FIVE Technologies for the next 10 Years
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Presented at AusIMM, Perth, March 2017
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FIVE Technologies for the next 10 Years
- 1. five technologies FOR THE NEXT © 2017Ken green Tech talk March 13,2017 10 YEARS & why collaborationwillbe critical
- 2. 1. MOBILE 2. Internet of things 3. Machine learning 4. Robotics 5. Blockchain The future is: digital !
- 3. Ocean engineering plant of thefuture Enterprise analytics Reliable production offloading Safer riser& moorings anchoring& & foundations Loads – extremewaves Lifecycle monitoring Flow assurance Process intensification Adaptivecontrols Non-intrusive inspection Intelligentlayout Spareson demand High performance computingfor geoscience Sensorfog and wifi Woodside: futurelab
- 4. “great things in business are never done by one person, they’re done by a team of people.” Steve Jobs The collaboration imperative
- 5. factors to consider when innovating..
- 6. intellectual property beurocracy finance partners &suppliers Barriers to innovation Source:GE2013
- 7. 242% Increasesinproductivity 77% Reportboostin financial results From collaborativeinnovation 68% Areopen torisksharing Associated with innovation What is happening.. What are the results.. The roi on collaboration is increasing Source:GE2016 Source:GE2016 Source:NSWbusinesschamber2014
- 8. collaboration: not just for big co.
- 10. 10000 xmore traffic 10-100 x more devices 1millisecond latency m2m ultra-low cost 10 Gbit/s peakdata rates 100 mbit/s Wherever needed capacity latency Energy consumption cost User data rates coverage mobile: towards 5g networks
- 11. 1 2Sensors & actuators Connectivity & mobile 3people & processes iot: internet of things 4Cyber security
- 12. Iot Platforms: overwhelming choice 25 26 26 28 37 42 53 62 68 81 Lifestyle/wearable public sector supply chain retail energy healthcare automotive smart city manufacturing home 360+ Platforms
- 13. analyticscompute storage database security iotMachine learning Iot Platforms: just get started!
- 14. Source:iotanalytics 0 10 20 30 40 Timeline(inmonths) ~2.5years ~1.25years Pre-study Screening/sourcing platforms Platform integration Roll out Buydecision Sourcingyouriot platform Pre-study Building/hiringthe team development Roll out makedecision buildingyourown iotplatform Iot Platforms: partnering critical
- 15. Iot : references
- 16. Data analytics
- 17. 1 2Sensors & actuators Connectivity & mobile 3people & processes 4Cyber security
- 18. optimisation: no left turns
- 19. 100pa M optimisation: no left turns $400M fuel wages Running costspa 100pa kcoTONS orion 18day M deliveries milessaved 2 250DAY MADDRESS POINTS 30MIN k ROUTEOPTIMISATIONS
- 20. optimisation: improved scheduling of labour &
- 22. 2 3 4 5 6 7 8 9 10 2 3 4 5 6 7 8 9 10 11 12 13 Trucks Loads Loading Time Queuing Time Spotting Time optimisation: no left turns ??
- 24. Machine learning: asset management 20 Filters 12 Months 77,000 Sensors/Tags 44.4B Data Points $1M/month
- 25. Data analytics: as a service
- 26. when asked,a room filled with150 data scientistswhich of them had evergenerated provenbusinessvalue. No-one … puttheir hand up! Laboratory forInformation and Decisionsystems (LIDS), MIT, 2016 Data analytics: A silver bullet?
