Futuros Desenvolvimentos e Reflexões Finais 116

Ao longo da investigação efectuada surgiram diversos aspectos cuja análise pode vir a trazer contribuições relevantes para a gestão eficaz de tempos de múltiplos projectos através da CCPM. Há a destacar:

• Simulação da Execução de múltiplos projectos (e lançamento de novos projectos) programados pela CCPM com a respectiva Monitorização associada;

• Simulação da adequabilidade da aplicação do modelo das filas de espera ao dimensionamento da Reserva de Capacidade (CCB), conforme sugerido por Leach (2005b);

• Estudos Exploratórios Comparativos de Análise e Controlo Económico de Múltiplos Projectos pela CCPM face às metodologias tradicionais, i.e. o uso da Reserva de Custo face ao EVM (Earned-Value Management);

• Casuística de implementações CCPM em ambiente de múltiplos projectos, recorrendo a intervalos de valores/percentagens de parâmetros de avaliação, tais como as Receitas (Throughput) e Tempo de Ciclo, para caracterizar adequadamente o nível de melhorias obtidas (p.ex.: ganhos elevados, ganhos residuais, inexistência de ganhos).

Face aos conhecimentos adquiridos após o Estudo Bibliográfico realizado, e de acordo com a experiência adquirida na prática com a aplicação de softwares específicos da CCPM no Caso Prático e demais simulacros apresentados nesta dissertação, a CCPM apresenta-se como uma metodologia relativamente simples, potencialmente eficaz e eficiente na gestão de múltiplos projectos.

Destaque-se no entanto que não foi feito neste estudo o teste da CCPM ao nível da Execução e Controlo/Monitorização dos projectos apresentados no Caso de Estudo. Contudo, qualquer um dos softwares específicos da CCPM, como por exemplo o ProChain™ com a adição dos comandos do ProChainPipeline™, é aplicável na realização desses testes desde que se esteja em posse de todos os dados requeridos.

A CCPM parte de um número reduzido de regras simples e bem definidas e de uma metodologia sequencial para programar múltiplos projectos, apresentando-se assim como uma alternativa às metodologias tradicionais, nomeadamente fornecendo uma maior disciplina de planeamento e execução dos projectos e consequente monitorização com um método adequado que proporciona mais e melhor informação ao gestor do projecto e aos operadores – a Gestão das Reservas. Apesar de existirem ainda inúmeros campos de investigação possíveis nesta área, nomeadamente em Portugal onde a disseminação deste conhecimento é reduzida, a presente dissertação constitui uma contribuição para um melhor conhecimento da Aplicação da Teoria das Restrições (TOC) ao Planeamento de Múltiplos Projectos usando o Método da Cadeia Crítica.

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REFERÊNCIAS BIBLIOGRÁFICAS

Amor, J., & Teplitz, C. (1998). An Efficient Aproximation for Project Composite Learning Curves. Project Management Journal, 29(3), 28-42.

Boctor, F. F. (1990). Some Efficient Multi-Heuristics Procedures for Resource- Constrained Project Scheduling. Eur. J. Opl. Res., No 49, 3-13.

Brown, T. P. (2002). Multi-Project Critical Chain and Buffer Management for

Capital and Innovation Projects. Paper presented at the Critical Chain Symposium 2002.

Carbno, C. (1999). Optimal Resource Allocation for Project. Project Management

Journal, 30(2), 22-31.

Coelho, J. (Producer). (2004, 20 Janeiro 2009) GPI: 6.Gestão da Cadeia Crítica Coelho, J. P. (2000). Análise de Problemas e Heurísticas para o “Resource

Constrained Project Scheduling Problem” (RCPSP). Instituto Superior Técnico, Lisboa.

Cook, S. C. (1998). Applying Critical Chain to Improve the Management of

Uncertainty in Projects. Unpublished Dissertation, Massachusetts Institute of Technology.

Courinha, E. (2005). Reorganização do layout do armazém de galénicos da empresa AGA Unpublished Projecto Final de Curso. FCT/UNL.

Cox III, J. F., Blackstone Jr., J. H., & Spencer, M. S. (Eds.). (1995) (8th ed.). Falls Church, VA: American Production and Inventory Control Society.

Debels, D., & Vanhoucke, M. (2005). A Bi-Population Based Genetic Algorithm for the Resource-Constrained Project Scheduling Problem. Unpublished Working paper. Univrsiteit Gent - Faculteit Economie en Bedrijfskunde. Dettmer, H. W. (2003). Strategic navigation: A systems approach to business

strategy. Milwaukee, WI, EUA: ASQ Quality Press.

Dettmer, H. W. (Ed.). (1997). Goldratt's theory of constraints: a Systems approach

to continuous approach. Milwaukee, WI, EUA: ASQ Quality Press.

Dilmaghani, F. (2008). Critical Chain Project Management (CCPM) at Bosch

Security Systems (CCTV) Eindhoven - A Survey to explore improvement opportunities in the scheduling and monitoring of product development projects. University of Twente, Twente.

