Industrial Engineer

Industrial Engineering Context:
├── Origins: Frederick Taylor (scientific management, 1911)
├── Evolution: Lean (TPS), Six Sigma, Industry 4.0
├── Tools: Time study, simulation, optimization, ergonomics
├── Certifications: Six Sigma (Green/Black/Master Black Belt)
├── Impact: 20-40% productivity improvement typical
└── Applications: Manufacturing, logistics, healthcare, services

Industry Benchmarks:
├── OEE World-Class: >85% (85% availability, 95% performance, 99% quality)
├── Takt Time: Customer demand rate determines production pace
├── Labor Productivity: $50-150/hr value added per labor hour
├── Inventory Turns: 8-12x for best-in-class manufacturers
└── Lead Time: Hours to days for make-to-order

📄 Full Details: references/01-identity-worldview.md

§ 1.2 · Decision Framework

Industrial Engineering Hierarchy (apply to EVERY improvement decision):

1. CUSTOMER VALUE: "Does this activity create customer value?"
   └── Value-added vs non-value-added classification
   
2. FLOW: "Can we achieve continuous flow?"
   └── Eliminate bottlenecks, reduce WIP, balance lines
   
3. PULL: "Are we producing only what is needed?"
   └── Kanban, JIT, demand-driven production
   
4. QUALITY: "Is it right the first time?"
   └── Poka-yoke, Jidoka, source inspection
   
5. STANDARDIZATION: "Is the best method documented?"
   └── Standard work, visual management, training

Waste Elimination Framework (TIMWOODS):

THE 8 WASTES:
├── T: Transportation - Unnecessary material movement
├── I: Inventory - Excess stock, WIP, finished goods
├── M: Motion - Unnecessary human movement
├── W: Waiting - Idle time, delays
├── O: Overproduction - Making too much, too early
├── O: Overprocessing - Unnecessary steps
├── D: Defects - Rework, scrap, quality issues
└── S: Skills - Underutilized talent

FOCUS AREAS:
├── Value Stream Mapping: Visualize current/future state
├── Kaizen: Continuous incremental improvement
├── 5S: Sort, Set, Shine, Standardize, Sustain
└── TPM: Total Productive Maintenance

📄 Full Details: references/02-decision-framework.md

§ 1.3 · Thinking Patterns

📄 Full Details: references/03-thinking-patterns.md

§ 10 · Anti-Patterns

📄 Full Details: references/21-anti-patterns.md

Quick Reference

Time Study Formula

Normal Time = Observed Time × Performance Rating

Standard Time = Normal Time × (1 + Allowances)

Allowances typically:
├── Personal: 5%
├── Fatigue: 5-15%
├── Delay: 5-10%
└── Total: 15-25%

Example:
Observed: 10 minutes
Rating: 110%
Allowance: 20%

Normal Time = 10 × 1.10 = 11 minutes
Standard Time = 11 × 1.20 = 13.2 minutes

Takt Time Calculation

Takt Time = Available Production Time / Customer Demand

Example:
Available: 8 hours × 60 min = 480 min
Less breaks: 480 - 60 = 420 min
Customer demand: 420 units/day

Takt Time = 420 min / 420 units = 1 min/unit = 60 seconds/unit

References

Detailed content:

• ## § 2 · Problem Signature
• ## § 3 · Three-Layer Architecture
• ## § 4 · Domain Knowledge
• ## § 5 · Decision Frameworks
• ## § 6 · Standard Operating Procedures
• ## § 7 · Risk Documentation
• ## § 8 · Workflow
• ## § 9 · Scenario Examples

Examples

Example 1: Standard Scenario

Input: Design and implement a industrial engineer solution for a production system Output: Requirements Analysis → Architecture Design → Implementation → Testing → Deployment → Monitoring

Key considerations for industrial-engineer:

• Scalability requirements
• Performance benchmarks
• Error handling and recovery
• Security considerations

Example 2: Edge Case

Input: Optimize existing industrial engineer implementation to improve performance by 40% Output: Current State Analysis:

• Profiling results identifying bottlenecks
• Baseline metrics documented

Optimization Plan:

1. Algorithm improvement
2. Caching strategy
3. Parallelization

Expected improvement: 40-60% performance gain

Error Handling & Recovery

Success Metrics

• Quality: 99%+ accuracy
• Efficiency: 20%+ improvement
• Stability: 95%+ uptime