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)
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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. |
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 |
No. Panggil | No. Barkod | Ketersediaan |
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658 JIPE 35:8 (2018) | 03-19-675612613 | TERSEDIA |
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