Flexible kanbans to enhance volume flexibility in a JIT environment: a simulation based comparison via ANNs


GÜNERİ A. F. , KUZU A., GÜMÜŞ A.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, cilt.47, sa.24, ss.6807-6819, 2009 (SCI İndekslerine Giren Dergi) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 47 Konu: 24
  • Basım Tarihi: 2009
  • Doi Numarası: 10.1080/00207540802425351
  • Dergi Adı: INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
  • Sayfa Sayıları: ss.6807-6819

Özet

Kanbans play an important role in the information and material flows in a JIT production system. The traditional kanban system with a fixed number of cards does not work satisfactorily in an unstable environment. In the flexible kanban-type pull control mechanism the number of kanbans is allowed to change with respect to the inventory and backorder level. Based on the need for the flexible kanban, a method was proposed by (Husseini, S. M. M., O'Brien, C., and Hosseini, S. T., 2006. A method to enhance volume flexibility in JIT production control. International Journal of Production Economics, 104 (2), 653-665), using an integer linear programming technique, to flexibly determine the number of kanbans for each stage of a JIT production system, minimising total inventory cost for a given planning horizon. Here, the effectiveness of the method proposed by Husseini et al. is examined by a case study and compared with the results for the conventional method of fixed kanban determination. This is also confirmed by a simulation study using artificial neural networks (ANNs). The main aim of this paper is to show the cost advantage for Husseini et al.' s method over the conventional method in fluctuating demand situations, and especially to prove that simulation via ANNs ensures a simplified representation for this method and is time saving.