Result: Design of an intelligent supplier knowledge management system - : an integrative approach

Title:
Design of an intelligent supplier knowledge management system - : an integrative approach
Authors:
CHOV, K. L, TAN, K. H, CHAN, F. T. S
Source:
Proceedings of the Institution of Mechanical Engineers. Part B. Journal of engineering manufacture. 221(2):195-211
Publisher Information:
London: Mechanical Engineering Publications, 2007.
Publication Year:
2007
Physical Description:
print, 43 ref
Original Material:
INIST-CNRS
Subject Terms:
Mechanical engineering, Génie mécanique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Recherche operationnelle. Gestion, Operational research. Management science, Recherche opérationnelle et modèles formalisés de gestion, Operational research and scientific management, Logistique, Logistics, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Logiciel, Software, Organisation des mémoires. Traitement des données, Memory organisation. Data processing, Traitement des données. Listes et chaînes de caractères, Data processing. List processing. Character string processing, Systèmes d'information. Bases de données, Information systems. Data bases, Genie mecanique. Construction mecanique, Mechanical engineering. Machine design, Généralités, General, Base donnée multidimensionnelle, Multidimensional database, Base dato multidimensional, Coût, Costs, Coste, En ligne, On line, En línea, Externalisation, Outsourcing, Fournisseur, Supplier, Proveedor, Gestion mémoire, Storage management, Gestión memoria, Ingénierie connaissances, Knowledge engineering, Intelligence artificielle, Artificial intelligence, Inteligencia artificial, Logistique, Logistics, Logística, Raisonnement basé sur cas, Case based reasoning, Razonamiento fundado sobre caso, Réseau neuronal, Neural network, Red neuronal, Sous traitance, Subcontracting, Subcontratación, Système intelligent, Intelligent system, Sistema inteligente, Traitement donnée, Data processing, Tratamiento datos, artificial neural networks, case-based reasoning, on-line analytical processing, supplier and knowledge management
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Kowloon, Hong-Kong
Nottingham University Business School, University of Nottingham, Nottingham, United Kingdom
Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Hong-Kong
ISSN:
0954-4054
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=18757330
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems

Mechanical engineering. Mechanical construction. Handling

Operational research. Management
Accession Number:
edscal.18757330
Database:
PASCAL Archive

Further Information

The drive to cut costs continually and focus on core competencies has driven many companies to outsource some or all of their production. Unlike the past, companies can no longer concentrate only on their own internal business operations, but have to work with customers and suppliers effectively and efficiently. The integration of customer demand and supplier capability to facilitate supplier management using data mining and artificial intelligence technologies has become a promising solution for outsourced-type companies in outsourcing manufacturing operations to suitable suppliers. The result is to form a supply network on which they depend on the provision of products and services. In this paper, a supplier knowledge management system (SKMS) is introduced for such a purpose. By using its hybrid on-line analytical processing (OLAP)/artificial neural networks (ANNs)/case-based reasoning (CBR) approach in predicting future customer demands and allocating suitable suppliers during the order fulfilment process, it is found that the overall efficiency in the whole supply chain is greatly enhanced. A case study using the SKMS to integrate the order subcontracting system of Farnell Newark-InOne (Shanghai) Limited is presented. Through the use of the SKMS, the demand of customers is related to the supplier's capabilities both efficiently and effectively while, at the same time, valuable supplier knowledge is also accumulated by the company.