East, E. W. (1998). Dynamic, Multi-Project Scheduling Under Limited Resources

with Uncertain Project Demand. Unpublished Reserach Proposal, University of Illinois, Urbana, Illinois.

Gemill, D., & Tsai, Y. (1997). Using a Simulated Annealing Algorithm to Schedule Activities of Resource-Constrained Projects. Project Management Journal,

28(4), 8-20.

Gemmill, D., & Edwards, M. (1999). Improving Resource-Constrained Project Schedules with Look-Ahead Techniques. Project Management Journal,

30(3), 44-54.

Goldratt, E. M. (1997). Critical Chain (1st ed.). Great Barrington, USA: North River Press.

Goldratt, E. M., & Cox, J. (1992). The Goal: A Process of Ongoing Improvement (2nd revised ed.). Great Barrington, USA: North River Press.

Gonçalves, J. F., Magalhães Mendes, J. J. d., & Resende, M. G. C. (2004). A

Genetic Algorithm for the Resource Constrained Multi-Project Scheduling Problem. NJ, USA: AT&T.

Hartmann, S. (2001). Project Scheduling with Multiple Modes: A Genetic Algorithm. Annals of Operations Research, 102, 111–135.

- 118 -

Herroelen, W., & Leus, R. (2001). On the merits and pitfalls of critical chain scheduling. Journal of Operations Management(19), pp. 559–577.

Herroelen, W., & Leus, R. (2004). Robust and reactive project scheduling: a review and classification of procedures. International Journal of Production

Research, 42(8), pp. 1599-1620.

Herroelen, W., Leus, R., & Demeulemeester, E. (2002). Critical Chain Project Scheduling: Do Not Oversimplify. Project Management Journal(December 2002).

Hoel, K., & Taylor, S. G. (1999). Quantifying buffers for project schedules.

Production and Inventory Management Journal, 40, 43-47.

Holohan, R. (2009). Schedule killers – parkinson’s law. The pm411.org project

management podcast, Podcast episode 046(Parkinson’s law). Retrieved from http://pm411.org/2009/09/11/podcast-episode-046-schedule-killers- parkinsons-law/

Ibbs, C., Lee, S., & Li, M. (1998). Fast Tracking & Impact on Project Change.

Project Management Journal, 29(4), 35-42.

Karp, D. (2002). Critical Chain Project Management - Why it delivers such tremendous results. Tucson: Southern Arizona TOC Specialists.

Kelley, J. E. (1963). The Critical Method: Resources Planning and Scheduling. In M. a. G.L.Thompson (Ed.), Industrial Scedulling (pp. 347-365). New Jersey: Prentice-Hall.

Kendall, G. I. (2006). Chapter 22. Critical Chain Project Management. In H. Kerzner (Ed.), Project Management, A Systems Approach to Planning,

Scheduling, and Controlling (9th ed., pp. 911-937): John Wiley & Sons. Kendall, G. I., Pitagorsky, G., & Hulett, D. (2001). Integrating Critical Chain and

the PMBOK® Guide: International Institute for Learning, Inc.

Kerzner, H. (1994). Project Management: A System's Approach to Planning,

Schedduling and Controlling (5th ed.). New York: Van Nostrand Reinhold. Kim, J.-L., & Jr., R. D. E. (2005). A Framework for Integration Model of Resource-

Constrained Scheduling using Genetic Algorithms. Paper presented at the Winter Simulation Conference.

Kumar, V. K., & Ganesh, L. (1999). Fuzzy Operations and Petri Nets: Techniques for Resource Substitution in Projects. Project Management Journal, 30(3), 13-22.

Lam, K. C., Lee, D., & Hu, T. (2001). Understanding the effect of the learning- forgetting phenomenon to duration of projects construction. International

Journal of Project Management, 19, 411-420.

Leach, L. (2000a). Critical Chain Project Management (1nd ed.). Norwood, USA: Artech House.

Leach, L. (2000b). Critical Chain Project Management Improves Project Performance. Project Management Journal.

Leach, L. (2005a). Chapter 8.1 - Applying the Theory of Constraints to Project Portfolio Management. In H. A. Levine (Ed.), Project Portfolio

Management, A Pratical Guide to Selecting Projects, Managing Portfolios, and Maximing Benefits (pp. 357-389): Jossey-Bass.

Leach, L. (2005b). Critical Chain Project Management (2nd ed.). Norwood, USA: Artech House.

Leach, L. (2006). Critical Sequence: Yahoo Critical Chain Group.

Leach, L. (2007). Multiproject Execution With CCPM+. In I. Advanced Projects (Eds.)

- 119 -

Lechler, T. G., Ronen, B., & Stohr, E. A. (2005). Critical Chain: A New Project Management Paradigm or Old Wine in New Bottles? Engineering

Management Journal, 17(4), 45-58.

