Professor of School of Engineering, Design and Built Environment, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.
Abstract—In a manufacturing company some part are vital from production point of view, but inventory value of these parts are very high, so we cannot keep too much safety stock for that type of part but unavailability of these parts will stop the production. But in uncertain environment, when the lead-time of acquisition is highly variable, we have to keep safety stock of such items. Kanban is one of the Major elements of Lean manufacturing System. It supports the Just-In-Time Manufacturing. There are various types of production control techniques including Kanban control, which authorized the production on pull basis. By making sound inventory control strategies an applying suitable Kanban, we can reduce Inventory carrying cost of those item which are critical from production point of view but also have high inventory carrying cost. The lead-time of raw material for those items is also highly uncertain. This project deals with the inventory control of high value added finished product. The lead-time of raw material for this item is highly uncertain, so for preventing the inventory carrying cost, a suitable Kanban system can be used. A competitive matrix has been developed to decide for which high value item the material Kanban system will be suitable. This approach would be more suitable for batch production and according to the nature of organization. The matrix has been drawn on the basis of XYZ and VED analysis, by considering various factors according to the problem
Index Terms—Kanban System, Lean manufacturing
Cite: Ravi Upadhyay and C B Bhatkar, "Study & Evaluation of Incorporation of Material Kanban in Kanban Control System in Lean Manufacturing System," International Journal of Mechanical Engineering and Robotics Research, Vol. 3, No. 3, pp. 134-140, July 2014.
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