[Opt-Net] CfP for the HICSS58: Decision Analytics and Service Science Track, Intelligent Decision Support for Logistics and Supply Chain Management

[Julia Bachale]

***apologies for cross-postings***


  CALLFORPAPERS

*Hawaii International Conference on System Sciences (HICSS-58), Hilton 
Waikoloa Village, Big Island, Hawaii, January 7-10, 2025, 
**http://www.hicss.org/* <http://www.hicss.org/>**

*Decision Analytics and Service Science Track*

**

Intelligent Decision Support for Logistics and Supply Chain Management

**

**

*Mini-trackco-chairs:Julia Pahl and Stefan Voß*

**

Information technology (IT) and information systems (IS) are 
prerequisites and enablers for successful supply chain management (SCM). 
With related advances, the logistics and SCM field is developing very 
dynamically. Business-to-business transactions are made via the Internet 
and enterprise resource planning (ERP) systems support managing the 
transactional information within the enterprise. Cooperation and 
coordination are only possible based on IT and IS. While IT and IS are 
vital components in supply chains, their successful management rests on 
intelligent and coordinated decision making throughout the logistics 
network. Intelligent decision support and decision analytics using 
advanced decision technologies and analytics methodology are of utmost 
importance in logistics and SCM.

The minitrack features information systems, theoretical developments and 
real-world applications related to intelligent problem solving in 
logistics and supply chain management. This also incorporates issues 
related to digital transformation in this area. Methods include 
optimization, heuristics, metaheuristics, and matheuristics, simulation, 
agent technologies, and descriptive as well as predictive methods. 
Recent advances incorporating big data, cloud computing, artificial 
intelligence, and in general machine learning are especially welcome.

The main objective of this mini-track is to provide, discuss, and 
highlight recent trends and developments in the area of logistics and 
SCM solutions both for the scientific community as well as practitioners.

We seek papers dealing with decision analytics, business intelligence, 
big data, cloud computing, and decision technologies which contribute to 
intelligent decision support in the whole field of logistics and in all 
categories of SCM. This includes but is not restricted to simulation, 
optimization, heuristics, metaheuristics, agent technologies, decision 
analytics, descriptive models, and data mining. Recent advances in data 
science, machine learning and artificial intelligence successfully 
complement these methods. We are especially interested in real-world 
applications and in information systems and software solutions which 
assist in solving decision problems. This is extended towards, e.g., 
computational logistics, advanced planning systems, and the intelligent 
use of ERP systems. Also, conceptual ideas, reports on projects in 
progress, and case studies are welcome. Moreover, teaching cases both at 
the university as well as the executive level may be of interest.

Importantdates(https://hicss.hawaii.edu/) <https://hicss.hawaii.edu/>:

·June 15, 2024 | 11:59 pm HST:                  Paper submission deadline

·August 17, 2024 | 11:59 pm HST: Notification of acceptance/rejection

·September 22, 2024|11:59 pm HST:                 Deadline for authors 
to submit final manuscript for publication

·October 1, 2024 | 11:59 pm HST:                Deadline for at least 
one author of each paper to register

·January 7-10, 2025     HICSS Conference

*Mini-trackCo-Chairs:***

*Julia Pahl *(Primary Contact)

UniversityofUniversity of Southern Denmark

julp at iti.sdu.dk <mailto:celina.olszak at ue.katowice.pl>

*Stefan **Voß, *

UniversityofHamburg,Germany,

_stefan.voss at uni-hamburg.de_
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