You will receive a link to the demo by email
Decrease investments and operational costs
Define optimal flows and layouts
Ensure operational readiness
Analyse project financial performance: P&L, ROCE, etc
Analyse the quality of existing data
Define optimal flows and layout of the new line
Ensure consistent data from line-builders
Define optimal reference parameters to guide ramp-up
Analyse and improve the quality of existing data
Define optimal reference parameters to guide ramp-up
Guide with specific impact-driven actions during the entire ramp-up phase to stay on track
Tailored to any production environment, this service provides specific guidance to reach manufacturing objectives, or to assist in difficult, multi-dimensional production issues.
Reach the needed production Capacity using optimal resources
Decrease operational Costs, as flows and resources re optimized
Reduce quality issues while safeguarding the needed throughput
Best used in complex environments, it is a digital twin software that guides production management in daily decision-making. corrective and in continuous improvement actions, therefore minimizing operating costs and maximising throughput.
Identify upcoming bottlenecks and find the most impactful corrective actions
Drive your continuous improvement plan with impact-driven actions
Measure the impact of identified actions on the factory throughput
Our clients have experienced significant improvements, each of them translates into millions of euros.
Our experts work with you to identify opportunities and define objectives within your plant, then submit a detailed proposal with milestones, timelines, and price.
We use our specific framework to identify, collect and clean the right data to power the digital twin and to apply our expertise.
We model the flows of your plant and analyze capacity vs. requirements.
For our factory (re)design consulting services, this step is final, as it powers our experts to quickly build the desired recommendations and report.
For the SaaS services, our engineers develop a digital twin to emulate the physics of your plant and use powerful optimization algorithms to identify the solutions that best fit your objectives. Your plant, your teams, your KPIs.
We install the SaaS solution and train your teams so that you can use autonomously for ongoing operational analysis and optimization.
Dillygence’s work demonstrated that with the assumptions previously made during the process study, our factory could not deliver the required production. Dillygence then offered smart suggestions to improve the performance of the factory while drastically reducing inventories and improving the productivity of the factory. Additional benefits of the mission included the centralization and the validation of data, and the summary of the factory’s production flows in a powerful single visual. In addition, its clarity and simplicity also made it the perfect document to be used for internal communication and training. Following this project, we decided to introduce the use of digital twins as a mandatory step in the design of our future factories.
Florian Pallot
Chargé de Process Industriels
RATP
In the context of the transformation of the automotive sector and the transition to all-electric, Dillygence has accompanied us from the general functional analysis and today in the construction of our digital twin, essential to the launch and operation of our Gigafactory in Billy-Berclau. What was great about the work we did with Dillygence was the validation of our simulation model, the reduction of inventories - divided by two - the reduction of the lead time, and the improvement the whole Gigafactory flow.
Luc Macherel
Industrial-Support Pole Manager
Automotive Cells Company
When you have to manage the performance of fifty or so assembly cells, you cannot do so without having a clear vision of the priorities to be set for your teams, and this often starts with identifying the bottleneck of the factory, which everyone can find with a simple spreadsheet and some operation data. After identifying this bottleneck, the most difficult part is to determine everyone's contribution to the expected improvement. Manufacturing teams need to reduce operating losses, and maintenance teams need to improve reliability, but there are also times when cycle times or buffer sizes need to be reduced, which can require decision-making and financial resources. Today, thanks to DispoX and the sensitivity analysis that is included, we can clearly identify our short-term (reliability and maintainability) and medium-term (cycle time, inventory) action plans. Thank you to DILLYGENCE for this user-friendly tool, which also allows us to visualize our factory’s problems on a daily basis.
Marc Breuillot
Support Tech Press & Body
Stellantis
To introduce a new platform, we went through a major redesign of our factory. Then when the production restarted, we struggled to reach our throughput target. DispoX is an excellent tool for visualizing the impact of actions on the performance of the lines to be improved, identifying, and prioritizing the most impactful actions. It allows you to see what the factory will look like with the improvements made. Examples of proposed actions include cycle time increase, use of overtime, and buffer size optimization... Thanks to DispoX we were able to converge very quickly towards the target. We saved plenty of time and money by implementing the right-sized solutions. DispoX is an even more efficient tool if it is introduced at the factory design stage!
Didier Delsarte
Manager Press welding
Toyota Motor Manufacturing France
