Intelligent Decision Support and Big Data for Logistics and Supply Chain Management: A Biased View

Stefan  Voss; Hans-Jürgen  Sebastian; Julia Pahl

doi:10.24251/HICSS.2017.159

Intelligent Decision Support and Big Data for Logistics and Supply Chain Management: A Biased View

Stefan Voss, Hans-Jürgen Sebastian, Julia Pahl

Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning

Abstrakt

Intelligent Decision Support and Big Data for Logistics and Supply Chain Management” features theoretical developments, real-world applications and information systems related to solving decision problems in logistics and supply chain management. Methods include optimization, heuristics, metaheuristics and matheuristics, simulation, agent technologies, and descriptive methods. In a sense, we were and are representing the future of logistics over the years.

Originalsprog	Engelsk
Titel	Proceedings of the 50th Hawaii International Conference on System Sciences
Publikationsdato	2017
Sider	1338-1340
ISBN (Elektronisk)	978-0-9981331-0-2
DOI	https://doi.org/10.24251/HICSS.2017.159
Status	Udgivet - 2017
Begivenhed	50th Hawaii International Conference on System Sciences - Hilton Waikoloa, Kona, USA Varighed: 3. jan. 2017 → 7. jan. 2017 Konferencens nummer: 50

Konference

Konference	50th Hawaii International Conference on System Sciences
Nummer	50
Lokation	Hilton Waikoloa
Land/Område	USA
By	Kona
Periode	03/01/2017 → 07/01/2017

Dokumenter og links

10.24251/HICSS.2017.159Licens: CC BY-NC-ND

Citationsformater

@inproceedings{efb25ded5f9b41e8b0c748fda5566f66,

title = "Intelligent Decision Support and Big Data for Logistics and Supply Chain Management: A Biased View",

abstract = "Intelligent Decision Support and Big Data for Logistics and Supply Chain Management” features theoretical developments, real-world applications and information systems related to solving decision problems in logistics and supply chain management. Methods include optimization, heuristics, metaheuristics and matheuristics, simulation, agent technologies, and descriptive methods. In a sense, we were and are representing the future of logistics over the years. ",

author = "Stefan Voss and Hans-J{\"u}rgen Sebastian and Julia Pahl",

year = "2017",

doi = "10.24251/HICSS.2017.159",

language = "English",

pages = "1338--1340",

booktitle = "Proceedings of the 50th Hawaii International Conference on System Sciences",

note = "null ; Conference date: 03-01-2017 Through 07-01-2017",

}

TY - GEN

T1 - Intelligent Decision Support and Big Data for Logistics and Supply Chain Management

AU - Voss, Stefan

AU - Sebastian, Hans-Jürgen

AU - Pahl, Julia

N1 - Conference code: 50

PY - 2017

Y1 - 2017

N2 - Intelligent Decision Support and Big Data for Logistics and Supply Chain Management” features theoretical developments, real-world applications and information systems related to solving decision problems in logistics and supply chain management. Methods include optimization, heuristics, metaheuristics and matheuristics, simulation, agent technologies, and descriptive methods. In a sense, we were and are representing the future of logistics over the years.

AB - Intelligent Decision Support and Big Data for Logistics and Supply Chain Management” features theoretical developments, real-world applications and information systems related to solving decision problems in logistics and supply chain management. Methods include optimization, heuristics, metaheuristics and matheuristics, simulation, agent technologies, and descriptive methods. In a sense, we were and are representing the future of logistics over the years.

U2 - 10.24251/HICSS.2017.159

DO - 10.24251/HICSS.2017.159

M3 - Article in proceedings

SP - 1338

EP - 1340

BT - Proceedings of the 50th Hawaii International Conference on System Sciences

Y2 - 3 January 2017 through 7 January 2017

ER -

Intelligent Decision Support and Big Data for Logistics and Supply Chain Management: A Biased View

Abstrakt

Konference

Dokumenter og links

Fingeraftryk

Citationsformater