Quantitative Methods In Supply Chain Management... -
: Extrapolates historical patterns using methods like moving averages, exponential smoothing, and ARIMA models.
: Solving location/allocation problems and optimizing vehicle routing to ensure products reach the right place at the minimum cost.
: Using simulations like Monte Carlo analysis to quantify the impact of potential disruptions, such as supplier failures or price volatility. Quantitative Methods in Supply Chain Management...
: Uses algorithms (e.g., linear programming, Branch-and-Bound) to find the most efficient use of resources. It is frequently applied to minimize total costs in network design and resource allocation.
: Utilizes formulas such as Economic Order Quantity (EOQ) and safety stock calculations to balance the cost of holding inventory against the risk of stockouts. Key Areas of Application : Extrapolates historical patterns using methods like moving
: Relates demand to external drivers like GDP, fuel prices, or interest rates.
: Analyzing sales data, seasonality, and trends to set production and procurement targets. : Uses algorithms (e
Quantitative methods are applied across the entire value chain to enhance performance: