Industrial Engineering

The optimization of complex processes, systems, and organizations by integrating people, materials, equipment, and information.

Operations Research

Operations Research is a fundamental engineering principle covering design, analysis, and practical application.

Key points: Time complexity (Big-O), space complexity, correctness proof, and practical implementation trade-offs.

Supply Chain Management

Supply Chain Management is a fundamental engineering principle covering design, analysis, and practical application.

Key points: Core principles, practical applications, and advanced concepts that build deep understanding.

Quality Control

Quality Control is a fundamental engineering principle covering design, analysis, and practical application.

Key points: Core principles, practical applications, and advanced concepts that build deep understanding.

Facilities Planning

Facilities Planning is a fundamental engineering principle covering design, analysis, and practical application.

Key points: Core principles, practical applications, and advanced concepts that build deep understanding.

Human Factors Engineering

Human Factors Engineering is a fundamental engineering principle covering design, analysis, and practical application.

Key points: Design principles, analysis methods, standards and codes, and real-world case studies.

Production Planning

Production Planning is a fundamental engineering principle covering design, analysis, and practical application.

Key points: Core principles, practical applications, and advanced concepts that build deep understanding.

Lean Manufacturing

Lean Manufacturing is a fundamental engineering principle covering design, analysis, and practical application.

Key points: Core principles, practical applications, and advanced concepts that build deep understanding.

Project Management

Project Management is a fundamental engineering principle covering design, analysis, and practical application.

Key points: Core principles, practical applications, and advanced concepts that build deep understanding.

Key Formulas & Equations

Little's Law: L = λW
Throughput Rate: TH = 1/T0
Cycle Time: CT = 1/R
Utilization: ρ = λ/(cμ)
Economic Order Quantity: EOQ = √(2DS/H)
Reorder Point: ROP = d × L + SS
Safety Stock: SS = z × σL
Total Inventory Cost: TC = (D/Q)S + (Q/2)H
Line Efficiency: E = Tc/(Tc + Td) × 100%
Balance Efficiency: Eb = Σti/(n × Tmax) × 100%
Number of Stations: n = Σti/Tc
Throughput: TH = WIP/CT
Standard Time: ST = NT × (1 + Allowance)
Normal Time: NT = OT × Rating Factor
Production Rate: Rp = 60/Tc × E
CPM Critical Path: ESj = max(EFi) for all predecessors
Slack: Si = LSi - ESi = LFi - EFi
PERT Expected Time: te = (a + 4m + b)/6
PERT Variance: σ² = ((b-a)/6)²

Core Concepts

Operations Research

The application of analytical methods to make better decisions. Includes linear programming, queuing theory, simulation, and optimization techniques.

Supply Chain Management

The management of the flow of goods and services from raw materials to final customers. Includes procurement, logistics, inventory, and distribution.

Quality Control

Techniques for ensuring products meet specifications. Includes statistical process control, Six Sigma, acceptance sampling, and quality management systems.

Facilities Planning

The design and layout of physical facilities. Includes plant location, material handling, storage, and workplace design for efficiency and safety.

Human Factors Engineering

The study of human capabilities and limitations in the workplace. Includes ergonomics, cognitive engineering, and human-machine interface design.

Production Planning

The coordination of manufacturing activities to meet demand. Includes master production scheduling, material requirements planning, and capacity planning.

Lean Manufacturing

A systematic approach to eliminating waste while maintaining productivity. Includes just-in-time, kaizen, 5S, and value stream mapping.

Project Management

The planning, organizing, and managing of resources to achieve project goals. Includes scheduling, budgeting, risk management, and team coordination.

Worked Examples

Example 1: EOQ Calculation

Problem: Annual demand = 10,000 units, ordering cost = $50, holding cost = $2/unit/year. Calculate EOQ.

Solution:

EOQ = √(2DS/H) = √(2 × 10000 × 50/2) = √500,000 = 707 units

Example 2: Little's Law

Problem: A system has average WIP of 50 units and throughput of 10 units/hr. Calculate cycle time.

Solution:

L = λW → W = L/λ = 50/10 = 5 hours

Example 3: PERT Analysis

Problem: Activity has optimistic = 4 days, most likely = 7 days, pessimistic = 16 days. Calculate expected time and variance.

Solution:

te = (4 + 4×7 + 16)/6 = 48/6 = 8 days

σ² = ((16-4)/6)² = 4 days²

Practice Problems

Problem 1

Calculate reorder point if daily demand = 100 units, lead time = 5 days, safety stock = 200 units.

Answer: ROP = 100 × 5 + 200 = 700 units

Problem 2

A line has 5 stations with times: 2, 3, 4, 2, 3 minutes. Calculate balance efficiency (cycle time = 4 min).

Answer: Eb = 14/(5 × 4) × 100% = 70%

Problem 3

Calculate standard time if normal time = 10 min and allowance = 15%.

Answer: ST = 10 × 1.15 = 11.5 minutes

Problem 4

Calculate utilization if arrival rate = 10/hr, service rate = 15/hr, servers = 1.

Answer: ρ = 10/15 = 0.667 = 66.7%

Problem 5

Calculate total inventory cost for D = 5000, Q = 500, S = $25, H = $5.

Answer: TC = (5000/500) × 25 + (500/2) × 5 = 250 + 1250 = $1500

Problem 6

Calculate throughput if WIP = 30 units and cycle time = 6 hours.

Answer: TH = 30/6 = 5 units/hour

Problem 7

Calculate PERT expected time for a = 2, m = 5, b = 8.

Answer: te = (2 + 4×5 + 8)/6 = 30/6 = 5 days

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