🧱 Stepping Stone Method – Transportation Problems (CA Corporate Level)


🧱 Stepping Stone Method – Transportation Problems (CA Corporate Level)

📘 What is the Stepping Stone Method?

The Stepping Stone Method is a technique used to optimize a basic feasible solution of a transportation problem. It helps determine whether the current solution is optimal and identifies unused routes that can potentially reduce total transportation cost.


🎯 Objectives

  • 🚚 Optimize transportation cost

  • 📦 Evaluate unused (empty) routes

  • 🔁 Adjust current allocations for improvement

  • ✅ Move toward the optimal solution


🧮 Prerequisites

  • A balanced transportation table (total supply = total demand)

  • An initial basic feasible solution (IBFS) using methods like:

    • 🟨 Northwest Corner Method

    • 📉 Least Cost Method

    • 🔄 Vogel’s Approximation Method (VAM)


📐 Stepping Stone Method – Step-by-Step

Step 1: 🔍 Identify Unused Routes

Pick one unused (empty) cell in the transportation table.

Step 2: 🔁 Trace a Closed Path

Form a loop (closed path) starting and ending at the selected cell, moving horizontally and vertically (not diagonally) through allocated cells only.

Step 3: ➕➖ Assign Signs

Alternate + and – signs on each corner of the loop, starting with + at the unused cell.

Step 4: 💰 Calculate Net Cost Change

For each unused cell:

ΔC=(Cost at ’+’ cells)(Cost at ’–’ cells)\Delta C = \sum (\text{Cost at '+' cells}) - \sum (\text{Cost at '–' cells})

If ΔC < 0 → it means cost can be reduced by reallocating.

Step 5: 🔧 Reallocate Shipments

If ΔC is negative, adjust the allocations along the loop:

  • Add units to '+' cells

  • Subtract same units from '–' cells

  • The smallest allocation in '–' cells becomes the limiting factor

Step 6: 🔁 Repeat

Repeat the process until all ΔC ≥ 0 for all unused cells → then the solution is optimal.


📊 Example: Stepping Stone Method

Let’s consider a balanced transportation table with:

🚛 Supply & Demand:

D1 D2 D3 Supply
S1 4 6 8 20
S2 2 3 6 30
S3 1 5 7 25
Demand 30 25 20

🔢 Step A: Initial Basic Feasible Solution using Least Cost Method

D1 D2 D3 Supply
S1 4 (0) 6 (0) 8 (20) 0
S2 2 (30) 3 (0) 6 (0) 0
S3 1 (0) 5 (25) 7 (0) 0
Demand 0 0 0

Total Cost = (20×8) + (30×2) + (25×5) = ₹160 + ₹60 + ₹125 = ₹345


🔍 Step B: Evaluate Unused Cell (S3-D1)

Loop:

  • Start at S3-D1 (+)

  • Move right to S2-D1 (–)

  • Down to S2-D3 (+)

  • Left to S3-D3 (–)

Loop Costs:

  • S3-D1 = 1 (+)

  • S2-D1 = 2 (–)

  • S2-D3 = 6 (+)

  • S3-D3 = 7 (–)

ΔC=(1+6)(2+7)=79=2\Delta C = (1 + 6) - (2 + 7) = 7 - 9 = -2

Since ΔC is negative → there’s room for improvement


🔧 Step C: Reallocate Along Loop

Adjust minimum units from '–' cells. The minimum value is 0, so no reallocation possible for this path.

Repeat the same for other unused cells.


✅ Optimality Check

When all ΔC values for unused routes ≥ 0, the solution is optimal.


📝 Conclusion

The Stepping Stone Method is a systematic tool to improve the transportation cost in logistics and cost accounting. For CA Corporate Level, it’s a critical technique under Operations Research and Decision Analysis.


📌 Quick Recap

Concept Description
Loop Formation Closed path through allocated cells
EMV Formula ΔC = Total (+) cost – Total (–) cost
Improvement Decision If ΔC < 0 → Improve allocation
Stop When All ΔC ≥ 0 (Optimal solution)


📚 Explore More Notes:


Tags: #SteppingStoneMethod #TransportationProblem #Optimization #CACorporateLevel #CostAccounting #OperationsResearch #Comztube


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