SAP enables digital transformation in asset management
SAP SE has introduced SAP® Asset Intelligence Network and the SAP Predictive Maintenance and Service solution to help equipment manufacturers, service providers and asset operators benefit from the Internet of Things.
These will provide new insights and the ability for all stakeholders in asset management to move from a reactive to a more proactive approach.
Hans Thalbauer, general manager, Extended Supply Chain, SAP said: “We are now at a point where business challenges such as balancing cost, risk and performance meet technology enablers like in-memory analytics and cloud-based platforms for collaboration to initiate a quantum leap in operational excellence.
“Connectivity across the Internet of Things is helping machines talk to business information systems, and our new offerings provide the network and ability to take insight to outcome, creating a completely new digital asset lifecycle.”
SAP Asset Intelligence Network offers a single, global register of model and equipment information. The network provides a secure cloud platform to connect multiple business partners for inter- and intra-company collaboration in a central clearinghouse and communications hub. Using a cloud-based portal sharing standardized content helps ensure a consistent definition among business partners.
“I expect that every device we manufacture at Endress Hauser is automatically available with all relevant lifecycle information in the SAP systems of our customers,” said Klaus Endress, president of the Supervisory Board, Endress Hauser. “Appropriate information at the needed time is of unimaginable value because this improves the efficiency and therefore the results of the entire company.”
SAP Asset Intelligence Network permits SAP S/4HANA to facilitate business-to-business integration for asset data. With a common definition of equipment, greater transparency and common data, the network provides not only the collaboration platform for asset-related information but also the business context for predictive maintenance and service. Advanced analytics information for identifying and understanding trends can be shared across the network, and it is possible to notify both manufacturers and operators about imminent shortfalls or failures.
SAP Predictive Maintenance and Service Cuts Costs, Boosts Reliability
SAP Predictive Maintenance and Service is designed to help businesses decrease maintenance and service costs, while boosting availability and reliability of enterprise assets. Using predictive analytics on the SAP HANA® platform, the solution processes vast amounts of real-time operational data from sensors and smart assets.
SAP Predictive Maintenance and Service provides built-in capabilities that analyse sensor data and monitor equipment behaviour remotely for businesses in asset-intensive industries as well as original equipment manufacturers (OEMs) offering new service business models for their customers. The solution provides predictive models for machine learning and closed-loop integration with business systems to trigger corrective actions in service and maintenance systems to avoid unplanned downtimes.
“Being able to anticipate events and maintenance operations helps increase the efficiency and performance of our enterprise assets,” said Falko Lameter, CIO of Kaeser Kompressoren. “SAP Predictive Maintenance and Service enables us to align our products and services more closely with our customers’ use patterns and operating needs.”
Elon Musk's Boring Co. planning wider tunnels for freight
Elon Musk’s drilling outfit The Boring Company could be shifting its focus towards subterranean freight and logistics solutions, according to reports.
A Boring Co. pitch deck seen and shared by Bloomberg depicts plans to construct wider tunnels designed to accommodate shipping containers.
Founded by Tesla CEO Musk in 2016, the company initially stated its mission was to offer safer, faster point-to-point transport for people, particularly in cities plagued by traffic congestion. It also planned longer tunnels to ferry passengers between popular destinations across the US.
The Boring Co. completed its first commercial project earlier this year in April. The 1.7m tunnel system is designed to move professionals between convention centres in Las Vegas using Tesla EVs. It says the Las Vegas Convention Centre Loop can cut travel time between venues from 45 minutes to just two.
Boring Co.'s new freight tunnels
The Boring Co.'s new tunnel designs would allow freight to be transported on purpose built platforms, labelled as “battery-powered freight carriers”. The document shows that, though the containers could technically fit within its current 12-foot tunnels, wider tunnels would be more efficient. Designs for a new tunnel, 21 feet in diameter, show that they can comfortably accommodate two containers side-by-side, with a one-foot gap between them.
The Boring Co.’s new drilling machine, dubbed Prufrock, can tunnel at a rate of one mile per week, which is six times faster than its previous machine, and is designed to ‘porpoise’ - mimicking the marine animal by ‘diving’ below ground and reemerging once the tunnel is complete.
Tesla’s supply chain woes
Tesla is facing its own supply chain and logistic issues. The EV manufacturer has raised the price of its vehicles, with CEO Musk confirming the incremental hike was a result of “major supply chain pressure”. Musk replied to a disgruntled Twitter user, confused as to why prices were rising while features were being removed from the cars, saying the “raw materials especially” were a big issue.
Car manufacturing continues to be one of the industries hit hardest by a global shortage in semiconductor chips. While China’s chip manufacturing levels hit an all-time high in May, and the US is proposing a 25% tax credit for chip manufacturers, demand still outstrips supply. Automakers including Volkswagen and Audi have again said they expect reduced vehicle output in the next quarter due to a lack of semiconductors, with more factory downtime likely.
Top Image credit: The Boring Company / @boringcompany