In the late 1980s, grain;hauling railroads began offering alternatives that
have made shipping decisions more strategic. Shippers now confront alterna
tives ranging from nearby and unguaranteed ordering to various durations of
forward and guaranteed shipment. Each has varying penalties for cancellati
on and payments from the railroad for nonperformance, and differing risks a
nd payoffs. Because of the configuration of choices, shippers confront a po
rtfolio of shipping alternatives. A dynamic stochastic simulation model was
developed to analyze alternative strategies. The model includes the effect
s of uncertainties in tariff rate changes, car premiums, basis levels, forw
ard and spot grain purchases, and receiving railcars under each of three al
ternatives. Shipping demand is determined by inter-month commodity price di
fferences, carrying costs, transport costs, and storage capacity. Consideri
ng these factors, the shipper chooses grain sales and shipping strategies t
hat maximize net payoffs and confronts a tradeoff between expected profits
and risk.