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DIAGRAMS - INTRODUCTION TO INDUSTRIAL ENGINEERING

 UNIT I – INTRODUCTION TO INDUSTRIAL ENGINEERING Input–Output Model of Production System UNIT II – WORK STUDY & METHOD STUDY 2️⃣ Steps in Method Study 3️⃣ Flow Process Chart (Symbols) 🔹 UNIT III – PRODUCTION SYSTEMS & PLANT LAYOUT 4️⃣ Product Layout 5️⃣ Process Layout UNIT IV – ERGONOMICS & HUMAN FACTORS 6️⃣ Man–Machine Chart 7️⃣ Workplace Design (Ergonomics) 🔹 UNIT V – QUALITY & INVENTORY CONTROL 8️⃣ EOQ Cost Curve
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OIE -357 - INTRODUCTION TO INDUSTRIAL ENGG - TWO MARK QUESTIONS WITH ANSWERS

  UNIT I – INTRODUCTION TO INDUSTRIAL ENGINEERING Industrial Engineering Industrial Engineering is concerned with the design, improvement, and installation of integrated systems of men, materials, machines, and methods. Father of Scientific Management F.W. Taylor is known as the Father of Scientific Management. Productivity Productivity is the ratio of output produced to the input used in the production process. Objectives of Industrial Engineering To increase productivity and reduce waste by efficient utilization of resources. Production System A production system is a set of interrelated components that transform inputs into finished outputs. Input–Output Model The input–output model represents the transformation of resources such as men, materials, and machines into finished goods. Applications of Industrial Engineering Industrial Engineering is applied in manufacturing, service industries, healthcare, and logistics. Factors Affecting Productivity ...

MOST EXPECTED” 5 questions per unit for OIE 357 – Introduction to Industrial Engineering (Anna University – R2021 / R2022 pattern)

🟦 OIE 357 – Introduction to Industrial Engineering ( Anna University – R2021 / R2022 pattern ) These are high-probability questions based on repeated Anna University trends and examiner preference . If students prepare only these , they can confidently attempt one full question from every unit . 🔹 UNIT I – INTRODUCTION TO INDUSTRIAL ENGINEERING Explain the evolution, scope, and objectives of Industrial Engineering. Define productivity. Explain types of productivity and factors affecting productivity. Explain the principles of Scientific Management proposed by F.W. Taylor. Differentiate between Industrial Engineering and Production Management. Explain the Input–Output model of a production system with a neat diagram. 📌 Very frequently asked unit 🔹  UNIT III – PRODUCTION SYSTEMS & PLANT LAYOUT Explain the types of production systems with suitable examples. Explain the objectives and importance of Plant Layout. Describe different types of plant layout...

1.3.1 Process Design and Optimization

  1. Process Design and Optimization   It is the systematic effort to analyze existing workflows and design new, highly efficient systems to maximize output while minimizing inputs and waste. 2. The Goal The primary aim is continuous improvement in three main areas: Reduce Waste (Muda): Eliminating non-value-added activities (e.g., waiting, excessive motion, defects, unnecessary inventory). Increase Productivity: Maximizing the ratio of Output / Input (e.g., more units produced with the same or fewer hours of labor and materials). Enhance Quality: Building quality into the process so that products/services are right the first time. 3. DMAIC Cycle (Six Sigma Methodology) The DMAIC cycle is a structured, data-driven approach used in process improvement and optimization to reduce defects and improve quality. D – Define Clearly define the problem , project goals, and customer requirements. Identify process boundaries , stakeholders, and critical-to-quality (CTQ) factors. ...

1. 3. Roles of an Industrial Engineer

  1. The major roles of an industrial engineer include: Roles of an Industrial Engineer Productivity Improvement: Enhances efficiency by reducing waste, idle time, and unnecessary motions. Process Optimization: Designs and improves production and service processes for smoother workflow. Work Study & Method Study: Analyzes jobs to develop the best methods and set standard times. Layout and Facility Planning: Plans plant layout, material handling systems, and workspace design. Quality Management: Implements quality control, Six Sigma, and continuous improvement practices. Cost Reduction: Identifies cost-saving opportunities without compromising quality. Supply Chain & Logistics Management: Optimizes inventory, transportation, and distribution systems. Human Factors & Ergonomics: Improves worker safety, comfort, and job satisfaction. Data Analysis & Decision Support: Uses data, simulation, and analytics to support managerial decision...

1.2.7 MODERN INDUSTRIAL ENGINEERING

 “Modern Industrial Engineering (IE)” is an evolution of traditional industrial engineering that integrates advanced technologies, data analytics, and optimization techniques into managing and improving complex industrial systems. It goes beyond classic time-motion studies and focuses on efficiency, productivity, sustainability, and flexibility in modern industries. Here's a structured explanation: 1. Definition Modern Industrial Engineering is the application of engineering principles, advanced analytics, and management techniques to design, improve, and optimize integrated systems involving people, materials, information, equipment, and energy 2. Key Focus Areas Process Optimization : Using data-driven methods to improve efficiency and reduce waste. A utomation & Robotics : Integrating automated machines and robotic systems in manufacturing and logistics. Lean & Six Sigma : Modern lean methods combined with quality improvement techniques for zero-defect production. Supply...

1.2.6- Operations Research (OR)

  Definition Operations Research (OR) is a scientific and quantitative approach to decision-making that uses mathematical models, statistics, and optimization techniques to find the best possible solution to complex industrial and managerial problems. Objectives of Operations Research To achieve optimal utilization of resources To minimize cost or maximize profit/output To improve decision-making To handle complex problems involving uncertainty and constraints Features of Operations Research Uses mathematical and analytical models System-oriented approach Interdisciplinary in nature Focuses on optimization Data-based and scientific Basic Steps in OR Problem formulation Construction of a mathematical model Collection of relevant data Solution of the model Testing and validation Implementation of results Common OR Techniques Linear Programming (LP) Transportation and Assignment Models Inventory Models Queuin...