IoL - Intelligence of Logistics
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"IoL - Intelligence of Logistics, the Art of Intelligent routes", Presented at the ITS conference on the 23rd of January 2018 (https://www.its-hellas.gr/gr/events/171-3-its-hellas-23-24-2018)
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Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
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- 1. Under the Auspices of: “IntelligentTransportSystemsinGreece:Latestdevelopments” 3rd Conference 2018 IoL Intelligence of Logistics TheArt of Intelligent Routes 23-24/1/2018 3rd Conference 2018, Hellenic Ministry of Infrastructure & Transport, Athens 1 Panagiotis Zikos Dipl-Eng NTUA, MSc CMU, MBA Mensa/WIN member Co-Founder / R&D Director
- 2. Intelligence of Logistics Logistics ecosystem1 Intelligent Routes2 RaaS – Routing as a Service3
- 3. Revenue 10% GDP 3% GDP (land transportation) A strong ecosystem StartUps, Ten-T 4,7% of total workforce Logistics
- 4. ITS in Logistics ITS Intelligent Routes Goods/Services delivery Logistics process WH P&P
- 5. Route A series of actions so as to satisfy the needs of successive nodes Intelligence: Resources optimization, service integrity, cargo & driver safety
- 6. The Art of Intelligent Routes Customer Need Resources (Vehicles) Special Requirements • Demand • Time window • Service time • Location • Capacity • Working hours • Break • Start – End point • Depos • Pick up & delivery • Restricted location • Tolls avoidance • Frequency Scheduled Deliveries Optimized Routes
- 7. Key Concepts of Route Optimization NPC Output CPU Route Optimization VRP – mTSP Nondeterministic Polynomial Genetic algorithms Optimization of a resource • Travelling distance • Travelling time • # Vehicles • Emissions • Time in vehicle
- 8. Routes Optimization barriers 1 2 Cultural modifications Demands Infrastructure Part of a Telematics solution 3
- 9. RaaS – Routing as a Service RaaS Services • POIs handling • Scheduling • Routes Optimization • Driver dispatching • Real time monitoring • PoD (Proof of Delivery) • Pay as you Use RaaS
- 10. RaaS model POIs • Geolocating • Handling • Picking Route Optimization • Scheduling • Customer data • Vehicle data Driver dispatching • Mobile app • Route me • PoD Monitoring • GPS • Telematics • Feedback Reporting • BI • Customized • ERP integrated Pay as you Use
- 11. RaaS in action • POIs (handling & selection) • Demand (What & When to deliver) • Vehicles (Capacity, number & depos) • Special (Tolls, restricted location etc) • Optimized Routes • Minimum resources (vehicles / travelling time) • 100% Service delivery • Customer exceptional experience
- 12. RAAS ADVANTAGES
- 13. Emissions Productivity Resources optimization Customer experience Added Value Automation without infrastructure Intelligence has advantages
- 14. Accurate geolocation of POIs Progressive loading Last minute modifications Picking & packing is crucial RaaS Challenges
- 15. Storage is everything Best effort approach Maturity takes time WMS P&P VRP complexity Warehouse management Picking & Packing Customization 1 2 3 RaaS - Issues to consider
- 16. SWOT Analysis S W TO • Resources optimization • Automation • Added Value • Pay as you Use Strengths • VRP complexity • WMS • Picking & Packing • Integration Weaknesses • Logistics ecosystem • Startups • RaaS maturity Opportunities • “I” am intelligent enough… Threats RaaS SWOT Analysis
- 17. IoL for many
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