大葉大學圖書館 |

Optimizing transport logistics processes with multiagent planning and control[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	388
書名/作者:	Optimizing transport logistics processes with multiagent planning and control/ by Max Gath.
作者:	Gath, Max.
出版者:	Wiesbaden : : Springer Fachmedien Wiesbaden :, 2016.
面頁冊數:	xxiii, 279 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Transportation - Planning.
標題:	Shipment of goods.
標題:	Computer Science.
標題:	Information Systems and Communication Service.
標題:	Appl.Mathematics/Computational Methods of Engineering.
ISBN:	9783658140038
ISBN:	9783658140021
內容註:	Dispatching Problems in Transport Logistics -- Multiagent-Based Transport Planning and Control -- Case Studies in Groupage Traffic and Courier, Express, and Parcel Services.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-658-14003-8

Optimizing transport logistics processes with multiagent planning and control[electronic resource] /
Gath, Max.

Optimizing transport logistics processes with multiagent planning and control[electronic resource] /by Max Gath. - Wiesbaden :Springer Fachmedien Wiesbaden :2016. - xxiii, 279 p. :ill., digital ;24 cm. - 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:

612784
Transportation
--Planning.

LC Class. No.: HE192.5 / .G48 2016

Dewey Class. No.: 388

Optimizing transport logistics processes with multiagent planning and control[electronic resource] /
LDR:02501nmm a2200337 a 4500 001 462038
003 DE-He213
005 20161215141326.0
006 m d
007 cr nn 008maaau
008 170223s2016 gw s 0 eng d
020 $a 9783658140038 $q (electronic bk.)
020 $a 9783658140021 $q (paper)
024 7 $a 10.1007/978-3-658-14003-8 $2 doi
035 $a 978-3-658-14003-8
040 $a GP $c GP
041 0 $a eng
050 4 $a HE192.5 $b .G48 2016
072 7 $a UT $2 bicssc
072 7 $a COM069000 $2 bisacsh
072 7 $a COM032000 $2 bisacsh
082 0 4 $a 388 $2 23
090 $a HE192.5 $b .G259 2016
100 1 $a Gath, Max. $3 666257
245 1 0 $a Optimizing transport logistics processes with multiagent planning and control $h [electronic resource] / $c by Max Gath.
260 $a Wiesbaden : $b Springer Fachmedien Wiesbaden : $b Imprint: Springer Vieweg, $c 2016.
300 $a xxiii, 279 p. : $b ill., digital ; $c 24 cm.
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 Transportation $x Planning. $3 612784
650 0 $a Shipment of goods. $3 466780
650 1 4 $a Computer Science. $3 423143
650 2 4 $a Information Systems and Communication Service. $3 463678
650 2 4 $a Appl.Mathematics/Computational Methods of Engineering. $3 463859
710 2 $a SpringerLink (Online service) $3 463450
773 0 $t Springer eBooks
830 0 $a Advanced studies mobile research center Bremen. $3 666258
856 4 0 $u http://dx.doi.org/10.1007/978-3-658-14003-8
950 $a Computer Science (Springer-11645)