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Article: A machine requirements planning problem in the design of manufacturing systems
| Title | A machine requirements planning problem in the design of manufacturing systems |
|---|---|
| Authors | |
| Issue Date | 1999 |
| Publisher | Taylor & Francis co-published with Taru Publications. The Journal's web site is located at http://www.tandfonline.com/toc/tios20/current |
| Citation | Journal of Information & Optimization Sciences, 1999, v. 20 n. 1, p. 17-39 How to Cite? |
| Abstract | This paper considers the problem of determining the optimal number of machines for various machine groups in a manufacturing system. The technique of genetic algorithms is proposed as a means of solving such a problem. A mathematical model is developed to describe the characteristics of the system. The performance of the proposed solution procedure is illustrated by using numerical examples. Indeed, it is shown that the genetic search procedure proposed in this paper is a powerful but simple means of effecting the optimal machine requirements planning in the design of manufacturing systems. |
| Persistent Identifier | http://hdl.handle.net/10722/74546 |
| ISSN |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Mak, KL | - |
| dc.contributor.author | Wong, YS | - |
| dc.date.accessioned | 2010-09-06T07:02:24Z | - |
| dc.date.available | 2010-09-06T07:02:24Z | - |
| dc.date.issued | 1999 | - |
| dc.identifier.citation | Journal of Information & Optimization Sciences, 1999, v. 20 n. 1, p. 17-39 | - |
| dc.identifier.issn | 0252-2667 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/74546 | - |
| dc.description.abstract | This paper considers the problem of determining the optimal number of machines for various machine groups in a manufacturing system. The technique of genetic algorithms is proposed as a means of solving such a problem. A mathematical model is developed to describe the characteristics of the system. The performance of the proposed solution procedure is illustrated by using numerical examples. Indeed, it is shown that the genetic search procedure proposed in this paper is a powerful but simple means of effecting the optimal machine requirements planning in the design of manufacturing systems. | - |
| dc.language | eng | - |
| dc.publisher | Taylor & Francis co-published with Taru Publications. The Journal's web site is located at http://www.tandfonline.com/toc/tios20/current | - |
| dc.relation.ispartof | Journal of Information & Optimization Sciences | - |
| dc.rights | PREPRINT This is a preprint of an article whose final and definitive form has been published in the [JOURNAL TITLE] [year of publication] [copyright Taylor & Francis]; [JOURNAL TITLE] is available online at: http://www.informaworld.com/smpp/ with the open URL of your article POSTPRINT This is an Accepted Manuscript of an article published by Taylor & Francis in [JOURNAL TITLE] on [date of publication], available online: http://wwww.tandfonline.com/[Article DOI] | - |
| dc.title | A machine requirements planning problem in the design of manufacturing systems | - |
| dc.type | Article | - |
| dc.identifier.openurl | http://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0252-2667&volume=20&issue=1&spage=17&epage=39&date=1999&atitle=A+machine+requirements+planning+problem+in+the+design+of+manfuacturing+systems | en_HK |
| dc.identifier.email | Mak, KL: makkl@hkucc.hku.hk | - |
| dc.identifier.authority | Mak, KL=rp00154 | - |
| dc.identifier.doi | 10.1080/02522667.1999.10699397 | - |
| dc.identifier.hkuros | 46994 | - |
| dc.identifier.volume | 20 | - |
| dc.identifier.issue | 1 | - |
| dc.identifier.spage | 17 | - |
| dc.identifier.epage | 39 | - |
| dc.publisher.place | India | - |
| dc.identifier.issnl | 0252-2667 | - |