Levy, N., & Globerson, S. (1997). Improving Multiproject Management by Using a Queuing Theory Approach. Project Management Journal, 28(4), 40-46. Main, S., & Dai, C. (1999). Decision Making Over the Project Life Cycle: An

Analytical Hierarchy Approach. Project Management Journal, 30(1), 40-52. Manas, J. (2006). NAPOLEÃO NA GESTÃO DE PROJECTOS - Lições Intemporais

sobre Planeamento, Execução e Liderança. Lisboa: Smartbook.

McMullen Jr., T. B. (1998). Introduction to the Theory of Constraints (TOC)

Management System. Boca Raton, USA: The St. Lucie Press.

Meredith, J. R., & Mantel, S. J. (1995). Project Management: A Managerial

Approach (3rd ed.). New York: John Wiley & Sons Inc.

Miguel, A. (2008). Gestão de Projectos de Software (3 ed.). Lisboa: FCA.

Murmis, G. (1998). "S" Curves Monitoring Project Progress. Project Management

Journal, 28(3), 29-36.

Newbold, R. C. (1998). Project Management in the Fast Lane - Applying the

Theory of Constraints. Boca Raton, USA: The St. Lucie Press.

Parkinson, C. (1958). Parkinson's Law: The Pursuit of Progress. London, UK: John Murray.

Patrick, F. S. (1999a). Program Management, Turning Many Projects into Few

Priorities with TOC. Paper presented at the PMI Symposium 1999.

Patrick, F. S. (1999b). Getting Out From Between Parkinson's Rock and Murphy's Hard Place. PM Network, 13, pp. 57-62.

Paul, L. W. (2001). The Concurrent Development (CD) Scheduling Problem. Unpublished Dissertation, University of South Florida.

Piney, C. K. (2000). Critical path, or chain combining the best of both. PM

Network, Dezembro, 51-54.

Pittman. (1994). Project Management: a more effective methodology for the planning and control of projects. Dissertation Abstracts International. Pritsker, A., Allan, B., Watters, L. J., & Wolfe, P. M. (1969). Multiproject

scheduling, A zero-one programming approach. Management Science, 1, 93-108.

ProChainSolutions. (2001). ProChain Pipeline User's Guide Version 5.0. Lake Ridge, Virginia: ProChain Solutions Inc.

ProChainSolutions. (2002). ProChain applications (Versão 6.0) (Disponível no Autor 12910 Harbor Drive, Lake Ridge, VA22192, EUA ou www.prochain.com).

Rand, G. K. (2000). Critical Chain: Theory of constraints applied to project management. International Journal of Project Management, 18(3), 173- 177.

Realization Technologies, I. (2004b). Project Flow - A Commom Sense Approach to Multi-Project Management. Retrieved from http://www.realization.com Realization Technologies, I. (2009). Execution Management Results: As reported

by Realization's Clients. Paper presented at the Realization Project Flow Conference.

Ribeiro, P. M. (2000). Fundamental do Microsoft Project 2000 (3ª ed.). Lisboa: FCA.

Sciforma_Corporation. (2003). Critical Chain concepts. Consultado a 20 Agosto

2008 em

- 120 -

Siqueira, I. (1999). Automated Cost Estimating System Using Neural Networks.

Project Management Journal, 30(1), 11-18.

Sood, S. (2003). Taming Uncertainty. PM Network, pp. 57-59.

Tavares, L. V. (1996). Investigação Operacional. Lisboa: McGraw-Hill.

Tenera. (2006). Contribuição para a melhoria da gestão da incerteza na duração

dos projectos através da Teoria das Restrições. FCT/UNL, Lisboa.

Tenera, A., & Abreu, A. (2008). A critical chain perspective to support

management activities in dynamic production networks. Paper presented at the IEEE IEMC – Europe 2008 – International Engineering Management Conference on Managing Engineering, Technology and Innovation for Growth, Estoril, Portugal.

Tenera, A., & Cruz Machado, V. (2007). Critical Chain Project Management: A

New Approach for Time Buffer Sizing. Paper presented at the Institute of Industrial Engineering Annual Conference, Nashville, USA.

Toklu, Y. C. (2002). Application of Genetic Algorithms to Construction Scheduling with or without Resource Constraints. Canadian Journal of Civil

Engineering, 29(3), 421-429.

Walker II, E. D. (1998). Planning and Controlling Multiple, Simultaneous,

Independent Projects in a Resource-Constrained Environment. Unpublished Dissertation, University of Georgia.

Wiest, J. D. (1964). Some properties of schedules for large projects with limited resources. Operations Research, 12.

www.pqa.net (Producer). (2003, 30/01/2008) Diferences Between Critical Chain (CCPM) & Traditional Project Management. Article retrieved from www.pqa.net/ProServices/ccpm/W05002003

Yassine, A. A., Meier, C., & Browning, T. R. (2007). Multi-Project Scheduling using Competent Genetic Algorithms. Unpublished Working paper. Department of Industrial & Enterprise Systems Engineering (IESE), University of Illinois.

Yu, C.-C., & Noppadon, N. (2007). Buffer Management for Multi-Project

Sceduling and Control in Critical Chain Project Management. Paper presented at the IAIT 2007.