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2004 | Metody i zastosowania badań operacyjnych '04 | 61--75
Tytuł artykułu

Metody wielokryterialne w planowaniu projektów

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Języki publikacji
PL
Abstrakty
Celem niniejszego opracowania jest prezentacja wyników badań dotyczących stosowalności metod analizy wielokryterialnej w procesach planowania projektów. Praca składa się z następujących części: pierwszej, wprowadzającej w tematykę planowania i uzasadniającej jej znaczenie, drugiej, opisującej przykładowe kryteria oceny projektów oraz trzeciej - zawierającej wskazania na obszary zastosowań poszczególnych metod w kontekście planowania w projektach. (fragment tekstu)
Twórcy
  • Akademia Ekonomiczna im. Karola Adamieckiego w Katowicach
Bibliografia
  • Al.-Harbi K.M.Al.-S. (2001). Application of the AHP in Project Management. International Journal of Project Management 19, 19-27.
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  • Al-Rashdan D., Al-Kloub B., Dean A., Al-Shemmeri T. (1999). Environmental Impact Assessment and Ranking the Environmental Projects in Jordan. European Journal of Operational Research, 118, 30-45.
  • Archer N.P., Ghasemzadeh F. (1999). An Integrated Framework for Project Portfolio Selection. International Journal of Project Management, 17, 207-216.
  • Arikan F., Güngör Z. (2001). An Application of Fuzzy Goal Programming to a Multiobjective Project Network Problem. Fuzzy Sets and Systems, 119, 49-58.
  • Atkinson R. (1999). Project Management: Time, Cost and Quality: Two Best Guesses and a Phenomenon, it's Time to Accept other Success Criteria. International Journal of Project Management, 6, 337-342.
  • Babu A.J.G., Suresh N. (1996). Project Management with Time, Cost, and Quality Considerations. European Journal of Operational Research, 88, 320-327.
  • Badania Operacyjne. (2001). Red. E. Ignasiak. PWE, Warszawa.
  • Badiru A.B., Pulat P.S. (1995). Comprehensive Project Management: Integrating Optimization Models, Management Principles, and Computers. Prentice Hall, Englewood Cliffs, New Jersey.
  • Barber E. (2004). Benchmarking the Management of Projects: a Review of Current Thinking. International Journal of Project Management, 22, 301-307.
  • Behrens W., Hawranek P.M. (1993). Poradnik przygotowania przemysłowych studiów feasibility. United Nations Industrial Development Organization, Warszawa.
  • Braunschweig T., Janssen W., Rieder P. (2001). Identifying Criteria for Public Agricultural Research Decisions. Research Policy, 30, 725-734.
  • Costa J.P., Melo P., Godinho P., Dias L.C. (2003). The AGAP System: A GDSS for Project Analysis and Evaluation. European Journal of Operational Research, 145, 287-303.
  • De P., Dunne E.J., Ghosh J.B., Wells Ch.E. (1995). The Discrete Time-cost Tradeoff Problem Revisited. European Journal of Operational Research, 81,225-238.
  • de Korvin A., Kleyle R. (2000). A Fuzzy set Approach to Resource Procurement for Multi-phase Projects Subject to Flexible Budgetary Constraints. Journal of Intelligent and Fuzzy Systems, 9, 225-233.
  • Demeulemeester E.L., Herroelen W.S., Elmaghraby S.E. (1996). Optimal Procedures for the Discrete Time/cost Trade-off Problem in Project Networks. European Journal of Operational Research, 88, 50-68.
  • de Oliveira F., Volpi N.M.P., Sanquetta C.R. (2003). Goal Programming in Planning Problem. Applied Mathematics and Computation, 140, 165-178.
  • Ferrari P. (2003). A Method for Choosing from Among Alternative Transportation Projects. European Journal of Operational Research, 150, 194-203.
  • Gagnon M., d'Avignon G., Boctor F.F. (2003). Tabu Search for the Multicriteria Project Scheduling with Resource Availability Cost. Document de travail Université Laval, Quebec.
  • Goumas M.G., Lygerou V.A., Papayannakis L.E. (1999). Computational Methods for Planning and Evaluating Geothermal Energy Projects. Energy Policy, 27, 147-154.
  • Graves S.B., Rinquest J.L. (1996). Evaluating a Portfolio of R&D Investments. The Journal of High Technology Management Research, 7, 53-60.
  • Gupta U.G., Clarke R.E. (1996). Theory and Applications of the Delphi Technique: a Bibliography (1975-1994). Technological Forecasting and Social Change, 53, 185-211.
