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Determining supply chain flexibility using statistics and neural networks : a comparative study

หน่วยงาน Central Queensland University, Australia

รายละเอียด

ชื่อเรื่อง : Determining supply chain flexibility using statistics and neural networks : a comparative study
นักวิจัย : Jeeva, Ananda. , Guo, Wanwu.
คำค้น : Applied research. , 890205 Information Processing Services (incl. Data Entry and Capture). , 900201 Administration and Business Support Services. , 080105 Expert Systems. , 080108 Neural, Evolutionary and Fuzzy Computation. , 080110 Simulation and Modelling. , 150309 Logistics and Supply Chain Management. , Neural networks (Computer science) , Business logistics. , Neural network -- Supply chain -- Flexibility -- Multivariate regression
หน่วยงาน : Central Queensland University, Australia
ผู้ร่วมงาน : -
ปีพิมพ์ : 2552
อ้างอิง : http://hdl.cqu.edu.au/10018/43882 , http://dx.doi.org/10.1109/NSS.2009.87 , cqu:5626
ที่มา : Jeeva, A & Guo, W 2009, 'Determining supply chain flexibility using statistics and neural networks: a comparative study' in Zhou, W (ed.) Proceedings of the 2009 Third International Conference on Network and System Security. Gold Coast, Qld, 19th - 21st October, 2009, pp. 506-509 (online IEEE).http://dx.doi.org/10.1109/NSS.2009.87 (viewed 27/4/10)
ความเชี่ยวชาญ : -
ความสัมพันธ์ : Proceedings of the 2009 Third International Conference on Network and System Security, Gold Coast, Australia, 19-21 October, 2009. Los Alamitos, USA. : IEEE Computer Society, 2009. p. 506-509 4 pages Refereed 9780769538389 , ACQUIRE [electronic resource] : Central Queensland University Institutional Repository.
ขอบเขตของเนื้อหา : -
บทคัดย่อ/คำอธิบาย :

The purpose of this paper is to examine the application of neural networks as a flexibility and performance measure in supplier-manufacturer activities. The dimensions of information exchange, supplier integration, product delivery, logistics, and organisational structure are used as determinants factors affecting this supply chain flexibility. The data set was collected from more than 200 Australian manufacturing firms evaluating their suppliers. Our study shows that neural networks can accurately determine a supplier’s flexibility with an error within 1%, which is more accurate than the conventional multivariate regression can.

บรรณานุกรม :
Jeeva, Ananda. , Guo, Wanwu. . (2552). Determining supply chain flexibility using statistics and neural networks : a comparative study.
    กรุงเทพมหานคร : Central Queensland University, Australia.
Jeeva, Ananda. , Guo, Wanwu. . 2552. "Determining supply chain flexibility using statistics and neural networks : a comparative study".
    กรุงเทพมหานคร : Central Queensland University, Australia.
Jeeva, Ananda. , Guo, Wanwu. . "Determining supply chain flexibility using statistics and neural networks : a comparative study."
    กรุงเทพมหานคร : Central Queensland University, Australia, 2552. Print.
Jeeva, Ananda. , Guo, Wanwu. . Determining supply chain flexibility using statistics and neural networks : a comparative study. กรุงเทพมหานคร : Central Queensland University, Australia; 2552.