Advanced Inventory & Manufacturing
Three decades of implementing manufacturing and inventory systems across discrete, process, and mixed-mode environments. From small job shops to Fortune 500 manufacturing operations.
Table of Contents
- Material Requirements Planning (MRP) Mastery
- Bill of Materials (BOM) Management Excellence
- Production Planning and Scheduling
- Work-in-Progress Tracking
- Lot/Serial Number Tracking for Compliance
- Inventory Valuation Methods Deep Dive
- Cycle Counting and Physical Inventory Excellence
Material Requirements Planning (MRP) Mastery
Having implemented MRP systems from the early days of MRP I to today’s advanced MRP II and ERP systems, I’ve learned that successful MRP is 20% software configuration and 80% data accuracy and discipline.
MRP Foundation Setup
Master Production Schedule (MPS) Configuration
MPS Parameters in BigLedger:
Planning Horizon: 52 weeks
Frozen Period: 4 weeks (no changes allowed)
Firm Period: 8 weeks (changes require approval)
Planning Period: 12 weeks (flexible planning)
Time Buckets:
- Weeks 1-4: Daily buckets
- Weeks 5-12: Weekly buckets
- Weeks 13-52: Monthly buckets
MRP Calculation Logic
Net Requirements = Gross Requirements - On Hand - Scheduled Receipts + Safety Stock
Example Product A:
Gross Requirements (Week 5): 1,000 units
On Hand Inventory: 150 units
Scheduled Receipts: 300 units (Week 3)
Safety Stock: 100 units
Net Requirements = 1,000 - 150 - 300 + 100 = 650 units
Advanced MRP Parameters
Lead Time Management
Lead Time Components:
Manufacturing Lead Time:
Queue Time: 2 days (waiting for production)
Setup Time: 0.5 days (machine setup)
Run Time: 3 days (actual production)
Wait Time: 1 day (cooling/drying)
Move Time: 0.5 days (transportation)
Total: 7 days
Purchase Lead Time:
Processing Time: 1 day (PO creation/approval)
Vendor Lead Time: 14 days (supplier delivery)
Receiving Time: 1 day (inspection/put-away)
Total: 16 days
Safety Stock Calculation
Statistical Safety Stock Formula:
SS = Z × σ × √LT
Where:
Z = Service level factor (95% = 1.645)
σ = Standard deviation of demand
LT = Lead time in periods
Example:
Service Level: 95% (Z = 1.645)
Demand Std Dev: 50 units/week
Lead Time: 3 weeks
Safety Stock = 1.645 × 50 × √3 = 142 units
MRP Action Messages
Critical Action Message Types
Action Messages in BigLedger:
1. "Expedite" - Move in planned order receipt
2. "De-expedite" - Move out planned order receipt
3. "Increase Qty" - Increase planned order quantity
4. "Decrease Qty" - Decrease planned order quantity
5. "Cancel" - Cancel planned order
6. "Release" - Convert planned order to firm order
Action Message Processing Workflow
Daily MRP Review Process:
1. Run MRP regeneration (overnight batch)
2. Generate exception reports
3. Review action messages by planner
4. Validate capacity constraints
5. Process high-priority actions first
6. Update planning parameters if needed
7. Communicate changes to production
Multi-Level BOM Explosion
BOM Explosion Example
Product: Bicycle (End Item)
Level 0: Bicycle (1 each)
├── Level 1: Frame Assembly (1 each)
│ ├── Level 2: Frame Tubing (1 each)
│ ├── Level 2: Welding Materials (0.5 kg)
│ └── Level 2: Paint (0.2 liters)
├── Level 1: Wheel Assembly (2 each)
│ ├── Level 2: Rim (1 each)
│ ├── Level 2: Spokes (36 each)
│ ├── Level 2: Hub (1 each)
│ └── Level 2: Tire (1 each)
└── Level 1: Component Kit (1 each)
├── Level 2: Chain (1 each)
├── Level 2: Gears (21 each)
└── Level 2: Brake Assembly (2 each)
MRP Explosion Calculation:
If planning 100 bicycles:
- Frame Tubing: 100 × 1 = 100 each
- Spokes: 100 × 2 × 36 = 7,200 each
- Gears: 100 × 1 × 21 = 2,100 each
Capacity Requirements Planning (CRP)
Work Center Capacity Definition
Work Center: CNC Machine Center
Available Capacity:
Shifts: 2 shifts/day
Hours per Shift: 8 hours
Days per Week: 5 days
Efficiency: 85%
Utilization: 90%
Theoretical Capacity: 2 × 8 × 5 = 80 hours/week
Available Capacity: 80 × 0.85 × 0.90 = 61.2 hours/week
