New facility to expand temperature and system product manufacturing
October 29, 2018
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Endress+Hauser has invested more than 10.4 million euros in a 4,800-square-metre facility building containing new production and office space, and technology and common rooms.
The expansion – at its Nesselwang, Germany location – was driven by the growing demand for innovative temperature technology and system products, as well as the introduction of new product lines.
“We are constantly investing in our centres of competence in order to develop persuasive solutions for our customers and to increase production efficiency,” said Matthias Altendorf, CEO of the Endress+Hauser Group, during the dedication ceremony on Friday.
In many processes, temperature is a measurement parameter with a major influence on product quality.
“We will continue to expand and round out our temperature and system product portfolio so that we can be in a position to optimally serve our customers in the future as well. To do that, we need additional space for research and development, production, logistics and quality assurance, which this new building provides,” said Harald Hertweck, managing director of the Endress+Hauser centre of competence for temperature measurement technology.
The eye-catching new building has intelligent architecture featuring a sloping facade that offers protection against the sun, plus glass fronts that let in an abundance of light. The new building also boasts a sustainable energy concept, including a photovoltaic system installed on the roof that provides enough electricity to completely power the basic production load.
E-bike charging stations further underscore the emphasis on sustainability.
While the building was being constructed, the production and and logistics processes were also optimized and structured in accordance with Lean Principles and the One Piece Flow approach. This structure enables the centre of competence to increase the individual responsibility of the employees, add more flexibility to the production process and optimally utilize the capacity of the machines and operational resources.