| ชื่อเรื่อง | : | Supply chain flexibility assessment by multivariate regression and neural networks |
| นักวิจัย | : | Jeeva, Ananda. , Guo, Wanwu. |
| คำค้น | : | Regression analysis. , Applied research. , 890205 Information Processing Services (incl. Data Entry and Capture) , 910211 Supply and Demand. , 910404 Productivity (excl. Public Sector) , 080105 Expert Systems. , 080108 Neural, Evolutionary and Fuzzy Computation. , 150309 Logistics and Supply Chain Management. , Neural networks (Computer science) , Multivariate analysis. , Business logistics. , Neural network -- Supply chain -- Flexibility -- Multivariate regression |
| หน่วยงาน | : | Central Queensland University, Australia |
| ผู้ร่วมงาน | : | - |
| ปีพิมพ์ | : | 2553 |
| อ้างอิง | : | http://hdl.cqu.edu.au/10018/56156 |
| ที่มา | : | Jeeva, A & Guo, W 2010, 'Supply chain flexibility assessment by multivariate regression and neural networks' in Z Zeng & J Wang (eds.) Advances in Neural Network Research and Applications, International Symposium on Neural Networks (ISNN 2010), June 6-9, 2010, Shanghai, China, Springer-Verlag, Berlin Heidelberg, Germany, pp. 845-852, http://dx.doi.org/10.1007/978-3-642-12990-2 |
| ความเชี่ยวชาญ | : | - |
| ความสัมพันธ์ | : | Advances in Neural Network Research and Applications, International Symposium on Neural Networks (ISNN 2010), June 6-9, 2010, Shanghai, China / Z. Zeng & J. Wang (eds.). Berlin Heidelberg, Germany : Springer-Verlag, 2010. p. 845-852 8 pages Refereed 1876-1100 9783642129896 , ACQUIRE [electronic resource] : Central Queensland University Institutional Repository. |
| ขอบเขตของเนื้อหา | : | - |
| บทคัดย่อ/คำอธิบาย | : | This paper compares two vastly different methods of analysis – multiple regression and neural networks, in supply chain flexibility assessment. Data of manufacturing firms evaluating their prominent suppliers were analysed by multiple regression and simulated using three-layer multilayer perceptron (MLP) neural networks. Our study shows that NN can accurately determine a supplier’s flexibility capability within an error of 1% The incorporation of these two methods can lead to better understanding and dynamic prediction of supply chain flexibility for buyers. |
| บรรณานุกรม | : |
Jeeva, Ananda. , Guo, Wanwu. . (2553). Supply chain flexibility assessment by multivariate regression and neural networks.
กรุงเทพมหานคร : Central Queensland University, Australia. Jeeva, Ananda. , Guo, Wanwu. . 2553. "Supply chain flexibility assessment by multivariate regression and neural networks".
กรุงเทพมหานคร : Central Queensland University, Australia. Jeeva, Ananda. , Guo, Wanwu. . "Supply chain flexibility assessment by multivariate regression and neural networks."
กรุงเทพมหานคร : Central Queensland University, Australia, 2553. Print. Jeeva, Ananda. , Guo, Wanwu. . Supply chain flexibility assessment by multivariate regression and neural networks. กรุงเทพมหานคร : Central Queensland University, Australia; 2553.
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