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MULTI OBJECTIVES FUZZY ANT COLONY OPTIMIZATION DESIGN OF SUPPLY PATH SEARCHING

Jurnal Ilmu Komputer dan Informasi (JIKI) · Vol. 5 No. 2 (2012) · pp. 89–97

DOI
10.21609/jiki.v5i2.194
ISSN
2502-9274, 2088-7051
Published
2012-07-29
Publisher
Faculty of Computer Science - Universitas Indonesia
Language
eng

Abstract

One of problem faced in supply chain management is path searching. The best path depend not only on distance, but also other variables, such as: the quality of involved companies, quality of delivered product, and other value resulted by quality measurement. Commonly, the ant colony optimization could search the best path that has only one objective path. But it would be difficult to be adopted, because in the real case, the supply path has multi path and objectives (especially in palm oil based bioenergy supply). The objective of this paper is to improve the ant colony optimization for solving multi objectives based supply path problem by using fuzzy ant colony optimization. The developed multi objectives fuzzy ant colony optimization design was explained here, that it was used to search the best supply path. Salah satu masalah yang dihadapi dalam Supply Chain Management adalah pencarian jalur. Jalur terbaik tidak hanya tergantung pada jarak, tetapi juga variabel lain, seperti: kualitas perusahaan yang terlibat, kualitas produk yang dikirimkan, dan nilai lain yang dipengaruhi oleh pengukuran kualitas. Umumnya, Ant Colony Optimization bisa mencari jalur terbaik yang hanya memiliki satu jalur objektif. Tapi akan sulit untuk diadopsi, karena dalam kasus nyata, jalur supply memiliki banyak jalur dan tujuan (khususnya pasokan minyak kelapa sawit berbasis bioenergi). Tujuan dari penelitian ini adalah untuk meningkatkan Ant Colony Optimization dalam menyelesaikan masalah jalur supply dengan menggunakan Fuzzy Ant Colony Optimization. Tujuan pengembangan Fuzzy Ant Colony Optimization dijelaskan disini, yaitu digunakan untuk mencari jalur supply terbaik.

Keywords

Collaboration network of the authors

7 authors · 13 co-authorship links · 5 across different organisations

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  • IPB University
  • Syarif Hidayatullah State Islamic University Jakarta
  • Indonesian Institute of Sciences
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
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Co-authorOrganisationJoint articles
Fadly Akbar SaputraIPB University1
Laksana Tri HandokoIndonesian Institute of Sciences1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://jiki.cs.ui.ac.id/index.php/jiki/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">MULTI OBJECTIVES FUZZY ANT COLONY OPTIMIZATION DESIGN OF SUPPLY PATH SEARCHING</dc:title>
	<dc:creator>Utama, Ditdit N</dc:creator>
	<dc:creator>Djatna, Taufik</dc:creator>
	<dc:creator>Hambali, Erliza</dc:creator>
	<dc:creator>., Marimin</dc:creator>
	<dc:creator>Kusdiana, Dadan</dc:creator>
	<dc:subject xml:lang="en-US">desain fuzzy ant colony optimization</dc:subject>
	<dc:subject xml:lang="en-US">multi objectives fuzzy ant colony optimization desgindesign</dc:subject>
	<dc:subject xml:lang="en-US">pencarian jalur supply</dc:subject>
	<dc:subject xml:lang="en-US">supply chain management</dc:subject>
	<dc:subject xml:lang="en-US">supply path searching</dc:subject>
	<dc:description xml:lang="en-US">One of problem faced in supply chain management is path searching. The best path depend not only on distance, but also other variables, such as: the quality of involved companies, quality of delivered product, and other value resulted by quality measurement. Commonly, the ant colony optimization could search the best path that has only one objective path. But it would be difficult to be adopted, because in the real case, the supply path has multi path and objectives (especially in palm oil based bioenergy supply). The objective of this paper is to improve the ant colony optimization for solving multi objectives based supply path problem by using fuzzy ant colony optimization. The developed multi objectives fuzzy ant colony optimization design was explained here, that it was used to search the best supply path.

Salah satu masalah yang dihadapi dalam Supply Chain Management adalah pencarian jalur. Jalur terbaik tidak hanya tergantung pada jarak, tetapi juga variabel lain, seperti: kualitas perusahaan yang terlibat, kualitas produk yang dikirimkan, dan nilai lain yang dipengaruhi oleh pengukuran kualitas. Umumnya, Ant Colony Optimization bisa mencari jalur terbaik yang hanya memiliki satu jalur objektif. Tapi akan sulit untuk diadopsi, karena dalam kasus nyata, jalur supply memiliki banyak jalur dan tujuan (khususnya pasokan minyak kelapa sawit berbasis bioenergi). Tujuan dari penelitian ini adalah untuk meningkatkan Ant Colony Optimization dalam menyelesaikan masalah jalur supply dengan menggunakan Fuzzy Ant Colony Optimization. Tujuan pengembangan Fuzzy Ant Colony Optimization dijelaskan disini, yaitu digunakan untuk mencari jalur supply terbaik.</dc:description>
	<dc:publisher xml:lang="en-US">Faculty of Computer Science  - Universitas Indonesia</dc:publisher>
	<dc:date>2012-07-29</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:identifier>https://jiki.cs.ui.ac.id/index.php/jiki/article/view/194</dc:identifier>
	<dc:identifier>10.21609/jiki.v5i2.194</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Ilmu Komputer dan Informasi; Vol. 5 No. 2 (2012): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information); 89-97</dc:source>
	<dc:source>2502-9274</dc:source>
	<dc:source>2088-7051</dc:source>
	<dc:source>10.21609/jiki.v5i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://jiki.cs.ui.ac.id/index.php/jiki/article/view/194/292</dc:relation>
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