This paper studies optimal (s,S) policies for production planning in o
ne-machine manufacturing systems. The machine produces one type of pro
duct with delivery time guarantees on the products offered to the cust
omers. The inter-arrival time of the demand and the processing time fo
r one unit of product are assumed to be exponentially distributed. The
total delivery time (total lead time) consists of two parts: the cycl
e time and the delivery time. The cycle time is the time between the a
rrival of an order and the time requested product leaves the manufactu
ring system. The delivery time is the time from the manufacturing syst
em to the customer. We model the delivery time by a shifted exponentia
l distribution Unbiased and consistent estimators are derived for this
distribution. The analytical form of the steady state probability dis
tribution for the inventory levels is derived. The average profit of t
he system can be written in terms of the resulting probability distrib
ution. Hence the optimal (s,S) policy can be obtained by varying diffe
rent possible values of s and S. (C) 1998 Elsevier Science Ltd. All ri
ghts reserved.