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KPIs (Key Performance Indicators)
Inventory Turnover
Lead Time
Cycle Time
Fill Rate
On-time Delivery
On-time In-full
Stockouts
Safety Stock
Cycle Counting
Inventory Turnover
a KPI ratio that measures how quickly a company sells its product and restocks it (replaces it) in a given period
Factors affecting inventory turnover
Seasonal fluctuations
Pricing strategies
Demand forecasting accuracy
Supplier reliability
The need to reduce holding costs
Higher inventory turnover indicates…
more efficient inventory management and sales
Lower inventory turnover indicates…
excess inventory, weak demand, or inconsistencies in purchasing or forecasting
Lead Time
a KPI measuring the time between the start and completion of an entire process (order to delivery)
Shorter lead times…
can boost productivity and revenues by streamlining (simplifying/ making more efficient) operations
Longer lead times…
can hinder sales and operation effectiveness
Factors that affect lead time
Timely stock replenishments
Minimizing production interruptions (better safety and protocols)
Improved communication
Automation
Ordering in smaller batches
Cycle Time
a KPI measuring the time required to complete one interaction of a process or task in a supply chain
Focuses on the actual time spent on value-adding activities, excluding wait or idle times between stages
Cycle Time
Allows organizations to identify and optimize individual process efficiencies and reducing the time it takes to complete a specific task
Cycle Time
Factors that affect cycle time
Order processing speed
Available inventory
Accurate demand forecasting
Warehouse operation efficiency (time taken for product to move)
Shipping method and delays
Supply chain visibility
Fill Rate
a KPI that is the percentage of customers whose orders can be immediately fulfilled by available inventory stock
Fill Rate Formula
(Total orders shipped / total orders places) x 100
Tells you how well you can meet customer demand
Fill Rate
High fill rate indicates…
inventory is meeting customer demand, high supply chain efficiency, and great inventory management
Low fill rate indicates…
inventory is not meeting customer demand requiring better inventory management or purchasing or forecasting, etc…
Factors that affect fill rate
Inventory accuracy (how close physical stock numbers match records and ERP system)
Demand forecasting precision
Supplier reliability
Warehouse efficiency (capacity and management)
On-time Delivery
a KPI percentage metric that measures a company’s ability to deliver products/services within the time frame promised to the customer
On-time delivery formula
(Number of on-time deliveries / total deliveries) x 100
Impacts customer satisfaction, competition, and operational efficiency
On-time Delivery
Factors that affect on-time delivery
Inventory management (maintaining optimal inventory levels)
Order fulfillment process (errors in picking/packing)
Production delays (machinery problems/ inefficient manufacturing process)
Transportation conditions (traffic, weather, vehicle breakdowns)
Stockouts
a KPI indicating when a customer orders an amount that exceeds the amount of inventory available on hand
Factors that affect stockouts
Improper demand forecasting
Supplier delays
Inefficient inventory management
Factors that prevent stockouts
Regular inventory audits
Set a standard inventory level or maintain safety stock level
Utilize FIFO
Better demand forecasting
Safety Stock
a KPI that is extra inventory held as a buffer to prevent stockouts caused by demand surges or supplier issues or forecasting issues
Cycle Counting
a KPI that is an inventory auditing method where a small amount of inventory is counted without handling the entire stock in one go
Time saving effort to take stock of what is currently available in a given warehouse and to check inventory levels for any inaccuracies
Cycle Counting
Purchase Orders
a digital, binding document sent to suppliers that details items sent, price, quantities, and delivery dates
What details are in a purchase order
Items sent
Price
Quantities
Delivery dates
Inventory Records
real time digital files that track every aspect of stock like SKU quantities, storage locations, valuation (value of unsold stock), and movement
What do inventory records provide accurate timely data of
what is in stock
what is sold
what needs to be restocked
Quantity on hand
Reorder points (inventory level that signals need for restocking)
lead time
Item description
SKU management
process of creating, organizing, and tracking SKUs to monitor inventory levels, sales performance, and location in real time
Results of SKU management
Helps automate warehouse processes like receiving and storing
Improves demand forecasting
Reduces storage costs by reducing the risk of holding excess storage
Results of purchase orders
Automates the procurement (sourcing and acquiring goods) process
Improves cash flow visibility
Can be linked with inventory systems to quickly update stock as its sells
LIFO pros
Optimizes and minimizes warehouse storage space for better warehouse efficiency
Ideal for non perishable goods
Tax advantage
LIFO cons
Oldest inventory may sit for too long, causing it to become obsolete (outdated) or damaged
Lower net income on financial statements
FIFO pros
Ideal for perishable goods
Reduces the risk of damaged goods
Results in lower COGS
Ensures product freshness
More accurate inventory valuation
FIFO cons
Requires more complex and larger warehouse management systems
