International Academy for Production Engineering 7t th Conference on Learning Factories, Darmstadt, Germany, April 4 th to 5 th 2017 ESB LOGISTICS LEARNING FACTORY Digital twin as enabler for a SMART FACTORY MANAGEMENT (digital shopfloor management system) in the ESB Logistics Learning Factory at Reutlingen - University Prof. Dr. Ing. Dipl.-Ing. (FH) Vera Hummel, Dipl.-Ing (FH) Beate Brenner ESB Business School Logistics Learning Factory Reutlingen University, Germany 1
Outline of the presentation ESB Logistics Learning factory, Reutlingen University 1. Digital Twin as enabler for a SMART FACTORY MANAGEMT 2. Combination of several methods for imaging the Digital Twin 3. Software Systems and Indoor Localization System 4. Mobile SMART FACTORY MANAGEMENT meetings 5. Research Questions 6. Summary 2
Digital Twin as enabler for a SMART FACTORY MANAGEMENT Precondition and steps Precondition for a SMART FACTORY MANAGEMENT is the seamless real and digital factory. Development steps to be taken are selection of fundamental technologies for digitalization regarding cloud- and App-based end to end software systems, sensors, camera systems, mobile devices for visualization, make real objects communicable (IP-address) and the definition of an adaptive new work system in the factory. 3
Digital Twin as enabler for a SMART FACTORY MANAGEMENT Cloud software live SMART FACTORY MANAGEMENT Possibility of localized and decentralized visualization, planning, control, prognosis and simulation of past, present and future events and processes for short and medium term problem solvings by means of innovative information technology methods and technologies. 4
Combination of several methods for imaging the Digital Twin Telocate sensor for indoor localization RFID - Reader Ricoh-theta-s-360-0-fullspherical camera -wlan Microsoft HoloLens data glasses Methods for imaging the Digital Twin An integrated engineering network, spanning across the entire value chain, is operated to intelligently connect various company divisions, and to generate a business ecosystem for products, services and communities imaging essential elements. 5
Software Systems and Indoor Localization System Telocate wave system Becos Apps and DS software Software systems and indoor localization Essential to the Digital Twin, is the ability to consistently provide all subsystems with the latest state of all required information, methods and algorithms by a standardized informatics language which has to be defined. The 3D Experience platform (SWYM) by Dassault Systèmes (DS), the self-execution system SES enlarged with a couple of Apps by Becos and the Indoor Localization System with a new sensor generation by Telocate are a selection of the technology elements to realize and visualize the Digital Twin. 6
Mobile SMART FACTORY MANAGEMNT meetings Mobile SMART FACTORY MANAGEMENT meetings. Workers Community and Management Community. Mobile SMART FACTORY MANAGEMENT meetings.. around the world Within different meetings and structures, certain topics have to be dealt with such as provision of the data obtained for the simulation of production scenarios and integration into the knowledge database. Creation and situation-dependent variable visualization of key figures are principal constituents. (Office 365 / Skype for business) 7
Research Question Question: What additionally chaining techniques and programming language or file formats are necessary to link the Digital Twin with the real factory in real time visualized e.g. with the mobile interactive board Microsoft Surface Hub? Are we able to define one standardized informatics language for the communication between any real or digital object? Can we continue with the Digital Twin without artificial intelligence involved in the study of mechanisms of intelligent human behavior and running through simulation using artefacts, usually with programs on computing machines? Approach: The approach is to list every object and check if it already has its own IP-address and by which informatics languages or protocols it can be activated. From this list a standard will be defined for all objects and the respective interfaces to the software tools. Also a decision is made which objects are not suitable. Further we have to gain knowledge in which way we can apply artificial intelligence e.g. regarding machine learning. The validation scenario for the Digital Twin provides a change in the real world and this change is in the digital world also pursued in real time and a change in the digital world causes an immediately modification. 8
Summary, results lessons learned, next steps Digital Twin as enabler for a SMART FACTORY MANAGEMENT - System has turned out to be a suitable subject. Extensive software systems like 3D Experience platform and programming new Apps means a lot of knowledge, a correct specification for programming and the same speech between LLF guys, students and the employees of the software companies. The additional systems required e.g. for Indoor Localization are complex for themselves and the practice use has to be implemented in stages. As well sensors and cameras fulfill their purpose with regard to data processing currently only conditionally. The Smart Factory Management - System with the components Digital Twin, Cobots" (collaborative robots), Artificial Intelligence and the definition of Future Work Content requires the following next steps: 1. The identification of technologies for a comprehensive Digital Twin. 2. Programming interfaces for data exchange to 3D Experience platform of all real and digital objects. 3. Definition of the process and procedure for automated updating of the digital and real model of the factory. 9
Questions, contact So we are on the way to the Factory-System.. Thank you for your attention Questions? Beate Brenner, Dipl.-Ing (FH) Research Associate Digital Engineering ESB Business School Reutlingen University Prof. Dr.-Ing. Dipl.-Ing. Vera Hummel Production and Transportation Logistics, Industrial Engineering ESB Business School Reutlingen University Alteburgstraße 150 72762 Reutlingen Germany Phone: +49(0)7121 271 3116 Beate.brenner@reutlingen-university.de Alteburgstraße 150 72762 Reutlingen Germany Phone: +49(0)7121 271 3031 vera.hummel@reutlingen-university.de 10
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