Junior Professorship for

"Artificial Intelligence (AI) -

Application in Production and Logistics"

AI Engineering (AiEng) encompasses the systematic design, development, integration and operation of solutions based on artificial intelligence (AI) using engineering methods as a model. At the same time, AiEng builds a bridge between basic research on AI methods and the engineering sciences and makes the use of AI systematically accessible and available there. The project focuses on the nationwide development of a Bachelor's degree program in AI Engineering, which combines the training of AI methods, models and technologies with those of engineering sciences. AiEng is to be designed as a cooperative study program between Otto von Guericke University (OVGU) Magdeburg and the four universities in Saxony-Anhalt: Anhalt University of Applied Sciences, Harz University of Applied Sciences, Magdeburg-Stendal University of Applied Sciences and Merseburg University of Applied Sciences. The interdisciplinary degree program will enable students to develop AI systems and services in the industrial environment and beyond and to provide holistic support for the associated engineering process - from problem analysis to commissioning and maintenance / servicing. The AiEng curriculum provides comprehensive AI training, supplemented by basic engineering training and in-depth training in a selected application domain. In order to achieve a symbiosis of AI and engineering education, a new action-oriented framework is developed and taught, which describes the complete engineering process of AI solutions and methodically supports all phases. AIEng is characterized by a cross-module interlocking of teaching and learning content within a semester as well as by a cross-faculty and cross-university tandem teaching concept and pursues a student-centered didactic concept, which is supported by many practice-oriented (team) projects and a wide range of Open Educational Resources (OERs) with an (e)-tutor program.
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AI Engineering (AiEng) encompasses the systematic design, development, integration and operation of solutions based on artificial intelligence (AI) using engineering methods as a model. At the same time, AiEng builds a bridge between basic research on AI methods and the engineering sciences and makes the use of AI systematically accessible and available there. The project focuses on the nationwide development of an "AI Engineering" Bachelor's degree program, which combines the training of AI methods, models and technologies with those of engineering sciences. AiEng is to be designed as a cooperative study program between Otto von Guericke University (OVGU) Magdeburg and the four universities in Saxony-Anhalt: Anhalt University of Applied Sciences, Harz University of Applied Sciences, Magdeburg-Stendal University of Applied Sciences and Merseburg University of Applied Sciences. The interdisciplinary degree program will enable students to develop AI systems and services in the industrial environment and beyond and to provide holistic support for the associated engineering process - from problem analysis to commissioning and maintenance / servicing. The AiEng curriculum provides comprehensive AI training, supplemented by basic engineering training and in-depth training in a selected application domain. In order to achieve a symbiosis of AI and engineering education, a new action-oriented framework is developed and taught, which describes the complete engineering process of AI solutions and methodically supports all phases. AIEng is characterized by a cross-module interlocking of teaching and learning content within a semester as well as by a cross-faculty and cross-university tandem teaching concept and pursues a student-centered didactic concept, which is supported by many practice-oriented (team) projects and a wide range of Open Educational Resources (OERs) with an (e)-tutor program.

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The KISync research project aims to investigate how artificial intelligence (AI) methods can be used to synchronize the decision-making problems of various processes in operational supply chain planning under the influence of uncertainties. In particular, internal company planning in competitive supply chains with little information exchange will be examined. Another focus is the question of how AI can form synergies with humans in order to improve decisions in complex situations in supply chain management and also sustainably increase the cross-process data competence of humans. Due to the dynamics of global supply chains with increasing uncertainties, the development of such a system is expected to improve the planning quality and robustness of operational supply chain planning. The system is to be implemented as a prototype in order to evaluate its functionality using existing supply chain data from two medium-sized companies.
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The aim of the Logistics Challenge is to introduce the diverse world of logistics to pupils who will potentially be studying or training in the near future and to present logistics as a varied and rewarding field of study and career with many opportunities to influence the future development of society in the form of a competition.
The content of the project is the implementation of the Logistics Challenge for school teams from Saxony-Anhalt. The logistics challenge is carried out in two stages with a qualification round (preliminary round) and a final round.
The following prize money will be awarded: 1st place: 1,500 euros, 2nd place: 1,200 euros, 3rd place: 1,000 euros, 4th place: 800 euros, 5th place: 500 euros. 50% of the prize money will go to the participating pupils and 50% to the schools.
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Within the R&D project "GEOSTALOVR", the development of a simulation-based geodesign platform for planning logistics and tourism in European cities is planned. By means of VR visualization and interaction possibilities, the planning process is to be digitalized throughout, democratized and made more human-centered. The development is being realized in an international cooperation project with Turkey in collaboration with three SME partners (LS Software & Engineering GmbH, Globetech Cografi Bilgi Teknolojileri Yazilim Planlama Harita Enerji Egitim Mühendislik Danismanlik Limited and Elf Sehir Planlama) and two research partners (Otto von Guericke University Magdeburg and Harran University). The project is designed to run for two years. A prototypical setup and testing of the system is planned based on the city of Sanliurfa in Turkey. The project emerged from the network "NekoS" and is accompanied by the network management (ZPVP GmbH) during the implementation.

