東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Stochastic modelling in production p...

Hubl, Alexander.

Linked to FindBook

Google Book

Amazon

博客來

Stochastic modelling in production planning = methods for improvement and investigations on production system behaviour /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Stochastic modelling in production planning/ by Alexander Hubl.
Reminder of title:	methods for improvement and investigations on production system behaviour /
Author:	Hubl, Alexander.
Published:	Wiesbaden :Springer Fachmedien Wiesbaden : : 2018.,
Description:	xv, 139 p. :ill., digital ;24 cm.
[NT 15003449]:	Utilisation Concept -- Capacity Setting Methods -- Conwip -- Dispatching Rules.
Contained By:	Springer eBooks
Subject:	Decision making. -
Online resource:	http://dx.doi.org/10.1007/978-3-658-19120-7
ISBN:	9783658191207

Stochastic modelling in production planning = methods for improvement and investigations on production system behaviour /
Hubl, Alexander.

Stochastic modelling in production planningmethods for improvement and investigations on production system behaviour /[electronic resource] :by Alexander Hubl. - Wiesbaden :Springer Fachmedien Wiesbaden :2018. - xv, 139 p. :ill., digital ;24 cm.

Utilisation Concept -- Capacity Setting Methods -- Conwip -- Dispatching Rules.

Alexander Hubl 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 Hubl 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.

ISBN: 9783658191207

Standard No.: 10.1007/978-3-658-19120-7doiSubjects--Topical Terms:

517204
Decision making.

LC Class. No.: HD30.23

Dewey Class. No.: 658.403

Stochastic modelling in production planning = methods for improvement and investigations on production system behaviour /
LDR:02400nmm a2200325 a 4500 001 2130586
003 DE-He213
005 20170726114930.0
006 m d
007 cr nn 008maaau
008 181005s2018 gw s 0 eng d
020 $a 9783658191207 $q (electronic bk.)
020 $a 9783658191191 $q (paper)
024 7 $a 10.1007/978-3-658-19120-7 $2 doi
035 $a 978-3-658-19120-7
040 $a GP $c GP
041 0 $a eng
050 4 $a HD30.23
072 7 $a KJT $2 bicssc
072 7 $a KJMD $2 bicssc
072 7 $a BUS049000 $2 bisacsh
082 0 4 $a 658.403 $2 23
090 $a HD30.23 $b .H878 2018
100 1 $a Hubl, Alexander. $3 3295294
245 1 0 $a Stochastic modelling in production planning $h [electronic resource] : $b methods for improvement and investigations on production system behaviour / $c by Alexander Hubl.
260 $a Wiesbaden : $b Springer Fachmedien Wiesbaden : $b Imprint: Springer Gabler, $c 2018.
300 $a xv, 139 p. : $b ill., digital ; $c 24 cm.
505 0 $a Utilisation Concept -- Capacity Setting Methods -- Conwip -- Dispatching Rules.
520 $a Alexander Hubl 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 Hubl 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.
650 0 $a Decision making. $3 517204
650 0 $a Operations research. $3 547123
650 0 $a Production planning. $3 646356
650 0 $a Stochastic models. $3 764002
650 0 $a Production management. $3 518951
650 0 $a Business logistics. $3 648045
650 1 4 $a Business and Management. $2 eflch $3 1485455
650 2 4 $a Operation Research/Decision Theory. $3 1620900
650 2 4 $a Logistics. $3 783981
650 2 4 $a Production. $3 2203137
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-658-19120-7
950 $a Business and Management (Springer-41169)