E-Commerce & Trip planning
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1 E-Commerce & Trip planning PTV Planung Transport Verkehr AG Stumpfstr. 1 D Karlsruhe Tel Fax Internet: Dr.-Ing. Dieter Wild Dipl. Wi.Ing. Oliver Kunze April 2001
2 Agenda M Single tasks: B2C M Planning variants M Solution concept M System architecture M Outlook Folie 2
3 Single tasks: ecommerce B2C Invoicing www shop Order management Delivery ecommerce Product availability check Touren- Trip planung planning Consoli- dation / Picking Stockmanage- ment Folie 3
4 Agenda M Single tasks: B2C M Planning variants M Solution concept M System architecture M Outlook Folie 4
5 Planning variants Case 1 - Without trip planning M Delivery via post-box possible M Small units for dispatch M Personal reception not necessary M Delivery via: M Post, UPS,... M Example: M amazon.de Case 2 - Trip planning necessary M Delivery via post-box not possible M Larger units for dispatch M Refrigerated food M Valuable goods M... M Delivery via: M Own transport fleet M Forwarding agent M Examples: M Karstadt, IKEA, food industry,... Folie 5
6 Planning variants Case 2a Trip planning with announcement M Client follows the date of delivery M Trip planning on the basis of available orders (optimisation) M Announcement of time of delivery to client, after completion of the trip planning Case 2b On-line trip planning M Client wants to select date and time of delivery M Frame trip-plan ex ante M Delivery slot offers on the basis of the frame trip-plan M Inserting trips in the frame trip-plan Case 2c Ex post trip planning M Client wants to specify freely the delivery slot M Trip planning on the basis of all available orders (optimisation) Increasing level of service Folie 6
7 Level of service, costs & planning complexity Transport costs 2c 2c Client Client wants wants to to specify specify freely freely the the delivery delivery slot slot 2a 2a Client Client follows follows the the date date of of delivery delivery 2b 2b Client Client wants wants to to select select date date and and time time of of delivery delivery Level of service Folie 7
8 Level of service, costs & planning complexity Transport costs Planning complexity 2a 2a Client Client follows follows the the date date of of delivery delivery / 2b 2b Client Client wants wants to to select select date date and and time time of of delivery delivery 2c 2c Client Client wants wants to to specify specify freely freely the the delivery delivery slot slot 2c 2c Client Client wants wants to to specify specify freely freely the the delivery delivery slot slot Level of service Folie 8
9 Level of service, costs & planning complexity Transport costs Planning complexity 2c 2c Client Client wants wants to to specify specify freely freely the the delivery delivery slot slot 2b Large set of orders 2b / Client Client wants wants to covering a to select select date date and wide area and time time of of delivery delivery 2c 2a 2c 2a Client Client Client follows follows the Client wants wants to to specify specify the freely date date of of delivery freely the the delivery delivery slot slot delivery Level of service Folie 9
10 Example 1: 302 clients with 1-2 h delivery time window 47 trips 4832 km Folie 10
11 Example 2: 302 clients with 2-3 h delivery time window 34 trips 3846 km Folie 11
12 Example 3: all clients with open delivery time window 20 trips 2840 km Folie 12
13 Example 4: all clients with delivery time window 10:00-10: trips km Folie 13
14 Example 5: all clients with delivery time window 09:55-10: trips 9605 km Folie 14
15 Agenda M Single tasks: B2C M Planning variants M Solution concept M System architecture M Outlook Folie 15
16 Integration of trip planning Invoicing www shop Order management Delivery Product availability check Trip- planning Consoli- dation / Picking Stock manage- ment Folie 16
17 Task: Trip planning 0. Calculation of frame trip-plan 1. Request via Internet M (Article choice / basket of wares) M (Payment handling) M Delivery location M Wished time and date of delivery 2. Order confirmation M Time and date of delivery www shop Trip planning t Folie 17
18 Task: Trip planning 0. Calculation of frame trip-plan 1. Request via Internet M Delivery location M Wished date and time of delivery www shop Order manage- ment 2. Order confirmation M Time and date of delivery 3. Transport order Delivery Consolidation / picking confirmation 5. Delivery papers M Vehicle loading up M Trip plan t Trip planning 4. Consoli- dation / Picking Folie 18