Capacity Load Calculation
Load Calculation Example:
Work Order WO-001:
- Quantity: 500 units
- Setup Time: 2 hours
- Run Time: 0.5 hours/unit
- Total Load: 2 + (500 × 0.5) = 252 hours
Weekly Capacity Planning:
Week 15: Available 61.2 hours, Loaded 58.5 hours ✓ OK
Week 16: Available 61.2 hours, Loaded 75.2 hours ✗ Overload
Week 17: Available 61.2 hours, Loaded 45.3 hours ✓ OK
Bill of Materials (BOM) Management Excellence
BOM accuracy is the foundation of manufacturing success. In my experience, companies with BOM accuracy below 95% struggle with material shortages, excess inventory, and production delays.
BOM Structure Design
Multi-Level BOM Hierarchy
BOM Structure Types:
1. Manufacturing BOM (M-BOM)
- Used for production planning
- Includes manufacturing steps
- Reflects assembly sequence
2. Engineering BOM (E-BOM)
- Design-centric view
- Component specifications
- Engineering change control
3. Service BOM (S-BOM)
- Field service parts
- Replacement components
- Maintenance items
Phantom vs. Regular BOMs
Regular BOM - Wheel Assembly:
Item: WHEEL-001
Make/Buy: Make
Lead Time: 3 days
Components:
- Rim: 1 each
- Spokes: 36 each
- Hub: 1 each
Phantom BOM - Paint Kit:
Item: PAINT-KIT (Phantom)
Make/Buy: Phantom
Lead Time: 0 days
Components:
- Base Paint: 0.8 liters
- Hardener: 0.2 liters
- Thinner: 0.1 liters
BOM Versioning and Change Control
Engineering Change Order (ECO) Process
ECO Workflow:
1. Change Request Initiated
- Requestor: Engineering/Quality/Production
- Reason: Design improvement/Cost reduction/Regulatory
- Impact Analysis: Cost/Schedule/Quality
2. Change Evaluation
- Technical review
- Cost analysis
- Implementation timing
- Obsolete inventory handling
3. Approval Process
- Engineering approval
- Manufacturing approval
- Quality approval
- Customer approval (if required)
4. Implementation
- BOM version update
- Effectivity date setting
- Training execution
- System updates
BOM Effectivity Management
BOM Version Control Example:
Product: Widget A
Current Version: Rev C (Effective: 01-Jan-2024)
Previous Version: Rev B (Effective: 01-Jun-2023 to 31-Dec-2023)
Revision Changes:
Rev B to Rev C:
- Component X123: Removed
- Component Y456: Added (Replacement for X123)
- Component Z789: Quantity changed from 2 to 3
- Labor Operation 30: Time reduced from 15 to 12 minutes
Alternative Components and Substitutions
Substitute Component Setup
Primary Component: Screw-A-001
Alternatives:
- Substitute 1:
Item: Screw-B-002
Substitution Ratio: 1:1
Priority: 1
Effectivity: Always
- Substitute 2:
Item: Screw-C-003
Substitution Ratio: 1:2
Priority: 2
Effectivity: When Primary unavailable
Automatic Substitution Rules:
- Use primary component if available
- If primary < safety stock, check substitute 1
- If substitute 1 unavailable, use substitute 2
- Alert planner of substitution
Co-Products and By-Products
Process Manufacturing BOM Example
Process: Chemical Reaction A
Input Materials:
- Chemical A: 100 kg
- Chemical B: 50 kg
- Catalyst: 2 kg
Output Products:
- Main Product: 120 kg (80% yield)
- Co-Product: 25 kg (valuable secondary product)
- By-Product: 5 kg (minimal value)
- Waste: 2 kg (disposal cost)
Cost Allocation:
Main Product: 75% of total cost
Co-Product: 20% of total cost
By-Product: 3% of total cost
Waste: 2% of total cost
BOM Costing and Analysis
Cost Roll-up Calculation
BOM Cost Analysis - Assembly A:
Material Costs:
Component 1: MYR 25.00
Component 2: MYR 15.50
Component 3: MYR 8.75
Total Material: MYR 49.25
Labor Costs:
Operation 10: 0.5 hours × MYR 30/hour = MYR 15.00
Operation 20: 0.3 hours × MYR 25/hour = MYR 7.50
Total Labor: MYR 22.50
Overhead Costs:
Variable Overhead: 1.5 hours × MYR 20/hour = MYR 30.00
Fixed Overhead: 1.5 hours × MYR 15/hour = MYR 22.50
Total Overhead: MYR 52.50
Total Standard Cost: MYR 124.25
Production Planning and Scheduling
Effective production planning balances customer demand with manufacturing capacity while minimizing costs and maximizing efficiency.
