Industrial Engineering and Management

Course Objectives:
The main objective of this course is to provide fundamental knowledge of industrial engineering. After completion of this course the students will be able:

  1. To describe production systems; loading and scheduling techniques
  2. To describe forecasting techniques, inventory control and material requirement planning
  3. To apply knowledge and skills for plant maintenance, quality control and management

Course Outlines:

  1. Introduction to Industrial Engineering and Management (1hour)
    1. Historical Development
    2. System Concept

  2. Design of Production Systems(18 hours)
    1. Plant Location
      1. Importance of Plant Location
      2. Factors Affecting Plant Location
    2. Factory Building and Plant Layout 
      1. Types of Factory Building
      2. Types of Plant Layout
      3. Flow Patterns
    3. Material Handling
      1. Engineering factors and Economic factors
      2. Classification of Material Handling Equipments
    4. Production, Planning and Control
      1. Types of Production System
      2. Routing, Scheduling and Loading
    5. Product Research, Development and Design    
      1. Tools for Product Development
      2.  Standardization
      3. Simplification and Specialization
    6. Process Planning

  3. Loading and Scheduling Technique(4 hours)
    1. Gantt Chart
    2. Critical Path Method (CPM)
    3. Program Evaluation and Review Technique (PERT)

  4. Inventory Control  (4 hours)
    1. Economic Order Quantity
    2. Safety Stock; Reorder Quantity; Lead Time
    3. ABC Analysis

  5. Material Requirement Planning (MRP I and  MRP II) (6 hours)
    1. Introduction
    2. MRP Concept
    3. Benefits and Application
    4. MRP II (Manufacturing Resource Planning)
    5. The Japanese approach to MRP
    6. Comparing MRP and Just in time (JIT) Concept

  6. Forecasting(4 hours)
    1. Forecasting Techniques
      1. Qualitative Techniques
      2. Quantitative Techniques
      3. Causal Quantitative Techniques
    2. Forecast Errors

  7. Plant Maintenance(4 hours)
    1. Introduction
    2. Preventive Maintenance
    3. Scheduled Maintenance
    4. Break – down Maintenance
    5. Total Productive Maintenance (TPM)
    6. Total Planned Quality Maintenance (TPQM)

  8. Quality Management(4 hours)
    1. Evolution of Quality Management      
    2. Quality – Definitions    
    3. Total Quality Management     

References:

  1. H. B. Maynard, “Industrial Engineering Handbook” , Editor – in – Chief, 4th Edition, McGraw Hill, 19xx   
  2. E. S. Buffa and R. K. Sarin “Modern Production / Operations Management”, 8th Edition, Wiley, 1987
  3. E. L. Grant and R. S. Leavenworth, “Statistical Quality Control” , Mc Graw Hill, 1985  
  4. M. Mahajan, “Industrial Engineering and Production Management”, Dhanpat Rai and Co. Delhi, India, 2002
  5. O. P. Khanna,  “Industrial Engineering and Management”, Dhanpat Rai and Sons, Delhi, 1999
  6. S. Dalela and Mansoor Ali,  “Industrial Engineering and Management Systems”, Standard Publishers Distributors, Delhi, 1997
  7. S. N. Chary “Production and Operations Management”, Tata McGraw- Hill Publishing Company Limited, New Delhi, 2004
  8. Azaya Bikram Sthapit, Rashindra Prasad Yadav, Govind Tamang, Sushil Dhital and Prakash Ahdhikari, “Production and Operations Management”, Asmita Books Publishers and Distributors, Putalisadak, Kathmandu, Nepal,  Second Edition, 2007
  9. Prof. Dr. Pushkar Bajracharya, Dr. Subarna Lal Bajracharya, Budha Ratna Maharjan – “ Production and Operations Management”  -   First Edition – Quest Publicatopn, Kirtipur, Kathmandu, Nepal
  10. Amitava Mitra, “ Fundamentals of Quality Control and Improvement” Second Edition, Pearson Education Asia  

Evaluation Scheme:
There will be questions covering all the chapters of the syllabus. The evaluation scheme for the questions will be as indicated in the table below:

Chapters

Hours

Marks distribution*

1 & 2

18

30

3

4

8

4

4

8

5

6

10

6

4

8

7

4

8

8

4

8

Total

45

80


*Note: There may be minor deviation in marks distribution.

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