1. VirMan: Virtual Manufacturing Plant

2. ORGANISATION PROFILE
ForteArGe Informatics, Engineering, Consultancy Ltd.Co. Ankara/Turkey (Privately Held-SME 50+ Engineers)
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)

3. 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

4. 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

5. 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)

6. CONTACT INFO
Contact info:
Mustafa Kemal Özel
Dr. Emrah Tomur
Dr. Erhan Mengusoglu