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	Planowanie agregatowe	Planowanie Potrzeb Materiałowych	Model SCOR
Dziedzina	Zarządzanie operacyjne	Zarządzanie operacyjne	Zarządzanie operacyjne
Rodzina	Machine learning	Machine learning	Machine learning
Rok powstania	1992	1975	1996
Twórca	Wallace, T. F.	Joseph Orlicky	Pittiglio, Rabin, Todd & McGrath
Typ	Demand-supply planning framework	Material planning algorithm	Supply chain reference framework
Źródło pierwotne	Wallace, T. F. (1992). Sales & Operations Planning: The how-to handbook. Cincinnati: APICS Publications.	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.
Inne nazwy	sales and operations planning, production planning	MRP, MRP I	—
Pokrewne	5	5	5
Podsumowanie	Aggregate Planning (or Sales & Operations Planning, S&OP) is a collaborative, iterative process that balances demand and supply at a high level—typically grouping products into families and planning over a 3–18 month horizon. Developed formally by Tom Wallace and popularized through APICS, aggregate planning helps organizations align sales forecasts, production capacity, inventory, and workforce to meet demand efficiently while managing costs. It serves as the bridge between strategic business plans and detailed operational execution.	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.