Hybrid decision technique for supplier selection

The aim of the hybrid decision technique for supplier allocation is to help corporate decision makers who are faced with making numerous and conflicting evaluations to decide on the choice of supplier for business collaboration, follow by recommending splitting order quantities obtained under the...

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Main Author: Tan, Keng Guan.
Other Authors: Goh Eck Soong, Angela
Format: Final Year Project
Language:English
Published: 2010
Subjects:
Online Access:http://hdl.handle.net/10356/39923
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-399232023-03-03T20:32:21Z Hybrid decision technique for supplier selection Tan, Keng Guan. Goh Eck Soong, Angela School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computer applications The aim of the hybrid decision technique for supplier allocation is to help corporate decision makers who are faced with making numerous and conflicting evaluations to decide on the choice of supplier for business collaboration, follow by recommending splitting order quantities obtained under the limitations from supplier such as capacity, procurement criteria and user‐specified constraints. There is an appeal for effective supplier‐selection as it helps corporation to build business competitive advantage and pull off strong attainment in interrelated corporate objective. Currently, the multiple criteria decision making techniques of cognitive advisor system that are implemented during previous final year projects could neither consider supplier capacities and constraints nor handle the order allocation. Hence, the project propose to develop a multiple objective programming model based on a multiple criteria decision making context to provide a systematic and rational approach for performing supplier‐selection and order splitting. To implement a dependable and viable technique, the author reviewed the use of Matlab optimization solvers, nonetheless ultimately developing a customized branch and bound algorithm for solving the devised model. Bachelor of Engineering (Computer Engineering) 2010-06-08T02:46:12Z 2010-06-08T02:46:12Z 2010 2010 Final Year Project (FYP) http://hdl.handle.net/10356/39923 en Nanyang Technological University 70 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Computer applications
spellingShingle DRNTU::Engineering::Computer science and engineering::Computer applications
Tan, Keng Guan.
Hybrid decision technique for supplier selection
description The aim of the hybrid decision technique for supplier allocation is to help corporate decision makers who are faced with making numerous and conflicting evaluations to decide on the choice of supplier for business collaboration, follow by recommending splitting order quantities obtained under the limitations from supplier such as capacity, procurement criteria and user‐specified constraints. There is an appeal for effective supplier‐selection as it helps corporation to build business competitive advantage and pull off strong attainment in interrelated corporate objective. Currently, the multiple criteria decision making techniques of cognitive advisor system that are implemented during previous final year projects could neither consider supplier capacities and constraints nor handle the order allocation. Hence, the project propose to develop a multiple objective programming model based on a multiple criteria decision making context to provide a systematic and rational approach for performing supplier‐selection and order splitting. To implement a dependable and viable technique, the author reviewed the use of Matlab optimization solvers, nonetheless ultimately developing a customized branch and bound algorithm for solving the devised model.
author2 Goh Eck Soong, Angela
author_facet Goh Eck Soong, Angela
Tan, Keng Guan.
format Final Year Project
author Tan, Keng Guan.
author_sort Tan, Keng Guan.
title Hybrid decision technique for supplier selection
title_short Hybrid decision technique for supplier selection
title_full Hybrid decision technique for supplier selection
title_fullStr Hybrid decision technique for supplier selection
title_full_unstemmed Hybrid decision technique for supplier selection
title_sort hybrid decision technique for supplier selection
publishDate 2010
url http://hdl.handle.net/10356/39923
_version_ 1759854136167235584