Azam Keshavarz Hadadha; Zahra Jalili Bal; Siamak Haji Yakhchali
Abstract
Project Portfolio Selection is one of the strategic decisions on the level of management in project-oriented organizations; which is one of the most important and effective stages in project portfolio management. In other words, after identification and evaluation of different projects, optimal combination ...
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Project Portfolio Selection is one of the strategic decisions on the level of management in project-oriented organizations; which is one of the most important and effective stages in project portfolio management. In other words, after identification and evaluation of different projects, optimal combination of projects must be selected based on different criteria. Since commonly resources of organizations are less than required resources on projects that are ahead of the organization; so project selection among different project portfolio and decision making about these issues are inevitable in organizations. So durability of organizations depends closely on the way of modeling and used approaches for project selection problem. In previous researches related to project selection problem, generally the problem of project clustering have not deeply been considered while project clustering may allow that projects to reach the highest return. In this article, we will propose a model for clustering, evaluating and selecting projects. At first projects will be clustered in various portfolios by K-MEANS algorithm, then projects of each portfolio will be evaluated and prioritized with analytical network process (ANP). Finally, projects from each portfolio will be selected based on knapsack problem
Habibollah Salarzehi; Jasem Dejkam
Volume 9, Issue 24 , March 2012, , Pages 115-139
Abstract
Industrial clustering is of a great importance in almost every country throughout the world nowadays. In Iran, accordingly, there has been an increase in the tendency towards industrial clustering in the scientific and decision-making centers as well as the country’s development programs. The unavoidable ...
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Industrial clustering is of a great importance in almost every country throughout the world nowadays. In Iran, accordingly, there has been an increase in the tendency towards industrial clustering in the scientific and decision-making centers as well as the country’s development programs. The unavoidable competitive necessity is the most important issue in clustering and cluster-related policies. In fact, competitiveness is the thermometer of assessing and measuring the success of clustering. The study is devoted to review of literature under “competitiveness”. Next, industrial clusters and competitiveness assessment models in clusters is brought under deeper consideration. Later, Chabahar Fishery’s industrial cluster in the GEM model framework along with its factors used for identifying influential factors in the competitiveness of industrial clusters reviewed is introduced. GEM model is reviewed and applied to identify the important factors on competitiveness in Chabahar Fishery’s industrial cluster. Due to the large number of factors involved, factor prioritization questionnaire s were provided and passed out among experts of the Chabahar Fishery’s Industrial Cluster. Then influential factors were identified and since some of the factors were interrelated, the relative importance of these influential factors was investigated using ANP technique. Here, the prioritization of these factors was done by Super Decision software and in the end based on the acquired results, there have been proposed some strategies for the purpose of increasing competitiveness in Chabahar Fishery’s industrial cluster.
