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Artikel Jurnal :: Kembali

An optimization model for solving outsourcing supplier selection problem based on particle swarm algorithm

Yibing Li, Kang Ding, Lei Wang, Wenkai Zheng, Zhao Peng, Shunsheng Guo (Taylor and Francis, 2018)

 Abstrak

ABSTRACT
The characteristics of decentralization, diversification, and dynamics of outsourcing resources put forward higher requirements for the supplier selection in manufacturing enterprises. For buildingmaterials equipment manufacturing enterprises, due to the complex product structure, the demand for outsourcing resources is very large. The traditional method is difficult to meet the needs of current outsourcer evaluation and selection. In order to solve the problem, this paper establishes an outsourcing supplier selection model based on the quality, price, delivery time, reliability, and availibility of outsourced suppliers. And then, a hybrid supplier selection algorithm based on Analytic Hierarchy Process AHP and Particle Swarm Optimization PSO is designed in this paper. Finally, the model and algorithm with genetic algorithm GA and ant colony optimization ACO. The experimental results show that the model can effectively improve the effectiveness and reliability of outsourcing supplier selection.

 Metadata

No. Panggil : 658 JIPE 35:8 (2018)
Entri utama-Nama orang :
Entri tambahan-Nama orang :
Penerbitan : Philadelphia: Taylor and Francis, 2018
Sumber Pengatalogan : LibUI eng rda
ISSN : 21681015
Majalah/Jurnal : Journal of Industrial and Production Engineering
Volume : Vol. 35, No. 8, December 2018: Hal. 526-534
Tipe Konten : text
Tipe Media : unmediated
Tipe Carrier : volume
Akses Elektronik :
Institusi Pemilik : Universitas Indonesia
Lokasi : Perpustakaan UI, Lantai 4, R. Koleksi Jurnal
  • Ketersediaan
  • Ulasan
No. Panggil No. Barkod Ketersediaan
658 JIPE 35:8 (2018) 03-19-675612613 TERSEDIA
Ulasan:
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