An application of Artificial Neural Network solution in the apparel industry for Job distribution to subcontractors

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Mumcu Y. K., KAYAR M., Bulur O. C.

ADVANCES IN ENGINEERING SOFTWARE, cilt.174, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 174
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1016/j.advengsoft.2022.103325
  • Dergi Adı: ADVANCES IN ENGINEERING SOFTWARE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Applied Science & Technology Source, Communication Abstracts, Compendex, Computer & Applied Sciences, INSPEC, Metadex, zbMATH, Civil Engineering Abstracts
  • Anahtar Kelimeler: Apparel industry, Artificial Neural Network, Back propagation algorithm, TOPSIS, Job distribution, Multi Criteria Decision Making (MCDM), NEEDLE PENETRATION FORCE, PREDICTION, PERFORMANCE, FABRICS, STRENGTH, SYSTEM
  • Marmara Üniversitesi Adresli: Evet

Özet

In this study, the results of the work distribution made with the TOPSIS method, which is frequently used in the distribution of work to the subcontractor workshops, were estimated using the Artificial Neural Networks Method (ANN). Here, the C* values used in the work distribution with the TOPSIS method were estimated by ANN. The correlation coefficient of the data obtained from the created model was found to be 99.99895% for learning. According to the results, it has been concluded that work distribution can be made by using the ANN method without making complex mathematical calculations in the distribution of work to the contract workshops.