{"id":4949,"date":"2017-04-05T14:45:45","date_gmt":"2017-04-05T18:45:45","guid":{"rendered":"https:\/\/digital.hbs.edu\/platform-digit\/submission\/self-driving-ships\/"},"modified":"2017-04-05T14:45:45","modified_gmt":"2017-04-05T18:45:45","slug":"self-driving-ships","status":"publish","type":"hck-submission","link":"https:\/\/d3.harvard.edu\/platform-digit\/submission\/self-driving-ships\/","title":{"rendered":"Self-Driving Ships?"},"content":{"rendered":"

Rolls-Royce (RR) is not just another engine manufacturer, but rather they see\u00a0themselves as a provider of \u201chighly-efficient integrated power and propulsion solutions\u201d[1]<\/a>. This distinction speaks to the three key pillars of Rolls-Royce\u2019s business model\u00a0(1) Engineering Excellence, (2) Operating Excellence, and (3) Capturing After Market Value, and Big Data plays an important roll in all three of these categories from design and manufacturing to ongoing operations. \u00a0In their own words – \u201cwe analyse billions of data points every day. We have developed a capability to detect, diagnose, and prioritise issues with critical equipment and a deep understanding of the tools, processes and business models needed to do that.\u201d[2]<\/a> All of their equipment is already fitted with sensors that collect and analyze data leading to actionable recommendations that that can deliver increased safety and efficiency. However, the company\u2019s latest venture into \u201cShip Intelligence\u201d will leverage over 20 years in Equipment Health Management (EHM) in aerospace and help propel the shipping industry into the future.<\/p>\n

\"\"<\/a><\/p>\n

What is Ship Intelligence?<\/strong><\/p>\n

\u201cWe are entering a truly exciting period in the history of shipping, where technology, and in particular the smart use of Big Data is going to drive the next generation of ships. Over the next ten to 20 years we believe Ship Intelligence is going to be the driving force that will determine the future of our industry, the type of ships at sea, and the competence levels required from tomorrow\u2019s seafarers.\u201d<\/em> \u2013 Mikael Makinen, Rolls-Royce, President \u2013 Marine<\/p>\n

Ship Intelligence is Rolls-Royce’s initiative to make ships smarter via big data analytics and artificial intelligence. \u00a0In the short- to medium-term this will involve solutions similar to those it applies in aerospace\u00a0to monitor and improve performance of its jet engines. \u00a0Longer-term projects are aimed at developing the technology for remote and autonomous vessels.<\/p>\n

RR has already invested in a new Marine Fleet Management Center in Norway which will allow it to remotely monitor and provide data analysis and optimization of ships and their onboard equipment. This is essentially an extension of its \u201cPower by the Hour\u201d concept from the aerospace business to the marine business.[3]<\/a><\/p>\n

Beyond expanding\u00a0existing capabilities to other verticals, RR is also investing in projects focused on the future development of remote and autonomous shipping technologies. Their ambition is to see a remote-controlled ship in commercial use by 2020.<\/p>\n

Here\u2019s a teaser of what the land-based control center could look like:<\/p>\n

https:\/\/www.youtube.com\/watch?v=vg0A9Ve7SxE<\/a><\/p>\n

https:\/\/www.flickr.com\/photos\/rolls-royceplc\/26718651875\/in\/album-72157647334399764\/<\/a><\/p>\n

To make this vision a reality, RR will have to pursue innovation in both hardware and software technologies. On the hardware front, they need to perform a series of tests at sea to find the optimum sensor technology that works in various operating conditions to collect all the data necessary to\u00a0allow the vessel to navigate safely and accurately. \u00a0These ships will have to respond to diverse environmental conditions as well as various maritime rules and regulations so from an artificial intelligence standpoint RR needs to\u00a0collect copious amounts of data and then\u00a0develop and test control algorithms. \u00a0This development will involve a \u201cgradual and iterative process\u201d especially since they need to meet very high standards to make autonomous shipping practical\u00a0[4]<\/a>.<\/p>\n

