Kawasaki Heavy Industries Ltd., the maker of New York City subway trains, is seeking to buy a train maintenance company in the U.S. to help increase its services lineup and boost profit margins. "The costs for maintenance are largely fixed," Yoshinori Kanehana, president of the company, said in an interview Tuesday. "By bringing that in-house, we can cut costs and increase profit." Kawasaki Heavy, which gets a quarter of its revenue from the U.S., its biggest market outside Japan, is considering spending "several billion yen" to acquire a U.S. company, he said. The Kobe-based company is competing with other Asian train makers such as Hitachi Ltd. and CRRC Corp. in North America, as well as Bombardier Inc. Kawasaki Heavy, which also supplies bullet trains to Japan and Taiwan, is targeting a 36 percent increase in rolling stock sales to 200 billion by the year starting April 2018, from 147 billion in the 12 months through March, it said in May.
Laura Riley has a 10-year-old son, Louis, and has been chasing child maintenance payments for nine years. She says she is owed more than £9,000, but has been unable to get any money from her son's dad. Across the UK, there is a backlog of more than £3.8bn in uncollected child maintenance payments, with figures showing about 1.2 million people are owed money.
When managing the maintenance practices for a facility it's important to understand the different approaches and the benefits of each. At the core, maintenance styles can be classified into a few different categories. Some of the most common approaches include reactive maintenance and preventative maintenance. You may already be familiar with those or even practicing them yourself, but there are more efficient styles quickly gaining traction. Predictive maintenance (PdM) is defined as maintenance practices designed to help determine the condition of in-service equipment in order to predict when maintenance should be performed rather than on a preset schedule (preventative).
NEW DELHI: Artificial intelligence (AI) that can diagnose the condition of rail tracks will be used by the railways to prepare a repair and replacement calendar and improve punctuality of trains, according to an official. In India, unplanned track maintenance work is often cited as a reason why train operations descend into chaos. Use of AI, the official said, will ensure that at least 90% of trains run on time as routine maintenance work would be planned in advance on the basis of the AI-aided calendar. All large maintenance blocks will be taken up only on Sundays to minimise the impact of train delays, the official said, adding that the national transporter is already procuring automatic track detection machines which, through AI, can predict the life of tracks and track joints. The move is also seen substantially reducing the number of train accidents.
Predictive maintenance is a bit ahead in the hype cycle, having past its peak. Now is the time for it to slowly penetrate business. However most executives are not clear on difference of predictive maintenance from the preventative maintenance they have been conducting for years so it would be great to start off with the definitions. Predictive maintenance: Perform maintenance when you predict that issues will arise. Keeps maintenance costs minimum since maintenance will only be completed when predicted and maintenance will be planned preventing urgent resource allocation inefficiencies.