B.E. Mechanical Engineering:Productivity Management

Thapar University
In Patiala

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Important information

  • Bachelor
  • Patiala
  • Duration:
    4 Years
Description

Important information
Venues

Where and when

Starts Location
On request
Patiala
Thapar University P.O Box 32, 147004, Punjab, India
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Course programme

First Year: Semester I

Mathematics I
Engineering graphics
Computer Programming
Physics
Solid Mechanics
Communication Skills


First Year: Semester-II

Mathematics II
Manufacturing Process
Chemistry
Electrical and Electronic Science
Thermodynamics
Organizational Behavior


Second Year- Semester - I


Numerical and Statistical Methods
Fluid Mechanics
Material Science and Engineering
Kinematics of Machines
Machine Drawing
Mechanics of Deformable Bodies
Environmental Studies


Second Year- Semester – II

Optimization Techniques
Measurement Science and Techniques
Power Generation and Economics
Machine Design – I
Dynamics of Machines
Computer Aided Design
Human Values, Ethics and IPR
Measurement and Metrology Lab


Third Year- Semester – I

Manufacturing Technology
Applied Thermodynamics
Industrial Metallurgy and Materials
Machine Design – II
Industrial Engineering
Total Quality Management
Summer Training(6 Weeks during summer vacations after 2nd year)


Third Year- Semester – II

Project Semester
Project
Industrial Training (6 Weeks )


Fourth Year- Semester – I

Machining Science
Heat and Mass Transfer
Automobile Engineering
Computer Aided Manufacturing
Production Planning and Control
Mechanical Vibrations and Condition Monitoring


Fourth Year- Semester – II

Engineering Economics
Turbomachines
Refrigeration and Air Conditioning
Mechatronics


Productivity Management

Introduction: Definition of Productivity, Productivity and performance, production, benefit cycle, Industrial productivity, scope of productivity management, factors affecting productivity, different approaches to productivity.

Productivity Measurement: Need of productivity measurement, productivity measurement approaches, total & partial productivity, productivity measurement models and their comparison, productivity measurement parameters, productivity measurement indices, work study and productivity.

Productivity Planning: Causes for productivity changes, productivity models, applications of different planning models, productivity planning executives and their responsibilities.

Productivity Evaluation: Productivity evaluation, productivity evaluation models, evaluation tree model, successive, time period models, applications of different evaluation models, role of evaluating executives and their responsibilities. Productivity Improvement: Causes of poor productivity, remedies of poor productivity, methods to improve productivity, design of productivity improvement programmes. Dynamic Programming of Productivity Problems: Static and dynamic causes of lower productivity, optimization of productivity.


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