EyeOn helps companies in the life science effectively address the supply chain challenges faced in today’s and tomorrow’s world, whether it is about reducing waste in the supply chain by connecting all disciplines in the life science supply chain, reducing and controlling working capital through end to end visibility and planning, gaining step change efficiencies with data driven processes like forecasting and SC optimization or reducing cycle times by developing integrated and APS supported SNP / MPS and scheduling planning cycles. We help to achieve tangible and durable results in working closely with our clients hands-on with independence, expertise, enthusiasm and fun.
Our consultants support in design, implementation and optimization of core tactical processes in S&OP, end to end planning, supply planning and demand planning. Even during mergers & acquisitions and portfolio carve outs, we help to keep working capital in control and forecast accuracy at a good level. We deliver concrete projects with a short throughput time and clear deliverables. How do we do it? By:
- Leveraging state of the art SC techniques in the areas of forecasting, inventory management and optimization
- Focusing on planning processes & system design and implementation
- Maintaining system independence
- Effectively connecting with other disciplines in the life science supply chain like quality, regulatory affairs, supplier integration, technical owners, etc.
Join our network
By exchanging experiences and sharing best-practices on Planning & Forecasting topics between peers, every company benefits from the learnings. EyeOn enables knowledge sharing through hosting inspirational knowledge network events in the Netherlands, Belgium, Switzerland and Ireland for Planning & Forecasting professionals in the Life Science industry. Discuss the latest trends and innovations in your field, exchange knowledge with the business peers and learn from the best practices during our events!
Life Science projects
Using order book data to enhance your statistical forecast The vast majority of companies rely on statistical forecast models to predict their demand. These models use time series of historical sales to estimate future demand. A key assumption of these models is that...
The challenge As this unique month is coming to an end a new challenge is presenting itself for supply chain specialists. By now everyone world-wide is facing some impact of the corona virus. For sales and operations planning (S&OP) this means: in a few days the...
The current fast changing demand and supply world does not wait for next month’s S&OP cycle. There is a big need to increase speed and quality of decision-making and to reduce data latency. To cope with the abundance of signals influencing the supply chain, there...