Optimization tool CargoSim - transcare.de

Optimization tool CargoSim 

Wiesbaden, 7th of October 2010 

Innovative Logistics Consultancy ñ 

Solutions for Your Success

Contents 

1. Application example 

2. Structure of the optimization tool CargoSim 

3. Fields of application CargoSim 

© TransCare AG 

2

Port of L¸beck 


1. Application example CargoSim 

The port of L¸beck is Germany's largest port operator in the Baltic Sea 

Services: 

ï RoRo-handling of trucks and trailers 

ï Transshipment, storage, commissioning and distribution of forest products (paper 

and pulp) 

ï Shipping of export cars 

ï Container transshipment 

ï Transshipment and storage of general cargo and bulk cargo (e. g. salt) 

ï Inspection, maintenance and repair of the motor pool, equipment and buildings of 

the port as well as other companies 

ï Transshipment of fruit, wood, steel and other bulk cargo, cleaning of containers, 

commissioning and delivery of groupage consignments using combined traffic 

ï Europe-wide distribution of goods, specialized in forest products 

3

Project overview Port of L¸beck 

Scope 

Instruments 


Market analysis and identification of relevant business segments 

for middle and long term planning 

Evaluation of impacts of ìFehmarnbeltquerungî on the strategic focus of the port 

Competition analysis 

Definition of management options to strengthen the market position of the port 

Commercial evaluation of these options for future action 

Prognosis of future handling volumes and market share forecast 

Use of CargoSim, which simulates cargo flows 

1. Application example CargoSim 

Regression analysis to evaluate future relevant export volumes 

The optimization tool CargoSim was an important part of the project 

4

Structure 

Data Input 

Components 

Whatës Best: Solving 

Results 


130 Transport 

nodes 

2.000 Transport 

arcs 

Transportation 

network 

Objective 

Cost minimization 


Regression 

analysis 

Transport 

volumes 

Optimization model 

Adjustables 

Transport flows, 

Handling volumes 

within the nodes 

ShipCheck 

TrainCheck 

RoadCheck 

Costs for all 

modes of 

transport 

Capacities 

Constraints 

Capacities 

Cost optimal allocation of transport volumes to routes, 

market share of LHG, impacts of ìFehmarnbeltquerungî 

5

CargoSim - TrainCheck 



DK 

Neum¸nster 

Hamburg 

Fredericia 

F¸nen 

Seeland 

Lolland 

L¸beck 

The routing of export volumes is based on transport costs 

Rostock 

Malmˆ 

DE 

SE 

6

CargoSim - RoadCheck 



DK 

Neum¸nster 

Hamburg 


Distortions due to fluctuating prices are eliminated 

F¸nen 

Seeland 

Lolland 

L¸beck 

Rostock 

Malmˆ 

DE 

SE 

7

CargoSim - ShipCheck 

Schiffstyp RoPax 

RoRo 

ConRo 

Schiffsklasse Stena Hollandica Nils Holgersson Finnhansa Finnstar Finnhawk Transpaper Transfennica Timca 

A. Basisdaten 

I. Gewicht 

Eigengewicht [t] 

Maximale Zuladung [t] 

Hˆchs tes Ges amtgewicht [t] 11.600 7.200 11.600 9.653 18.541 13.800 17.400 

BRZ 64.039 36.468 33.313 42.923 11.530 23.128 28.301 

NRZ 11.748 10.940 9.761 9.800 5.457 6.938 

II. Abmessungen 

L‰nge [m] 240 190 183 217 162 191 205 

Breite [m] 32 30 29 30,5 21 26 25,5 

Tiefgang [m] 6,40 6,22 7,40 7,00 6,70 7,80 8,40 

III. Kapazit‰ten 

Maximale Frachtzuladung [t] 6.400 3.500 3.200 4.000 4.520 9.300 3.800 

Lademeter [m] 5.500 2.640 3.050 4.216 1.890 2.774 2.800 

Trailer Kapazit‰t [EH] 320 175 160 200 226 190 

Container Kapazit‰t [TEU] - - - 500 391 155 640 

Pas sagiere [EH] 1.200 744 270 500 12 - - 

KFZ 

IV. Leistung 

Motorleistung [kW ] 33.600 29.880 23.040 48.000 12.600 18.000 25.200 

Verdr‰ngung [cbm] 11.498 7.137 11.498 9.568 18.378 13.679 17.247 

Max. Ges chwindigkeit [km/h] 40,74 40,74 40,74 40,74 40,74 40,74 40,74 

Reiseges chwindigkeit [km/h] 31,48 31,48 31,48 31,48 31,48 31,48 31,48 

V. Besatzung (doppelt) 132 112 34 14 30 30 24 

Leichtmatros e [Pers .] 80 60 16 6 14 14 12 

Boots mann/Matrose [Pers.] 46 46 14 4 12 12 8 

Steuermann [Pers .] 4 4 2 2 2 2 2 

Schiffsf¸hrer [Pers.] 2 2 2 2 2 2 2 



DK 

Neum¸nster 

Hamburg 


F¸nen 

Seeland 

Lolland 

L¸beck 

Costs for all modes of transport could be calculated 

Rostock 

Malmˆ 

DE 

SE 

8

Mathematical formulation 

Constraints 


Minimize 

(1.1) 

