Measurement Systems Analysis
To diagnose the quality of a measurement system and to identify its sources of variation.
Statistical Process Control (SPC)
To determine an implementation approach for SPC adapted to your company and choose the type of control chart that will meet your needs and be best adapted to your data.
Design of Experiments (DOE)
To evaluate which factors contribute most to the variation of your process by an optimal and economic planning of the data collection procedure and a statistical analysis of the results carried out by experts.
Statistical Modeling and Multivariable Analysis
To obtain the maximum information from your data by applying multivariable statistical analysis. This analysis will allow you to identify variables having a strong link with a quality parameter and\or to build a model aiming at forecasting future results.
Problem Solving Techniques
To resolve important problems by using a structured method and tools adapted to the situation.
Establish specifications for your process parameters in order to obtain the desired quality on finished products.
Multivariate statistical analysis and predictive modelling
To obtain the maximum information from your data by applying multivariable statistical analysis or machine learning algorithms. This analysis will allow you to identify variables having a strong link with a quality parameter and\or to build a model aiming at forecasting future results.
Performance indicators – Decision helping tools for managers
Choosing the appropriate performance indicator and implementing an efficient monitoring technique in order to quickly understand the situation.
Measurement of Customers Satisfaction
To elaborate the approach that will allow you to measure customer satisfaction, and determine the critical elements affecting it. We do not limit ourselves to the measurement of satisfaction; we make sure actions will occur as a result.
Determine sample size and decision rules to ensure batch quality control.
Discrete Events Simulation
Build a model linking operations, personnel and tasks to understand the influential interactions between all aspects of a production system. This makes it possible to improve schedules, augment throughput and support engineering for design and expansion projects.
Consulting in continuous improvement and Lean Six Sigma
We can help you to elaborate an implementation strategy tailored to your organization, to accompany you in the training, selection, and coaching of projects. The programs we offer:
- Process Improvement (Lean Six Sigma)
- Business Process Improvement (Lean Office)
- Maintenance and Reliability Improvement (Lean Maintenance)
- Research and Development Improvement (Design For Six Sigma)
- Improvement of daily management (Lean Management)
Value Stream Mapping
We can assist you in developing the value stream map of your actual process by facilitating a working session where the team will map the process, collect data and identify waste. We can also help you in identifying improvements and map the future process.
SMED, 5S, Kanban, Visual Management, Cellular Layout
You have an opportunity to apply a Lean tool, we can help you in ensuring a successful implementation. We can assist you in validating your choice of tool, in planning its implementation and participating to its design and deployment, in measuring the outcome and making sure a control procedure is in place to maintain the gains.
If you want to improve the efficiency of your process improvement team meetings, the Kaizen Blitz could be an approach you want to consider. Our experts can introduce you to this intensive, high energy, focussed team meeting process and facilitate a Kaizen Blitz event in your organization.
Fields of Expertise Examples:
Pulp and paper, aluminium, telecommunications, pharmaceutical, electronic sensors, metal and mining, aeronautics, transportation, ink, tissue papers, packaging, food, breweries, health care (C/S), real estate, call centers, quality departments and technical services, research centres, printing, wallpaper, government, municipal, medical devices, chemicals, rubber, ports and rails operation, baggage handling and airports activities, electrical power generation.
Support on statistical softwares
Différence offers support to users of the following statistics softwares:
- Power BI
- langage R
Différence offers support to users of the following simulation software:
The support can be given through coaching or training.
A powerful, capable, and easy-to-use 3D simulation software. FlexSim lets you model - and improve - existing and proposed systems.
Model a real system in a native 3D virtual environment.
Account for real-world variability with FlexSim’s vast array of statistical distributions and random numbers.
Run simulation using the model to test “what if” scenarios—without needing to change things in the real world.
Learn more: www.simulking.com/flexsim
We are proud to be an official JMP partner, helping users get the most out of their investment in JMP products. JMP statistical software is made by SAS. It is visual and interactive, which gives users the ability to explore data dynamically and make statistical discoveries. Since 1989, scientists, engineers and other data explorers have been using JMP software to make their worlds better.