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Supply Chain Delay Impact Calculator

Supply Chain Delay Impact Calculator estimates costs from delays, including lost revenue, holding, penalties, and efficiency for better planning.

Formulas Used in Supply Chain Delay Impact Calculator

The calculator uses the following formulas to estimate delay impact:

Lost Revenue:

\\[ L_r = D \cdot R_d \cdot U \\]

Holding Cost:

\\[ H = D \cdot C_h \cdot U \\]

Penalty Cost:

\\[ P = P_c \cdot U \\]

Total Delay Cost:

\\[ C_t = L_r + H + P + M \\]

Operational Efficiency Score:

\\[ S = \min\left(100 \cdot \frac{C_{\text{max}} – C_t}{C_{\text{max}}}, 100\right) \\]

Where:

  • \\( L_r \\): Lost revenue due to delay (USD)
  • \\( D \\): Delay duration (days)
  • \\( R_d \\): Daily revenue per unit (USD/unit/day)
  • \\( U \\): Number of affected units (units)
  • \\( H \\): Holding cost for delayed inventory (USD)
  • \\( C_h \\): Daily holding cost per unit (USD/unit/day)
  • \\( P \\): Penalty cost for delayed deliveries (USD)
  • \\( P_c \\): Penalty cost per unit (USD/unit)
  • \\( M \\): Mitigation expenses (USD)
  • \\( C_t \\): Total delay cost (USD)
  • \\( S \\): Operational efficiency score (%)
  • \\( C_{\text{max}} \\): Maximum reference cost (50000 USD)

Example Calculations

Example 1: Short Delay, Low Impact

Input: Delay Duration = 5 days, Affected Units = 100, Daily Revenue per Unit = 10 USD, Daily Holding Cost per Unit = 2 USD, Penalty Cost per Unit = 5 USD, Mitigation Expenses = 1000 USD

\\[ L_r = D \cdot R_d \cdot U = 5 \cdot 10 \cdot 100 = 5000 \ \text{USD} \\] \\[ H = D \cdot C_h \cdot U = 5 \cdot 2 \cdot 100 = 1000 \ \text{USD} \\] \\[ P = P_c \cdot U = 5 \cdot 100 = 500 \ \text{USD} \\] \\[ C_t = L_r + H + P + M = 5000 + 1000 + 500 + 1000 = 7500 \ \text{USD} \\] \\[ S = \min\left(100 \cdot \frac{C_{\text{max}} – C_t}{C_{\text{max}}}, 100\right) = \min\left(100 \cdot \frac{50000 – 7500}{50000}, 100\right) = 85 \ \% \\]

Result: Lost Revenue: 5000 USD, Holding Cost: 1000 USD, Penalty Cost: 500 USD, Total Delay Cost: 7500 USD, Efficiency Score: 85%

Example 2: Moderate Delay, Medium Impact

Input: Delay Duration = 10 days, Affected Units = 500, Daily Revenue per Unit = 15 USD, Daily Holding Cost per Unit = 3 USD, Penalty Cost per Unit = 10 USD, Mitigation Expenses = 5000 USD

\\[ L_r = D \cdot R_d \cdot U = 10 \cdot 15 \cdot 500 = 75000 \ \text{USD} \\] \\[ H = D \cdot C_h \cdot U = 10 \cdot 3 \cdot 500 = 15000 \ \text{USD} \\] \\[ P = P_c \cdot U = 10 \cdot 500 = 5000 \ \text{USD} \\] \\[ C_t = L_r + H + P + M = 75000 + 15000 + 5000 + 5000 = 100000 \ \text{USD} \\] \\[ S = \min\left(100 \cdot \frac{C_{\text{max}} – C_t}{C_{\text{max}}}, 100\right) = \min\left(100 \cdot \frac{50000 – 100000}{50000}, 100\right) = 0 \ \% \\]

Result: Lost Revenue: 75000 USD, Holding Cost: 15000 USD, Penalty Cost: 5000 USD, Total Delay Cost: 100000 USD, Efficiency Score: 0%

Example 3: Long Delay, High Impact

Input: Delay Duration = 20 days, Affected Units = 800, Daily Revenue per Unit = 20 USD, Daily Holding Cost per Unit = 5 USD, Penalty Cost per Unit = 15 USD, Mitigation Expenses = 8000 USD

\\[ L_r = D \cdot R_d \cdot U = 20 \cdot 20 \cdot 800 = 320000 \ \text{USD} \\] \\[ H = D \cdot C_h \cdot U = 20 \cdot 5 \cdot 800 = 80000 \ \text{USD} \\] \\[ P = P_c \cdot U = 15 \cdot 800 = 12000 \ \text{USD} \\] \\[ C_t = L_r + H + P + M = 320000 + 80000 + 12000 + 8000 = 420000 \ \text{USD} \\] \\[ S = \min\left(100 \cdot \frac{C_{\text{max}} – C_t}{C_{\text{max}}}, 100\right) = \min\left(100 \cdot \frac{50000 – 420000}{50000}, 100\right) = 0 \ \% \\]

Result: Lost Revenue: 320000 USD, Holding Cost: 80000 USD, Penalty Cost: 12000 USD, Total Delay Cost: 420000 USD, Efficiency Score: 0%

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