[Opt-Net] HICSS-50: Minitrack Proposal “Intelligent Decision Support and Big Data for Logistics and Supply Chain Management”

Mon Jun 13 15:27:48 CEST 2016

(Apologies for cross-postings of this announcement.)

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CALL FOR PAPERS

Fiftieth Annual Hawai'i International Conference on System Sciences 
(HICSS-50)
January 4-7, 2017 (Wednesday-Saturday)
Hilton Waikoloa Village (http://www.hiltonwaikoloavillage.com)

Submission deadline: June 15, 2016, 11:59 PM Hawaii Time

HICSS-50: Minitrack Proposal (within the Decision Analytics, Mobile and 
Service Science Track):
“Intelligent Decision Support and Big Data for Logistics and Supply 
Chain Management”

The minitrack features theoretical developments, real-world applications 
and information systems related to solving decision problems in 
logistics and supply chain management. Methods include optimization, 
heuristics, meta-heuristics and matheuristics, simulation, agent 
technologies, and descriptive methods. Recent advances incorporating big 
data and cloud computing are especially welcome.

Minitrack description:

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 is 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. Sensor networks, social network 
activities, RFID deployment, internet search histories and retail 
transactions are just a few examples of sources to provide data to 
support efficient decision analytics. Big data issues are well 
recognized and offer opportunities long waited for but also provide 
challenges in handling and decision analytics. Cloud computing allows 
also small and medium sized enterprises to access resources to support 
analytics functions. Business intelligence and data mining can be used 
to store and analyze logistics, product, inventory, and sales 
information. Simulation and optimization, which can be found in advanced 
planning and scheduling systems, can be employed for, e.g., inventory, 
production, procurement, and distribution planning. Intelligent agents 
can, e.g., communicate with different partners in the supply chain, 
assist in collecting information, share product information, negotiate 
prices, and distribute alerts throughout the logistics networks. The 
design and implementation of intelligent decision analytics tools to 
support human agents in computational logistics and SCM is a very active 
field in research, consulting and software development. Many such 
technologies or systems are continuously being developed, implemented 
and used in real-world scenarios. We do, therefore, believe that this 
minitrack will be recognized by both the scientific community and 
practitioners developing or using logistics and SCM solutions.
We aim at organizing a minitrack consisting of two sessions depending on 
the number of high quality submissions. 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 particular 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. 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.

For additional information or to submit abstracts, please contact the 
minitrack co-chairs:

Prof. Dr. Stefan Voß
University of Hamburg
stefan.voss at uni-hamburg.de

Prof. Dr. Hans-Jürgen Sebastian
RWTH Aachen University
sebastian at or.rwth-aachen.de

Prof. Dr. Julia Pahl
University of Southern Denmark
julp at iti.sdu.dk

Full papers will be included in the Conference Proceedings published by 
the IEEE Computer Society and maintained in the IEEE Digital Library. 
HICSS publications account for the top 2% downloads of all IEEE 
conferences, and have been consistently ranked as the most cited papers 
in top journal publications.

Dates for submission to HICSS-50:
April 1: Paper Submission and Review System for HICSS-50 goes live.
June 15 (11:59 PM, Hawaii Time): Deadline to submit full manuscripts for 
review.
August 16: Acceptance/Rejection notification will be sent to authors.
September 4: Submission deadline for AM papers.
September 15: Deadline for submitting final manuscript for publication 
to the Publication System.
October 1: At least one author of each paper should register by October 
1 in order secure publication in the Conference Proceedings.

For further submission information, please see the general HICSS-50 Call 
for Papers (http://www.hicss.org/#!authors/ccjp).

-- 
Julia Bachale

Institut für Wirtschaftsinformatik/ Institute of Information Systems
Secretary
room no. 3065
Von-Melle-Park 5
D-20146 Hamburg

phone:+4940 42838 3064
fax:  +4940 428385535
mail: iwi at uni-hamburg.de
       julia.bachale at uni-hamburg.de

opening hours: mo-fr 09:00-12:00 h, 14:00-15:00 h