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

Stefan Voss, Hans-Jürgen Sebastian, Julia Pahl

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearch

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.
Original languageEnglish
Title of host publicationProceedings of the 50th Hawaii International Conference on System Sciences
Publication date2017
Pages1338-1340
ISBN (Electronic)978-0-9981331-0-2
DOIs
Publication statusPublished - 2017
Event50th Hawaii International Conference on System Sciences - Hilton Waikoloa, Kona, United States
Duration: 3. Jan 20177. Jan 2017
Conference number: 50

Conference

Conference50th Hawaii International Conference on System Sciences
Number50
LocationHilton Waikoloa
Country/TerritoryUnited States
CityKona
Period03/01/201707/01/2017

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