Proceedings of the 6th International Workshop of Advanced Manufacturing and Automation

Vendor Consolidation for a Small Appliance Company

Authors
Fred C.C. Yuen, K.L. Choy, H.Y. Lam
Corresponding Author
Fred C.C. Yuen
Available Online November 2016.
DOI
10.2991/iwama-16.2016.14How to use a DOI?
Keywords
Vendor consolidation, Supplier base reduction, AHP, GA, ANN, Mathematical modelling
Abstract

Vendor consolidation is becoming an important management focus in recent years due to the need to sharpen cost performance to increase competition in the fast changing business environment. Vendor consolidation can assist company to streamline its operation, concentrate buying power and reduce purchase price and transaction cost. This paper proposed an intelligent vendor consolidation support system (VCSS) by integrating Analytical Hierarchical Process (AHP), Genetic Algorithms (GA) and Artificial Neural Network (ANN) to rank vendors according to the predefined elimination criteria and the performance of individual vendors in each area of the criteria. With this ranking of vendors, the vendors with inferior performance will be isolated and eliminated to achieve the target number of vendors.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 6th International Workshop of Advanced Manufacturing and Automation
Series
Advances in Economics, Business and Management Research
Publication Date
November 2016
ISBN
978-94-6252-243-5
ISSN
2352-5428
DOI
10.2991/iwama-16.2016.14How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Fred C.C. Yuen
AU  - K.L. Choy
AU  - H.Y. Lam
PY  - 2016/11
DA  - 2016/11
TI  - Vendor Consolidation for a Small Appliance Company
BT  - Proceedings of the 6th International Workshop of Advanced Manufacturing and Automation
PB  - Atlantis Press
SP  - 75
EP  - 80
SN  - 2352-5428
UR  - https://doi.org/10.2991/iwama-16.2016.14
DO  - 10.2991/iwama-16.2016.14
ID  - Yuen2016/11
ER  -