Artificial neural network case study: The control of work-in-process inventory in a manufacturing line

Col M., Karlik B.

Proceedings of the 1997 IEEE International Symposium on Industrial Electronics, ISIE. Part 3 (of 3), Guimaraes, Portugal, 7 - 11 July 1997, vol.1, pp.7-11, (Full Text) identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 1
  • City: Guimaraes, Portugal
  • Page Numbers: pp.7-11
  • Manisa Celal Bayar University Affiliated: Yes

Abstract

The work-in-process in a middle-scale shoe factory is investigated. At the manufacturing center, there are five work departments composed of cutting, sewing, hand-leather working, assembling and quality control-packing. In these departments, there are work-in-process because of different processing time and insufficient number of labor-machines. Artificial neural network (ANN) with backpropagation is used for solving this work-in-process problem. The optimum number of labor-machines at work stations are obtained for work-in-process without hindering the production by considering processing times and flow at these work stations.