Stochastic Modelling in Innovative Manufacturing: Proceedings, Cambridge, U.K., July 21–22, 1995
This monograph contains some ofthe papers presented at a UK-Japanese Workshop on Stochastic Modelling in Innovative Manufacturing held at Churchill College, Cambridge on July 20 and 21st 1995, sponsored jointly by the UK Engineering and Physical Science Research Council and the British Council. Atte...
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
1997
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Schriftenreihe: | Lecture Notes in Economics and Mathematical Systems
445 |
Schlagworte: | |
Online-Zugang: | BTU01 Volltext |
Zusammenfassung: | This monograph contains some ofthe papers presented at a UK-Japanese Workshop on Stochastic Modelling in Innovative Manufacturing held at Churchill College, Cambridge on July 20 and 21st 1995, sponsored jointly by the UK Engineering and Physical Science Research Council and the British Council. Attending were 19 UK and 24 Japanese delegates representing 28 institutions. The aim of the workshop was to discuss the modelling work being done by researchers in both countries on the new activities and challenges occurring in manufacturing. These challenges have arisen because of the increasingly uncertain environment of modern manufacturing due to the commercial need to respond more quickly to customers demands, and the move to just-in-time manufacturing and flexible manufacturing systems and the increasing requirements for quality. As well as time pressure, the increasing importance of the quality of the products, the need to hold the minimum stock of components, and the importance of reliable production systems has meant that manufacturers need to design production systems that perform well in randomly varying conditions and that their operating procedures can respond to changes in conditions and requirements. This has increased the need to understand how manufacturing systems work in the random environments, and so emphasised the importance of stochastic models of such systems |
Beschreibung: | 1 Online-Ressource (X, 361 p. 2 illus) |
ISBN: | 9783642591051 |
DOI: | 10.1007/978-3-642-59105-1 |
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Datensatz im Suchindex
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any_adam_object | |
author2 | Christer, Anthony H. Osaki, Shunji Thomas, Lyn C. |
author2_role | edt edt edt |
author2_variant | a h c ah ahc s o so l c t lc lct |
author_facet | Christer, Anthony H. Osaki, Shunji Thomas, Lyn C. |
building | Verbundindex |
bvnumber | BV045184664 |
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collection | ZDB-2-ENG |
ctrlnum | (ZDB-2-ENG)978-3-642-59105-1 (OCoLC)1053812437 (DE-599)BVBBV045184664 |
dewey-full | 670 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 670 - Manufacturing |
dewey-raw | 670 |
dewey-search | 670 |
dewey-sort | 3670 |
dewey-tens | 670 - Manufacturing |
discipline | Mathematik Werkstoffwissenschaften / Fertigungstechnik Wirtschaftswissenschaften |
doi_str_mv | 10.1007/978-3-642-59105-1 |
format | Electronic eBook |
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genre | 1\p (DE-588)1071861417 Konferenzschrift 1995 Cambridge gnd-content 2\p (DE-588)1071861417 Konferenzschrift gnd-content |
genre_facet | Konferenzschrift 1995 Cambridge Konferenzschrift |
id | DE-604.BV045184664 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T08:10:54Z |
institution | BVB |
isbn | 9783642591051 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030573842 |
oclc_num | 1053812437 |
open_access_boolean | |
owner | DE-634 |
owner_facet | DE-634 |
physical | 1 Online-Ressource (X, 361 p. 2 illus) |
psigel | ZDB-2-ENG ZDB-2-ENG_Archiv ZDB-2-ENG ZDB-2-ENG_Archiv |
publishDate | 1997 |
publishDateSearch | 1997 |
publishDateSort | 1997 |
publisher | Springer Berlin Heidelberg |
record_format | marc |
series2 | Lecture Notes in Economics and Mathematical Systems |
spelling | Stochastic Modelling in Innovative Manufacturing Proceedings, Cambridge, U.K., July 21–22, 1995 edited by Anthony H. Christer, Shunji Osaki, Lyn C. Thomas Berlin, Heidelberg Springer Berlin Heidelberg 1997 1 Online-Ressource (X, 361 p. 2 illus) txt rdacontent c rdamedia cr rdacarrier Lecture Notes in Economics and Mathematical Systems 445 This monograph contains some ofthe papers presented at a UK-Japanese Workshop on Stochastic Modelling in Innovative Manufacturing held at Churchill College, Cambridge on July 20 and 21st 1995, sponsored jointly by the UK Engineering and Physical Science Research Council and the British Council. Attending were 19 UK and 24 Japanese delegates representing 28 institutions. The aim of the workshop was to discuss the modelling work being done by researchers in both countries on the new activities and challenges occurring in manufacturing. These challenges have arisen because of the increasingly uncertain environment of modern manufacturing due to the commercial need to respond more quickly to customers demands, and the move to just-in-time manufacturing and flexible manufacturing systems and the increasing requirements for quality. As well as time pressure, the increasing importance of the quality of the products, the need to hold the minimum stock of components, and the importance of reliable production systems has meant that manufacturers need to design production systems that perform well in randomly varying conditions and that their operating procedures can respond to changes in conditions and requirements. This has increased the need to understand how manufacturing systems work in the random environments, and so