1 / 27

Cooperation in Urban Transportation

Cooperation in Urban Transportation. Tom Van Woensel. Menu for today. Urban environments Horizontal collaboration between LSPs Analysis and discussion Planning and scheduling of their operations: Vehicle Routing Problems Gain sharing mechanisms

mantreh-laleh
Download Presentation

Cooperation in Urban Transportation

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Cooperation in Urban Transportation Tom Van Woensel

  2. Menu for today • Urban environments • Horizontal collaboration between LSPs • Analysis and discussion • Planning and scheduling of their operations: Vehicle Routing Problems • Gain sharing mechanisms • Collaboration between public and freight transport Caveat emptor: ongoing work ! / School of Industrial Engineering - prof. dr. Tom Van Woensel

  3. Urban Environments and Transportation • Transportation demand is growing and expected to continue growing • Last-mile logistics is more and more situated in growing urban areas: • Increasing urban population growth • (Over)congested • Difference with emerging cities • Both internal costs and the external costs are key logistics drivers • Decarbonisation to reduce pollution / School of Industrial Engineering - prof. dr. Tom Van Woensel

  4. Urban Environments and Transportation • Quality (e.g. carbon footprint) and quantity (e.g. transport movements) of the distribution activities • Better orchestration of the different physical flows by considering all relevant stakeholders • Retailers • LSPs • Government • Public • Coordination and consolidation challenges are not new, but sound and sustainable solutions are not easily realized. / School of Industrial Engineering - prof. dr. Tom Van Woensel

  5. (The lack of) Cooperation and coordination in urban transportation / School of Industrial Engineering - prof. dr. Tom Van Woensel

  6. Routing and Scheduling in urban areas / School of Industrial Engineering - prof. dr. Tom Van Woensel

  7. Two-index formulation for VRP v0 / School of Industrial Engineering - prof. dr. Tom Van Woensel

  8. VRP and Time windows cost trav. from i to j =1 if vehicle k drives directly from i to j ASSIGNMENT demand at customer i CAPACITY capacity of vehicle k time to travel directly from i to j plus service time in i FLOW depot at start CONSER- depot at end The time vehicle k starts Servicing customer j VATION large number TIME WINDOWS / School of Industrial Engineering - prof. dr. Tom Van Woensel

  9. Three Dutch carriers Transport management system • Parameters • > 3plts • north NL • HACCP • Non smelling • …. • Parameters • unrestricted • LZV only • TLN member • Digital VVA • …. • Parameters • FTL only • Digital VVA • chilled • …. dashboard LSP 1 dashboard LSP 2 dashboard LSP 3 / School of Industrial Engineering - prof. dr. Tom Van Woensel

  10. Three carriers consolidated Gain sharing mechanisms needed / School of Industrial Engineering - prof. dr. Tom Van Woensel

  11. Collaboration among Logistics Service Providers / School of Industrial Engineering - prof. dr. Tom Van Woensel

  12. Some variants to the problem Cooperation: Distance = 828.94 with 10 vehicles C/R = Country/Regional player / School of Industrial Engineering - prof. dr. Tom Van Woensel

  13. What about the cost savings? • Cost savings are not always equal over all partners • Limited savings if no synergy in the networks / School of Industrial Engineering - prof. dr. Tom Van Woensel

  14. How to share the benefits? • Shapley value for player i: • Allocates to each participant its average marginal contribution • Complete random order of entering of participants • For two players: • Equal allocation of the total value of cooperation • Regardless of the specific characteristics (e.g. size, orders, etc.) of the two players / School of Industrial Engineering - prof. dr. Tom Van Woensel

  15. Side Payments are needed A transparent and clear cost accounting system is needed / School of Industrial Engineering - prof. dr. Tom Van Woensel

  16. What about shippers? How certain are we about this? • Tariffs adapted following LSP collaborations • Proposal: follow Shapley allocation • Two players: Shipper and LSP • 50/50 allocation rule / School of Industrial Engineering - prof. dr. Tom Van Woensel

  17. What about time and stochasticity? • Volumes offered to the coalition • Changes over time, contracts, tenders, etc. • How to cope with this if one partner falls behind? • Consequences are significant / School of Industrial Engineering - prof. dr. Tom Van Woensel

  18. What do we need? • Sound concepts for gain sharing: • That survive over time and uncertainty • That are fast measurable/quantifiable throughout the collaborations • That consider the dynamics and stochastics of the LSP and shipper’s world • A gain sharing control tower? • Neutral instance • Open bookkeeping with regards to costs / School of Industrial Engineering - prof. dr. Tom Van Woensel

  19. A different cooperation • Combine passenger transport and freight transport • Different levels: • Share dedicated resources, e.g. priority lanes • Share equipment: taxi, bus, train, boat • Some examples: • Passenger airplanes also carry freight • Norwegian Hurtigruten: mail, cargo and passengers • Dabbawalla / School of Industrial Engineering - prof. dr. Tom Van Woensel

  20. Dabbawalla 0% fuel, 0% investment, 0% modern tech, 0% Disputes, 99.99% performance, 100 % Customers Satisfaction 400,000 transactions every day (including return), i.e. 400,000*25 days*12 months= 120,000,000 transactions per year / School of Industrial Engineering - prof. dr. Tom Van Woensel

  21. Point of Aggregation And Sorting A E B D C Collection from home The Flow Logic: using trains! Zones for destination Grant Road (12) 1 2 3 Churchgate (1-10) 4 5 6 Lower Parel (14) 7 Distribution By Carriers at lunchtime To offices / School of Industrial Engineering - prof. dr. Tom Van Woensel

  22. Using taxi’s for parcel deliveries / School of Industrial Engineering - prof. dr. Tom Van Woensel

  23. Trail of one taxi in San Francisco (1 day) / School of Industrial Engineering - prof. dr. Tom Van Woensel

  24. Trail of 30 taxis in San Francisco (1 day) / School of Industrial Engineering - prof. dr. Tom Van Woensel

  25. Taxis for parcel delivery • Online optimization • Stochastic customers • Stochastic demand • Pickup and delivery problems • Using taxis for parcels: • Utilized (with customer): time value? • Available (no customer): use the ‘dead’ time • Joint work started with Connexxion for The Netherlands • PhD research of Baoxiang Li / School of Industrial Engineering - prof. dr. Tom Van Woensel

  26. Overview and summary • Collaboration among LSP • Gain sharing principles • How to translate this into practice? • The role of shippers in the collaborations • Collaboration between public and freight transport • Interesting research questions arise • Still an open research field / School of Industrial Engineering - prof. dr. Tom Van Woensel

  27. Thank you.Any questions/suggestions/comments? / School of Industrial Engineering - prof. dr. Tom Van Woensel

More Related