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June 2016

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PostDoc position in Node Routing Models - University of Lisbon
by Luis Eduardo Neves Gouveia 27 Jan '17

27 Jan '17

PostDoc position in Node Routing Models Closing date: June 15, 2016 Place: University of Lisbon, Department of Statistics and Operations Research, CMAFCIO Salary: EUR 1450 per month (as a reference, minimum wage in the country is EUR 530 per month) Position from September 15th with the duration of 12 months. Topic of research is: Study and development of ILP models for node routing problems, such as the traveling salesman problem, variants with additional constraints (capacity, time windows, maximum distance), several vehicles. several depots. Also, areas involving routing with electric vehicles or in fishery research are topical as well. Candidates must have a CV showing capability to study some of the topics mentioned before, including a reasonable knowledge of ILP solution methods (PhD topic and/or relevant scientific publications). An interview may be requested. Candidates must be fluent in English both in speaking and writing. Applications in electronic form with the usual documents (certificates, CV, publication list, etc.) are to be submitted at http://www.eracareers.pt/opportunities/index.aspx?task=global&jobId=75478 Informal enquiries regarding these vacancies may be addressed to: Professor Luis Gouveia, Head of the Department of Statistics and Operations Research, Faculty of Sciences, University of Lisbon, Portugal. E-mail: legouveia(a)fc.ul.pt ?

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HICSS-50: Minitrack Proposal “Intelligent Decision Support and Big Data for Logistics and Supply Chain Management”
by Institut für Wirtschaftsinformatik 13 Jun '16

13 Jun '16

(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)

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