Alexis Kydonopoulos
Managing Director @ Royal Avebe
About
- Solid experience in the Supply Chain of FMCG and Food&Beverage including but not limited to Continuous Improvement, Manufacturing Excellence, Project-Management, Engineering and R&D. - Highly experienced in change-management: led turn-arounds, closure of production lines as well as installation of a new ones (brownfield). - Hands-on and pragmatic leader with a proven track record in production management - Keen interest in Data Analytics, Artificial Intelligence and Machine Learning
Germany
Hamburg
Chemicals
Business Analytics, Production Management, Commercial Operation, Process Optimization (Manufacturing), Process Efficiency, Project Leadership, Industrial Engineering, Efficiency Optimization, Stewardship, Quality Assurance, Value Stream Mapping, Oral Communication, Cost Reduction, Cost Management, Leadership, E2E, Operational Strategy, Multi-Site Operations, Communication, ISO 14001
Experience

Site Manager
Berlin, Deutschland
Full responsibility for 2 manufacturing sites (cocoa and chocolate) in Berlin. - Environment, Health and safety - Food safety and Quality - Employee relations including negotiations with unions and personnel representatives - Indurstrial relations with authorities and business partners - Building a talent pipeline and ensuring a succession pipeline - Full ownsership of operational and capital budgets - Strategic outlook and masterplan of the 2 sites taking into consideration their role in the network - Major change management agenda around creating a healthy safety culture while increasing operational performance and starting up a new line First achievements: - Reduced LTI rate from 6/years to <0.1/year (currently at >400 days with no LTI) - Increased and stabilized yield of Cocoa processing unit from 83% to 84.5% (=> 5m€/year savings at current cocoa price) - Increased engagement scores incrementally by ~10% both in terms of engagement index and participation rate

Operations Manager
Amburgo
Department leader for Aerosol and Glass Bottles Center - Disciplinary responsibility for ca. 250 associates (incl. Production and Breakdown Maintenance) - ca. 1b€ NSV - Leading a major change program (closure of the AER department) in an extremely volatile environment - Sponsorship of major OpEx, Lean and Kaizen initiatives in the GBC department

Operations Manager
Hamburg, Deutschland
• Full responsibility for the AER department of BMH and its ~100 associates • Ownership of all relevant KPIs (Safety, Quality, Productivity, Costs) • Dynamic adaptation of production capacity to high market demand fluctuation (COVID-19) through transition to new and flexible shift-patterns • Turn-around of the department through restructuring of the leadership team, establishing Manufacturing Excellence fundamentals and best practices and ensuring the development of direct and indirect reports

Technical Manager
Straßburg, Großer Osten, Frankreich
• Complete responsibility for the site’s technical department (Engineering, Maintenance and House Services) and its ~45 associates • Managed ~15m€ annual budget (Maintenance & Engineering projects) • Owner of the site’s Engineering strategy and accountable for the execution of the elaborated masterplan, including the implementation of a new line (~22m€ investment) • Completed the Supply Leadership Development Program (SLDP): 1,5 year internal training program as preparation for senior leadership roles in Supply

Maintenance and Logistics Manager
Verden (Aller), Niedersachsen, Deutschland
• Complete responsibility for the Maintenance of the whole factory and the Outbound Logistics Team (~40 associates) • Led the Maintenance IPP work-stream in collaboration with McKinsey generating 2m€ annual savings through preventive maintenance rationalisation (FMEA analysis) and optimisation of the break-down maintenance team • Managed ~7m€ annual Maintenance Budget

Production Manager
Verden, Germany
• Complete responsibility (Operations & Maintenance) of the Can Segment and its ~55 associates • Led the closing of the Can Line, a major and heavily emotional transformational project for the Verden factory, including a shift pattern change from 3x8 to 2x10 in great collaboration with the works-council, local and regional teams.

Management-Trainee Supply
Verden (Aller), Niedersachsen, Deutschland
A 3-year program offering rotation through three multidisciplinary assignments 3rd Assignment: Shift Manager, Minden, Mars Germany • Operational responsibility for the whole factory during shifts and disciplinary responsibility for ~25 direct reports 2nd Assignment: Industrial Engineering, Verden, Mars Germany • Development of a simplified line-balancing tool and application in Verden (DE) and Melton (UK) factories to enable great CAB investment avoidance (~1,5m€) • Monitoring and enabling of 3,4M€ yearly savings within the Verden Can line-restructuring project 1st Assignment: Controls&Automation, Verden, Mars Germany • Optimisation and standardisation of a change-over process through use of Lean tools resulting in 70k€ yearly savings without any CAB investment • Development of a Human-Machine Interface (HMI) Standard applying the Usability Engineering principles leading to philosophy-change from machine-oriented to task-oriented with drastic effects on machine operation efficiency • Integration of the Verden HMI Standard in a European Best Practice and development of a Training Module available to all Project Engineers in the organization

R&D Intern at Gillette Shaving Technology Laboratory
Kronberg im Taunus, Hessen, Deutschland
• Proposal of cost-effective ways to extend laboratory's LED measurement capabilities • Development of design concepts and implementation of conceptual designs into finished assemblies with use of Labview measurement and control applications
Education

Artificial Intelligence and Machine Learning: Business Applications
A postgraduate program on AI and Machine Learning that uniquely combines a comprehensive curriculum, covering the most widely-used tools and techniques in the industry, with a hands-on learning approach. A portfolio with a minimum of 8 projects is carried out by each student. Major topics covered include: - Fundamentals of AI and Machine Learning (essentials of Python and its tools for Data Analysis and Computing) - Statistics and Statistical Learning - Supervised Learning (focus on Linear and Logistic Regression) - Ensemble Techniques - Feature Engineering, - Model Selection and Tuning - Unsupervised Learning - Neural networks - Computer Vision - Natural Language Processing - Recommendation Systems - Model Deployment
Alexis Kydonopoulos's Contact Information
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