Please consider submitting to the ISM 2020 http://www.msc-les.org/ism2020/
International Conference on Industry 4.0 and Smart Manufacturing
Deadline June, 30th 2020.
My colleague Viktoria Hauder and me organize two tracks which might be of interest to you. All contributions (minimum 3 pages) will be peer-reviewed. All accepted publications will be indexed by SCOPUS and published in Open Access form:
== Dynamic logistics optimization in the context of prescriptive analytics ==
Dynamic optimization problems in the field of logistics arise from different industry-relevant areas, as for example in the control of portal cranes, transport vehicles, or production lines. When optimizing such logistics processes in real time, a reaction to dynamic events becomes necessary. In order to offer a real-world suitable planning result, new solution approaches have to be developed, which proactively and reactively handle such events. Observing and reacting to changes, continuously learning the prediction of upcoming events and adapting the search strategies for new solutions by analyzing and evaluating its performance over time are only three examples for developing a holistic, real time optimization approach. Integrating such methods enables decision support in real time, i.e. recommendations for operational planning decisions are suggested (prescribed) by continuously optimizing and analyzing the affected logistics planning problems. Such a holistic view on dyn!
amic optimization, considering a prescriptive analytics approach, has not been extensively researched so far. As a result, we cordially invite researchers and practitioners to propose new approaches and/or their experiences made so far in the context of dynamic optimization and prescriptive analytics. With a special focus on industrial practicability, first proposals for new frameworks considering dynamic optimization and prescriptive analytics, project presentations and talks out of a practitioner's point of view are also aimed at in particular.
== Integrated logistics planning for efficient smart manufacturing ==
>From a logistics management perspective, integrated planning is one of the key factors for success. Especially in the current era of smart manufacturing, an increasing digitalization and therefore integration of different sub areas is indispensable to be able to utilize synergy effects. Exchanging information and decisions, i.e. coordinating, integrating, and analyzing different systems and stakeholders within an organization and along the whole supply chain is necessary to manage all logistics processes in a smart and efficient way. Nevertheless, the topic of integrated planning and analytics, especially in the research field of operations research but also in the broader sense of research on logistics management, has not been investigated as extensively as single logistics planning problems, although offering a numerous amount of advantages in contrary to its isolated and sequential counterpart. Therefore, we cordially invite researchers and logistics managers to propose !
their ideas, solution approaches, and/or managerial experiences concerning integrated logistics planning along the supply chain and thus, supporting efficient smart manufacturing in the widest sense. This session aims at bringing together researchers and practitioners both from a quantitative and qualitative point of view. By mutually giving insights into their innovative work and their perspective on integrated planning and smart manufacturing, lively and prosperous discussions on the current state of the art and a possible future integration of different logistics planning approaches in the context of smart manufacturing should be encouraged. Especially focusing on industrial implementability, proposals for new frameworks or concepts considering integrated planning, research project presentations and talks out of a practitioner's point of view are also aimed at in particular.
The conference is scheduled for November 23-25. At present we expect to host the conference in Hagenberg, Austria and have physical presence, but depending on the dynamics of the COVID-19 pandemic this could change to a virtual conference and/or a later date.
Sincerely,
Andreas Beham
Senior Researcher
University of Applied Sciences Upper Austria
Franz-Fritsch-Strasse 11/3 | 4600 Wels/Austria
Phone: +43 5 0804 27133
E-Mail: andreas.beham@fh-ooe.at
Web: www.fh-ooe.at<http://www.fh-ooe.at/>
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