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Dr.-Ing. Dieter Wild

Dipl. Wi.Ing. Oliver Kunze April 2001 PTV Planung Transport Verkehr AG Stumpfstr. 1 D-76131 Karlsruhe Tel. +49 721 96 51-0 Fax +49 721 96 51-699 Internet: www.ptv.de

Trip planning

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Fol ie 2

Agenda

M Single tasks: B2C M Planning variants M Solution concept M System architecture M Outlook

(3)

Fol ie 3

Single tasks: eCommerce B2C

www www shop shop Stock- manage-ment ment Order Order management management Product Product availability availability check check Consoli-dation / dation / Picking Picking Touren-planung planung Delivery Delivery Invoicing Invoicing eCommerce eCommerce Trip Trip planning planning

(4)

Fol ie 4

Agenda

M Single tasks: B2C M Planning variants M Solution concept M System architecture M Outlook

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Fol ie 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, ...

(6)

Fol ie 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

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Level of service, costs & planning complexity

Level of service 2a

Client follows the date of delivery 2a

Client follows the date of delivery

2b

Client wants to select date and time of delivery 2b

Client wants to select date and time of delivery Transport costs

2c

Client wants to specify freely the delivery slot 2c

Client wants to specify freely the delivery slot

(8)

Fol ie 8

Level of service, costs & planning complexity

Level of service Planning complexity

2a

Client follows the date of delivery 2a

Client follows the date of delivery

2b

Client wants to select date and time of delivery 2b

Client wants to select date and time of delivery

2c

Client wants to specify freely the delivery slot

2c

Client wants to specify freely the delivery slot

ü

ü

ü

ü

ü

ü

ü

ü

Transport costs 2c

Client wants to specify freely the delivery slot

2c

Client wants to specify freely the delivery slot

~

GGGG

ü

ü

ü

ü

GGGG

(9)

Fol ie 9

Level of service, costs & planning complexity

Level of service Planning complexity

2a

Client follows the date of delivery 2a

Client follows the date of delivery

2b

Client wants to select date and time of delivery 2b

Client wants to select date and time of delivery

2c

Client wants to specify freely the delivery slot

2c

Client wants to specify freely the delivery slot

ü

ü

ü

ü

ü

ü

ü

ü

Transport costs 2c

Client wants to specify freely the delivery slot

2c

Client wants to specify freely the delivery slot

~

GGGG

ü

ü

ü

ü

GGGG

Large set of orders covering a

wide area Large set of orders

covering a wide area

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Fol ie 1 0

Example 1: 302 clients with 1-2 h delivery time window

47 trips 4832 km

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Example 2: 302 clients with 2-3 h delivery time window

34 trips 3846 km

(12)

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Example 3: all clients with open delivery time window

20 trips 2840 km

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Example 4: all clients with delivery time window 10:00-10:45

133 trips 10960 km

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Example 5: all clients with delivery time window 09:55-10:55

114 trips 9605 km

(15)

Fol ie 1 5

Agenda

M Single tasks: B2C M Planning variants M Solution concept M System architecture M Outlook

(16)

Fol ie 1 6

Integration of trip planning

www www shop shop Stock Stock manage-ment ment Order Order management management Product Product availability availability check check Consoli-dation / dation / Picking Picking Trip-planning planning Delivery Delivery Invoicing Invoicing

(17)

Fol ie 1 7

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

t

www www shop shop Trip Trip planning planning 1. 2. 2. Order confirmation

(18)

Fol ie 1 8

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

4. Consolidation / picking confirmation 5. Delivery papers M Vehicle loading up M Trip plan

t

www www shop shop Trip Trip planning planning Consoli-dation / dation / Picking Picking Delivery Delivery Order Order manage-ment ment 3. 4. 5.

(19)

Fol ie 1 9

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

4. Consolidation / picking confirmation 5. Delivery papers M Vehicle loading up M Trip-plan

t

www www shop shop Touren-planung planung Kommis-sionierung sionierung Aus-lieferung lieferung Auftrags-verwaltung verwaltung 3. 4. 5.

(20)

Fol ie 2 0

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

4. Consolidation / picking confirmation 5. Delivery papers M Vehicle loading up M Trip-plan

t

Pre-planning Planning server (Reservation of „time slots“ in frame trip-plan) Post-optimisation (Finalisation of trip-plan)

(21)

Fol ie 2 1

Task: Trip planning

Tactical

pre-planning 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

t

INTERTOUR ptv-eDeliveryServer INTERTOUR

Planning system (tool):

(22)

Fol ie 2 2

Pre-planning

M Generation of virtual stops on the basis of sociodemografic data M The result is an input for

(23)

Fol ie 2 3

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

(24)

Fol ie 2 4

Planning server

09:00-09:30 Planning of frame trips

Answering of requests 09:45-10:30 10:45-11:15 09:00-09:30 09:00-09:30 09:45-10:20 09:45-10:15 10:30-11:20 10:25-11:00 11:15-11:45 11:30-11:55 09:00-09:30 09:45-10:30 10:45-11:15 09:00-09:30 09:00-09:30 09:45-10:20 09:45-10:15 10:30-11:20 10:25-11:00 11:15-11:45 11:30-11:55 Legend: 13:00-13:40

Time slots from pre-planning Booking Trip area Depot Trip 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

(25)

Fol ie 2 5

Final optimisation

Final set of orders

Final optimisation 09:00-09:30 09:45-10:30 10:45-11:15 09:00-09:30 09:00-09:30 09:45-10:20 09:45-10:15 10:30-11:20 10:25-11:00 11:15-11:45 11:30-11:55 09:00-09:30 09:45-10:30 10:45-11:15 09:00-09:30 09:00-09:30 09:45-10:20 09:45-10:15 10:30-11:20 10:25-11:00 11:15-11:45 11:30-11:55 Legend: 13:00-13:40 Time-slot s from pre-planning Booking Trip area Depot Trip

M Objective: Using the full potential for trip optimisation taking into account the

(26)

Fol ie 2 6

(27)

Fol ie 2 7

(28)

Fol ie 2 8

Solution concept: Summary

M Planning principles M Frame planning

M Pre-planned trips

M Booking on trip structure vs.

M Free optimisation

M Collection of orders

M Determination of trips just in the end

M System availability

M Standard trip planning (cases 2a and 2c) M Multiscale eCommerce planning (case 2b)

(29)

Fol ie 2 9

Agenda

M Single tasks: B2C M Planning variants M Solution concept M System architecture M Outlook

(30)

Fol ie 3 0

System architecture

www www shop shop Stock Stock manage-ment ment Order Order mana mana- -gement gement Product Product availability availability check check Consoli-dation / dation / Picking Picking Trip-planning planning Delivery Delivery Invoicing Invoicing

(31)

Fol ie 3 1

Data flow

Execution system

for example SAP R/3 with CRM Presentation Layer - Web browser

Post-optimisation Planning server

Pre-planning

(32)

Fol ie 3 2

Agenda

M Single tasks: B2C M Planning variants M Solution concept M System architecture M Outlook

(33)

Fol ie 3 3

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)

(34)

Fol ie 3 4

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)

(35)

References

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