Industrial Engineering

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INDUSTRIAL ENGINEERING 3351904
FREE PDF 3351904
Code: 3351904 Credits: 5 Semester 5 Mechatronics

Industrial Engineering

Get the full GTU study material, English & Gujarati textbook PDFs, syllabus curriculum, and solved previous year question papers.

Industrial Engineering Syllabus โ€” Unit-wise Content

The official GTU curriculum for Industrial Engineering (subject code 3351904) as prescribed for Mechatronics ยท Semester 5 divides the course into 6 units, covering 52 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.

Download the official syllabus PDF (3351904)

Unit 1 Introduction to Industrial Engineering.

  • 1.1. Industrial engineering-definition, objectives and techniques.
  • 1.2. Scope, importance and applications of industrial engineering.
  • 1.3. Methodology and approach of Industrial engineering.
  • 1.4. Productivity โ€“ concept, definition, importance and ways to enhance it, numeric examples.
  • 1.5. Introduction to work study.
  • 1.6. Introduction to statistical quality control (SQC).

Unit 2 Work Study.

  • 2.1. Work study-Definition, techniques and role to enhance productivity.
  • 2.2. Importance of human factors in application of work study techniques.
  • 2.3. Basic procedure of method study.
  • 2.4. Methods of recording data for method study using standard symbols, process charts and diagrams.
  • 2.5. Preparation of operation (outline) process chart for given mechanical assembly having 6-8 components.
  • 2.6. Process planning-concept, meaning, importance, functions, procedure and forms used.
  • 2.7. Information required for process planning and information available from process planning.
  • 2.8. Prepare process plan for given mechanical components, take 2-3 components.
  • 2.9. Preparation of flow process chart and flow diagram for given mechanical components having at least 6-8 major operations.
  • 2.10. Given the process plan, operation process chart and flow diagram, develop questioning techniques in analyzing data for method study. Also develop and improve the method, based on analysis of given data.
  • 2.11. Principles of motion economy Industrial Engineering Course Code: 3351904 GTU/ NITTTR Bhopal/14-15 Gujarat State 3 applied in (a) use of human body, (b) design of work place layout (c) design of tools and equipment.
  • 2.12. Principles of micro motion study, Therbligs and SIMO chart.
  • 2.13. Man and machine chart.
  • 2.14. Basic procedure of work measurement.
  • 2.15. Equipment used in time study.
  • 2.16. Job elements and their types.
  • 2.17. Methods of measuring time- cumulative and fly back timing.
  • 2.18. Concept of rating and rating scale.
  • 2.19. Allowances-types, normal values and applications.
  • 2.20. Calculation of basic time, standard time and work content.
  • 2.21. Concept of work sampling/ activity sampling.

Unit 3 Quality Assurance.

  • 3.1. Definition of quality, quality control (QC), quality assurance (QA), statistical quality control (SQC) and reliability.
  • 3.2. Importance of quality.
  • 3.3. Difference between reliability and quality control.
  • 3.4. Factors affecting and improving reliability.
  • 3.5. QA tools.
  • 3.6. Concept of total quality cycle, quality of design, quality of performance, quality of conformity and total quality.
  • 3.7. Difference between inspection and quality control.
  • 3.8. Fundamentals of statistics-types of variations, frequency, class boundary and midpoint, frequency distribution, frequency histogram, frequency bar chart and polygon chart.
  • 3.9. Frequency distribution curve, central tendency, spread or dispersion and range, mode, median and mean, standard deviation and variance with numeric examples.
  • 3.10. Concept of probability and normal distribution.
  • 3.11. Area under normal distribution and examples on normal distribution.
  • 3.12. Introduction to binomial and Poisson distribution. Industrial Engineering Course Code: 3351904 GTU/ NITTTR Bhopal/14-15 Gujarat State 4

Unit 4 Statistical Quality Control (SQC).

  • 4.1. Concept of variability.
  • 4.2. SQC tools and statistical fundamentals.
  • 4.3. Concept and differences between variables and attributes.
  • 4.4. Control charts for variable quality- types, objectives, applications, calculations of control limits and range/mean, methods to plot and interpretations (X bar-R chart) and examples.
  • 4.5. Control charts for attribute quality- types, objectives, applications, calculations of control limits and range/mean, methods to plot and interpretations (p, np, 100p and c chart) and examples.
  • 4.6. Process capability โ€“ meaning, definition and method to calculate, numeric examples.
  • 4.7. Acceptance sampling: i. Quality control of incoming raw material and components. ii. Concepts of random sampling. iii. Sampling plans: definition, terminology, types (Single, double and multiple), implementing plans based on given input. iv. OC curve-concept, need, types and importance, interpretation of given OC curve.

Unit 5 Plant layout and material handling equipments.

  • 5.1. Plant layout: Definition and concept.
  • 5.2. Types of plant layout, their applications, advantages and limitations.
  • 5.3. Role of material handling systems in industries.
  • 5.4. Material handling equipment- Classification, types, specifications, applications and selection criteria.

Unit 6 Recent trends in industrial engineering.

  • 6.1. International Organization for standardization and its role, ISO standard series and quality managements system.
  • 6.2. Total Quality Control (TQC) and Total Quality Management (TQM)- philosophical concepts. Industrial Engineering Course Code: 3351904 GTU/ NITTTR Bhopal/14-15 Gujarat State 5

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