Which inventory model determines the optimal order quantity to minimize cost?

Which inventory model determines the optimal order quantity to minimize cost?

• A. Just-In-Time Inventory
• B. Economic Order Quantity
• C. Kanban System
• D. Batch Ordering

Answer: (B)

Minimizing total cost by choosing how much to order each time. The Economic Order Quantity model asks what quantity to order so the sum of ordering (or setup) costs and holding costs is as low as possible. The key idea is balancing two opposing cost forces: ordering more often raises fixed ordering costs, while ordering in larger batches raises carrying costs for the extra inventory on hand. The EOQ formula, typically written as sqrt(2DS/H), captures this balance, where D is annual demand, S is the cost to place an order, and H is the annual holding cost per unit. When demand or ordering costs rise, the optimal order quantity increases; when holding costs rise, it decreases. This approach assumes steady demand, fixed lead times, no quantity discounts, and immediate replenishment, which lets the model pinpoint a single optimal quantity. Other strategies focus on different aims. Just-In-Time inventory reduces on-hand inventory and waste by coordinating flow tightly with production; the Kanban system uses signals to trigger replenishment; batch ordering involves larger, fixed lot sizes without optimizing total cost.

Minimizing total cost by choosing how much to order each time. The Economic Order Quantity model asks what quantity to order so the sum of ordering (or setup) costs and holding costs is as low as possible. The key idea is balancing two opposing cost forces: ordering more often raises fixed ordering costs, while ordering in larger batches raises carrying costs for the extra inventory on hand. The EOQ formula, typically written as sqrt(2DS/H), captures this balance, where D is annual demand, S is the cost to place an order, and H is the annual holding cost per unit. When demand or ordering costs rise, the optimal order quantity increases; when holding costs rise, it decreases. This approach assumes steady demand, fixed lead times, no quantity discounts, and immediate replenishment, which lets the model pinpoint a single optimal quantity.

Other strategies focus on different aims. Just-In-Time inventory reduces on-hand inventory and waste by coordinating flow tightly with production; the Kanban system uses signals to trigger replenishment; batch ordering involves larger, fixed lot sizes without optimizing total cost.