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Agifors Washington Erik Andersson, R&D Magnus Wennerholm, Airline Solutions David Walker, NA Sergey Tiourine Ph D Tomas Larsson Ph D Stefan Karisch Ph.

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Presentation on theme: "Agifors Washington Erik Andersson, R&D Magnus Wennerholm, Airline Solutions David Walker, NA Sergey Tiourine Ph D Tomas Larsson Ph D Stefan Karisch Ph."— Presentation transcript:

1 Agifors Washington Erik Andersson, R&D Magnus Wennerholm, Airline Solutions David Walker, NA Sergey Tiourine Ph D Tomas Larsson Ph D Stefan Karisch Ph D 3 May 2004

2 7 countries ~190 employees Carmen Group

3 Clients

4 Net sales

5 2003 - figures

6

7 Product Maturity Where we are with our products

8 1. Concept - A product description, and a value proposition 2. Contract - One customer contract is signed 3. Reference - The first customer uses the product and can be used as a reference 4. Package - Support, Implementation, Consulting and Service is separated from development. Typically three or more customers 5. Leadership - Clearly the most established product in the market Product Maturity The product maturity stages:

9 The same legality tool in all products Short lead-times to introduce new rules Very important when performing simulations (Clients estimate additional savings of 2%) RULE max_duty = %duty% <= 9:00; REMARK “Maximal duty”; END Optimization - Carmen Rave

10 Northwest Deutsche Bahn Lufthansa British Airways Core product Legality Quality Costs Reports Interfaces Colours etc... Optimization methods GUI Modelling tools like Rave and the report generator Basic functionality Optimization - Carmen Rave

11 Time Easily adapted to change IQ-Gap The Installation Quality Gap Business benefit Not possible to easily adjust the business logic Productio n taking Protecting Business Benefit

12 Airline Solutions

13 A Flight Simulator is a Box from the outside

14 From the inside it feels like a real airplane

15 You trust it because it is a good replication of reality. and you will trust the airline box for the same reason

16 MIT Extensible Air Network Simulation (MEANS) Professor John-Paul Clarke Department of Aeronautics & Astronautics Massachusetts Institute of Technology Cambridge, MA Carmen is part of and integrates with:

17 Today October 9 Planned Events Q2 Historical Events Q3 Fleet types are assigned for January December pairings are made Lines or rosters are made for November October Tails assigned Oct Rosters repaired from bid-clash, sick, and refleet For this afternoon and evening Passengers, Aircraft and Crew are recovered from disruptions. This is the operational database, You can use it to replace your legacy systems.

18 Planned Events Historical Events Profit Integration =Total gain Speed KPI Opt Quality KPI Speed KPI Integration KPI Performance KPI’s of optimizers relate directly to the bottom line

19 Summary

20 Visit us in our demo room!! carmen@carmensystems.com


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