Natural gas local distribution companies (LDCs) face the problem of ma
naging natural gas purchases under conditions of uncertain demand and
frequent price change. In this paper, we present a stochastic optimiza
tion model to solve this problem. Unlike other models, this model expl
icitly considers deliverability, the rate at which gas can be added to
and withdrawn from a storage facility, as a variable, and considers i
ts role in ensuring a secure supply of gas. Deliverability is often ov
erlooked in gas supply planning, yet is a critical factor in achieving
a secure gas supply. Using data from an LDC in Huntsville, Alabama, w
e show how this model can be used to minimize total cost while meeting
constraints regarding the security of gas supply. We also demonstrate
that security is dependent on the rate of deliverability, which in tu
rn is affected by a number of factors including gas availability, stor
age and transportation considerations, and weather conditions. Copyrig
ht (C) 1996 Elsevier Science Ltd