Course Content
Data Collection & Questionnaire Design
Data Collection & Questionnaire Design
Sampling: Concept, Process, and Techniques
Sampling: Concept, Process, and Techniques
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Hypothesis Testing: Procedure
Hypothesis Testing: Procedure
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Operations Management: Role and Scope
Operations Management: Role and Scope
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Facility Location and Layout: Site Selection and Analysis, Layout Design and Process
Facility Location and Layout: Site Selection and Analysis, Layout Design and Process
Facility Location and Layout
Site Selection and Analysis, Layout Design and Process
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Enterprise Resource Planning: ERP Modules, ERP Implementation
Enterprise Resource Planning: ERP Modules, ERP Implementation
Scheduling: Loading, Sequencing, and Monitoring
Scheduling: Loading, Sequencing, and Monitoring
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Quality Management and Statistical Quality Control, Quality Circles, Total Quality Management – KAIZEN, Benchmarking, Six Sigma
Quality Management and Statistical Quality Control, Quality Circles, Total Quality Management – KAIZEN, Benchmarking, Six Sigma
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ISO 9000 Series Standards
ISO 9000 Series Standards
Unit VIII: Business Statistics and Operations Management

The Transportation Model in Operations Research follows a structured algorithmic sequence:

  1. Make a Transportation Table
    First, construct the transportation tableau by listing sources (supply), destinations (demand), and transportation costs. Balance the problem if total supply ≠ total demand.

  2. Find the basic feasible solution
    Obtain an initial feasible solution using methods such as Northwest Corner Rule, Least Cost Method, or Vogel’s Approximation Method.

  3. Perform Optimality Test
    Apply optimality testing techniques such as the MODI (u–v) method or Stepping Stone method to check whether the current solution is optimal.

  4. Iterate towards an optimal solution
    If the solution is not optimal, improve it by reallocating shipments along closed loops.

  5. Test for Optimality
    After iteration, re-test to confirm that all opportunity costs are non-negative (for minimization). If satisfied, the solution is optimal.

Thus, the correct procedural sequence is:

Transportation Table → Initial Basic Feasible Solution → Optimality Test → Improvement → Final Optimality Confirmation