View
5
Download
0
Category
Preview:
Citation preview
Brian SandersProduct MarketingJune 26, 2019
End-to-End Engineering Lifecycle: Decoding the Magic and the Myth
Engineering today’s smart, connected products requires sophisticated approaches to managing complexity.
IBM Watson IoT / © 2018 IBM Corporation
IBM Watson IoT / © 2018 IBM Corporation
Requirements
Regulations
Reporting
Collaboration
Quality
Time to
Market
Costs
Products
Interfaces
Integration
Templates
Scalability
Digitization
Optimization
Innovation
Partnerships
Businesses face enormous pressure to meet the pace of
innovation in the era of the Internet of Things
• Essentially a process based on MS-Office documents & spreadsheets (or alike)
• What features/functions in spreadsheet/word processors are designed for managing complex product development
• Fragile and does not scale for complex products
• Pushing problems to later stages
• Very difficult to maintain consistency and traceability
• Miscommunication
• Challenge meeting compliance and regulatory requirements, internal and external audits, cost reviews
• Complexity of systems-of-systems, suppliers, partners Subsystem
Design
Implementation
Spreadsheets & Document work great for complex development
By 2022 25.6% of labor force will be 55-years-and-older(Bureau of Labor Statistics)
It's expected that by 2020, 31 million jobs will become available as Boomers retire, and another 24 million new jobs will be created. However, the population of younger workers with education and skills to replace Boomers isn't large enough or growing fast enough to make up for these departures, according to a Georgetown University report, which predicts a shortfall of 5 million qualified workers.https://www.shrm.org/resourcesandtools/hr-topics/behavioral-competencies/global-and-cultural-effectiveness/pages/4-ways-for-hr-to-overcome-aging-workforce-issues.aspx
Hire more systems engineers
• Institutional knowledge walks out the door every day
Aviation Week Survey 2017 tallied across Boeing, BAE Systems, Lockheed, Northrop that 18.5% workforce is eligible for retirement
Boeing offered early retirement to 9K senior employees and subsequent orders for 737’s threw production line into chaos given all the inexperienced employees they shut down production line costing $1.6B
• Experience trumps school every time
A petrochemical explosion occurred at a large plant on the Texas Gulf Coast, an investigation found that the engineers there at the time had all been on the job less than one year
Silver Tsunami
Requirement 1
Requirement 1.1
Requirement 1.2
Engineering Model
RequirementsModeling /
System Design TestCollaboration /
Workflow
Model
Plan Task
Source
code
Test
case
GAPGAPGAP
Individual engineering management products are best choice
➢ Develop and maintain interfaces long-term
➢ Handle all data incompatibilities, migrations, conversions
➢ Maintain single-source of truth, data integrity, audit/compliance trails
Integrated solution means lock-in
Systems Design
Requirements Management
Test Management
Workflow Management
Lifecycle Links
IBM Watson IoT / © 2018 IBM Corporation 9
9 of the 10 largest automotive companies
13 of the 15 largest Tier 1
automotive suppliers
9 of the 10 largest pharmaceutical
companies
8 of the 10 semi-conductor
companies
10 of the 10 major aerospace and defense
companies
54Government agencies
in 54 countries
13 of the 15 top electronics OEMs
9 of the 10 medical device manufacturers
Integrated engineering solutions are hard to learn/adopt
The connectedness of everything and AI is transforming how businesses and the world work.
11
Accelerating innovation without compromising quality and safety requires a new level of sophistication.
What if your engineering teams could?
➢ Innovate with speed and quality while delivering mission/safety critical systems
➢ Meet regulatory, compliance, reporting & audit requirements (eg DO-178B, ASPICE)
➢ Drive constant improvement while dealing with increasing complexity across multi-tier value chains
Watson / Presentation Title / Date14
Engineering Lifecycle Management Solution
Advanced analytics and AI
Modeling and simulation
Seamless collaboration & open services/interfaces
Automation of compliance
Adoption of industry best practices & agile methods
Better understand customer requirements to improve product quality
Watson Natural Language Service and pre-trained AI, for writing complete, clear and testable requirements
Single source of truth for optimal collaboration across teams and teams-of-teams
Manage change across product lifecycle for faster impact assessment/better quality
Capture and manage traceability to tests and other engineering artifacts, including software to manage compliance
Best practices ensuring consistent terminology, customizable dashboards, quickly assess the impact of changes, drag-and-drop traceability
A single platform for managing requirements so your teams can work more effectively across disciplines, time zones and supply chains
Solution: Requirements Management powered by AI
Engineering Lifecycle
Managementwith AI
Visualize, analyze, and gain insight from engineering lifecycle data
Cross-discipline teams collaborate, share, review and manage designs and models using central repository
Prototype, simulate and execute complex systems for early validation of requirements, architecture, behavior
Creation of comprehensive documentation for specifications, communication, reporting and compliance
Automatically create system specifications, interface design documents and systems test cases
A structured and auditable approach to identifying requirements, managing interfaces and controlling risks throughout the project lifecycle.”
