Jaipur • New Delhi • Bengaluru • Guwahati • Kolkata
: Solving location/allocation problems and optimizing vehicle routing to ensure products reach the right place at the minimum cost.
: Predictive techniques that estimate future demand.
: 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 Quantitative Methods in Supply Chain Management...
: Analyzing sales data, seasonality, and trends to set production and procurement targets.
: Relates demand to external drivers like GDP, fuel prices, or interest rates. Key Areas of Application : Analyzing sales data,
(SCM) involves the use of mathematical modeling, statistical analysis, and algorithmic solvers to optimize the millions of daily decisions—such as what to buy, where to move stock, and at what price—that drive global trade. By leveraging historical data and computational power, these methods aim to reduce subjectivity and improve the financial outcomes of supply chain operations. Core Quantitative Techniques
Ensures supply chain decisions align with business profitability. By leveraging historical data and computational power, these
: Unlike "classic" forecasting that predicts a single number, this method assigns probabilities to all possible futures (e.g., lead times or demand spikes) to better manage uncertainty.