- 27. business goals A failure to bridge & analytic efforts A failureto work lean & agile In a manner that is A lack ofdiscipline results In measuring Data analytics: three common problems 1 2 3
- 28. Optimisation is an extension of continuous improvement business goals A failure to bridge & analytic efforts A failureto work lean & agile In a manner that is A lack ofdiscipline results In measuring Data analytics: no silver bullets 1 2 3Kai zen
- 32. Automating the routine & mundane
- 35. 3D printing: the promise
- 36. 3D printing: the promise New products & deliverymodels New designs,enabledbycheap geometric complexity,that reduce weightandoffer geometry- drivenperformance New Delivery Models(e.g.mass customisation) Tooling Savingson custom tooling thatwould otherwiseamortize poorly over productionquantities Conformal toolingenabledbythegeometric complexitythat3-Dprintingaffords Assembly Reduced assembly steps viaprintingintegratedassemblies,cuttinglabour expensesand improvingquality control Inventory Reduced inventory (legacy or spareparts)thanksto printingondemand Improvedproduct LifeCycle Faster time to market Leaner more iterativeapproachto design,reducing impactof bothdesign-basedand commercial uncertainty Source:McKinsey2015
- 37. Diffusion of innovations 3d- printing is here!! % marketshare % of peopleadoptingthetechnology Early adopters 13.5% Early majority 34% late majority 34% laggards 16% 100 75 50 25 0 Marketshare% Innovators 2.5%
- 38. Not Familiar, beyond press coverage 40% Familiar, beyond press coverage 60% 10 33 12 5 Highly Relevant to me today Not highly relevant today, but I feel it will gain substantial relevance for me within the next 3 years It might be relevant, but I need to learn more about the technology It is not relevant to me today and will not be in the next 3 years Source:McKinsey2015 3D printing: familiarity
- 39. 3D printing: concept models Compressing the Design Cycle at Ducati 28 8months
- 40. 3D printing: functional prototypes Rolls-Royce to Fly Largest 3D Printed Part Ever Flown engine 1.5M diameter thick .5Mx
- 41. Ge 3d prints fuel nozzles for leap jet engines lighter 25%18 1Separate parts & 3D printing: production parts
- 42. 3d printing: Repair of parts
- 43. 3d printing complex vessels Compact heatexchanger 3d printing spare parts Workflowsfor modellingspare parts &
- 44. Made in wa since 2014 3d printing: Not just for big co. &
- 45. 10Weeks 10days 3d printing: parts on demand
- 46. Barriers to adoption: Costs of Equipment Consolidation & Emergent
- 47. & Barriers to adoption: Costs of material
- 48. 3d printing: OBVIOUS OPPORTUNITIES “efforts to reduce inventory costs are resulting in longer lead times and a lowerlevel of service”
- 49. 5% 85% 15% 55% 100% 45% 10% 1% 10% 45% 3d printing not onagenda SPARE PARTS BUSINESS series production pilot stage prototyping phase now in 5 years 3d printing: fit in the product life cycle Source:pwc2017
- 50. “withinfive years we should see 3D printing gaining 10 percent of the market for spare parts.” Claus Emmelmann Pioneer of 3D Printing
- 51. in the future companies will sell intellectual property rather than actual parts. 3d printing: business model disruption
- 52. “IT Platforms will transform the spare parts business, just as it has the music industry”. Source:pwc2017 3d printing: Order fulfillment
- 53. 3d printing: partnering willbe critical Source:pwc2017 Analyse your spare parts portfolio Perform a 3d printing feasibility study Challenge existing designs Develop The business case Define your 3d printing strategy Pilot & roll out your 3d printing strategy 1 2 3 4 5 6
- 54. Powder bed EOS Laser melting upto400 x400 x 400 mm Concept laser Laser melting upto800 x400 x 500 mm arcam E-beam melting upto200 x200 x 380 mm Powder fed trumpf Laser Metal Deposition upto7000 x 2000 x 750 mm optomec Laser Metal Deposition upto900 x1500 x900 mm Wirefed sciaky EBAM upto5790 x 1200 x 1220 mm 3D printing: the options
- 55. “I think there is a world market for maybe five computers.” Thomas Watson Chairman of IBM
- 56. Ocean engineering plant of thefuture Enterprise analytics Reliable production offloading Safer riser& moorings anchoring& & foundations Loads – extremewaves Lifecycle monitoring Flow assurance Process intensification Adaptivecontrols Non-intrusive inspection Intelligentlayout Spareson demand High performance computingfor geoscience Sensorfog and wifi Woodside: futurelab
- 57. Collaboration: the problem with research Frontdoor There is no &a lack ofinterest Research wants to Keep the ip Sign a contract It takes toolongto
- 58. Collaboration: 4 key enablers
- 59. Collaboration: engaging with research
- 61. Innovation connections: summary Western Australia – Last 4 years
- 62. Collaboration: engaging with research
- 63. Modelling& simulation Analyticsand AI Internetof things Collaboration: case studies
- 64. Autonomoussystems materials 3d-printing Collaboration: case studies
- 65. processing geology Tech Collaboration: case studies
- 66. & Modellinga mine safety barrier
- 67. Heat stress & Light weighting &
- 68. & lithiumextraction from micas
- 69. KEN GREEN 0467 769267 ken@businessfoundations.com.au © ken green2017