VirMan: Virtual Manufacturing Plant

ORGANISATION PROFILE ForteArGe Informatics, Engineering, Consultancy Ltd.Co. Ankara/Turkey (Privately Held-SME 50+ Engineers) www.fortearge.com Products: Smart building monitoring and control system, Fleet management System, Project and business management system, Logistics Support Analysis, Services: Software contracting especially in defense sector, consultancy Technical Expertise: Software development, IoT, BIM (Building Information Modelling), Smart Building Management, Optimization, Data Analytics, Computer Vision Domain Expertise: Smart Building Management, Energy Efficiency, Energy Management, Environmental Management and sustainability, Integrated Logistics Support, Asset management, Smart Cities R&D Projects: POLDER: Smart City (ITEA3 4th Call) Fuse-IT: Smart Building management System (ITEA2 8th Call) Waste Management (Local Budget R&D) EnKi: Model Driven Software Engineering (Local Budget R&D) MineWorker: Data Mining (Local Budget R&D)

PROPOSAL INTRODUCTION (I) Vision: Develop a 3D virtual model of an industrial manufacturing plant that can be used for; Planning and optimization of the plant Monitoring production, maintenance and performance Data collection for analytical decision making Simulation for different production levels Gradually create more advanced models of the plant to prepare the factory for digital twin technology. Motivation: Modeling the physical object and monitoring in real time (data from and about the thing) are two of the four core components of digital twins. Gartner predicts that by 2021, half of large industrial companies will use digital twins, resulting in those organizations gaining a 10% improvement in effectiveness. Sensor (IoT) placement optimization will become more and more critical problem with a direct economical consequence for both investment and maintenance perspective. Data analysis gathered from sensor controlled area will be used to dynamically update production planning datbase and this will result in efficiency increase in production line. Content: • Model of the factory • BIM based indoor positioning system • Sensor placement optimization • Real time plant monitoring • Plant management

PROPOSAL INTRODUCTION (II) Expected outcome: A real time monitoring interface for the industrial plant Indoor positioning of the critical assets Data analysis of collected data Increased production thanks to identifying bottlenecks in production chain Increased availability of machinery thanks to automated maintenance tracking Impacts: Increased productivity Market resilience thanks to ability to predict demand and re-arrange production level High adoption rate thanks to simplicity and incrementally of deployment/usage Adaptability thanks to easier change management Easier supply chain management thanks to actively monitoring production level Schedule: Expected start – end date: October,2019- September-2022

PARTNERS Current Consortium: list of partners already involved in the project ForteArGe (Turkey): BIM, Visualization, Sensor placement optimization, real time monitoring, data analytics Karel (Turkey): Indoor positioning, use case owner Partner search: Domain expertise and use-case owners (any country) Computer vision, optimisation, data analytics (any country)

CONTACT INFO Contact info: Mustafa Kemal Özel mustafakemal@fortearge.com Dr. Emrah Tomur emrah.tomur@fortearge.com Dr. Erhan Mengusoglu erhan.mengusoglu@fortearge.com +90 312 485 42 90

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