Master Production Schedule (MPS)
MPS Planning Process
MPS Development Steps:
1. Demand Aggregation
- Sales forecasts
- Customer orders
- Service parts demand
- Inter-plant transfers
2. Resource Validation
- Capacity constraints
- Material availability
- Tooling requirements
- Skilled labor availability
3. Schedule Optimization
- Lot sizing optimization
- Setup minimization
- Capacity utilization
- Due date performance
MPS Example Table
Master Production Schedule - Product Family A
Week: 1 2 3 4 5 6 7 8
Forecast: 100 120 110 130 125 140 135 150
Orders: 95 85 65 45 25 10 5 0
MPS: 100 120 110 130 125 140 135 150
Available to Promise (ATP):
Week 1: 100 - 95 = 5 units
Week 2: 120 - 85 = 35 units
Week 3: 110 - 65 = 45 units
Finite vs. Infinite Capacity Scheduling
Infinite Capacity Scheduling
Characteristics:
- Assumes unlimited capacity
- Schedules based on lead times
- Identifies capacity overloads
- Requires manual capacity adjustment
Example Output:
Work Center A (Week 5):
Required Hours: 120
Available Hours: 80
Overload: 40 hours (50% over capacity)
Finite Capacity Scheduling
Characteristics:
- Considers actual capacity constraints
- Automatically reschedules when overloaded
- Provides realistic completion dates
- Optimizes resource utilization
Scheduling Logic:
1. Sort orders by priority
2. Schedule highest priority first
3. Check capacity availability
4. If capacity available, schedule
5. If not available, move to next period
6. Continue until all orders scheduled
Advanced Scheduling Techniques
Theory of Constraints (TOC) Scheduling
TOC Implementation Steps:
1. Identify the Constraint (Bottleneck)
- Work center with highest utilization
- Resource limiting overall throughput
2. Exploit the Constraint
- Maximize constraint utilization
- Minimize setup time on constraint
- Ensure constraint never starved
3. Subordinate Everything Else
- Non-constraints support the constraint
- Buffer before constraint
- Manage flow to constraint
4. Elevate the Constraint
- Add capacity to constraint
- Improve constraint efficiency
- Offload work from constraint
Example:
Constraint: Heat Treatment (40 hours/week capacity)
Non-Constraint: Machining (80 hours/week capacity)
Schedule machining to always feed heat treatment
Maintain 2-day buffer before heat treatment
Never let heat treatment sit idle
Campaign and Batch Production
Campaign Planning for Process Industries
Campaign Schedule - Chemical Plant:
Product A Campaign:
Duration: 2 weeks
Batch Size: 5,000 kg
Batches: 4
Setup Time: 8 hours
Cleaning Time: 16 hours
Product B Campaign:
Duration: 1 week
Batch Size: 3,000 kg
Batches: 3
Setup Time: 4 hours
Cleaning Time: 12 hours
Campaign Sequence Optimization:
1. Minimize changeover times
2. Group similar products
3. Consider shelf life constraints
4. Balance inventory levels
Production Scheduling Optimization
Genetic Algorithm for Job Shop Scheduling
Optimization Parameters:
Objectives:
1. Minimize total completion time (makespan)
2. Minimize total tardiness
3. Maximize resource utilization
4. Minimize work-in-process inventory
Constraints:
1. Precedence constraints (operation sequence)
2. Resource capacity constraints
3. Due date constraints
4. Material availability constraints
Example Results:
Original Schedule: 15 days completion
Optimized Schedule: 12 days completion
Improvement: 20% reduction in makespan
Work-in-Progress Tracking
Accurate WIP tracking is essential for cost control, capacity planning, and customer delivery promises.
