File Download
There are no files associated with this item.
Supplementary
-
Citations:
- Scopus: 0
- Appears in Collections:
Conference Paper: Optimal (s, S) policies for manufacturing systems of unreliable machines in tandem
Title | Optimal (s, S) policies for manufacturing systems of unreliable machines in tandem |
---|---|
Authors | |
Issue Date | 1998 |
Citation | Proceedings Of The Annual Reliability And Maintainability Symposium, 1998, p. 365-371 How to Cite? |
Abstract | This paper studies optimal (s, S) policies for production planning in manufacturing systems of unreliable machines in tandem. The manufacturing system produces one type of product. This type of manufacturing system occurs in many applications. In our study we assume that the inter-arrival time of a demand and processing time for one product in each machine are exponentially distributed. Each machine is unreliable and is subject to a sequence of repairing processes when it is broken down. The up time and the repairing time in each phase are assumed to be exponentially distributed. We study the manufacturing system by considering each machine as an individual system with random supply and demand. The Markov-Modulated Poisson Process (MMPP) is used to model the random process of supply. For each machine, we obtain the approximated optimal (s, S) policies which minimizes the average running cost of its buffer. |
Persistent Identifier | http://hdl.handle.net/10722/158853 |
ISSN | 2020 SCImago Journal Rankings: 0.194 |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ching, Wai Ki | en_US |
dc.date.accessioned | 2012-08-08T09:03:55Z | - |
dc.date.available | 2012-08-08T09:03:55Z | - |
dc.date.issued | 1998 | en_US |
dc.identifier.citation | Proceedings Of The Annual Reliability And Maintainability Symposium, 1998, p. 365-371 | en_US |
dc.identifier.issn | 0149-144X | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/158853 | - |
dc.description.abstract | This paper studies optimal (s, S) policies for production planning in manufacturing systems of unreliable machines in tandem. The manufacturing system produces one type of product. This type of manufacturing system occurs in many applications. In our study we assume that the inter-arrival time of a demand and processing time for one product in each machine are exponentially distributed. Each machine is unreliable and is subject to a sequence of repairing processes when it is broken down. The up time and the repairing time in each phase are assumed to be exponentially distributed. We study the manufacturing system by considering each machine as an individual system with random supply and demand. The Markov-Modulated Poisson Process (MMPP) is used to model the random process of supply. For each machine, we obtain the approximated optimal (s, S) policies which minimizes the average running cost of its buffer. | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | Proceedings of the Annual Reliability and Maintainability Symposium | en_US |
dc.title | Optimal (s, S) policies for manufacturing systems of unreliable machines in tandem | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Ching, Wai Ki:wching@hku.hk | en_US |
dc.identifier.authority | Ching, Wai Ki=rp00679 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.scopus | eid_2-s2.0-0031675599 | en_US |
dc.identifier.spage | 365 | en_US |
dc.identifier.epage | 371 | en_US |
dc.publisher.place | United States | en_US |
dc.identifier.scopusauthorid | Ching, Wai Ki=13310265500 | en_US |
dc.identifier.issnl | 0149-144X | - |