Bezig met laden...

Challenge #6 : Container Pick-up Planning | TransportLAB Hackathon 2016

home "»" Communities "»" TransportLAB Hackathon 2016 "»" forum "»" Hackathon Challenges "»" Challenge #6 : Container Pick-up Planning
TransportLAB Hackathon 2016

Verlaat Community:

Weet je zeker dat je je lidmaatschap wilt verwijderen van

Word lid van deze Community:

Lid worden van deze community?

Toevoegen nieuw tabblad

Voeg een hyperlink toe aan de communitynavigatie. U kunt linken naar interne of externe webpagina's. Voer de naam van het tabblad en de tab-URL in. Upload of kies een pictogram. Klik vervolgens op Opslaan.

De naam die in de navigatie van de Community verschijnt.
De url kan verwijzen naar een interne of externe webpagina.
Login als je wilt volgen, delen of deelnemen in deze Community.
Nog geen lid?Registreer NU
Geplaatst in: Hackathon Challenges

Challenge #6 : Container Pick-up Planning

Abonneren op RSS
  • pswaak

    Challenge #6 : Container Pick-up Planning


    Introduction:

    Nowadays most containers are planned for pick-up after ship departure. What if containers could be pick up at "estimated time of discharge"? Would this give the planner more time to go for multi-modal driven transports and thereby save money and reduce CO2 footprint?

    We would like to know the effect of a filled planned discharge time ‘geplande tijdstip lossing container’. Currently most ‘planned pickup time’ are past the departure time of the ship ‘Vertrektijd schip haven’. It seems not to be necessary to wait until the ship has left the port to pick up the container. Transporters could use the planned discharge time ‘geplande Tijdstip lossing container’ to plan more efficient the transport.

    Challenge:

    1. What will be the effect overall of half an hour shortage in ‘planned pickup time’. Take into account the following remarks:
    2. What is the relation between discharge time ‘Losdatum–Tijd container’ and ‘planned pick-up time’.
      • Use multi-modality as cost and time efficient as possible;
      • Rush hour;
      • Last 15 km are always by truck. Barge leaves when 20 containers are loaded;
      • Needed time on 1000 km truck/barge/rail 12 h/48 h/10 h after departure (example data);
      • Cost on 1000 km truck/barge/rail 100/50/60 euro (example data);
      • Use the time schedule on trains (additional file or internet);
      • Use random delivery locations within Western Europe/Netherlands.
    3. What is the turning point on multi-modality? And how much time do we need to save in planned discharge time (geplande Tijdstip lossing container) to achieve our goal to get more containers on train or barge?

    Data: 

    Search for available data in the overall Data Sheet. This data can be combined with any other source of data you see fit, like intermodal connections and schedules, carbon footprint, etc.. Have a special request? Just fill in the Data Request form.

    Background:

    Portbase has supplied some related (anonymized) data sets for this challenge. Explanations of abbreviations:

    • ATA means Actual Time Arrival
    • ETA means Estimated Time of Arrival
    • The column ‘Douane TrigaTe’ means ‘Customs release time’. If this is not filled, the container has not been blocked.

    For more explanation on data sets and fields etc. see the WIKI

Pagina 1 van 1 (1 items)