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Simulation study for factory planning. Simulation of various production and scale-up scenarios. Layout and material flow planning including material flow simulations of these scenarios. The models enable detailed production process planning of these scenarios. Evaluation options for these scenarios with regard to utilization of workstations including bottleneck analysis, manufacturing costs, throughput times and critical paths, space utilization and material flows. 3D visualization of the simulation models. Expandability of the simulation models.
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Development, implementation and evaluation of a simulation and test platform for the development and evaluation of algorithms and strategies for innovative warehouse concepts in manufacturing companies.

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The research project SENECA pursues the development of a self-learning decision support system for real-time order sequencing and machine scheduling. The research question is how machine learning (ML) methods must be applied in order to calculate admissible solutions with sufficient quality for order sequencing and machine allocation problems in real time. Various ML methods are to be investigated with regard to their applicability for order sequencing and machine allocation planning. Due to the highly dynamic nature of modern production systems and the resulting planning uncertainty, it is expected that production sequence planning in particular will benefit from ML-based, real-time capable and adaptive decision support systems. ML algorithms are currently primarily used for regression and classification problems. Their direct use for calculating optimization problems has hardly been researched and industrial applications are not yet known. The technical objective of the project is to develop a software and hardware prototype that supports decision-makers in production planning and control. The technical challenges relate in particular to aspects of production and application-specific design. On the one hand, a high level of user-friendliness is important. This implies, among other things, that humans are always the final decision-making authority. The system should be able to continuously improve itself with human expertise. On the other hand, the assistance system must be designed in such a way that the real-time capability of the solution processes is fully utilized. Proposed order sequences and machine assignments must be able to be transferred from production planning to production control at short notice.

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The projects aims to deploy the first cargo bike pilot in the city of Almaty, Kazachstan. The objectives are:

Identification of suitable cargo bikes and design of the first cargo bike pilot in Almaty

Evaluation of cargo bike transport vs. other means of transports in Almaty in terms of economic and ecological aspects

Conduction of tests with different public and logistcs partners

Create a digital platform for manage cargo bikes

Share knowledge about urban logistics solutions and planning principles in a workshop series

Encourage stakeholders to create new urban logistics systems

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The project aims to enable the LogCentre of the German-Kazakh University (DKU) to provide trainings in the areas of

• Transport
• Business games in production and logistics
• Simulation, optimization and AI for decision support in production and logistics
• Urban and sustainable logistics

on the Kazakh market and to be able to carry them out on a self-supporting basis. The target group of the trainings are companies operating in Kazakhstan and Central Asia as well as governmental organizations such as city administrations and universities.

For this purpose, the following work packages are to be processed jointly by OVGU and DKU in the project:

• Project and risk management
• Needs analysis
• Business plan
• Selection and training of DKU LogCentre personnel
• Creation of concept and materials for the training measures
• Pilot trainings with German-Kazakh trainer tandems in the above mentioned areas
• Commercial trainings in the above mentioned areas
• Communication and marketing

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ProdLog addresses the issue of a weak industrial sector in Kazakhstan, Kyrgyzstan and Russian Federation and focuses on enabling universities to gain and provide a profound and holistic knowledge on planning and operating sustainable production processes. For that purpose a bologna-based master curriculum with 18 modules in resource efficient production logistics will be developed and implemented in six universities of the partner countries. The academic staff will be trained with innovative teaching methods in the learning factory "Technology centre for production and logistics systems PULS" and  equipped with state of the art logistics laboratories. By means of that, the understanding of logistics shall be widened - away from transport logistics to a systemic and interdisciplinary approach of applicant-oriented education, challenges with economical, political and social problems of our society.

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Development of material flow simulation models based on Plant Simulation and the development of a connection of these with a digital twin of production plants and a visualization platform with the work packages:
- Basic development of a connection of a material flow simulation with a digital twin of a production plant and basic visualization in a 360 degree visualization system
- Development of an extended material flow simulation

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The R&D project "LOCSys" (Laundry Order Consolidation System) aims to develop and test an innovative, automatic system for buffering, consolidating and picking customer-related, small-scale laundry orders in industrial laundries.
The development is being realized in a cooperative project involving three SME partners (EBF Dresden GmbH, FRAIMTEC Automation & Anlagenmontage GmbH and Ematik GmbH) and two research partners (Otto von Guericke University, Fraunhofer IFF). The planned project is designed to run for 2 years. A prototype assembly and testing of the system is planned at the Puschendorf Textilservice GmbH site in Flechtigen or Schönebeck.
The proposed project is an R&D project that emerged from the ZIM network "NekoS" and will be supported in its implementation by the network management facility, ZPVP Zentrum für Produkt-, Verfahrens- und Prozessinnovation GmbH - Experimentelle Fabrik Magdeburg.

