Volkswagen confirms two memorandums of understanding with governments of Nigeria and Ghana
The Germany-based automotive manufacturer, Volkswagen, has announced it has signed two memorandums of understanding with the governments of Nigeria and Ghana.
The aim of the agreement is to develop plants in both of the countries and accelerate the development of new mobility solutions in Ghana.
As part of German Chancellor Angela Merkel’s trip to Africa, the document was signed in front of Vice President, Mahamudu Bawumia, in a move which demonstrates how much Volkswagen values its reach in Africa.
Head of the Volkswagen Sub-Saharan Region, Thomas Schaefer, said: “Both memorandums of understanding demonstrate one thing: the seriousness with which Volkswagen takes its commitment to Africa.”
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“We are well positioned. The situation on the continent has stabilized, and the economy is moving forward. The final hurdles for the development of the automotive industry there have been removed as a result. This is a great opportunity for us.”
An assembly plant is set to be constructed in Ghana which is also expected to include a sales and service network in the country, in addition to creating a Training Academy for Production and After Sales.
Predictive Monitoring for Continuous Operations Management
Unplanned downtime and poor maintenance procedure can cost companies a lot of time and money.
For companies looking to set specific targets for cost efficiency, production output and quality control, the ability to predict how certain variables affect machines can aid success in reaching these targets.
Monitoring and remediation are important steps to optimize production, by adopting Predictive Monitoring, organizations can receive the ideal support to keep operations running efficiently, and ongoing maintenance to keep machines running at their best.
Predictive Monitoring is an AI driven method of production analysis. It uses metrics such as temperature and vibrations to determine when machines are working outside of their optimum conditions.
Around 98% of organizations report that a single hour of downtime can cost them over US$100,000, which highlights a significant cost implication that can be avoided with AI driven analytics.
TwinThread applications work with Predictive Monitoring to provide a network of data, which ensure machines work within their optimum conditions, for the best output.
Providing the Digital Tools
According to PwC’s ‘Digital Factories 2020’ report, “manufacturers’ adoption of machine learning and analytics to improve predictive maintenance will increase by 38% by 2022.” One of the main reasons for this, given by 98% of respondents, is to gain more efficiency through investment into digital factory solutions.
By learning what potential issues may occur if machines are not working to the correct standard, Predictive Monitoring systems work with TwinThread’s Predictive Asset Reliability application, which conducts an “automated root cause analysis” enabling the operator to analyze how the machine has fallen from its optimum conditions. Ultimately, any issues will be addressed much faster when predictive technology uses data to monitor variables.
“TwinThread’s Predictive Operations Center is making a big difference to our process engineers, giving them real-time feedback on the stability of our production,” said Domenic Verte, Manufacturing Application Manager at Toray.