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Wilson EOQ, with the math
Scenario

EOQ electronics example

Direct answer

Short-lifecycle electronics carry a steep obsolescence penalty. Typical carrying cost runs 30 to 40 percent: capital 8 to 10 percent, warehousing 2 to 4 percent, plus 20 to 25 percent obsolescence reflecting a 12 to 18 month sunset cycle[1]. Wilson applies during the stable life phase; at sunset, switch to a "last-time-buy" deterministic single-period model.

The worked example

Worked example
Mid-range component, 18-month lifecycle, current quarter
Inputs
Annual demand D6,000 units (stable phase)
Order cost S$150 / PO
Unit cost C$85
Carrying cost i (with 25 pp obsolescence)35%
Holding H = i*C$29.75 / unit / year
Result
Optimal order quantity
246 units
Annual holding$3,659
Annual ordering$3,659
Annual total (ex. purchase)$7,318
Takeaway: Q* about 246 units. Reorder every 15 days at this Q*. Aggressive carrying cost keeps cycle short; obsolescence penalty is doing most of the work.

Why 35 percent carrying cost

REM Associates puts industry-typical i at 20 to 30 percent baseline[2]. Electronics layers an obsolescence-write-down expectation on top: if 20 percent of stock is written off at end of cycle, the effective annualised obsolescence load is roughly 20 to 25 percentage points. That bumps total i to 35 to 40 percent for fast-depreciating SKUs.

When EOQ stops, last-time-buy starts

At 90 days before announced end-of-life, the planning horizon becomes finite and constant-D no longer holds. The right tool is the last-time-buy quantity: forecasted demand through end-of-service-life plus a service buffer, minus on-hand. EOQ’s repeating cycle assumption is the binding failure.