Monday, September 30, 2013

Assignments - Industrial Engineering - Section A Students - NITIE - PGDIE 42 - 2013-14

1.1: The Evolution of Industrial Engineering.

1.2: The Definitions of Industrial Engineering – Critical appraisal

2: Total Productivity Management.

Engineering Economics

 3.1: Engineering Economy- Analytical Methods

 3.2: Data Collection and Estimating for Engineering Economy

Human Effort Engineering

 4.1: Motion Study – Principles of Economy

 4.2: Motion Study – Two Handed Process Chart

4.3; Fatigue Analysis and Reduction

Work Measurement

 5.1: Stop Watch Study (Include recent digital tools for Time Study)

 5.2: Work Sampling for Time Standards and Work Measurement

 5.3: PMTS Systems – MOST

 5.4: Work Measurement in Automated Processes (Look in Maynard Handbook first).


Manufacturing Process Improvement

6.1: Process Analysis and ECRS Method

 6.2: Operation Analysis

 6.3: Continuous Improvement (Kaizen using Employee Involvement)

 6.4: Setup Time Reduction.

Ergonomics




7.1: Importance of Ergonomics in Industrial Organizations and Industrial Engineering

7.2 Ergonomic Principles

7.3: Designing, Implementing, and Justifying an Ergonomics Program.


Compensation Issues


 8.1: Job Evaluation and Primary Wage/Salary Determination

8.2: Performance-Based Compensation: Designing Incentives for Operators to Drive Performance.

 8.3:  Performance-Based Compensation: Designing Incentives for Executives and CEOs to Drive Performance.


Facilities and Equipment

9.1: Facilities Layout and Design and Process

9.2: Layout Efficiency Improvements and Computer Software

9.3 Equipment Selection and Replacement – Engineering Economics

9.4: Improving OEE

9.5 U-Type Layout - Benefits



Planning and Scheduling Systems.

10.1: Optimization of Aggregate Planning

10.2: Optimization of Inventory in Manufacturing Systems.

10.3 Optimization of Scheduling

10.4: Supporting Lean Flow Production Strategies through planning and control.

10.5: Just-in-Time and Kanban Scheduling.

Section XI: Statistics and Operations Research, and Optimization.

11.1: Linear Programming Models and Cost Minimization

11.2 Tranportation and Assignment Models and Cost Minimization

11.3 Nonlinear programming models and Cost Minimization

11.4 Simulation for and Cost Minimization

11.5 New optimization techniques and Cost Minimization

Value Engineering

12.1 Introduction and Benefits

12.2 L.D. Miles Techniques

12.3 FAST

12.4 Value Engineering Case Studies

12.5 Value engineering in civil engineering and construction

Statistics
13.1 Statistical Process Control and Cost Minimization
13.2 Statistical Quality Control and Cost Minimization
13.3 Application Statistics in Work Sampling and Cost Minimization
13.4 Six Sigma Methods and and Cost Minimization
13.5 Lean Six Sigma Methods and Cost Minimization


Technology Efficiency Engineering

14.1 Industrial Engineering in Steel Plants
14.1 Industrial Engineering in Cement Plants
14.1 Industrial Engineering in Fertiliser Plants
14.1 Industrial Engineering in Car Manufacturing
14.1 Industrial Engineering in Aluminium Smelter Plant
14.1 Industrial Engineering in Paints Manufacturing
14.1 Industrial Engineering in Garment Manufacturing


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