Requires more warehouse space
Supply Chain Visibility
he ability to track, monitor, and analyze every component of a supply chain in real time, from sourcing raw materials to delivery of finished goods
Providing real time insights of inventory levels, production schedules, shipment status, and warehouse management
Supply Chain Visibility
Enhances responsiveness, customer satisfaction, demand forecasting, and inventory optimization
Supply Chain Visibility
Factors that affect supply chain visibility
Data and technology integration (provides end to end transparency and timely accuracy)
Supplier collaboration (sharing of information should not be limited)
Data accuracy
Quality Assurance
a proactive and process oriented approach to prevent defects before they occur ensuring that products, components, and procedures meet quality standards set by the company from raw material sourcing to delivery of finished goods
Factors that affect quality assurance
Supplier performance (inconsistencies in raw materials and quality control)
Regular auditing of suppliers and inventory
Technology (automation, real time tracking)
Risk Management (proactive identifying risks like global and environmental risks)
Standardizing operating procedures
Regular inspections
Proper packaging and storage conditions
Strong and updated training
Warehouse Flow
efficient and systematic movement of goods from receiving to shipping
Core Stages of Warehousing
Receiving (logging goods)
Storing (strategic placement)
Picking (retrieving items)
Packing (preparing for shipment and labeling)
Shipping
Inbound flow
products entered are prepared for storage
Outbound flow
product entered are prepared for distribution
Cross-docking
goods that arrive are immediately prepared for shipment, moving through the warehouse with high urgency and without long term storage
Flow-Thru
items are moved to a temporary storage allowing for value added services
Push flow
products are manufactured based on demand forecasts
Pull flow
a product’s production is only executed if there is a real demand for it (common for goods that require request or personalization)
JIT flow
supplying both raw materials and finished products the moment they are needed. Brings storage stock to a minimum
Synchronized flow
various materials and and parts are supplied as the production process progresses
Core Supply Chain Stages
Planning (demand forecasting)
Sourcing (procurement)
Manufacturing (production)
Storing (Inventory Management)
Transportation
Delivery (logistics)
Returns (Reverse Logistics)
Planning stage
developing a strategy to meet demand
demand forecasting
resource planning
risk management
Sourcing (procurement) stage
selecting vendors
purchasing raw materials
managing supplier relationships (performance evaluation, risk, communication, and strategy of suppliers)
Manufacturing (production) stage
turning raw materials into finished products
testing
packaging
Storing (Inventory management) stage
Storing
warehousing
managing inventory to ensure products are available when needed
Transportation stage
transporting goods from production sites to warehouses or customers
Delivery (Logistics) stage
final delivery of finished goods to the end user
Returns (reverse logistics) stage
handling customer returns
repairs
recycling of products
Accuracy and Quality Metrics
Perfect order rate
Inventory Accuracy
Supplier quality/rating
Return rate/reverse logistics quality
Order fill rate
Perfect Order Rate
an accuracy/quality metric that measures the percentage of orders delivered without errors–on time, complete, damage free, and with accurate data
Inventory Accuracy
an accuracy/quality metric that is the percentage difference between the physical inventory count and the records in the warehouse management system (WMS)
Supplier Quality/Rating
an accuracy/quality metric that evaluates the percentage of incoming materials or products from suppliers that meet quality standards
Return rate/Reverse Logistics Quality
an accuracy/quality metric that tracks the number of returned items due to defects, shipping errors, or damaged goods
TQM (Total Quality Management)
a methodology centered on customer satisfaction
focuses on the total supply chain
requires responsibility and active participation of everyone
Six Sigma
a methodology centered on reducing defects
data driven approach
no more than 3.4 defects per million opportunities
Lean
a methodology centered on eliminating wastes and maximizing efficiency
ISO
a quality management system
focuses on customer needs and continuous improvement
helps organizations manage their processes to consistently deliver high quality products/services by focusing on customer needs and continuous improvement
On-time In-full
a KPI indicating the percentage of orders delivered on the agreed date with all ordered items included
Descriptive analytics
looks at what has already happened. uses historical data to track metrics like inventory levels, labor allocation, and delivery times, providing a baseline view of operations.
Diagnostic analytics
compares data from multiple sources to understand why delays or shortages happened. important for fixing problems instead of just reacting to them.
Predictive analytics
uses statistical models and machine learning to forecast demand, lead times and potential disruptions so teams can know what will happen and plan ahead.
Prescriptive analytics
combines forecasts with optimization models to recommend which actions should be taken. often supported by AI and is used to improve efficiency and adjust costs.