পদ্ধতির তুলনা করুন

	কানবান	উপকরণ আবশ্যকতা পরিকল্পনা	SCOR মডেল
ক্ষেত্র	পরিচালন ব্যবস্থাপনা	পরিচালন ব্যবস্থাপনা	পরিচালন ব্যবস্থাপনা
পরিবার	Machine learning	Machine learning	Machine learning
উদ্ভবের বছর	1950	1975	1996
প্রবর্তক	Taiichi Ohno	Joseph Orlicky	Pittiglio, Rabin, Todd & McGrath
ধরন	Production control system	Material planning algorithm	Supply chain reference framework
মৌলিক উৎস	Ohno, T. (1988). Toyota production system: Beyond large-scale production. Cambridge, MA: Productivity Press.	Orlicky, J. (1975). Material requirements planning: The new way of life in production and inventory management. New York: McGraw-Hill.	Stewart, G. (1997). Supply chain operations reference model: SCOR, logistics information management, Vol. 10 No. 5, pp. 62-74.
অপর নাম	visual management, pull system	MRP, MRP I	—
সম্পর্কিত	5	5	5
সারসংক্ষেপ	Kanban is a pull-based production control system developed by Taiichi Ohno at Toyota in the 1950s that uses visual signals (traditionally cards or bins) to trigger production and movement of materials based on actual demand rather than forecasts. The Japanese word 'kanban' means 'visual card' or 'sign,' and the system operates on the principle that work should flow in response to downstream requirements. Kanban is a foundational element of the Toyota Production System and lean manufacturing, enabling just-in-time production, reduced inventory, and improved flow efficiency.	Material Requirements Planning (MRP) is a computerized system developed by Joseph Orlicky in the 1970s that calculates material requirements based on master production schedules and bill-of-materials data. MRP determines what materials to buy, how much to order, and when to order them to meet production demand while minimizing inventory carrying costs. It became a foundational technology for manufacturing planning and later evolved into manufacturing resource planning (MRP II) and enterprise resource planning (ERP) systems.	The Supply Chain Operations Reference Model is a standardized framework for supply chain management developed by the Supply Chain Council (now APICS) in 1996. SCOR provides a structured approach to identify, evaluate, and improve supply chain processes across organizations, regardless of industry. It integrates planning, sourcing, manufacturing, delivery, and returns into a coherent operational model.