A classical inventory problem is studied from the perspective of embedded
options, reducing inventory-management to the design of optimal contracts for
forward delivery of stock (commodity). Financial option techniques `{a} la
Black-Scholes are invoked to value the additional option to expand stock'. A simplified approach which ignores distant time effects identifies an optimal time to deliver’ and an optimal amount to deliver' for a production process run in continuous time modelled by a Cobb-Douglas revenue function. Commodity prices, quoted in initial value terms, are assumed to evolve as a geometric Brownian process with positive drift. Expected revenue maximization identifies an optimal strike price’ for the expansion option to be exercised, and
uncovers the underlying martingale in a truncated (censored) commodity price.
The paper establishes comparative statics of the censor in terms of drift and
volatility, and uses asymptotic approximation for a tractable analysis of the
optimal timing.

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