## MMI Innovation operations | Icon | Topic | Speaker | Role in Ecosystem | | ---- | ----------------------- | --------------------- | ------------------- | | 🚗 | AV Safety Assessment | Henry Liu | Academia (UMich) | | ⚙️ | ML in Land Use & Travel | Jason Cao | Academia (UMN) | | 💼 | Vision Day: AV Future | Raquel, Henry, Xiaodi | Startup + Academia | --- | 🛡️ | Vehicle Performance & Safety | Bhuvan & John | Academia (MIT) | | --- | -------------------------------- | -------------- | ------------------ | | 🛣️ | Transportation Leadership Reform | Stephen & Beth | Government (USDOT) | | 🔋 | Sustainable Batteries | Mircea | Academia (MIT) | | 🛩️ | Scaling Airplane Innovation | Tom | Startup (JetZero) | --- ##### Five innovative operations ![[Pasted image 20241122131504.png|800]] Fine, C., Padurean, L., & Naumov, S. (2022). Operations for entrepreneurs: Can Operations Management make a difference in entrepreneurial theory and practice? https://nailitscaleitsailit.com/ --- | Strategy | 🔑 | | ------------------- | ------------------------------------------------------------------------------------------------ | | Collaborate | Leverage partnerships across academia, industry, policy for resources and capabilities | | Segment | Target specific market gaps and match with appropriate testing approaches | | Processify-Automate | Standardize and document procedures before scaling, Process optimization must precede automation | | Evaluate | Transition metrics from technical (MPI) to business (CPM) indicators | --- ##### Collaborate 1. Academic-Industry Links: Lab → Market (🔋Mircea), Research → Product (🛩️Tom) 2. Policy-Industry Bridge: Standards alignment (🛣️Beth), Ecosystem building ( 💼Vision Day) ![[Pasted image 20241122131817.png|400]] 🔑 Leverage partnerships across academia, industry, policy for resources and capabilities --- ##### Segment 1. Market-Product Fit: Unmet Market Gap (🛩️Tom: single-twin aisle), Technology Innovation (🔋Mircea: organic batteries) 2. Testing Strategy: Chemical Discovery (🔋Mircea: parallel lab tests), Design Integration (✈️Tom: system-level validation) ![[Pasted image 20241122133216.png|600]] 🔑 Match market gaps with appropriate testing approaches for maximum impact --- ##### Processify-Automate 1. Manufacturing Strategy: Challenge → Delete → Accelerate $\rightarrow$ automate (🛩️Tom) 2. Validation Methods: Standard development (🚗Henry), Component testing (🔋Mircea) 🔑 Standardize and document procedures before scaling, Process optimization must precede automation --- ##### Evaluate 1. Metric Evolution: Technical (mile per intervention, lab results), Business (cost per mile, market outcomes) 2. Impact Assessment: System efficiency (🛩️Tom), Safety outcomes (🛡️Bhuvan) ![[Pasted image 20241122134440.png|400]] 🔑 Transition from technical to business metrics signals market maturity --- takeaway from other classmates of discussion class | Group | Speaker | Main Topic | Key Points & Comments | | --------------------------------- | --------- | -------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Future of Transportation & Safety | Seamus | Safety Standards for New Technologies | - Use technological transitions as opportunity to raise safety standards<br>- Need balanced approach: push beyond current standards but keep feasible<br>- Aviation-style "zero deaths" standard as aspiration | | | Xinling | Safety System Design | - Coordinate vehicle component design (acceleration vs braking)<br>- Consider both autonomous and human driver safety<br>- Network design to minimize challenging scenarios (e.g., unprotected left turns) | | | Tanay | Vehicle Safety Analysis | - Analyzed fatality increase from 2015<br>- Investigated SUV/pickup market share impact<br>- Examined AV crash statistics and SAE classification | | Nonlinearity Research | Donghang | Non-linear Effects in Travel Behavior | - Population density effects on car ownership vary by stage<br>- Commute time impact on remote work preferences shows threshold effects<br>- Importance of causal inference in machine learning | | Systematic Planning | Ziyan | Hydrogen Transportation | - Clean hydrogen production costs and distribution<br>- Infrastructure planning for delivery methods<br>- Connection to data center energy needs | | | Angie | Innovation Ecosystem | - Mapped forum sessions to innovation roles<br>- Identified key operational aspects<br>- Transition from technical to business metrics | | | Ocean | Built Environment Impact | - Cities as integration of infrastructure and social networks<br>- Built environment as technology for social scaling<br>- Infrastructure design crucial for optimization | | | Magdalena | Transport Topics Analysis | - Safety dominated forum discussions (9 lectures)<br>- AI/AV topics prominent in forum but less in agencies<br>- Comparison with different agencies' priorities | | | ChenAn | Vision-First Transportation Innovation | - Start with city vision before technology<br>- Focus on desired urban experience (human-centered vs car-centric)<br>- Problem-oriented innovation for equity, connectivity, sustainability<br>- Importance of vision communication and public trust |