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SMART OPERATIONS: IMPLEMENTING AI-DRIVEN TECHNOLOGIES FOR ENHANCED EFFICIENCY IN SUPPLY CHAIN MANAGEMENT

Branding: Jurnal Manajemen dan Bisnis · Vol. 3 No. 1 (2024)

DOI
10.15575/jb.v3i1.35118
ISSN
2963-8852, 2963-8852
Terbit
2024-05-24
Penerbit
UIN Sunan Gunung Djati Bandung
Bahasa
eng

Abstrak

Supply chain management is a vital element in a company's overall operations, but is faced with complex challenges such as fluctuations in market demand, logistical complexity, resource limitations, and the risk of disruption. This research aims to explore the role of artificial intelligence (AI)-based technology in overcoming these challenges. This research will be carried out using a qualitative approach, collecting data from various relevant sources and then analyzing it systematically. Through this approach, this research aims to gain a deep understanding of the long-term impact of applying AI to the supply chain, including improving operational efficiency, competitive advantage, supporting sustainability, and the evolution of the human role. The research results show that AI makes a significant contribution to improving companies' operational efficiency, providing competitive advantage through enhanced responsiveness, supporting more sustainable business practices, and enabling the evolution of the role of humans in the supply chain. The practical implication of this research is that the application of AI technology can help companies achieve better performance and prepare for future challenges in an increasingly complex and dynamic business environment.

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  • Cenderawasih University
  • Universitas Gadjah Mada
  • Universitas Jember
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Mashudi MashudiAfiliasi tidak diketahui3
Reni Sara IndrawatiAfiliasi tidak diketahui2
MashudiAfiliasi tidak diketahui2
Nyoman Ngurah AryaAfiliasi tidak diketahui2
Syech IdrusAfiliasi tidak diketahui2
Hikmah SekarningtyasAfiliasi tidak diketahui2
M. Imron Mas'udAfiliasi tidak diketahui2
Suharno SuharnoCenderawasih University1
Chris D. SembayAfiliasi tidak diketahui1
Verena AgustiniCenderawasih University1
Lisiard DimaraCenderawasih University1
Maryani MaryaniUniversitas Jember1
Utaminingsih UtaminingsihAfiliasi tidak diketahui1
Sulhan EtfantiAfiliasi tidak diketahui1
Putri AnditasariAfiliasi tidak diketahui1
Agus Dedi SubagjaAfiliasi tidak diketahui1
Yogi Syarif HidayatAfiliasi tidak diketahui1
Yusti PujisariAfiliasi tidak diketahui1
Farida AkbarinaAfiliasi tidak diketahui1
Denpharanto Agung KrisprimandoyoAfiliasi tidak diketahui1
Muh TabranAfiliasi tidak diketahui1
Endang FatmawatiAfiliasi tidak diketahui1
R. Ayu Erni JusnitaAfiliasi tidak diketahui1
I Made SurahartaAfiliasi tidak diketahui1
Nico DjajasingaAfiliasi tidak diketahui1
Sri Umiatun AndayaniAfiliasi tidak diketahui1
Nurhamzah NurhamzahAfiliasi tidak diketahui1
Radi RadiAfiliasi tidak diketahui1
Aprilya FitrianiAfiliasi tidak diketahui1
Nico Djundharto DjajasingaAfiliasi tidak diketahui1
Dasmadi DasmadiAfiliasi tidak diketahui1
Yane MayasariAfiliasi tidak diketahui1
Sri SuparniAfiliasi tidak diketahui1
Jemmy RinaldyAfiliasi tidak diketahui1
I Ketut MahaputraAfiliasi tidak diketahui1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://journal.uinsgd.ac.id/index.php/branding/oai, pertama di-harvest 7 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">SMART OPERATIONS: IMPLEMENTING AI-DRIVEN TECHNOLOGIES FOR ENHANCED EFFICIENCY IN SUPPLY CHAIN MANAGEMENT</dc:title>
	<dc:creator>Fauziah, Luluk</dc:creator>
	<dc:creator>Suharyanto, Suharyanto</dc:creator>
	<dc:creator>Herlina, R. Lisye</dc:creator>
	<dc:creator>Sutisna, Adang</dc:creator>
	<dc:creator>Gymnastiar, Iman Ahmad</dc:creator>
	<dc:subject xml:lang="en-US">Artificial Intelligence</dc:subject>
	<dc:subject xml:lang="en-US">Supply Chain Management</dc:subject>
	<dc:subject xml:lang="en-US">Logistics.</dc:subject>
	<dc:description xml:lang="en-US">Supply chain management is a vital element in a company's overall operations, but is faced with complex challenges such as fluctuations in market demand, logistical complexity, resource limitations, and the risk of disruption. This research aims to explore the role of artificial intelligence (AI)-based technology in overcoming these challenges. This research will be carried out using a qualitative approach, collecting data from various relevant sources and then analyzing it systematically. Through this approach, this research aims to gain a deep understanding of the long-term impact of applying AI to the supply chain, including improving operational efficiency, competitive advantage, supporting sustainability, and the evolution of the human role. The research results show that AI makes a significant contribution to improving companies' operational efficiency, providing competitive advantage through enhanced responsiveness, supporting more sustainable business practices, and enabling the evolution of the role of humans in the supply chain. The practical implication of this research is that the application of AI technology can help companies achieve better performance and prepare for future challenges in an increasingly complex and dynamic business environment.</dc:description>
	<dc:publisher xml:lang="en-US">UIN Sunan Gunung Djati Bandung</dc:publisher>
	<dc:date>2024-05-24</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.uinsgd.ac.id/index.php/branding/article/view/35118</dc:identifier>
	<dc:identifier>10.15575/jb.v3i1.35118</dc:identifier>
	<dc:source xml:lang="en-US">Branding: Jurnal Manajemen dan Bisnis; Vol. 3 No. 1 (2024): BRANDING: Jurnal Manajemen dan Bisnis</dc:source>
	<dc:source xml:lang="id-ID">Branding: Jurnal Manajemen dan Bisnis; Vol 3 No 1 (2024): BRANDING: Jurnal Manajemen dan Bisnis</dc:source>
	<dc:source>2963-8852</dc:source>
	<dc:source>2963-8852</dc:source>
	<dc:source>10.15575/jb.v3i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.uinsgd.ac.id/index.php/branding/article/view/35118/10714</dc:relation>
	<dc:relation>10.15575/jb.v3i1.35118.g10714</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2024 Branding: Jurnal Manajemen dan Bisnis</dc:rights>
</oai_dc:dc>