Tutorials (Wednesday, 20.09.2017)

Wednesday
20.09.2017
14:00 – 15:30
German

Data Farming for Production and Logistics

Dr. Sören Bergmann, TU Ilmenau
Niclas Feldkamp, M.Sc., TU Ilmenau

Simulation is a broadly accepted methodology for planning new production and logistic systems, or for evaluating and improving existing ones. Traditionally, simulation studies focus on a specifically outlined project scope and single model aspects. Apart from conventional simulation studies, new forms and methods of simulation based applications have recently been developed. These leverage new possibilities through recent advancements in computing power and database technology. Data farming describes an approach for conducting a large and broad scale simulation ensemble in order to efficiently generate large quantities of simulation output data. Combined with methods from data mining and visual analytics, this approach yields new possibilities for simulation data analysis and decision support for planning and evaluating production and logistic systems. This tutorial gives an introduction into this methodology.

Dr. Sören Bergmann holds a Doctoral and Diploma degree in business information systems from the Ilmenau University of Technology. He is a member of the scientific staff at the Department for Industrial Information Systems. Previously he worked as corporate consultant in various projects. His research interests include generation of simulation models and automated validation of simulation models within the digital factory context.

Niclas Feldkamp, M.Sc. holds bachelor and master degrees in business information systems from the University of Cologne and the Ilmenau University of Technology, respectively. He is currently working as a doctoral student at the Department of Industrial Information Systems of the Ilmenau University of Technology. His research interests include data science, business analytics, and industrial simulations.

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Source: © Dr. Sören Bergmann

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Source: © Niclas Feldkamp

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Vendor Tutorials (Wednesday, 20.09.2017)

Wednesday
20.09.2017
14:00 – 15:00
English

AnyLogic 8. Industry-specific libraries and Cloud version capabilities

Pavel Lebedev, Head of Customer Support Department, The AnyLogic Company

Take a journey through the newest version of AnyLogic with Head of AnyLogic Customer Tech. Support as your guide. The tutorial includes comprehensive how-tos for features of the newest version. We will build a simulation model using a set of industry-specific libraries and modeling approaches to capture all aspects of the problem. The presenter will show how to export model to AnyLogic secure cloud storage and manage simulations via web browser. Attendees will be showcased how to leverage high performance cloud computing: perform multiple simulation runs in parallel and immediately retrieve and reuse simulation results of all performed experiments.

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Source: © Pavel Lebedev

Wednesday
20.09.2017
15:15 – 15:45
English

anyLogistix™ Supply Chain Design and Optimization Software

Pavel Lebedev, Head of Customer Support Department, The AnyLogic Company

anyLogistix™ (ALX™), by AnyLogic Company is the supply chain analytics software to design, optimize and analyze company’s supply chain. The speaker will showcase how to combine analytical optimization approaches together with simulation technologies and benefit from their integration. Attendees will see different usage scenarios:

  • Perform a “Greenfield analysis” (GFA) on a single or multi-echelon supply chain to determine the number and locations for network facilities with minimum input data. Carry out precise analysis of supply chain by converting GFA results into a network optimization or dynamic simulation model.
  • Discover the most profitable supply chain network configuration using the leading analytical solver, IBM ILOG CPLEX®. Conduct supply chain master planning by periods to optimize where and how much you need to produce, store, and ship.
  • Convert results of analytical optimization into a dynamic simulation model for deeper analysis and gain an understanding of the internal supply chain dynamics. See how business metrics change over time e.g. inventory/service levels, orders in progress, used capacities, utilization rates, lead times, costs/revenue, bullwhip effect, and more.
  • Consider complex logic with network level policies: replenishment, sourcing, manufacturing, and transportation.
  • Go beyond network level analysis – model and simulate processes inside the four walls and observe how they impact the overall network design and KPI’s (i.e. manufacturing processes, resources, scheduling, DC processes, layouts, and costs).

The tutorial will be delivered by Pavel Lebedev, Head of AnyLogic Technical support. Pavel has been assisting and consulting AnyLogic users for 9 years. Since 2014 he is leading the technical support team. As an experienced user Pavel is participating in many AnyLogic / anyLogistix software trainings worldwide.

Wednesday
20.09.2017
16:00 – 17:00
English

Simulation of Production GD.findi of LEXER RESEARCH Inc.

Dr. Masahiro Nakamura, LEXER RESEARCH Inc.
Prof. Dr. Chawalit Jeenanunta, Thammasat University, Thailand

This tutorial is intended to show the functionality of the GD.findi simulations software, developed by LEXER RESEARCH Inc. During the tutorial Dr. Masahiro Nakamura will discuss the innovative data model and you will learn how to create simulation models without the need to code. Furthermore he will demonstrate how to create models with different grain sizes to yield sufficient results depending on the requirements. The audience will also learn about the possibilities to stop and modify the simulation model at any point during the simulation run and resume it afterwards. An optional application called massively parallel simulation leveraging the computing resources of the cloud will also be demonstrated which allows a parallel execution of simulation with up to 300 CPUs and enables to identify the very best scenario. A typical application is finding the best strategy to recover from the unscheduled down time. Prof. Chawalit Jeenanunta will report about his experience of teaching GD.findi in his course in Thailand and give some examples of consulting projects for SMEs.

Dr. Masahiro Nakamura, the CEO of LEXER RESEARCH Inc. Tokyo, has prior to the foundation of LEXER RESEARCH Inc. in 1993 a background of AI-research in the industry. LEXER RESEARCH Inc. is dedicated to the R&D of the virtual engineering and follows the philosophy that the technology serves the human. Thus the goal of LEXER RESEARCH Inc. is the development of an affordable and easy to use tool for everybody which allows the production professionals without coding skill to manage the ever increasing complexity of the production as well as share the knowledge won with other professionals of the organization. LEXER RESEARCH Inc. has been decorated with the highest manufacturing award in Japan 2013. LEXER RESEARCH Inc. is the developer of GP4, a popular VE-software now marketed by Fujitsu.

Prof. Dr. Chawalit Jeenanunta, is an associate professor of School of Management Technology (MT), Sirindhorn International Institute of Technology, Thammasat University, Thailand. He is holding the position of Assistant Director, Building, Ground, and Properties. He is also the head of Logistics and Supply Chain Systems Engineering (LogEn) Research Unit and the head of Center for Demonstration and Technology Transfer of Industry 4.0. He received a B.S. degree in Mathematics and Computer Science, and M.Sc. in Management Science from University of Maryland, USA and he received his Ph.D. in Industrial and Systems Engineering from Virginia Polytechnic Institute and State University, USA. His Research interests are in area of applications of operations research, simulation, large-scaled optimization and supply chain management. He has conducted a simulation course for 12 years and recently introduced GD.findi into the curriculum. Dr. Jeenannunta has also given a successful simulation course using GD.findi at Institute of Technology of Cambodia, Phnom Penh, Cambodia.

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Quelle: © Dr. Masahiro Nakamura

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Source: © Prof. Dr. Chawalit Jeenanunta

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