2005
DOI: 10.1016/j.knosys.2004.05.003
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A knowledge-based supplier intelligence retrieval system for outsource manufacturing

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Cited by 140 publications
(64 citation statements)
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“…Choy et al (2002-b) enhanced a CBR-based supplier selection tool by combining the Supplier Management Network (SMN) and the Supplier Selection Workflow (SSW). Choy et al (2005) used CBR to select suppliers in a new product development process.…”
Section: General Supplier Selection Methods In the Literaturementioning
confidence: 99%
See 1 more Smart Citation
“…Choy et al (2002-b) enhanced a CBR-based supplier selection tool by combining the Supplier Management Network (SMN) and the Supplier Selection Workflow (SSW). Choy et al (2005) used CBR to select suppliers in a new product development process.…”
Section: General Supplier Selection Methods In the Literaturementioning
confidence: 99%
“…Those factors are labour and other production inputs, political stability, the attitude of the host government towards foreign investment, host government tax and trade policies, proximity to major markets, access to transportation and the existence of other competitors. Choy et al (2005) stated that good customer-supplier relationships are necessary for an organization to respond to dynamic and unpredictable changes. They considered price, delivery, quality, innovation, technology level, culture, commercial awareness, production flexibility, ease of communication and current reputation when selecting and evaluating suppliers.…”
Section: Outsourcing Decision Criteriamentioning
confidence: 99%
“…The selection of supplier was performed by fulfillment of the defined specification. , Choy and Lee (2003), Choy et al (2003a), Choy et al (2003b), Choy et al (2004), Choy et al (2005) applied the CBR based methodology for supplier selection problem. This approach was similar to the one proposed by , including the framework for supplier selection.…”
Section: 4case Based Reasoning (Cbr)mentioning
confidence: 99%
“…Case based supplier selection and evaluation system (CSSES), Hybrid inductivenearest neighbor CBR approach Choy et al (2005).…”
Section: Método Autoresmentioning
confidence: 99%