Solution: Model Based Systems Engineering
Manage the engineering complexity of systems of systems
Engineering Lifecycle
Managementwith AI
Maintain quality while constantly delivering innovation
Risk-based testing prioritizing features / functions based on importance and likelihood or impact of failure
Collaboration through event feeds, integrated chat, review, and approval / automated traceability
Asses and monitor potential risks – enabling risk management to make predictions in line with requirements
Clearly portray project quality objectives and exit criteria, track responsibilities and prioritize items for verification and validation
Automate labor-intensive test planning, construction and execution tasks
Solution:
Build Quality in
Collaborative solution that offers comprehensive test planning and test asset management from requirements to defects, enabling teams to seamlessly share information using automation to speed project schedules and report on metrics
Engineering Lifecycle
Managementwith AI
Orchestrate your teams workflow and communication to accelerate
development while ensuring quality and reporting consistency
EnablementBuilt-in work items and change-set traceability reduces
complexity of analysing what went into releases
Customizable portal views supporting multiple projects for seamless team collaboration
Model exact workspace of any build, developers can test their code against latest baseline
Engage suppliers as part of the development process to deliver higher quality, regulatory/compliance standards, and safety regulations
Automatically create and track progress of individual work items according to team’s agile, SAFe or custom process
A single platform for managing processes, tasks, and people so your teams can work more effectively across disciplines, time zones and supply chains
Solution: Manage workflow and collaboration across development teams
Engineering Lifecycle
Managementwith AI
IBM Engineering Lifecycle Management (ELM)End to end engineering lifecycle management solution
Enabling a holistic end-to-end engineering development
process insuring teams are communicating & linked on
developing the best product they can while –
• Meeting regulatory standards
• Managing suppliers
• Achieving time-to-market
• Delivering on budget
• Passing audits
• Support compliance requirements
• Mitigate skill shortages
Why automotive OEM and suppliers adopt IBM ELM
‒ Establish an effective systems engineering practice to manage rapidly increasing complexity of car functions
‒ Accelerate introduction of new features and changes in a highly Competitive market
‒ Realize an end to end “digital twin” in the connected car era
‒ Accelerate compliance with key industry standard ASPICE and ISO26262 which strongly endorse MBSE as a core practice
As a result, more and more Automotive OEMs and suppliers adopt IBM ELM to mainstream the practice!
20
IBM Watson IoT / © 2018 IBM Corporation 20
Why medical device manufacturers adopt IBM ELM
‒ Enable highly effective engineering providing early verification and validation of system specification and design choices
‒ Comply with functional safety to the standards like ISO 15288, IEC 62366 and/or ISO 14971 that require safety analysis performed on systems design and detailed documentation of the system design
‒ Managing complexity, amplified by regulations, integrations, and advances in technology, without compomising quality and time
‒ Address FDA’s finding that lack of design controls as one of the major causes of device recalls
IBM Watson IoT / © 2018 IBM Corporation 21
IBM Watson IoT / © 2018 IBM Corporation 22
Why railway companies adopt IBM ELM
‒ Compliance to regulations like EN5012x are becoming increasingly crucial in the Railway landmark. Model based approach significantly reduces the manual effort of compliance
‒ Early verification and validation, needed for CENELEC safety requirements, can be met by the left shiftcharacteristic of MBSE via simulation and testing ofthe system model.
‒ Traceability, assessing the impact of a design decision or change effectively throughinterconnected systems and subsystems, especiallyimportant for long term projectslike railway.
End to end engineering lifecycle management
IBM Enterprise Lifecycle Management
IBM Watson IoT / © 2019 IBM Corporation23
– Better requirements management to improve product quality and reduce ambiguity
– Meet regulatory, compliance, process, reporting & audit requirements
– Manage the engineering complexity of systems of systems and variants
– Drive constant process improvement while dealing with increasing complexity across multi-tier value chains
– Enable agile systems engineering practices
– Use operational data and customer insight to improve engineering decisions
Want to learn more?
Engineering Home Page:
https://www.ibm.com/internet-of-things/solutions/systems-
engineering?lnk=hpmpr_iot&lnk2=learn
MIT Technology Review: How IoT and AI
can transform engineering teams
https://www.ibm.com/account/reg/us-en/signup?formid=urx-37983
Agile Development Guide:
https://www.ibm.com/account/reg/us-en/signup?formid=urx-34954
Moving to knowledge-driven requirements
management:
https://www.ibm.com/downloads/cas/MDNWPEYQ
AI for Requirements Management:
https://www.youtube.com/watch?v=pXaKgAn7PJo&t=13s
Recommended