Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Optimizing Transport Logistics Proce...
~
SpringerLink (Online service)
Optimizing Transport Logistics Processes with Multiagent Planning and Control
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Optimizing Transport Logistics Processes with Multiagent Planning and Control/ by Max Gath.
Author:
Gath, Max.
Description:
XXIII, 279 p. 59 illus.online resource. :
Contained By:
Springer Nature eBook
Subject:
Computers. -
Online resource:
https://doi.org/10.1007/978-3-658-14003-8
ISBN:
9783658140038
Optimizing Transport Logistics Processes with Multiagent Planning and Control
Gath, Max.
Optimizing Transport Logistics Processes with Multiagent Planning and Control
[electronic resource] /by Max Gath. - 1st ed. 2016. - XXIII, 279 p. 59 illus.online resource. - Advanced Studies Mobile Research Center Bremen. - Advanced Studies Mobile Research Center Bremen.
Dispatching Problems in Transport Logistics -- Multiagent-Based Transport Planning and Control -- Case Studies in Groupage Traffic and Courier, Express, and Parcel Services.
Max Gath presents a multiagent system for the optimization of transport logistics in highly complex and dynamic domains. The described solution dynamically optimizes processes and provides a high flexibility, scalability, robustness, and adaptability to individual customer demands. The experimental evaluation points out the effectiveness and efficiency by using the example of commonly applied benchmarks as well as two case studies in groupage traffic and in courier, express, and parcel services with same-day deliveries. Both case studies were performed with leading transport companies in Germany. The results demonstrate that the multiagent-based solution satisfies domain-specific requirements and exploits high optimization potential in real-world processes. Contents Dispatching Problems in Transport Logistics Multiagent-Based Transport Planning and Control Case Studies in Groupage Traffic and Courier, Express, and Parcel Services Target Groups Researchers and practitioners in the fields of production and logistics as well as information and communication technology The Author Dr. Max Gath completed his doctoral degree at the Artificial Intelligence research group of TZI (Center for Communication and Information Technology), University of Bremen, Germany.
ISBN: 9783658140038
Standard No.: 10.1007/978-3-658-14003-8doiSubjects--Topical Terms:
565115
Computers.
LC Class. No.: QA75.5-76.95
Dewey Class. No.: 005.7
Optimizing Transport Logistics Processes with Multiagent Planning and Control
LDR
:02811nam a22003975i 4500
001
980441
003
DE-He213
005
20200702201834.0
007
cr nn 008mamaa
008
201211s2016 gw | s |||| 0|eng d
020
$a
9783658140038
$9
978-3-658-14003-8
024
7
$a
10.1007/978-3-658-14003-8
$2
doi
035
$a
978-3-658-14003-8
050
4
$a
QA75.5-76.95
072
7
$a
UT
$2
bicssc
072
7
$a
COM069000
$2
bisacsh
072
7
$a
UT
$2
thema
082
0 4
$a
005.7
$2
23
100
1
$a
Gath, Max.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1111277
245
1 0
$a
Optimizing Transport Logistics Processes with Multiagent Planning and Control
$h
[electronic resource] /
$c
by Max Gath.
250
$a
1st ed. 2016.
264
1
$a
Wiesbaden :
$b
Springer Fachmedien Wiesbaden :
$b
Imprint: Springer Vieweg,
$c
2016.
300
$a
XXIII, 279 p. 59 illus.
$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
490
1
$a
Advanced Studies Mobile Research Center Bremen
505
0
$a
Dispatching Problems in Transport Logistics -- Multiagent-Based Transport Planning and Control -- Case Studies in Groupage Traffic and Courier, Express, and Parcel Services.
520
$a
Max Gath presents a multiagent system for the optimization of transport logistics in highly complex and dynamic domains. The described solution dynamically optimizes processes and provides a high flexibility, scalability, robustness, and adaptability to individual customer demands. The experimental evaluation points out the effectiveness and efficiency by using the example of commonly applied benchmarks as well as two case studies in groupage traffic and in courier, express, and parcel services with same-day deliveries. Both case studies were performed with leading transport companies in Germany. The results demonstrate that the multiagent-based solution satisfies domain-specific requirements and exploits high optimization potential in real-world processes. Contents Dispatching Problems in Transport Logistics Multiagent-Based Transport Planning and Control Case Studies in Groupage Traffic and Courier, Express, and Parcel Services Target Groups Researchers and practitioners in the fields of production and logistics as well as information and communication technology The Author Dr. Max Gath completed his doctoral degree at the Artificial Intelligence research group of TZI (Center for Communication and Information Technology), University of Bremen, Germany.
650
0
$a
Computers.
$3
565115
650
0
$a
Applied mathematics.
$3
1069907
650
0
$a
Engineering mathematics.
$3
562757
650
1 4
$a
Information Systems and Communication Service.
$3
669203
650
2 4
$a
Mathematical and Computational Engineering.
$3
1139415
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783658140021
776
0 8
$i
Printed edition:
$z
9783658140045
830
0
$a
Advanced Studies Mobile Research Center Bremen
$3
1269409
856
4 0
$u
https://doi.org/10.1007/978-3-658-14003-8
912
$a
ZDB-2-SCS
912
$a
ZDB-2-SXCS
950
$a
Computer Science (SpringerNature-11645)
950
$a
Computer Science (R0) (SpringerNature-43710)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login