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Francisco Lemos. Thanks President of the Juri - Profª. Ana Cristina Amaro (Phd) (Examiner) Pedro Tavares (Phd) (Mater’s Thesis Orienter) Pedro Coimbra.

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Presentation on theme: "Francisco Lemos. Thanks President of the Juri - Profª. Ana Cristina Amaro (Phd) (Examiner) Pedro Tavares (Phd) (Mater’s Thesis Orienter) Pedro Coimbra."— Presentation transcript:

1 Francisco Lemos

2 Thanks President of the Juri - Profª. Ana Cristina Amaro (Phd) (Examiner) Pedro Tavares (Phd) (Mater’s Thesis Orienter) Pedro Coimbra Martins (Phd) (Mater’s Thesis Co-Orienter)Paulo Leitão (City Council Official) (Mater’s Thesis Supervisor) Cmd. Costa Ramos (Aeronatical Engeneering Technician)

3 Keywords Bissaya Barreto Municipal Airfield Coimbra City Council Applied Mathematics Linear Optimization Operations Research Data Envelopment Analysis

4 Financial envelope Cost structure: Anual current expense aprox ,00 € (Financial + HR) No income, no landing, parking or fuel supply fees

5 Functional structure Pilot School - Aero Clube de Coimbra Aeronautic maintenance – Industrias Aeronáuticas de Coimbra

6 Functional structure Fire prevention squadron Functional runway – landing of Brazil’s President, Dilma Roussef

7 Architecture project for development – 5 tsages with a total of 9 infrastructures 1st stage: Parking space and fuel supply 2nd stage: runway extension and transfer of safe house 3rd stage: Parking space 4th stage: Parking space and access to runway 5th stage: Parking space and hangar layout

8 What’s the Problem? Minimum ammount of capital q decreasing linearly with time that’s necessary to execute the project?

9 Initial Scenario Necessary: Execute the infrastructure project in 15 years Pay the project in 25 years With: Bank financing European Union funding Income from investments being made

10 Formulation – Data – Project stages ST0 = ,00 € (initial capital at t = 0, or starting cash flow)

11 i (Stage)Where’s the income coming? Expected income value 1HANGAR RENT6000, ,96 1HANGAR RENT5100, ,116 1HANGAR RENT2550, ,058 1HANGAR RENT2550, ,058 1HANGAR RENT2550, ,058 5HANGAR RENT8100, ,596 5HANGAR RENT8100, ,596 5HANGAR RENT8100, ,596 9HANGAR RENT12000, ,92 9HANGAR RENT12000, ,92 9HANGAR RENT12000, ,92 9HANGAR RENT12000, ,92 9HANGAR RENT9000, ,44 9HANGAR RENT2550, ,058 9HANGAR RENT2550, ,058 9HANGAR RENT2550, ,058 1Parking Parking Parking5068, ,4 6Parking1937, Total43122,73 Formulation – Data – Income prediction

12 i (Stage)Investiment 1 Parking and hangars12.179,20 5Parking space8.752,76 6Parking16.814,38 9Hangars5.376,22 Total43.122,56 Formulation – Data – Income prediction

13 t [year] , , , , , , , , , , , , , , ,00810 (interests) (sum of debt payment equals the loan’s amount) Formulation – Data – Financing constraints

14 k Human resource expenses 1Air trafic controller26.200,001251,5 2 Air trafic controller being retired in five years 8.610,00151,5 3 Airfield director (one year contract) 9.804, Financial costs ,821251,5 Formulation – Data – Human resources and financial costs

15 Formulação – Data – Project stage constraints

16 Formulation – Data – Project stage constraints

17 Formulation – Compilation

18

19 Formulação – Dados e Programação Linear Inteira Mista – Restrições adicionais

20 Formulation – Sustainability constraint

21 Efficiency analysis – Data envelopment analysis Data Envelopment Analysis (DEA), formulated by CHARNES et al. Input: q Outputs: Net Present Value (NPV) Investment income Z Investment in internal processes and internal learning (PAPC)

22 Scenario results Initial scenario(5.1.1) q [€] RI [€] (Total income from investment) NPV [€] D [€] (Total of expenses) P [€] (Total loans) J [€] (Total interest paid) Z [€] (Deficit) , , , , , , ,36

23 Initial scenario(5.1.1) Infrastructure Year Scenario results

24 Reduction of expenses (5.1.2) k Human resource expenses 1 Air trafic controller ,001251,5 2 Air trafic controller being retired in five years 8.610,00151,5 3 Airfield director (one year contract) 9.804, Financial costs , Scenario results

25 Resultados e análise de Scenarios Reduction of expenses(5.1.2) q [€] RI [€] (Total income from investment) NPV [€] D [€] (Total of expenses) P [€] (Total loans) J [€] (Total interest paid) Z [€] (Deficit) , , , , , , ,10

26 Reduction of expenses(5.1.2) Infrastructure Year Scenario results

27 No European Union Funding with expense reduction(5.1.3) StageiPreceding stage 11 Parking and hangars54.500, Fuel supply , Runway extension , Transfer of safe house50.000, Parking space30.300, Access to parking87.400, Parking space5.000, Parking space69.750, Hangar layout67.700, Scenario results

28 No European Union Funding with expense reduction (5.1.3) q [€] RI [€] (Total income from investment) NPV [€] D [€] (Total of expenses) P [€] (Total loans) J [€] (Total interest paid) Z [€] (Deficit) , , , , , , ,10 Scenario results

29 No European Union Funding with expense reduction(5.1.3) Infrastructure Year Scenario results

30 Expense reduction and replaning (5.1.4) Stage i Preceding stage 11 Parking and hangars54.500, Fuel supply , Runway extension , Transfer of safe house50.000, Parking space30.300, Access to parking87.400, Parking space5.000, Parking space69.750, Hangar layout67.700, Hangar building ,00801 Scenario results

