Efficient Collection Methodology of Projects Balance Strategy Using Software tools in Decision making
Resumen
The improved decision making approach to project selection development by using optimized software tools is present in this paper. The literature exposed a space formed along with lack of establish approach and normati- ve model to develop the selection has reviewed. To connect this space, the topical information and offers techniques for decision making by choice of more suitable project selection is achieved by this works. These techniques could be implemented by using software tools in project selection with some constraints considerations and conformity with commercial policy. The formulation of collection optimization and configuration which reproduce all keys parameters in the used strategy could be founded to success the under hand project. Furthermore, the SMEs environments techniques have been used to implement the suggested method with one case study confir- mation feasibility of this advance. The results show that the effectiveness of selection techniques and methodology for project collection has optimized which increase the corporation presentation and saver price. Thus, the utilize of software with right admission to information collection and processing permits administrator to make enhanced decisions for efficient resource.Citas
Aaltonen, P. Co-selection in R&D Project Portfolio Management: Theory and Evidence, Helsinki University of Technology, Department of Industrial Engineering and Management, Espoo, Finland, 2010
Aas, T. H., Breunig, K. J., & Hydle, K. M., Exploring New Service Portfo- lio Management. International Journal of Innovation Management, 21(7), 1-31, 2017
Aritua, B., Smith, N. J., & Bower, D. A., Construction client multi-projects – A complex adaptive systems perspective. International Journal of Project Management, 27(1), 72-79, 2009
Brester, C., Ryzhikov, I., & Semenkin, E., Multi-objective Optimization Algorithms with the Island Metaheuristic for Effective Project Management Problem Solving. Organizacija, 50(4), 364-373, 2017
Christiansen, J. K., & Varnes, C., From models to practice: decision making at portfolio meetings. International Journal of Quality and Reliability Management, 25(1), 87-101, 2008
Creswell, J. W., Qualitative Inquiry and Research Design: Choosing among Five Approaches (2nd ed.). Thousand Oaks, CA:Sage, 2007
Fotr, J., & Hnilica, J., Aplikovaná analýza rizika ve fi nančním manage- ment a investičním rozhodování (2nd ed.). Praha: Grada Publishing, 2014
Fotr, J., Vacík, E., Špaček, M., & Souček, I. (2015). Scenarios, their concept, elaboration and application. Baltic Journal of Management, 10(1), 73-97, 2015
Joubert, F. J., & Pretorius, L., Using Monte Carlo Simulation to Create a Ranked Check List of Risks in a Portfolio of Railway Construction Projects. South African Journal of Industrial Engineering, 28(2), 133-148, 2017
Kock, A., & Gemünden, H. G., Antecedents to Decision-Making Quality and Agility in Innovation Portfolio Management. Journal of Product Innova- tion Management, 33(6), 670-686, 2016
Korotin, V., Popov, V., Tolokonsky, A., Islamov, R., & Ulchenkov, A., A multicriteria approach to selecting an optimal portfolio of refi nery upgrade projects under margin and tax regime uncertainty. Omega, 72, 50-58, 2017
Martinsuo, M., Project portfolio management in practice and in context. International Journal of Project Management, 31, 794-803, 2013
Mohagheghi, V., Mousavi, S. M., & Vahdani, B., A New Optimization Model for Project Portfolio Selection under Interval-Valued Fuzzy Environ- ment. Arabian Journal for Science and Engineering, 40(11), 3351-3361, 2015
Mohagheghi, V., Mousavi, S. M., Vahdani, B., & Shahriari, M. R., R&D project evaluation and project portfolio selection by a new interval type-2fuzzy optimization approach. Neural Computing & Applications, 28(12), 3869-3888, 2017
Pérez, O. R., Watts, D., & Flores, Y., Planning in a changing environment: Applications of portfolio optimisation to deal with risk in the electricity sector. Renewable & Sustainable Energy Reviews, 82(3), 3808-3823, 2018
PMBOK, Project Management Institute, A Guide to the Project Manage- ment Body of Knowledge (5th ed.). PRINCE2. (2017). Managing Successful Projects with PRINCE2® (1st ed.). Second Impression, AXELOS, 2013
Qiang, M., Research on the Construction of Energy Project Portfolio Management Process System. Agro Food Industry Hi-Tech, 28(3), 249-253, 2017
Shah, R., & Jammalamadaka, P. R., Optimal Portfolio Strategy for Risk Management in Toll Road Forecasts and Investments. Transportation Research Record: Journal of the Transportation Research Board, 2670, 83-94, 2017
Vacík, E., & Kracík, L., Multiprojektování a priorizace projektů v inova- tivních podnicích. Ekonomický časopis, 63(1), 72-94, 2015
Verbano, C., & Nosella, A., Addressing R&D investment decisions: a cross analysis of R&D project selection methods. European Journal of Innova- tion Management, 13(3), 355-379, 2010
Maheepala, S., Marchi, A., & Mirza, F., Identifi cation of Optimal Water Supply Portfolios for a Major City. Journal of Water Resources Planning and Management, 143(9), 2017
Xu, W., Liu, G., Li, H., & Luo, W., A Study on Project Portfolio Models with Skewness Risk and Staffi ng. International Journal of Fuzzy Systems, 19(6), 2033-2047, 2017
