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Supply chain optimization using genetic algorithm in industry manufacture: A systematic literature review

  • Masmur Tarigan
  • , Ford Lumban Gaol
  • , Harco Lesie Hendric Spits Warnars
  • , Benefano Soewito
  • , Tokuro Matsuo

研究成果: ジャーナルへの寄稿総説査読

抄録

One of the supply chain and exchange of material information from suppliers to final consumers is the supply chain idea. Customer needs fluctuate or go unnoticed as a result of the increase, decrease, and cancellation of consumer interest, and supply chains play a role in market competition. The thorough literature review aims to find a more accurate and efficient application of genetic algorithms in the manufacturing industry for supply chain optimization. from the journal search results, 171 journals were found for the period 2016-2021, after review, 118 journals that were relevant to the research were selected, from these relevant journals there were 23 selected journals. Of these 23 journals, there are still gaps in the criteria for research questions, based on search strings, process criteria, so that further research on supply chain optimization using genetic algorithms can still be done.

本文言語英語
ページ(範囲)4141-4152
ページ数12
ジャーナルJournal of Theoretical and Applied Information Technology
99
16
出版ステータス出版済み - 31-08-2021
外部発表はい

All Science Journal Classification (ASJC) codes

  • 理論的コンピュータサイエンス
  • コンピュータサイエンス一般

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