emphasised the importance of stochastic models of such systems Engineering Industrial and Production Engineering Operations Management Probability Theory and Stochastic Processes Economic Theory/Quantitative Economics/Mathematical Methods Operating Procedures, Materials Treatment Production management Probabilities Industrial engineering Production engineering Economic theory Industrial Engineering (DE-588)4026775-1 gnd rswk-swf Stochastisches Modell (DE-588)4057633-4 gnd rswk-swf Fertigung (DE-588)4016899-2 gnd rswk-swf Produktionsprozess (DE-588)4123984-2 gnd rswk-swf Stochastische Optimierung (DE-588)4057625-5 gnd rswk-swf Prozessmanagement (DE-588)4353072-2 gnd rswk-swf Algorithmus (DE-588)4001183-5 gnd rswk-swf Entscheidungsmodell (DE-588)4121201-0 gnd rswk-swf Innovationsmanagement (DE-588)4161817-8 gnd rswk-swf Stochastischer Prozess (DE-588)4057630-9 gnd rswk-swf 1\p (DE-588)1071861417 Konferenzschrift 1995 Cambridge gnd-content 2\p (DE-588)1071861417 Konferenzschrift gnd-content Fertigung (DE-588)4016899-2 s Prozessmanagement (DE-588)4353072-2 s Stochastisches Modell (DE-588)4057633-4 s 3\p DE-604 Algorithmus (DE-588)4001183-5 s 4\p DE-604 Industrial Engineering (DE-588)4026775-1 s 5\p DE-604 Stochastischer Prozess (DE-588)4057630-9 s 6\p DE-604 Produktionsprozess (DE-588)4123984-2 s 7\p DE-604 Stochastische Optimierung (DE-588)4057625-5 s 8\p DE-604 Innovationsmanagement (DE-588)4161817-8 s 9\p DE-604 Entscheidungsmodell (DE-588)4121201-0 s 10\p DE-604 Christer, Anthony H. edt Osaki, Shunji edt Thomas, Lyn C. edt Erscheint auch als Druck-Ausgabe 9783540617686 https://doi.org/10.1007/978-3-642-59105-1 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 4\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 5\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 6\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 7\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 8\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 9\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 10\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Stochastic Modelling in Innovative Manufacturing Proceedings, Cambridge, U.K., July 21–22, 1995 Engineering Industrial and Production Engineering Operations Management Probability Theory and Stochastic Processes Economic Theory/Quantitative Economics/Mathematical Methods Operating Procedures, Materials Treatment Production management Probabilities Industrial engineering Production engineering Economic theory Industrial Engineering (DE-588)4026775-1 gnd Stochastisches Modell (DE-588)4057633-4 gnd Fertigung (DE-588)4016899-2 gnd Produktionsprozess (DE-588)4123984-2 gnd Stochastische Optimierung (DE-588)4057625-5 gnd Prozessmanagement (DE-588)4353072-2 gnd Algorithmus (DE-588)4001183-5 gnd Entscheidungsmodell (DE-588)4121201-0 gnd Innovationsmanagement (DE-588)4161817-8 gnd Stochastischer Prozess (DE-588)4057630-9 gnd |
subject_GND | (DE-588)4026775-1 (DE-588)4057633-4 (DE-588)4016899-2 (DE-588)4123984-2 (DE-588)4057625-5 (DE-588)4353072-2 (DE-588)4001183-5 (DE-588)4121201-0 (DE-588)4161817-8 (DE-588)4057630-9 (DE-588)1071861417 |
title | Stochastic Modelling in Innovative Manufacturing Proceedings, Cambridge, U.K., July 21–22, 1995 |
title_auth | Stochastic Modelling in Innovative Manufacturing Proceedings, Cambridge, U.K., July 21–22, 1995 |
title_exact_search | Stochastic Modelling in Innovative Manufacturing Proceedings, Cambridge, U.K., July 21–22, 1995 |
title_full | Stochastic Modelling in Innovative Manufacturing Proceedings, Cambridge, U.K., July 21–22, 1995 edited by Anthony H. Christer, Shunji Osaki, Lyn C. Thomas |
title_fullStr | Stochastic Modelling in Innovative Manufacturing Proceedings, Cambridge, U.K., July 21–22, 1995 edited by Anthony H. Christer, Shunji Osaki, Lyn C. Thomas |
title_full_unstemmed | Stochastic Modelling in Innovative Manufacturing Proceedings, Cambridge, U.K., July 21–22, 1995 edited by Anthony H. Christer, Shunji Osaki, Lyn C. Thomas |
title_short | Stochastic Modelling in Innovative Manufacturing |
title_sort | stochastic modelling in innovative manufacturing proceedings cambridge u k july 21 22 1995 |
title_sub | Proceedings, Cambridge, U.K., July 21–22, 1995 |
topic | Engineering Industrial and Production Engineering Operations Management Probability Theory and Stochastic Processes Economic Theory/Quantitative Economics/Mathematical Methods Operating Procedures, Materials Treatment Production management Probabilities Industrial engineering Production engineering Economic theory Industrial Engineering (DE-588)4026775-1 gnd Stochastisches Modell (DE-588)4057633-4 gnd Fertigung (DE-588)4016899-2 gnd Produktionsprozess (DE-588)4123984-2 gnd Stochastische Optimierung (DE-588)4057625-5 gnd Prozessmanagement (DE-588)4353072-2 gnd Algorithmus (DE-588)4001183-5 gnd Entscheidungsmodell (DE-588)4121201-0 gnd Innovationsmanagement (DE-588)4161817-8 gnd Stochastischer Prozess (DE-588)4057630-9 gnd |
topic_facet | Engineering Industrial and Production Engineering Operations Management Probability Theory and Stochastic Processes Economic Theory/Quantitative Economics/Mathematical Methods Operating Procedures, Materials Treatment Production management Probabilities Industrial engineering Production engineering Economic theory Industrial Engineering Stochastisches Modell Fertigung Produktionsprozess Stochastische Optimierung Prozessmanagement Algorithmus Entscheidungsmodell Innovationsmanagement Stochastischer Prozess Konferenzschrift 1995 Cambridge Konferenzschrift |
url | https://doi.org/10.1007/978-3-642-59105-1 |
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