An inventory model for manufacturing systems with delivery time guarantees
An inventory model for manufacturing systems with delivery time guarantees
This paper studies optimal (s,S) policies for production planning in one-machine manufacturing systems. The machine produces one type of product with delivery time guarantees on the products offered to the customers. The inter-arrival time of the demand and the processing time for one unit of product are assumed to be exponentially distributed. The total delivery time (total lead time) consists of two parts: the cycle time and the delivery time. The cycle time is the time between the arrival of an order and the time requested product leaves the manufacturing system. The delivery time is the time from the manufacturing system to the customer. We model the delivery time by a shifted exponential distribution. Unbiased and consistent estimators are derived for this distribution. The analytical form of the steady state probability distribution for the inventory levels is derived. The average profit of the system can be written in terms of the resulting probability distribution. Hence the optimal (s,S) policy can be obtained by varying different possible values of s and S.
367-377
Ching, Wai Ki
cfee9d26-97e3-42ce-a4e9-b91e6d8aeef7
1998
Ching, Wai Ki
cfee9d26-97e3-42ce-a4e9-b91e6d8aeef7
Ching, Wai Ki
(1998)
An inventory model for manufacturing systems with delivery time guarantees.
Computers and Operations Research, 25 (5), .
(doi:10.1016/S0305-0548(97)00077-4).
Abstract
This paper studies optimal (s,S) policies for production planning in one-machine manufacturing systems. The machine produces one type of product with delivery time guarantees on the products offered to the customers. The inter-arrival time of the demand and the processing time for one unit of product are assumed to be exponentially distributed. The total delivery time (total lead time) consists of two parts: the cycle time and the delivery time. The cycle time is the time between the arrival of an order and the time requested product leaves the manufacturing system. The delivery time is the time from the manufacturing system to the customer. We model the delivery time by a shifted exponential distribution. Unbiased and consistent estimators are derived for this distribution. The analytical form of the steady state probability distribution for the inventory levels is derived. The average profit of the system can be written in terms of the resulting probability distribution. Hence the optimal (s,S) policy can be obtained by varying different possible values of s and S.
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Published date: 1998
Organisations:
Operational Research
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Local EPrints ID: 29744
URI: http://eprints.soton.ac.uk/id/eprint/29744
ISSN: 0305-0548
PURE UUID: 8c12dbb6-2661-4a1f-af85-6ccf0444df5a
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Date deposited: 19 Apr 2007
Last modified: 15 Mar 2024 07:34
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Author:
Wai Ki Ching
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