Dear EWGLA Members,
as announced during the last EWGLA Meeting, we are pleased to inform you
about the first official release of our software library
“*LoLoLA*” – *L*ibrary *o*f *Lo*cation and *L*ayout *A*lgorithms.
The library and all related information can be downloaded from
www.mathematik.uni-kl.de/~lolola.
The software is released under the /GNU General Public License /and,
therefore, the source code is available for downloading and modifying.
Instructions on how to install the library and which algorithms are
available can be found in the documentation. Moreover, an executable for
the Graphical User Interface (GUI) for Windows is provided.
If you have any questions or have a feedback/bug report, feel free to
write an email to
lolola(a)mathematik.uni-kl.de.
Note, that this is a Beta-release. We are thankful for every comment and
suggestion for improvement. If you want to be informed about updates of
LoLoLA do not forget to check
"Receive notifications for new releases" on the download page.
Best regards,
Horst W. Hamacher, Philipp Heßler, Andrea Maier
University of Kaiserslautern, Germany
and
Aleksandra Gross (now Cambridge, Great-Britain)
--
******************************************************
Prof. Dr. Horst W. Hamacher
Chair of Management and Educational Mathematics
Department of Mathematics
University of Kaiserslautern
67653 Kaiserslautern
GERMANY
Tel: (Germany) (0)631 205 2267
homepage:
http://optimierung.mathematik.uni-kl.de/~hamacher
Dear locators,
At the end of this week, the registration is planned being opened.
Consequently, the early registration will be extended in order to be
available for everyone
See you soon in Malaga,
Enrique
(Apologies for cross-postings of this announcement.)
*************************************************
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(a)uni-hamburg.de
Prof. Dr. Hans-Jürgen Sebastian
RWTH Aachen University
sebastian(a)or.rwth-aachen.de
Prof. Dr. Julia Pahl
University of Southern Denmark
julp(a)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).