🏭Intro to Industrial Engineering Unit 4 – Inventory Management Fundamentals
Inventory management is a crucial aspect of industrial engineering, focusing on optimizing the flow of materials through a company's operations. It involves balancing costs, meeting customer demand, and maximizing efficiency in ordering, storing, and using inventory.
This unit covers key concepts like inventory types, metrics, control systems, and forecasting methods. It also explores important models such as Economic Order Quantity (EOQ) and Just-In-Time (JIT), which help businesses minimize costs and improve overall supply chain performance.
Study Guides for Unit 4 – Inventory Management Fundamentals
Involves overseeing and controlling the ordering, storage, and use of components that a company uses in the production of the items it sells
Encompasses the monitoring of inventory from the point of purchase to the final sale of goods
Aims to minimize the cost of holding inventory while maximizing its use
Balances current and future needs with the goal of avoiding stockouts (running out of inventory)
Analyzes inventory to predict future needs, which informs decisions about what to purchase, how much, and when
Utilizes various formulas and methods (EOQ, JIT) to optimize inventory levels and minimize costs
Requires accurate tracking of inventory levels, which can be done manually or through software systems
Plays a critical role in supply chain management and can significantly impact a company's bottom line
Types of Inventory
Raw materials are components or parts used in the production process to create finished goods
Work-in-progress (WIP) inventory refers to partially completed goods in the production process
Includes materials, labor, and overhead costs incurred
WIP is an asset on the balance sheet
Finished goods are completed products ready for sale to customers
Maintenance, Repair, and Operating (MRO) inventory includes supplies used in production that are not part of the final product (lubricants, cleaning supplies)
Buffer or safety stock is extra inventory held to protect against stockouts due to uncertainties in supply and demand
Decoupling inventory is used to allow different stages of the production process to operate independently
Transit inventory is goods currently being moved from one location to another (pipeline inventory)
Key Inventory Metrics
Inventory turnover measures how quickly inventory is sold and replaced, calculated as: Cost of Goods Sold÷Average Inventory
Days of Inventory on Hand (DOH) indicates how long it takes to sell the entire inventory, calculated as: 365÷Inventory Turnover
Inventory accuracy measures the difference between recorded and actual inventory levels
Can be calculated as: (Recorded Inventory−Actual Inventory)÷Recorded Inventory×100
Fill rate measures the percentage of customer orders that are filled from available inventory
Stockout rate is the percentage of times a product is unavailable when a customer order is placed
Inventory carrying cost is the total cost of holding inventory, including capital costs, storage costs, and risk costs
Inventory velocity measures how quickly products move through the supply chain
Inventory Control Systems
Perpetual inventory system continuously updates inventory records as transactions occur
Utilizes technology (barcode scanners, RFID) to track inventory in real-time
Provides up-to-date information for better decision-making
Periodic inventory system updates inventory records at specific intervals (weekly, monthly)
Requires physical counting of inventory at the end of each period
Less accurate than perpetual systems but often less costly
Two-bin system uses two containers for each item, with a reorder placed when the first bin is empty
ABC analysis categorizes inventory based on value and importance
A items are high-value and closely monitored
B items are moderate-value and less closely monitored
C items are low-value and loosely monitored
Economic Order Quantity (EOQ) model determines the optimal order quantity to minimize total inventory costs
Just-In-Time (JIT) system aims to reduce inventory by ordering goods only as needed for production
Demand Forecasting
Involves predicting future customer demand for a product or service
Time-series methods use historical data to identify trends, seasonality, and cyclical patterns
Moving average takes the average of a specified number of past periods
Exponential smoothing assigns greater weight to more recent data points
Causal methods examine the relationship between demand and other variables (price, advertising)
Regression analysis is commonly used to model these relationships
Qualitative methods rely on expert opinions, market research, and customer surveys
Collaborative forecasting involves sharing information among supply chain partners to improve accuracy
Forecast accuracy can be measured using Mean Absolute Deviation (MAD) or Mean Absolute Percentage Error (MAPE)
Forecasting helps businesses make informed decisions about production, staffing, and inventory management
Economic Order Quantity (EOQ)
Determines the optimal order quantity that minimizes total inventory costs
Assumes constant demand, lead time, and ordering and holding costs
Balances the cost of placing an order (ordering cost) with the cost of holding inventory (holding cost)
EOQ formula: Q∗=H2DS
Q∗ is the optimal order quantity
D is the annual demand
S is the ordering cost per order
H is the annual holding cost per unit
Helps determine the Reorder Point (ROP), which is when to place an order to avoid stockouts
ROP formula: ROP=Lead Time Demand+Safety Stock
EOQ model assumes instantaneous replenishment, which may not always be realistic
Inventory Costs
Ordering costs are associated with placing and receiving an order (processing, shipping, handling)
Holding costs are incurred from storing inventory (capital costs, storage costs, insurance, obsolescence)
Often expressed as a percentage of inventory value
Shortage costs result from not having enough inventory to meet customer demand (lost sales, backorders)
Purchase costs are the actual cost of buying the inventory
Quality costs are associated with preventing, detecting, and correcting defective items
Shrinkage costs result from theft, damage, or loss of inventory
Total inventory cost is the sum of all these individual costs
Goal is to minimize total cost while meeting customer demand
Just-In-Time (JIT) and Lean Principles
JIT is a production strategy that aims to reduce inventory and improve efficiency
Goods are ordered and received just as they are needed in the production process
Reduces holding costs and waste but requires precise coordination
Lean principles focus on eliminating waste and creating value for the customer
Waste can include overproduction, waiting, transportation, overprocessing, inventory, motion, and defects
Value Stream Mapping (VSM) is used to visualize the flow of materials and information in a process
Helps identify and eliminate non-value-added activities
Kanban is a scheduling system that uses visual signals to control the flow of materials
Commonly uses cards or containers to signal when more parts are needed
5S is a workplace organization method that emphasizes sort, set in order, shine, standardize, and sustain
Kaizen refers to continuous improvement through small, incremental changes
Involves all employees in identifying and implementing improvements