WIP Valuation Methods
Standard Costing WIP Valuation
Work Order: WO-2024-001
Product: Assembly X
Quantity: 100 units
Standard Costs:
Material: MYR 50/unit
Labor: MYR 30/unit
Overhead: MYR 40/unit
Total Standard: MYR 120/unit
WIP Calculation by Operation:
Operation 10 (50% complete): MYR 25/unit
Operation 20 (100% complete): MYR 30/unit
Operation 30 (75% complete): MYR 30/unit
Operation 40 (0% complete): MYR 0/unit
Total WIP Value: MYR 85/unit × 100 units = MYR 8,500
Actual Costing WIP Valuation
Actual Costs Incurred:
Materials Issued: MYR 5,200
Labor Hours: 80 hours × MYR 32/hour = MYR 2,560
Overhead Applied: 80 hours × MYR 38/hour = MYR 3,040
Total Actual WIP: MYR 10,800
Completion Percentage: 70%
Expected Total Cost: MYR 10,800 ÷ 0.70 = MYR 15,429
Variance from Standard: MYR 15,429 - MYR 12,000 = MYR 3,429 unfavorable
Operation-Level Tracking
Routing and Operation Setup
Product: Widget A
Routing: RT-001
Operations:
010 - Cut Raw Material:
Work Center: Cutting Center
Setup Time: 30 minutes
Run Time: 2.5 minutes/unit
Queue Time: 8 hours
Move Time: 0.5 hours
020 - Machine Parts:
Work Center: CNC Center
Setup Time: 45 minutes
Run Time: 8.0 minutes/unit
Queue Time: 16 hours
Move Time: 1.0 hours
030 - Assembly:
Work Center: Assembly Line
Setup Time: 15 minutes
Run Time: 12.0 minutes/unit
Queue Time: 4 hours
Move Time: 0.5 hours
040 - Test & Pack:
Work Center: Test Center
Setup Time: 10 minutes
Run Time: 5.0 minutes/unit
Queue Time: 2 hours
Move Time: 0.5 hours
Shop Floor Data Collection
Real-Time Data Collection Methods
Data Collection Technologies:
1. Barcode Scanning
- Employee badges
- Work order numbers
- Operation codes
- Quantity reporting
2. RFID Technology
- Automatic identification
- Location tracking
- Batch/lot tracking
- Temperature monitoring
3. Mobile Devices
- Touch screen interfaces
- Voice recognition
- Digital forms
- Photo capture
4. Machine Integration
- PLC connections
- Sensor data
- Automatic counts
- Quality metrics
Shop Floor Transaction Types
Transaction Categories:
Labor Transactions:
- Clock In/Out
- Operation Start/Complete
- Quantity Reporting
- Scrap Reporting
- Rework Reporting
Material Transactions:
- Component Issue
- Component Return
- Lot/Serial Consumption
- Scrap Material
- Additional Material
Quality Transactions:
- Inspection Results
- Non-conformance Reports
- Rework Instructions
- Quality Hold
- Quality Release
WIP Movement and Status Tracking
Work Order Status Progression
Work Order Lifecycle:
