Publication:
A Decision Making Model for the Evaluation of Supply Chain Execution and Management Systems

dc.contributor.authorVAYVAY, ÖZALP
dc.contributor.authorsApak, Sinan; Vayvay, Ozalp; Feyzioglu, Orhan
dc.date.accessioned2022-03-14T10:54:39Z
dc.date.accessioned2026-01-11T06:09:39Z
dc.date.available2022-03-14T10:54:39Z
dc.date.issued2013
dc.description.abstractA Supply Chain Execution and Management (SCEM) system is an enterprise application that integrates all of the necessary supply chain functions into a single system. These functions range from common ones such as warehouse and transportation management to less known ones such as demand management. In order to execute and manage the supply chain processes successfully, organisations need a comprehensive evaluation approach to determine the most suitable system. The evaluation of an SCEM system involves numerous decision making criteria. Moreover, it is usually characterised with uncertainty and vagueness since it is very difficult to rate SCEM system alternatives with exact terms. To cope with this problem, a fuzzy logic-based approach is developed in this study. This approach main integrates the Fuzzy Analytic Hierarchy Process to weight the decision criteria and the Fuzzy Technique for Order Preference by Similarity to Ideal Solution to rate alternatives. A real life example is provided to demonstrate the capability of the proposed approach.
dc.identifier.doi10.1080/18756891.2013.769767
dc.identifier.eissn1875-6883
dc.identifier.issn1875-6891
dc.identifier.urihttps://hdl.handle.net/11424/245432
dc.identifier.wosWOS:000315375000008
dc.language.isoeng
dc.publisherATLANTIS PRESS
dc.relation.ispartofINTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectSupply Chain Execution and Management System
dc.subjectF-MADM
dc.subjectF-AHP
dc.subjectF-TOPSIS
dc.subjectBUSINESS
dc.titleA Decision Making Model for the Evaluation of Supply Chain Execution and Management Systems
dc.typearticle
dspace.entity.typePublication
oaire.citation.endPage306
oaire.citation.issue2
oaire.citation.startPage293
oaire.citation.titleINTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS
oaire.citation.volume6

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