Value Creation<\/strong><\/p>\n

Ship Intelligence (from Power by the Hour to\u00a0autonomous shipping) will allow customers to run leaner operations. In the short- to medium-term they will be able to save on fuel costs, increase safety on board, reduce the opportunity for human error, and free up crews for more valuable tasks via the automation of certain processes. \u00a0RR also envisions\u00a0a world where shipping will become a modular component of fully integrated supply chains and larger production processes and Ship Intelligence will be an important tool in addressing total asset utilization and process optimization\u00a0[5]<\/a>.\u00a0 If and when remotely controlled ships become a reality, companies will save even more on labor costs as well as fuel since ships will not need to have crew quarters.<\/p>\n

Value Capture<\/strong><\/p>\n

RR started providing customers with data solutions as a strategic response to the increasing commoditization of its jet engine\u00a0business. \u00a0The company has made the greatest advancements in its aerospace division where it rolled out a new service model called Total Care in which customers are charged per hour for use of its engines, with RR underwriting all of the servicing costs. Ship Intelligence will probably extend this model to shipping and take it a step further. \u00a0By providing a full ship intelligence system, RR\u2019s customers will become even stickier as the company provides them with a fully integrated shipping solution \u2013 from equipment to software to data analytics and beyond.<\/p>\n

Challenges and Opportunities<\/strong><\/p>\n

Successful implementation of Ship Intelligence will not be easy. \u00a0RR will have to contend with technology challenges, regulatory hurdles, and increased competition from new start ups that will not have to worry about the large fixed costs associated with manufacturing, but rather can focus on specialized software development. \u00a0However, RR can leverage existing resources as it makes its vision a reality including existing client relationships, years of experience in data analytics and the global scale and reputation to form partnerships to fill in gaps in its own capabilities. \u00a0By proactively pursuing Ship Intelligence, Rolls-Royce is using data analytics and artificial intelligence to shape a future in which it continues to lead\u00a0by driving innovation.<\/p>\n

Check out another Ship Intelligence initiative \u2013 the smart bridge \u2013 here:<\/p>\n

https:\/\/www.youtube.com\/watch?v=_kv1hQLKOB0<\/a><\/p>\n

More videos and mock ups here:\u00a0Rolls Royce Ship Intelligence<\/a><\/p>\n

[1]<\/a> https:\/\/www.rolls-royce.com\/~\/media\/Files\/R\/Rolls-Royce\/documents\/investors\/2017-factsheet-v1.pdf<\/a><\/p>\n

[2]<\/a> http:\/\/www.rolls-royce.com\/products-and-services\/marine\/ship-intelligence\/discover\/big-data.aspx#section-discover<\/a><\/p>\n

[3]<\/a> http:\/\/www.professionalmariner.com\/Web-Bulletin-2017\/Rolls-Royce-announces-development-in-R-D-for-ship-intelligence\/<\/a><\/p>\n

[4]<\/a> http:\/\/www.rolls-royce.com\/products-and-services\/marine\/ship-intelligence\/discover\/technology.aspx#section-discover<\/a><\/p>\n

[5]<\/a> http:\/\/www.rolls-royce.com\/products-and-services\/marine\/ship-intelligence\/discover\/future.aspx#section-overview<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Rolls-Royce is using Big Data to make ships smarter and eventually drive themselves<\/p>\n","protected":false},"author":1126,"featured_media":4950,"comment_status":"open","ping_status":"closed","template":"","categories":[877,1368,1369,29,1370,1367],"class_list":["post-4949","hck-submission","type-hck-submission","status-publish","has-post-thumbnail","hentry","category-ai","category-autonomous-shipping","category-autonomous-vessels","category-big-data","category-rolls-royce-uncategorized","category-shipping"],"connected_submission_link":"https:\/\/d3.harvard.edu\/platform-digit\/assignment\/data-and-analytics-as-digital-assets\/","yoast_head":"\nSelf-Driving Ships? - Digital Innovation and Transformation<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/d3.harvard.edu\/platform-digit\/submission\/self-driving-ships\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Self-Driving Ships? 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