1. Created → Planned quantities and dates
2. Released → Materials allocated, ready to start
3. In Process → Production started
4. On Hold → Temporary stop (quality, material, etc.)
5. Completed → All operations finished
6. Closed → Financial and inventory transactions complete
Status Change Triggers:
Created → Released: Material availability confirmed
Released → In Process: First operation started
In Process → On Hold: Quality issue identified
On Hold → In Process: Issue resolved
In Process → Completed: Final operation finished
Completed → Closed: Month-end closing process
WIP Variance Analysis
Standard vs. Actual Analysis
Work Order Variance Report - WO-2024-001:
Material Variances:
Standard Material Cost: MYR 5,000
Actual Material Cost: MYR 5,200
Material Price Variance: MYR 150 unfavorable
Material Usage Variance: MYR 50 unfavorable
Total Material Variance: MYR 200 unfavorable
Labor Variances:
Standard Labor Cost: MYR 3,000
Actual Labor Cost: MYR 3,200
Labor Rate Variance: MYR 100 unfavorable
Labor Efficiency Variance: MYR 100 unfavorable
Total Labor Variance: MYR 200 unfavorable
Overhead Variances:
Standard Overhead: MYR 4,000
Actual Overhead: MYR 4,100
Overhead Spending Variance: MYR 100 unfavorable
Total Overhead Variance: MYR 100 unfavorable
Total Work Order Variance: MYR 500 unfavorable
Lot/Serial Number Tracking for Compliance
Critical for regulated industries like pharmaceuticals, food, automotive, and aerospace.
Lot Control Implementation
Lot Master Data Structure
Lot Number: L2024-001-A
Product: Raw Material X
Supplier: ABC Chemicals
Receipt Date: 2024-01-15
Expiry Date: 2024-07-15
Status: Active
Quality Attributes:
Purity: 99.5%
Moisture Content: 0.2%
pH Level: 7.2
Test Date: 2024-01-16
Certificate Number: QC-2024-0156
Traceability Links:
Supplier Lot: SC-789456
Production Lots: [P2024-025, P2024-026, P2024-027]
Customer Shipments: [SH-001234, SH-001235]
Lot Consumption Tracking
Production Lot Consumption:
Work Order: WO-2024-100
Product: Finished Good A
Quantity: 1,000 units
Input Lots:
Raw Material X:
Lot L2024-001-A: 250 kg (consumed)
Lot L2024-002-B: 150 kg (consumed)
Raw Material Y:
Lot L2024-010-C: 100 kg (consumed)
Output Lot:
Finished Good A:
Lot FG-2024-050: 1,000 units (produced)
Genealogy Established:
FG-2024-050 ← L2024-001-A, L2024-002-B, L2024-010-C
Serial Number Implementation
Serial Number Structure Design
Serial Number Format: PPPP-YYYY-NNNNN-CC
Where:
PPPP = Product Code (4 characters)
YYYY = Year of manufacture
NNNNN = Sequential number (5 digits)
CC = Check digits (mod 97)
Example: PUMP-2024-00001-23
Serial Number Generation Rules:
1. Unique across all products and time
2. Meaningful to manufacturing and service
3. Includes check digits for validation
4. Barcode/QR code compatible
5. Customer requirements compliant
Serial Number Lifecycle Tracking
Serial Number: PUMP-2024-00001-23
Product: Industrial Pump Model X
Manufacturing History:
Work Order: WO-2024-500
Production Date: 2024-03-15
Work Center: Final Assembly
Operator: John Smith
Quality Inspector: Mary Johnson
Test Results: PASS
Component Serial Numbers:
Motor: MOT-2024-01234-56
Impeller: IMP-2024-05678-90
Casing: CAS-2024-09876-54
Field Service History:
Installation Date: 2024-04-20
Customer: XYZ Manufacturing
Location: Plant A, Building 2
Service Records: [SR-001, SR-002, SR-003]
Warranty Status: Active until 2026-04-20
Recall Management Process
Recall Procedure Implementation
Recall Process Steps:
1. Recall Initiation
- Identify affected lot/serial numbers
- Determine recall scope
- Assess risk level
- Form recall team
2. Traceability Analysis
- Forward traceability (where did it go?)
- Backward traceability (where did it come from?)
