Model for optimal project portfolio for the construction of railway infrastructure on corridors V and XAnton Hauc
, Majda Bastič
, Lidia Jurše
, Mirko Pšunder
, 2010, kratki znanstveni prispevek
Opis: The construction of railway infrastructure should be dealt with as a national strategic developmental programme, which due to technical, geographical, logistical, and other requirements is carried out through a number of projects and represents a complex multiple project operation for investors, contractors, and other influential players. The national strategic developmental programme for the construction of the railway infrastructure is connected through programmes in neighbouring countries and EU member states to Trans-European Networks (TEN) that strategically regulate construction within the community. In the Republic of Slovenia, the construction of railway infrastructure within TEN programmes is carried out on the pan-European traffic corridors V and X within individual projects for the construction of sections and a number of supporting projects. Technical requirements, deadlines, and other TEN requirements as well as national strategic requirements and financial possibilities of the state represent basic criteria that should be taken into consideration in setting up a strategic project plan, with optimal project classification achieved through the implementation project portfolio. The current article utilised the method of multiple-criteria decision analysis to prepare the portfolio, taking into account macroeconomic and infrastructural criteria. Consequently, the results represent the basis for the preparation of an optimal financial plan with regard to financing possibilities of the Republic of Slovenia and the European Union. The article also summarised the research results regarding the formation of the project implementation process of the TEN-T network construction in the Republic of Slovenia.
Ključne besede: national strategic development, railway infrastructure construction, railway corridors V and X, project portfolio, multiple-criteria decision analysis, Republic of Slovenia
Objavljeno: 05.06.2017; Ogledov: 493; Prenosov: 202
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Development of new product/process development procedure for SMEsMateja Karničar Šenk
, Peter Metlikovič
, Matjaž Maletič
, Boštjan Gomišček
, 2010, izvirni znanstveni članek
Opis: The result of our research is a developed and implemented set of activities for new process or product development (NPD procedure) for SMEs environment in the plastic processing industry, which enables the production of products and services with a high value added. The developed NPD procedure consists of five consecutive and overlapping steps: attracting orders, designing a project, developing a product, developing a process and zero production series. Each distinct step is further divided into sub-activities supported by adequate methods and managed in an information system. Investigated and included were three different methodologies use for NPD procedure in the automotive industry such as Advanced Product Quality Planning (APQP), Design for Six Sigma (DFSS) and Stage/Gate methodology. The results presented in the paper show that the developed NPD procedure significantly improved NPD in terms of cost management and time-effectiveness.
Ključne besede: quality management, new product development procedure, project management, cross-functional team, project portfolio
Objavljeno: 29.11.2017; Ogledov: 479; Prenosov: 193
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Multi-objective optimization algorithms with the island metaheuristic for effective project management problem solvingChristina Brester
, Ivan Ryzhikov
, Eugene Semenkin
, 2017, izvirni znanstveni članek
Opis: Background and Purpose: In every organization, project management raises many different decision-making problems, a large proportion of which can be efficiently solved using specific decision-making support systems. Yet such kinds of problems are always a challenge since there is no time-efficient or computationally efficient algorithm to solve them as a result of their complexity. In this study, we consider the problem of optimal financial investment. In our solution, we take into account the following organizational resource and project characteristics: profits, costs and risks.
Design/Methodology/Approach: The decision-making problem is reduced to a multi-criteria 0-1 knapsack problem. This implies that we need to find a non-dominated set of alternative solutions, which are a trade-off between maximizing incomes and minimizing risks. At the same time, alternatives must satisfy constraints. This leads to a constrained two-criterion optimization problem in the Boolean space. To cope with the peculiarities and high complexity of the problem, evolution-based algorithms with an island meta-heuristic are applied as an alternative to conventional techniques.
Results: The problem in hand was reduced to a two-criterion unconstrained extreme problem and solved with different evolution-based multi-objective optimization heuristics. Next, we applied a proposed meta-heuristic combining the particular algorithms and causing their interaction in a cooperative and collaborative way. The obtained results showed that the island heuristic outperformed the original ones based on the values of a specific metric, thus showing the representativeness of Pareto front approximations. Having more representative approximations, decision-makers have more alternative project portfolios corresponding to different risk and profit estimations. Since these criteria are conflicting, when choosing an alternative with an estimated high profit, decision-makers follow a strategy with an estimated high risk and vice versa.
Conclusion: In the present paper, the project portfolio decision-making problem was reduced to a 0-1 knapsack constrained multi-objective optimization problem. The algorithm investigation confirms that the use of the island meta-heuristic significantly improves the performance of genetic algorithms, thereby providing an efficient tool for Financial Responsibility Centres Management.
Ključne besede: 0-1 multi-objective constrained knapsack problem, project management portfolio problem, multi-objective evolution-based optimization algorithms, collaborative and cooperative meta-heuristics
Objavljeno: 04.05.2018; Ogledov: 503; Prenosov: 163
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