Engineering

• Feasibility, Preliminary projects 
• Detailed projects 
• Execution studies
• Tender file / Call for tender
• Construction monitoring / FAT
• Commissioning SAT / IQ / OQ / PQ
• Maintenance / Optimization

From project managers, business managers and planners to lot specialists, designers, works coordinators or HSE coordinators, EFOR deploys operational experts capable of providing their technical expertise throughout the life cycle of our clients’ projects.

In addition, our data visualization experts offer value solutions that provide a holistic view of manufacturing processes to proactively resolve potential quality and process performance problems. Finally, with proven skills in production and supply chain, our employees provide our clients with solutions throughout the production and supply chain to help them improve processes and optimize flows to better manage risks.

EFOR experts support our clients throughout the following phases:

• Planning of shutdowns
• Management of daily meetings
• Management of HSE activities
• Support for post-shutdown restart
• Organization of feedback on the shutdown and proposal of improvement actions

The emergence of monitoring sensors has led to the development of a new type of maintenance: predictive maintenance. EFOR group assists its clients in applying this novel approach, which allows for optimizing equipment interventions based on a probabilistic approach to risk. Our data scientists study sensor information, maintenance and failure history, and use machine learning algorithms to indicate the optimal period for performing maintenance operations. As a result, interventions are better planned and emergencies are reduced, leading to lower operational costs and increased operational serenity

This approach relies on several types of activities:

• Analysis of the current state through mapping processes, their interdependence, and their efficiency presented in a graphical form to highlight areas of waste in a Lean Six Sigma approach.
• Deep data analysis using statistical control tools and various analysis diagrams (Pareto, fishbone). Data analysis aims to identify vulnerabilities and improvement points.
• Rigorous project management based on standards (Prince2, PMP, etc.) to manage the implementation of key deliverables with end-to-end monitoring (from objectives to evaluation through planning and execution).
• Continuous improvement aiming to maximize the quality, efficiency, and profitability of processes. Measurable KPIs, their monitoring and updating, are at the heart of continuous improvement. Training and awareness-raising also promote the adoption of the overall continuous improvement approach.

The objective is not only to increase production rates, but to also seek the best quality in product manufacturing by limiting costs related to rejected parts, handling of complaints, or production line shutdowns for unplanned maintenance, among others.

Industry 4.0 is based on the development of new technologies combined with advanced analytical approaches. It refers to a new generation of connected and intelligent factories capable of adapting more easily to production needs and processes. Machines, operators, and products interact. These new processes also allow for connecting the end consumer to the production tool to meet the challenges related to final product customization or reduce the impact of complaints due to quality issues.

Analytics and data science, augmented reality, IoT, and automation are just some of the expertise dedicated within the Efor group to support our clients in implementing Industry 4.0 evolutions.