The "LOCSys" project is funded as a joint project by the BMWi as part of the Central Innovation Program for SMEs (ZIM).
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The R&D project "LOCSys" (Laundry Order Consolidation System) aims to develop and test an innovative, automatic system for buffering, consolidating and commissioning customer-related, small-scale laundry orders in industrial laundries.
The development is being realized in a cooperative project involving three SME partners (EBF Dresden GmbH, FRAIMTEC Automation & Anlagenmontage GmbH and Ematik GmbH) and two research partners (Otto von Guericke University, Fraunhofer IFF). The planned project is designed to run for 2 years. A prototype setup and testing of the system is planned at the Puschendorf Textilservice GmbH site in Flechtigen or Schönebeck.
The proposed project is an R&D project that emerged from the ZIM network "NekoS" and will be supported in its implementation by the network management facility, ZPVP Zentrum für Produkt-, Verfahrens- und Prozessinnovation GmbH - Experimentelle Fabrik Magdeburg.

The "LOCSys" project is funded as a joint project by the BMWi as part of the Central Innovation Program for SMEs (ZIM).

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The main purpose of this project is to strengthen the cooperation between the private sector and higher education institutions in order to increase the capabilities of the regional workforce and improve the overall attractiveness of the western part of the GAP region (Southeastern Anatolia Project). This project is part of the strategic initiative of Harran University (HU) to establish a Center for Virtual Reality in cooperation with stakeholders from the university, private sector and several governmental organizations. During this project the opportunities of this technology in the different vertical sectors will be shown and the necessary training requirements elaborated in detail.

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The objective of the R&D cooperation project "ADEX" is the development of digital planning methods and planning tools for a consistent design of the product and production engineering process (PEP) of production and intralogistics systems. In the development of an automated exchange system between visualization, design and simulation tools, the advantages of existing software solutions are to be used and combined using the AutomationML software environment.
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The aim of the project is to establish a Communication and Transfer Center Logistics (LogCentre) in Kazakhstan to strategically combine research, teaching and practice.
The center is intended to serve as an interface between universities, independent research companies and companies. Through bilateral partnerships with the respective participants, the LogCentre will mediate and accompany projects and provide support in the application process and project implementation. The center will also promote professional exchange, conduct training and further education courses and transfer new research results directly into teaching. The center will be based in Almaty at the German-Kazakh University and will be staffed by young scientists.
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Logistics training for 30 logisticians from various logistics service providers and industrial companies from all over Russia with the following content:

- Simulation game on production logistics
- Supply chain management simulation game
- Logistics seminars
- Company tours
- Logistics laboratory tours
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- Introduction of an interdisciplinary Energy and Environmental Law programme for master students in UA and GE universities by September 2014,
- Introduction of an interdisciplinary Energy and Environmental Law programme for doctoral students in UA and GE universities by September 2014,
- Provision of a mechanism for intensive capacity building measures for UA and GE law tutors by September 2014,
- Establishment of two consultancy bureaus in UA and GE on Energy and Environmental Law by September 2014.

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Logistics training for 30 logisticians from various logistics service providers and industrial companies from all over Russia with the following content:
- Simulation game on production logistics
- Supply chain management simulation game
- Logistics seminars
- Company tours
- Logistics laboratory tours
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Advice on the development of a concept for the planned introduction of swap bodies at a Kazakh logistics service provider and on the implementation planning of the concept.
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Carrying out an analysis of the packaging machinery in a company in the pharmaceutical industry.
Determination of an optimal machine park for the product portfolio of the previous year.
Client: Salutas Pharma GmbH
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Einführung einer Masterspezialisierung "Logistik für die Luftfahrttechnik" für den MSc "Technologien des Flugzeugbaus" an  2 technischen Universitäten in der Ukraine in Übereinstimmung mit dem Bolognaprozess. Einrichtung von A2B (Academic-to-Business)-Trainingscentern im Bereich Logistik für die Luftfahrtindustrie am DMA und KhAI. Einrichtung einer Partnerland-EU Masterstudentenmobilität

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Erarbeitung von digitalisierten Daten in der Planung und Steuerung von Fertigungsanlagen und logistischen Prozessen.Das Vorhaben befasst sich mit der Erarbeitung von digitalisierten Daten in der Planung und Steuerung von Fertigungsanlagen und logistischen Prozessen.

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