The Economic Order Quantity (EOQ) Model is a fundamental Indian mathematical model used to determine the optimal quantity of inventory to order at a time to minimize total inventory costs.

The Materials Requirement Planning (MRP) Model aims to schedule production and procurement activities efficiently to ensure that the right materials are available at the right time and in the right quantity.

The Just-in-Time (JIT) Model focuses on minimizing inventory holding costs by producing and delivering products only when they are needed.

The Distribution Resource Planning (DRP) Model is used to allocate inventory across distribution centers to ensure efficient and timely delivery of products to customers.

The Inventory Control Model with Deteriorating Items is designed to manage perishable goods in supply chains, taking into account the deterioration rate of the items over time.

The Multi-Echelon Inventory Model aims to minimize total inventory costs across multiple levels of the supply chain, considering factors such as inventory holding costs, transportation costs, and demand patterns.

The Single-Period Inventory Model is suitable for scenarios where demand is uncertain and variable, and the objective is to determine the optimal quantity to order to minimize total costs.

The Newsvendor Model assumes that unsold items can be salvaged at a reduced price, making it applicable to situations where there is a risk of overstocking.

The Transportation Model is a fundamental Indian mathematical model used to optimize the allocation of resources, such as products or materials, between different locations in a supply chain network.

The Assignment Model aims to assign tasks to resources efficiently, considering factors such as resource capabilities and task requirements, to optimize resource utilization.

The Transshipment Model is designed for supply chain scenarios where products are shipped between multiple locations, allowing for transshipments between locations to optimize transportation costs and inventory levels.

The Minimum Cost Flow Model aims to optimize the flow of goods through a supply chain by determining the most cost-effective routes and quantities to ship products between different locations.

Simulation Modeling is a powerful Indian mathematical model used to analyze and improve the performance of supply chain networks by simulating real-world scenarios and experimenting with different strategies.

Game Theory is used in supply chain management to analyze competitive interactions between supply chain partners, such as suppliers, manufacturers, and distributors, to understand their strategic behaviors and make informed decisions.

Markov Chains are used in supply chain management to model dynamic supply chain processes, such as inventory levels, production schedules, and customer demand, to understand the evolution of the system over time.