UZUN ARAZ, Özlem Celal Bayar Üniversitesi - Mühendislik Fakültesi - Endüstri Mühendisliği Bölümü, Türkiye , ARAZ, Ceyhun Celal Bayar Üniversitesi - Mühendislik Fakültesi - Endüstri Mühendisliği Bölümü, Türkiye , ESKİ, Özgür Celal Bayar Üniversitesi - Mühendislik Fakültesi - Endüstri Mühendisliği Bölümü, Türkiye

Determining the number of kanbans for dynamic production systems: An integrated methodology

40829

Just-in-time (JIT) is a management philosophy that reduces the inventory levels and eliminates manufacturing wastes by producing only the right quantity at the right time. A kanban system is one of the key elements of JIT philosophy. Kanbans are used to authorize production and to control movement of materials in JIT systems. In Kanban systems, the efficiency of the manufacturing system depends on several factors such as number of kanbans, container size etc. Hence, determining the number of kanbans is a critical decision in Kanban systems. The aim of this study is to develop a methodology that can be used in order to determine the number of kanbans in a dynamic production environment. In this methodology, the changes in system state is monitored in real time manner, and the number of the kanbans are dynamically re-arranged. The proposed methodology integrates simulation, neural networks and Mamdani type fuzzy inference system. The methodology is modelled in simulation environment and applied on a hypothetic production system. We also performed several comparisons for different control policies to show the effectiveness of the proposed methodology.

285

Kanban manufacturing systems , Simulation , Artificial neural networks , Fuzzy inference systems

Pamukkale University Journal Of Engineering Sciences

296