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, vol.174, 2022 (SCI-Expanded, Scopus) identifier identifier

  • Publication Type: Article / Article
  • Volume: 174
  • Publication Date: 2022
  • Doi Number: 10.1016/j.advengsoft.2022.103325
  • Journal Name: ADVANCES IN ENGINEERING SOFTWARE
  • Journal Indexes: 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
  • Keywords: Apparel industry, Artificial Neural Network, Back propagation algorithm, TOPSIS, Job distribution, Multi Criteria Decision Making (MCDM), NEEDLE PENETRATION FORCE, PREDICTION, PERFORMANCE, FABRICS, STRENGTH, SYSTEM
  • Open Archive Collection: AVESIS Open Access Collection
  • Marmara University Affiliated: Yes

Abstract

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.