modified:	10 Jun 2023 09:34
URI:	https://sipora.polije.ac.id/id/eprint/12047

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