19 Task: Trip planning 0. Calculation of frame trip-plan 1. Request via Internet M Delivery location M Wished date and time of delivery www shop Auftrags- verwaltung 2. Order confirmation M Time and date of delivery 3. Transport order Aus- lieferung Consolidation / picking confirmation 5. Delivery papers M Vehicle loading up M Trip-plan t Touren- planung 4. Kommis- sionierung Folie 19
20 Task: Trip planning 0. Calculation of frame trip-plan 1. Request via Internet M Delivery location M Wished date and time of delivery 2. Order confirmation M Time and date of delivery 3. Transport order Pre-planning Planning server (Reservation of time slots in frame trip-plan) 4. Consolidation / picking confirmation 5. Delivery papers M Vehicle loading up M Trip-plan Post-optimisation (Finalisation of trip-plan) t Folie 20
21 Task: Trip planning Planning system (tool): INTERTOUR ptv-edeliveryserver INTERTOUR Planning task: Tactical preplanning of delivery areas on the basis of forecasted values On-line delivery answers and optimal integration of new orders in existing trip structures Delivery planning using detailed geografical synergies and taking into account the agreed time window Folie 21 t
22 Pre-planning M Generation of virtual stops on the basis of sociodemografic data M The result is an input for the frame trip planning Folie 22
23 Pre-planning M Generation of frame trip driving plans using INTERTOUR/Standard on the basis of the virtual stops M The result is an input for the reservation algorithm on the planning server Folie 23
24 Planning server Planning of frame trips 10:25-11:00 09:45-10:15 11:15-11:45 09:00-09:30 09:00-09:30 Answering of requests 11:30-11:55 09:00-09:30 09:45-10:30 10:30-11:20 10:45-11:15 09:45-10:20 M Matching of on-line-requests with frame trip-plans M Principle: When does a delivery vehicle comes close to the client s location M Confirmation of delivery time +/- x minutes 09:00-09:30 09:45-10:30 10:25-11:00 09:45-10:15 11:15-11:45 09:00-09:30 11:30-11:55 09:00-09:30 10:30-11:20 10:45-11:15 09:45-10:20 Legend: 13:00-13:40 Time slots from pre-planning Booking Trip area Depot Trip Folie 24
25 Final optimisation Final set of orders 10:25-11:00 09:45-10:15 11:15-11:45 09:00-09:30 09:00-09:30 11:30-11:55 09:00-09:30 09:45-10:30 10:30-11:20 10:45-11:15 09:45-10:20 M Objective: Using the full potential for trip optimisation taking into account the determined delivery slots Final optimisation 09:00-09:30 09:45-10:30 10:25-11:00 09:45-10:15 11:15-11:45 09:00-09:30 11:30-11:55 09:00-09:30 10:30-11:20 10:45-11:15 09:45-10:20 Legend: 13:00-13:40 Time-slot s from pre-planning Booking Trip area Depot Trip Folie 25
26 Online-Planning Folie 26
27 Final Optimisation Folie 27
28 Solution concept: Summary M Planning principles M Frame planning M M Pre-planned trips Booking on trip structure vs. M Free optimisation M M Collection of orders Determination of trips just in the end M System availability M Standard trip planning (cases 2a and 2c) M Multiscale ecommerce planning (case 2b) Folie 28
29 Agenda M Single tasks: B2C M Planning variants M Solution concept M System architecture M Outlook Folie 29
30 System architecture Invoicing www shop Delivery Product availability check Trip- planning Order mana- gement Consoli- dation / Picking Stock manage- ment Folie 30
31 Data flow Presentation Layer - Web browser Pre-planning Geocoding Execution system for example SAP R/3 with CRM Planning server Post-optimisation Folie 31
32 Agenda M Single tasks: B2C M Planning variants M Solution concept M System architecture M Outlook Folie 32
33 Outlook M The situation today: M Delivery of the post (operative) M Trip planning with announcement (operative at professional transport companies since years) M On-line trip planning (now available, crucial to limit the very high transport costs for small and a medium amounts of orders) M Ex-post trip planning (available since years, only recommended for high amounts of orders) Folie 33
34 Outlook M View into the future: M www-presentation is not a problem, but: Take care of the physical transports M The cost-effectiveness of the transports triggered by ecommerce is (on short and middle perspective) an area of conflict in relation to the level of service M It is needed to observe alternative concepts and their acceptance (e.g. the delivery to refrigerated boxes at gasoline stations) Folie 34
35 Offering integrated planning solutions for transport and traffic
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