เปรียบเทียบวิธี

	การจัดการสินค้าคงคลังโดยผู้ขาย	ปรากฏการณ์แส้	การจัดการเส้นทางการขนส่งพร้อมสินค้าคงคลัง
สาขาวิชา	การจัดการการดำเนินงาน	การจัดการการดำเนินงาน	การจัดการการดำเนินงาน
ตระกูล	Machine learning	Machine learning	Machine learning
ปีกำเนิด	2006	1961	2014
ผู้ริเริ่ม	Disney, S. M., & Towill, D. R.	Jay Forrester	Coelho, L. C., Cordeau, J. F., & Laporte, G.
ประเภท	Business and inventory model	Phenomenon and analysis framework	Optimization problem
แหล่งต้นตำรับ	Disney, S. M., & Towill, D. R. (2006). Vendor-managed inventory: A taxonomy of approaches and implications. International Journal of Production Economics, 106(2), 440-456.	Lee, H. L., Padmanabhan, V., & Whang, S. (1997). The bullwhip effect in supply chains. Sloan Management Review, 38(3), 93–102.	Coelho, L. C., Cordeau, J. F., & Laporte, G. (2014). Thirty years of inventory routing. Transportation Research Part B: Methodological, 55, 28-67.
ชื่อเรียกอื่น	VMI, supplier-managed inventory	demand amplification, Forrester effect	IRP, vendor-managed logistics
ที่เกี่ยวข้อง	5	5	5
สรุป	Vendor-Managed Inventory (VMI) is a supply chain arrangement in which the supplier (vendor) has visibility into the customer's inventory levels and assumes responsibility for replenishing inventory to pre-agreed levels. Rather than customers placing orders based on internal forecasts, the supplier monitors actual consumption and triggers replenishment shipments automatically. VMI reduces administrative burden, minimizes stock-outs, improves cash flow (by reducing inventory in the supply chain), and fosters collaboration between supplier and customer.	The Bullwhip Effect is a phenomenon in supply chain management where small fluctuations in end-customer demand cause progressively larger fluctuations in orders as one moves upstream from retail to distributors to manufacturers to suppliers. First formally documented by Jay Forrester in his 1961 system dynamics work, and later popularized by Lee, Padmanabhan, and Whang in 1997, the effect reveals how information delays and ordering strategies amplify demand variability throughout supply chains, leading to excess inventory, inefficient production scheduling, and increased costs.	The Inventory Routing Problem (IRP) is an optimization problem that jointly determines inventory levels at customer locations, delivery routes, and shipment quantities to minimize total logistics and inventory holding costs. Rather than treating inventory management and vehicle routing as separate decisions, IRP recognizes that they are interdependent: larger shipments reduce routing costs but increase inventory holding costs, and vice versa. IRP is solved using mixed-integer programming, heuristics, and metaheuristics, and is a cornerstone of vendor-managed inventory (VMI) programs.