31 Expense reduction and replaning(5.1.4) iDesignação da taxaValor[€] 1HANGAR RENT6000, ,96 1HANGAR RENT5100, ,12 10HANGAR OCCUPATION RENT2550, ,17 1HANGAR RENT2550, ,06 1HANGAR RENT2550, ,06 5HANGAR RENT8100, ,60 5HANGAR RENT8100, ,60 5HANGAR RENT8100, ,60 9HANGAR RENT12000, ,92 9HANGAR RENT12000, ,92 9HANGAR RENT12000, ,92 9HANGAR RENT12000, ,92 9HANGAR RENT9000, ,44 9HANGAR RENT2550, ,06 9HANGAR RENT2550, ,06 9HANGAR RENT2550, ,06 1Parking ,00 5Parking ,00 6Parking5068, , , ,00 Total43.546,87 Scenario results

32 Expense reduction and replaning(5.1.4) q [€] RI [€] (Total income from investment) NPV [€] D [€] (Total of expenses) P [€] (Total loans) J [€] (Total interest paid) Z [€] (Deficit) , , , , , , ,98 Scenario results

33 Expense reduction and replaning(5.1.4 Infrastructure Year Scenario results

34 Expense reduction with replaning and investment in internal processes and learning,PAPC (5.1.5) Stage i Preceding stage 11 Parking and hangars , Fuel supply , Runway extension , Transfer of safe house , Parking space , Access to parking , Parking space 5.000, Parking space , Hangar layout , Hangar building , Promotion plan + Information System + Cooperation protocols – stage , Promotion plan + Information System + Cooperation protocols – stage , Promotion plan + Information System + Cooperation protocols – stage , Promotion plan + Information System + Cooperation protocols – stage , Promotion plan + Information System + Cooperation protocols – stage ,00804 Scenario results

35 Expense reduction with replaning and investment in internal processes and learning,PAPC (5.1.5) kDesignação da despesa 1 Air trafic controller ,001251,5 2 Air trafic controller being retired in five years 8.610,00151,5 3Airfield director (one year contract)9.804,001251,5 4Financial costs , Scenario results

36 Expense reduction with replaning and investment in internal processes and learning,PAPC (5.1.5) iDesignação da taxaValor[€] 1HANGAR RENT 6000, ,60 1HANGAR RENT 5100, ,86 10HANGAR OCCUPATION RENT 2550, ,29 1HANGAR RENT 2550, ,43 1HANGAR RENT 2550, ,43 5HANGAR RENT 8100, ,66 5HANGAR RENT 8100, ,66 5HANGAR RENT 8100, ,66 9HANGAR RENT , ,20 9HANGAR RENT , ,20 9HANGAR RENT , ,20 9HANGAR RENT , ,20 9HANGAR RENT 9000, ,40 9HANGAR RENT 2550, ,43 9HANGAR RENT 2550, ,43 9HANGAR RENT 2550, ,06 1Parking ,00 5Parking ,00 6Parking 50.68, ,40 6Parking 1.937, ,00 Total49.659,108 Scenario results

37 Expense reduction with replaning and investment in internal processes and learning,PAPC (5.1.5) q [€] RI [€] (Total income from investment) NPV [€] D [€] (Total of expenses) P [€] (Total loans) J [€] (Total interest paid) Z [€] (Deficit) , , , , , , ,22 Scenario results

38 Expense reduction with replaning and investment in internal processes and learning,PAPC(5.1.5) Infrastructure Year Scenario results

39 Resultados e análise de Scenarios RI vs PAPC (5.2.1) DMU/scenario InputOutputs q [€]RI [€]PAPC , , , , , , , , , ,0910 DMU/scenario Eficiency [%]Target q [€]Target RI [€] Target PAPCq [%]RI [%]PAPC [%] , , ,8610,26-50,70926, , , ,848,69-2,30769, ,74 €88946, ,947,38-37,30638, ,60 €103987, ,118,63-5,40762, ,00 €120507, ,

40 RI vs PAPC (5.2.1) Scenario results

41 NPV vs PAPC(5.2.2) DMU/Scenari o InputOutputs qNPVPAPC , , , , , , , , , ,3110 DMU/ Scenario Eficiency [%]Target q [€] Target VAL [€] Target PAPCq [%]VAL [%]PAPC [%] , , ,731-72, , , ,721-0, , , ,751-70, , , , , Scenario results

42 NPV vs PAPC(5.2.2) Scenario results

43 Z vs PAPC(5.2.3) DMU/Scenari o InputOutputs qZPAPC , , , , , , , , , ,2210 DMU/ Scenario Eficiency [%]Target q [€] Target Z [€] Target PAPCq [%]Z [%] PAPC [%] , , ,721-95,2-99, , , ,721-88,8-66, ,512050, ,721-91,5-66, , , , , , , Scenario results

44 Z vs PAPC(5.2.3)

45 Financial analysis (5.2.4) DMU/ ScenarioEficiency [%]Target q [€]Target Z [€]Target VAL [€]Target RI [€]q [%]Z [%]VAL [%]RI [%] , , , , ,12-50,7052,7-92, , , , , , , ,8-3120,1-35,90118, , , , , , , , , Scenario results

46 Model conclusions What’s left to explore? Variable limitations? Software package distribution ? Other applications: Highways, hospital, stadiums? Production of pharmaceuticals? Software development?

47 Sustainability study conclusions Gradual decrease of expense Acompany infrastructure execution with the understanding of internal processes and learning. European Union funding

48 The End Thank you


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