- Generate affected item list
- Identify customer locations
3. Customer Notification
- Prepare recall notice
- Contact affected customers
- Provide return instructions
- Track acknowledgments
4. Product Recovery
- Coordinate returns
- Track return quantities
- Quarantine returned products
- Verify recall effectiveness
5. Root Cause Analysis
- Investigate cause
- Implement corrective actions
- Update procedures
- Train personnel
Recall Traceability Query Example
-- BigLedger recall query example
SELECT DISTINCT
c.customer_name,
s.shipment_number,
s.shipment_date,
p.product_code,
lt.lot_number,
sn.serial_number,
sl.quantity_shipped
FROM
shipment_lines sl
JOIN shipments s ON sl.shipment_id = s.shipment_id
JOIN customers c ON s.customer_id = c.customer_id
JOIN products p ON sl.product_id = p.product_id
LEFT JOIN lot_tracking lt ON sl.lot_id = lt.lot_id
LEFT JOIN serial_numbers sn ON sl.serial_id = sn.serial_id
WHERE
lt.lot_number IN ('L2024-001-A', 'L2024-002-B')
OR sn.serial_number LIKE 'PUMP-2024-00001%'
ORDER BY
s.shipment_date DESC;
Regulatory Compliance Features
FDA 21 CFR Part 11 Compliance
Electronic Records Requirements:
1. Electronic Signatures
- Unique user identification
- Biometric or password authentication
- Electronic signature linking
- Non-repudiation controls
2. Audit Trails
- Record creation timestamp
- User identification
- Original and changed values
- Reason for change
- Secure, time-stamped entries
3. System Controls
- Access controls and permissions
- Data backup and recovery
- System validation documentation
- Change control procedures
ISO 9001 Traceability Requirements
Quality Management System Integration:
Document Control:
- Traceability procedures
- Work instructions
- Record retention policies
- Document version control
Monitoring and Measurement:
- Product identification
- Traceability records
- Non-conformance tracking
- Corrective action linkage
Management Review:
- Traceability effectiveness
- Customer complaints analysis
- Recall frequency and scope
- System improvement opportunities
Inventory Valuation Methods Deep Dive
Inventory valuation significantly impacts financial statements, tax obligations, and operational decisions.
FIFO (First-In, First-Out) Implementation
FIFO Calculation Example
Inventory Transactions - Product A:
Jan 1: Beginning balance: 100 units @ MYR 10 = MYR 1,000
Jan 5: Purchase: 200 units @ MYR 12 = MYR 2,400
Jan 10: Sale: 150 units
Jan 15: Purchase: 100 units @ MYR 15 = MYR 1,500
Jan 20: Sale: 180 units
Jan 25: Purchase: 50 units @ MYR 16 = MYR 800
FIFO Cost of Goods Sold:
Jan 10 Sale (150 units):
100 units @ MYR 10 = MYR 1,000
50 units @ MYR 12 = MYR 600
Total COGS: MYR 1,600
Jan 20 Sale (180 units):
150 units @ MYR 12 = MYR 1,800
30 units @ MYR 15 = MYR 450
Total COGS: MYR 2,250
Ending Inventory:
70 units @ MYR 15 = MYR 1,050
50 units @ MYR 16 = MYR 800
Total Ending Inventory: MYR 1,850
Weighted Average Cost Implementation
Moving Average Calculation
Moving Average Method - Product B:
Date Transaction Qty Unit Cost Total Avg Cost
Jan 1 Beginning 50 MYR 20 MYR 1,000 MYR 20.00
Jan 3 Purchase 30 MYR 22 MYR 660
New Average: 80 MYR 1,660 MYR 20.75
Jan 8 Issue (25) MYR 20.75 MYR 518.75
Balance: 55 MYR 1,141.25 MYR 20.75
Jan 12 Purchase 40 MYR 24 MYR 960
New Average: 95 MYR 2,101.25 MYR 22.12
Jan 18 Issue (60) MYR 22.12 MYR 1,327.20
Balance: 35 MYR 774.05 MYR 22.12
Standard Costing Implementation
Standard Cost Variance Analysis
Standard Cost System - Product C:
Standard Cost: MYR 25.00/unit
Actual Purchases:
Date Qty Unit Cost Total Variance
Jan 5 100 MYR 24.50 MYR 2,450 MYR 50 favorable
Jan 12 150 MYR 25.80 MYR 3,870 MYR 120 unfavorable
Jan 20 80 MYR 24.20 MYR 1,936 MYR 64 favorable
Inventory Valuation:
All inventory carried at standard cost: MYR 25.00/unit
Purchase price variances recorded separately