Definition of an individual transport problem 

For all i, j = 1, Ö, N and 

k = 1, Ö, K 

(1.2) For all o = 1, Ö, O 

(1.3) 

For all o = 1, Ö, O; j = 1, Ö, 

N; j ≠ Quelle o and j ≠ Senke o 

(1.4) For all o = 1, Ö, O 

(1.5) 

(1.6) 


Objective 

cost minimization 

For alle i, j = 1, Ö, N; 

k = 1, Ö K and o = 1, Ö, O 

For all i = 1, Ö, N and 

o = 1, Ö, O 

9

Example (1) 

Transport volume 

Stockholm -> Mailand 5 ME 

Transport costs 


An Du Gˆ HL Mal Mai Sto 

An - 3 - - - - - 

Du - - - - - 3/4 - 

Gˆ 7 - - 3 - - - 

HL - 3 - - - 5 - 

Mal - 6 - 4/3 - - - 

Mai - - - - - - - 

Sto - - 3/4 - 4/5 - - 


Gˆteborg 

Antwerpen 

L¸beck 

Mailand 

Stockholm 

Malmˆ 

Duisburg 

Rail 

Road 

Ship 

10

Example (2) 

Transport volume 

Stockholm -> Mailand 5 ME 5 ME 




An - 3 - - - - - 

Du - - - - - 3/4 - 

Gˆ 7 - - 3 - - - 

HL - 3 - - - 5 - 

Mal - 6 - 4/3 - - - 

Mai - - - - - - - 

Sto - - 3/4 - 4/5 - - 

Routing via Gˆteborg ñ L¸beck 

with minimal transport costs 


Gˆteborg 

Antwerpen 

5 ME 

L¸beck 

Mailand 

Stockholm 

Malmˆ 

Duisburg 

5 ME 

∑ Transport costs: 

5 ME ∙ 3 + 5 ME ∙ 3 + 5 ME ∙ 5 = 55 GE 

Rail 

Road 

Ship 

11

Example (3) 

Transport volumes 





An - 3 - - - - - 

Du - - - - - 3/4 - 

Gˆ 7 - - 3 - - - 

HL - 3 - - - 5 - 

Mal - 6 - 4/3 - - - 

Mai - - - - - - - 

Sto - - 3/4 - 4/5 - - 

Capacities 


An - 3 - - - - - 

Du - - - - - 2 - 

Gˆ 5 - - 3 - - - 

HL - - - - - 3 - 

Mal - 5 - 2/3 - - - 

Mai - - - - - - - 

Sto - - 3 - 4 - - 


Gˆteborg 

Antwerpen 

5 ME 

L¸beck 

Mailand 

Stockholm 

Malmˆ 

Duisburg 

5 ME 


5 ME ∙ 3 + 5 ME ∙ 3 + 5 ME ∙ 5 = 55 GE 

Capacity 

Gˆteborg - 

L¸beck 

exceeded 

Rail 

Road 

Ship 

12

Example (4) 

Transport volumes 





An - 3 - - - - - 

Du - - - - - 3/4 - 

Gˆ 7 - - 3 - - - 

HL - 3 - - - 5 - 

Mal - 6 - 4/3 - - - 

Mai - - - - - - - 

Sto - - 3/4 - 4/5 - - 

Capacities 


An - 3 - - - - - 

Du - - - - - 2 - 

Gˆ 5 - - 3 - - - 

HL - - - - - 3 - 

Mal - 5 - 2/3 - - - 

Mai - - - - - - - 

Sto - - 3 - 4 - - 


Gˆteborg 

Antwerpen 

2 ME 

2 ME 

3 ME 

L¸beck 

Mailand 

Stockholm 

Malmˆ 

Duisburg 

3 ME 

2 ME 


3 ME ∙ 3 + 3 ME ∙ 3 + 3 ME ∙ 5 + 

2 ME ∙ 4 + 2 ME ∙ 6 + 2 ME ∙ 2 = 57 GE 

Routing 

via Malmˆ 

as a second 

option 

Rail 

Road 

Ship 

13

Optimization results 

ï Simulation of different scenarios 

(basic, increasing fuel prices, 

Fehmarnbeltquerung) 

ï Development of total handling 

volumes and market shares 

ï Competition analysis: Prognosis 

of handling volumes separated 

by selected ports and transport 

relations 



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Fields of application CargoSim 

I. Determination of market potentials 

Which cargo volumes will flow via the port in the future (potentials) 

and which volumes will bypass the port (challenges) within a 

defined planning horizon (e.g. 2015)? 

II. Competition analysis 

Which competitive advantages and disadvantages exist for which cargo volume 

(from/to Hinterland) due to the location of the port? 

According to the optimization objective used you can distinguish two methods: 

Cost or carbon dioxide minimization 

III. Simulation of different scenarios regarding 


ï Infrastructure changes (e.g. expansion of port capacity, expansion of rail corridors 

in the hinterland) 

ï Cost movements (e.g. reduction of rail costs due to market liberalization, increase 

in bunker fuel prices, road charges, crude oil prices, electricity prices) and detailed 

representation of the resulting profits and losses in volume per transport route 

CargoSim as a basis for decision-making 

regarding marketing and strategic measures 

3. Fields of application CargoSim 

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Thank you for your attention! 

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Optimization tool CargoSim - transcare.de

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