Machine Selection in a Dairy Product Company with Entropy and SAW Methods Integration
Autor: | Aşkın Özdağoğlu, Enis Yakut, Sezai Bahar |
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Rok vydání: | 2017 |
Předmět: |
Operations research
lcsh:HB71-74 Computer science 020209 energy lcsh:Economics as a science lcsh:Political science 02 engineering and technology Machine selection lcsh:Political science (General) 0202 electrical engineering electronic engineering information engineering Entropy (information theory) 020201 artificial intelligence & image processing Factory Operations management lcsh:JA1-92 lcsh:J |
Zdroj: | Dokuz Eylül Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, Vol 32, Iss 1 (2017) |
ISSN: | 1302-504X |
DOI: | 10.24988/deuiibf.2017321605 |
Popis: | Machine selection is an important and difficult process for the firms, and its results maygenerate more problems than anticipated. In order to find the best alternative, managersshould define the requirements of the factory and determine the necessary criteria. On theother hand, the decision making criteria for choosing the right equipment may varyaccording to the type of the manufacturing facility, market requirements, and consumerassigned criteria. This study aims to find the best machine alternative among the threemachine offerings according to twelve evaluation criteria by integrating entropy methodwith SAW method.Keywords: Production Management, Entropy Method, SAW Method, Machine Selection.https://dergipark.org.tr/tr/download/article-file/627664  |
Databáze: | OpenAIRE |
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