Inventory, Industrial Engineering | Topper Handwritten Notes & Videos for GATE ME - Mechanical Engineering PDF Download

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FAQs on Inventory, Industrial Engineering - Topper Handwritten Notes & Videos for GATE ME - Mechanical Engineering

1. What is inventory management?
Ans. Inventory management refers to the process of overseeing and controlling the flow of goods, materials, and products within a business. It involves monitoring the levels of inventory, tracking stock movements, and ensuring that sufficient quantities of items are available to meet customer demand.
2. What are the key objectives of inventory management?
Ans. The key objectives of inventory management are to ensure adequate stock levels to meet customer demand, minimize holding costs, reduce stockouts and backorders, optimize order quantities, improve cash flow, and enhance overall operational efficiency.
3. How can industrial engineering contribute to effective inventory management?
Ans. Industrial engineering plays a critical role in effective inventory management by applying various techniques and methodologies to optimize inventory levels and processes. This includes analyzing demand patterns, implementing forecasting models, determining economic order quantities, designing efficient storage and retrieval systems, and implementing inventory control systems.
4. What are some common inventory control techniques used in industrial engineering?
Ans. Some common inventory control techniques used in industrial engineering include ABC analysis, Just-in-Time (JIT) inventory management, Economic Order Quantity (EOQ) calculations, safety stock determination, material requirements planning (MRP), and vendor-managed inventory (VMI) systems.
5. How can industrial engineers help in reducing inventory costs?
Ans. Industrial engineers can help in reducing inventory costs by implementing efficient inventory management strategies. This includes optimizing order quantities to minimize holding costs, identifying and eliminating unnecessary inventory, improving demand forecasting accuracy, implementing lean manufacturing principles, and streamlining supply chain processes to reduce lead times and carrying costs.
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