Variance analysis for management reporting
Variance Journal Entries:
Jan 5 Purchase:
Dr. Inventory (100 × MYR 25.00) MYR 2,500
Cr. Accounts Payable MYR 2,450
Cr. Purchase Price Variance MYR 50
Jan 12 Purchase:
Dr. Inventory (150 × MYR 25.00) MYR 3,750
Dr. Purchase Price Variance MYR 120
Cr. Accounts Payable MYR 3,870
Lower of Cost or Market (LCM) Implementation
LCM Assessment Process
LCM Analysis - Product D:
Historical Cost: MYR 50/unit
Current Market Price: MYR 45/unit
Replacement Cost: MYR 43/unit
Net Realizable Value: MYR 48/unit
Net Realizable Value - Normal Profit: MYR 42/unit
LCM Calculation:
Market Value = Middle value of:
- Replacement Cost: MYR 43
- Net Realizable Value: MYR 48
- NRV - Normal Profit: MYR 42
Market Value = MYR 43
LCM = Lower of Cost (MYR 50) or Market (MYR 43)
LCM = MYR 43/unit
Inventory Write-down:
Write-down per unit: MYR 50 - MYR 43 = MYR 7
Inventory on hand: 200 units
Total write-down: MYR 1,400
Journal Entry:
Dr. Inventory Write-down Expense MYR 1,400
Cr. Inventory Valuation Allowance MYR 1,400
Specific Identification Method
High-Value Item Tracking
Specific Identification - Luxury Watches:
Item Serial Number Cost Sale Price Margin
Watch A W001234 MYR 5,000 MYR 8,000 MYR 3,000
Watch B W001235 MYR 4,500 MYR 7,500 MYR 3,000
Watch C W001236 MYR 5,500 MYR 9,000 MYR 3,500
Sale Transaction - Watch B:
Dr. Cash/Accounts Receivable MYR 7,500
Cr. Sales Revenue MYR 7,500
Dr. Cost of Goods Sold MYR 4,500
Cr. Inventory MYR 4,500
Remaining Inventory:
Watch A: MYR 5,000
Watch C: MYR 5,500
Total: MYR 10,500
Cycle Counting and Physical Inventory Excellence
Inventory accuracy is the foundation of effective operations. My target is 95%+ accuracy, achievable with proper cycle counting procedures.
Cycle Counting Program Design
ABC Classification for Cycle Counting
ABC Analysis Based on Annual Usage Value:
Class A Items (70% of value, 20% of items):
- Count frequency: Weekly or bi-weekly
- Tolerance: ±2%
- Immediate investigation of variances
- Root cause analysis required
Class B Items (20% of value, 30% of items):
- Count frequency: Monthly
- Tolerance: ±5%
- Variance investigation if significant
- Quarterly trend analysis
Class C Items (10% of value, 50% of items):
- Count frequency: Quarterly
- Tolerance: ±10%
- Focus on major variances only
- Annual procedure review
Cycle Count Schedule Planning
Daily Cycle Count Plan:
Monday:
- A items: Locations A001-A050
- High-velocity items
- Previous variance follow-up
Tuesday:
- A items: Locations A051-A100
- B items: Locations B001-B025
- Customer return areas
Wednesday:
- A items: Locations A101-A150
- B items: Locations B026-B050
- Work-in-process areas
Thursday:
- A items: Locations A151-A200
- C items: Locations C001-C100
- Consignment inventory
Friday:
- Variance resolution
- Root cause analysis
- Process improvements
- Next week planning
Count Procedures and Controls
Pre-Count Preparation
Preparation Checklist:
□ Freeze inventory transactions during count
□ Complete all pending receipts and issues
□ Organize counting areas
□ Prepare count sheets/mobile devices
□ Assign counting teams
□ Review procedures with counters
□ Verify scales and measuring equipment
□ Identify problem areas from previous counts
Counting Process Controls
Blind Count Procedures:
1. Generate count sheets without quantities
2. Assign counters to unfamiliar areas
3. Require independent second counts for variances
4. Use different teams for recounts
5. Supervisor spot checks of 10% of counts
6. Document all unusual situations
Count Team Structure:
Primary Counter: Physical counting
Secondary Counter: Independent verification
Recorder: Data entry and documentation
Supervisor: Quality control and exception handling
Variance Investigation Process
Variance Analysis Workflow
Variance Investigation Steps:
1. Immediate Verification
- Recount suspected variances