  • Haga W.A., Marold K.A. (2004). A Simulation Approach to the PERT/CPM Time-cost trade-off Problem. Project Management Journal, 35, 31-37.
  • Hapke M., Jaszkiewicz A., Słowiński R. (1998). Interactive Analysis of Multiple-criteria Project Scheduling Problems. European Journal of Operational Research, 107, 315-324.
  • Hartman F., Ashrafi R., Jergeas G. (1998). Project Management in the Live Entertainment Industry: what is Different? International Journal of Project Management, 16, 269-281.
  • Hartmann S. (2001). Project Scheduling with Multiple Modes: A Genetic Algorithm. Annals of Operations Research. 102. 111-135.
  • Jaworski K.M. (1999). Metodologia projektowania realizacji budowy. Wydawnictwo Naukowe PWN, Warszawa.
  • Kearns G.S. (2004). A Multi-objective, Multi-criteria Approach for Evaluating IT Investments: Results from two Case Studies. Information Resources Management Journal, 17.
  • Kerzner H. (2001). Project Management. A Systems Approach to Planning, Scheduling and Controlling. John Wiley & Sons, Inc. New York.
  • Lee J.W., Kim S.H. (2000). Using Analytic Network Process and Goal Programming for Independent Information System Project Selection. Computers & Operations Research, 27, 367-382.
  • Lova A., Maroto C., Tormos P. (2000). A Multi-criteria Heuristic Method to Improve Resource Allocation in Multi-project Scheduling. European Journal of Operational Research, 127, 408-424.
  • Macharis C., Springael J., De Brucker K., Verbeke A. (2004). ROMETHEE and AHP: The Design of Operational Synergies in Multi-criteria Analysis. Strengthening PROMETHEE with ideas of AHP. European Journal of Operational Research, 153, 307-317.
  • Mavrotas G., Diakoulaki D., Capros P. (2003). Combined MCDA-IP Approach for Project Selection in the Electricity Market. Annals of Operations Research, 120, 159-170.
  • Mingus N.: Zarządzanie Projektami. Helion, Gliwice 2002.
  • Pin-Yu V.C., Yeh-Liang H., Fehling M. (1996). A Decision Support System for Portfolio Selection. Computers in Industry, 23, 141-149.
  • PMI: Kompendium wiedzy o zarządzaniu projektami. (2003). PMBOK Guide 2000. Warszawa.
  • Qiu M. (1997). Prioritising and Scheduling Road Projects by Genetic Algorithm. Mathematics and Computers in Simulation, 43, 569-574.
  • Remer D.S., Nieto A.P (1995). A Compendium and Comparison of 25 Project Evaluation Techniques. Part 1. Net Present Value and Rate of Return Methods. International Journal of Production Economics, 42, 79-96.
  • Remer D.S., Nieto A.P (1995). A Compendium and Comparison of 25 Project Evaluation Techniques. Part 2: Ratio, Payback and Accounting Methods. International Journal of Production Economics, 42, 101-129.
  • Robinson S. (2002). Modes of Simulation Practice: Approaches to Business and Military Simulation. Simulation Modelling Practice and Theory, 10, 513-523.
  • Santhanam R., Kyprasis J. (1995). A Multiple Criteria Decision Model for Information System Project Selection. Computers & Operations Research, 22, 807-817.
  • Suwardy T., Ratnatunga J., Sohal A.S., Speight G. (2003). IT Projects: Evaluation , Outcomes and Impediments. Benchmarking, 10, 325-342.
  • Szwabowski J., Deszcz J. (2001). Metody wielokryterialnej analizy porównawczej. Podstawy teoretyczne i przykłady zastosowań w budownictwie. Politechnika Śląska, Gliwice.
  • Tavares L.V. (2002). A Review of the Contribution of Operational Research to Project Management. European Journal of Operational Research, 136, 1-18.
  • The Standish Group: The CHAOS Report (1994).
  • Viana A., Pinho de Sousa J. (2000). Using Metaheuristics in Multi-objective Resource Constrained Project Scheduling. European Journal of Operational Research, 120, 359-374.
  • Wang J. (2002). A Fuzzy Project Scheduling Approach to Minimize Schedule Risk for Project Development. Fuzzy Sets and Systems, 127, 99-116.
  • Wong E.T.T., Norman G., Flanagan R. (2000). A Fuzzy Stochastic Technique for Project Selection. Construction Management and Economics, 18, 407-414.
Typ dokumentu
Bibliografia
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