(9) — the risk-neutral SF objective in closed form
ProvedMixFlex.RiskNeutral.sf_objective_eqflexibilitynewsvendorp2o-batch-p200ap2o-gran-per-chapterp2o-plan-paperp2o-v1unreliable-supply
In the SF network of the mission's model, let be total demand, the flexible resource's marginal total cost and the flexible investment. Then
This is equation (9) of the paper: the SF problem is a single-product newsvendor problem with Bernoulli investment failures, whose expected cost is the committed cost plus the delivered cost weighted by , and whose expected revenue is .
Formalization Note The paper writes ; since no density is assumed, it is rendered as , which equals it for a nonnegative with a density.
Preamble
import Mathlib import Definitions.Def_MixFlex_RiskNeutral_Model
Formal statement
namespace MixFlex.RiskNeutral
open MeasureTheory ProbabilityTheory
/-- (9), p. 41: the risk-neutral SF objective in closed form. The density integral
`∫_0^K x f(x) dx` is written as `E[S · 1{S ≤ K}]` with `S = X_1 + ⋯ + X_N`. -/
theorem sf_objective_eq (P : Params) (hP : P.Standing) {N : ℕ} {Ω : Type*} [MeasurableSpace Ω]
(μ : Measure Ω) (X : Ω → Fin N → ℝ) (Y : Ω → Fin (N + 1) → ℝ) (hS : Setting P μ X Y)
(cF K : ℝ) (hK : 0 ≤ K) :
vSF P μ X Y cF K =
-(P.lam + (1 - P.lam) * P.theta) * cF * K
+ P.theta * P.p * ((∫ ω, (∑ n, X ω n) * (if ∑ n, X ω n ≤ K then 1 else 0) ∂μ)
+ K * (1 - μ.real {ω | ∑ n, X ω n ≤ K})) := by sorry
end MixFlex.RiskNeutral
Source
Tomlin and Wang, On the value of mix flexibility and dual sourcing in unreliable newsvendor networks, Manufacturing Service Oper. Management 7(1), 2005, p. 41, §3.1, (9)
Human review
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.