FUZZY EVALUATION OF ON THE JOB TRAINING ALTERNATIVES IN INDUSTRIAL COMPANIES
2006; Taylor & Francis; Linguagem: Inglês
10.1142/9789812774118_0055
ISSN1087-6545
AutoresGülgün Kayakutlu, Gülçin Büyüközkan, Burçin Can Metin, Sami Ercan,
Tópico(s)Enterprise Management and Information Systems
ResumoApplied Artificial Intelligence, pp. 383-388 (2006) No AccessFUZZY EVALUATION OF ON THE JOB TRAINING ALTERNATIVES IN INDUSTRIAL COMPANIESGÜLGÜN KAYAKUTLU, GÜLÇİN BÜYÜKÖZKAN, BURÇIN CAN METIN and SAMI ERCANGÜLGÜN KAYAKUTLUIstanbul Technical University, Department of Industrial Engineering, 34367 Maçka, İstanbul, Turkeycontact author., GÜLÇİN BÜYÜKÖZKANIndustrial Engineering Department, Galatasaray University, 34357, Ortaköy, İstanbul, Turkey, BURÇIN CAN METINInstitute of Analytical Sciences, Istanbul Commerce University, 34378, Eminönü, İstanbul, Turkey and SAMI ERCANInstitute of Analytical Sciences, Istanbul Commerce University, 34378, Eminönü, İstanbul, Turkeyhttps://doi.org/10.1142/9789812774118_0055Cited by:0 PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail Abstract: This paper presents a combined fuzzy analytic hierarchy process (AHP) and fuzzy goal programming (GP) to determine the preferred compromise solution for Enterprise Resource Planning (ERP) training package selection in terms of value creation by multiple objectives. The problem is formulated to include six primary goals: maximize financial benefits, maximize effective software utilisation, maximize employee satisfaction, minimize cost, minimize training duration and minimize risk of operation. Fuzzy AHP is used to specify judgments about the relative importance of each goal. A case study performed for a small manufacturing company running ERP software training is included to demonstrate the effectiveness of the proposed model. FiguresReferencesRelatedDetails Applied Artificial IntelligenceMetrics History PDF download
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