|
|
|
|
| LEADER |
00000cam a2200000Ii 4500 |
| 001 |
11541463 |
| 005 |
20210625184036.8 |
| 006 |
m o d |
| 007 |
cr nn|008mamaa |
| 008 |
170726s2018 gw a ob 000 0 eng d |
| 019 |
|
|
|a 995357773
|a 999484412
|a 999690346
|
| 020 |
|
|
|a 9783658191207
|q (electronic bk.)
|
| 020 |
|
|
|a 3658191201
|q (electronic bk.)
|
| 020 |
|
|
|z 9783658191191
|
| 020 |
|
|
|z 3658191198
|
| 024 |
7 |
|
|a 10.1007/978-3-658-19120-7
|2 doi
|
| 035 |
|
|
|a (OCoLC)1000578365
|z (OCoLC)995357773
|z (OCoLC)999484412
|z (OCoLC)999690346
|
| 035 |
|
9 |
|a (OCLCCM-CC)1000578365
|
| 040 |
|
|
|a NJR
|b eng
|e pn
|c NJR
|d YDX
|d N$T
|d OCLCO
|d N$T
|d OCLCF
|d MERER
|d OCLCQ
|d UAB
|d OCLCQ
|d U3W
|d CAUOI
|d SNK
|d OCLCQ
|d WYU
|d LVT
|d BRX
|d AUD
|d OCLCQ
|d U@J
|
| 049 |
|
|
|a MAIN
|
| 050 |
|
4 |
|a HD30.23
|
| 072 |
|
7 |
|a BUS
|x 082000
|2 bisacsh
|
| 072 |
|
7 |
|a BUS
|x 041000
|2 bisacsh
|
| 072 |
|
7 |
|a BUS
|x 042000
|2 bisacsh
|
| 072 |
|
7 |
|a BUS
|x 085000
|2 bisacsh
|
| 100 |
1 |
|
|a Hübl, Alexander,
|e author.
|
| 245 |
1 |
0 |
|a Stochastic modelling in production planning :
|b methods for improvement and investigations on production system behaviour /
|c by Alexander Hübl.
|
| 264 |
|
1 |
|a Wiesbaden :
|b Springer Gabler,
|c 2018.
|
| 300 |
|
|
|a 1 online resource (XV, 139 pages 19 illustrations, 12 illustrations in color.) :
|b online resource
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 347 |
|
|
|a text file
|b PDF
|2 rda
|
| 504 |
|
|
|a Includes bibliographical references.
|
| 520 |
|
|
|a Alexander Hübl develops models for production planning and analyzes performance indicators to investigate production system behaviour. He extends existing literature by considering the uncertainty of customer required lead time and processing times as well as by increasing the complexity of multi-machine multi-items production models. Results are on the one hand a decision support system for determining capacity and the further development of the production planning method Conwip. On the other hand, the author develops the JIT intensity and analytically proves the effects of dispatching rules on production lead time. Contents Utilisation Concept Capacity Setting Methods Conwip Dispatching Rules Target Groups Researchers and students in the fields of logistics and operations management Practitioners in production planning, logistics, capacity planning The Author Alexander Hübl holds a PhD in logistics and operations management from University of Vienna, Austria. He leads the research group Supply Chain Planning at the department Logistikum at the University of Applied Sciences Upper Austria. His research interests include discrete event simulation, agent-based simulation, queuing theory, stochastic modelling and their applications in logistics and operations management.
|
| 505 |
0 |
|
|a Utilisation Concept -- Capacity Setting Methods -- Conwip -- Dispatching Rules.
|
| 588 |
0 |
|
|a Vendor-supplied metadata.
|
| 650 |
|
0 |
|a Decision making.
|0 http://id.loc.gov/authorities/subjects/sh85036199
|
| 650 |
|
0 |
|a Operations research.
|0 http://id.loc.gov/authorities/subjects/sh85095020
|
| 650 |
|
0 |
|a Production planning.
|0 http://id.loc.gov/authorities/subjects/sh85107219
|
| 650 |
|
0 |
|a Stochastic models.
|0 http://id.loc.gov/authorities/subjects/sh2005004376
|
| 650 |
|
0 |
|a Production management.
|0 http://id.loc.gov/authorities/subjects/sh85107216
|
| 650 |
|
0 |
|a Business logistics.
|0 http://id.loc.gov/authorities/subjects/sh85018306
|
| 650 |
|
7 |
|a BUSINESS & ECONOMICS
|x Industrial Management.
|2 bisacsh
|
| 650 |
|
7 |
|a BUSINESS & ECONOMICS
|x Management.
|2 bisacsh
|
| 650 |
|
7 |
|a BUSINESS & ECONOMICS
|x Management Science.
|2 bisacsh
|
| 650 |
|
7 |
|a BUSINESS & ECONOMICS
|x Organizational Behavior.
|2 bisacsh
|
| 650 |
|
7 |
|a Business logistics.
|2 fast
|0 (OCoLC)fst00842759
|
| 650 |
|
7 |
|a Decision making.
|2 fast
|0 (OCoLC)fst00889035
|
| 650 |
|
7 |
|a Operations research.
|2 fast
|0 (OCoLC)fst01046387
|
| 650 |
|
7 |
|a Production management.
|2 fast
|0 (OCoLC)fst01078309
|
| 650 |
|
7 |
|a Production planning.
|2 fast
|0 (OCoLC)fst01078339
|
| 650 |
|
7 |
|a Stochastic models.
|2 fast
|0 (OCoLC)fst01737780
|
| 655 |
|
0 |
|a Electronic books.
|
| 655 |
|
4 |
|a Electronic books.
|
| 776 |
0 |
8 |
|i Print version:
|a Hübl, Alexander.
|t Stochastic modelling in production planning.
|d Wiesbaden : Springer Gabler, 2018
|z 3658191198
|z 9783658191191
|w (OCoLC)994849183
|
| 903 |
|
|
|a HeVa
|
| 929 |
|
|
|a oclccm
|
| 999 |
f |
f |
|i 13fc6348-77f8-5c5c-b0a7-1d2c59508cb2
|s d063574c-098a-5cb0-8c27-d1ccd8917301
|
| 928 |
|
|
|t Library of Congress classification
|a HD30.23
|l Online
|c UC-FullText
|u https://link.springer.com/10.1007/978-3-658-19120-7
|z Springer Nature
|g ebooks
|i 12547527
|