- Check for recent transactions
- Verify unit of measure
- Confirm product identification
2. Transaction Review
- Review recent receipts/issues
- Check for timing differences
- Verify posting dates
- Investigate unposted transactions
3. Physical Investigation
- Check alternate locations
- Look for damaged products
- Verify lot/serial numbers
- Check for misidentified items
4. Root Cause Analysis
- Identify cause category
- Document contributing factors
- Assign responsibility
- Develop corrective actions
5. Adjustment Processing
- Supervisor approval required
- Document business justification
- Process inventory adjustment
- Update cycle count results
Common Variance Root Causes
Root Cause Categories:
Transaction Errors (40%):
- Incorrect quantities posted
- Wrong location updates
- Timing differences
- Missed transactions
Physical Handling (30%):
- Damaged goods not recorded
- Theft or shrinkage
- Incorrect put-away location
- Product deterioration
System Issues (20%):
- Unit of measure errors
- Product code mix-ups
- BOM errors
- System processing errors
Process Gaps (10%):
- Inadequate training
- Poor procedures
- Insufficient controls
- Communication breakdowns
Perpetual Inventory Accuracy Monitoring
Key Performance Indicators
Inventory Accuracy Metrics:
1. Overall Accuracy Rate
Target: >95%
Calculation: (Items within tolerance ÷ Total items counted) × 100
2. Value Accuracy Rate
Target: >98%
Calculation: (Value within tolerance ÷ Total value counted) × 100
3. Location Accuracy Rate
Target: >99%
Calculation: (Correct locations ÷ Total locations) × 100
4. Record Accuracy Rate
Target: >95%
Calculation: (Records with no errors ÷ Total records) × 100
Monthly Accuracy Trending:
Month Overall Value Location Record
January 94.2% 97.8% 98.9% 93.5%
February 95.1% 98.2% 99.1% 94.8%
March 95.8% 98.6% 99.3% 95.2%
Target >95% >98% >99% >95%
Physical Inventory Process
Annual Physical Inventory Procedures
Physical Inventory Timeline:
Week -4: Planning and Preparation
- Form inventory committee
- Develop count procedures
- Train count teams
- Prepare count materials
Week -2: Pre-Inventory Activities
- Complete cycle count corrections
- Clean and organize warehouse
- Update location codes
- Freeze purchase orders
Week -1: Final Preparations
- Final transaction processing
- Inventory cut-off procedures
- Team assignments
- Equipment testing
Count Day: Execution
- Morning briefing
- First count completion
- Variance identification
- Second count (variances only)
- Supervisor reviews
Week +1: Post-Count Activities
- Final variance resolution
- Inventory adjustments
- Financial reporting
- Process improvement review
Count Accuracy Verification
Multi-Stage Verification Process:
Stage 1: Initial Count
- Blind count by assigned team
- Document quantities and conditions
- Note any discrepancies or issues
Stage 2: Verification Count
- Independent team recounts
- Compare to initial count
- Flag variances >±5%
Stage 3: Supervisor Review
- Review all variances
- Authorize additional recounts
- Approve final quantities
Stage 4: Final Validation
- Management approval for significant adjustments
- Financial impact assessment
- Audit trail documentation
This comprehensive guide represents three decades of practical experience in implementing and optimizing inventory and manufacturing processes. The key to success lies in establishing robust master data, implementing disciplined processes, and leveraging BigLedger’s automation capabilities while maintaining focus on accuracy and continuous improvement.
Each section provides detailed, implementable procedures that have been tested across multiple industries and ERP implementations. The emphasis is on creating systems that provide accurate, timely information for operational decision-making while maintaining compliance with applicable standards and regulations.