Position: Project Manager

Group: Factory planning and production management

Education: 2003-2009: University Stuttgart. Since 2009: Fraunhofer IPA

Industry expertise: Mechanical and plant engineering, Automotive and automotive supplier, process and other industries

Core competencies: Complexity management, turbulence analysis, lean order management, efficient production planning and control, optimization of production logistics, Selection and implementation of ERP and MES systems, business process optimization, knowledge management in production, digital factory

Selected key projects: Selection and implementation of a planning software to increase transparency and efficiency, support in the development of an internationally applicable integrated production planning and control solution, elaboration of a development roadmap for order management, study "Importance of MES in drug manufacturing and packaging”, methodical development of a tool set for complexity management, Evaluation and systematic increase of transparency in logistic systems, model for classification, characterization and evaluation of ultrashort process chains, planning and optimization of a factory for the production of bridge components based on composite materials (bridge construction industry), factory data management for linking product development and production planning.

Position: Research Associate and Project Manager

Group: Corporate and Production Strategy

Education: 2014-2018: Mechanical and Industrial Engineering (Stuttgart University). Since 2018: Fraunhofer IPA

Industry expertise:

Mechanical and plant engineering, aerospace (manufacturing), automotive and automotive supplier, process industry

Core competencies:

• Production strategy: process optimization in manufacturing and logistics

• Digitization strategy: maturity level analysis, technology evaluation, roadmapping

• Organization development: organizational structure for digital transformation

• Business model innovation: data-driven business models

Selected key projects:

• Industrial projects: Design and application of tools for methodical analysis and derivation of digitization strategies in industrial companies; development of production and digitization roadmaps and digital business models

• Current research project: FabOS operating system for factories (focus: business model); research factory for battery cell production (focus: organizational structure)

Contact: vladimir.jelschow@ipa.fraunhofer.de, +49 7119701924

Position: Research Associate Research

Group: Autonomous Production Optimization

Master Degree: 2017 University of Stuttgart Mechanical Engineering / Materials and Production Engineering

Domains: Production Engineering, Data Science in Manufacturing Engineering

Skills: Acquisition and preparation of production data, modelling production Systems (mostly in python)

References:

• Data-driven root-cause analysis of quality losses in automotive industry

• Performance enhencement for injection molding machines based on plc data

• Development and execution of a training of a data-driven application for an organization

Position: Scientific assistant

Group: Maintenance and asset management

Education: Business Administration (LMU Munich) Mechanical Engineering (Karlsruher Institute of Technology)

Experience: 5 years

Industry expertise:

Mechanical and plant engineering, automotive, process industry, steel mill, energy production, food and pharmaceutical industry, electronic industry

Core competencies:

Maintenance management, spare parts management, maintenance and service business models, change management, production and maintenance interface, service supplier management

Selected key projects:

Analysis and restructuring of maintenance departments, spare part management, developing of new maintenance service, OEE analysis and improvement, production and maintenance planning, optimization, risk based maintenance planning, disruption and effect analysis for selected plants, asset prioritizing

Seminars held:

Smart maintenance; maintenance management; future maintenance requirements; Overview of Industry 4.0 and cyber-physical systems; Risk-based maintenance strategies (focus: plant availability); Predictive and Prescriptive maintenance; Continuous improvement process in maintenance; Practical methods for increasing productivity, system effectiveness (OEE) and quality

Position: Research associate

Career Background

Since 2016: Fraunhofer IPA

2009-2016: RWTH Aachen M.Sc.

2014-2015: Tsinghua University

M.Sc. (Beijing)

Industry Expertise :

Mechanical and equipment industry, automotive industry

Core Competencies :

Business processes with focus on industry 4.0 and digitalisation, Business model innovation and implementation, lean implementation in administration and production, process analysis and optimization, continuous improvement

Key Projects :

Development of new business models in B2B customer business

Analysis of customer processes and derivation of their requirements for new value propositions, conception of suitable business models, implementation of the business models in the product-service ecosystem

Integrated industry 4.0 strategy implementation for an automotive supplier

Analysis of order-to-cash processes, derivation of digital potentials for process improvement, implementation of best practices in internal processes

Implementation of lean production: mechanical and plant engineering

Analysis of business processes and introduction of lean production on an administrative and operational level for existing plants and new factory planning.