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Application of "Einstein's riddle" in solving construction machine allocation problems
Borna Dasović, Marko Čorak, Mario Galić, Uroš Klanšek, 2016, original scientific article

Abstract: “Einstein’s riddle” is a popular example of constraints satisfaction problem. Since its introduction, different forms and variations of the riddle have been presented. Regardless of the variant of the riddle, its solution is considered a tough challenge for humans. Researchers have developed and are still developing mathematical models, as well as computational simulation models for solving it. In this article, the authors have modified a previously published mathematical model and developed a computational spreadsheet model for solving the riddle, which provides a unique solution for the riddle. The model was also tested in a small and medium-scaled form for solving constraint satisfaction problems regarding the allocation of construction machines. The authors have also highlighted the model’s limitations for solving such problems and made suggestions regarding necessary modifications in the model to solve more complex problems in the same domain.
Keywords: Einstein's riddle, zebra riddle, construction, machine allocation, combinatorial optimization
Published in DKUM: 02.08.2017; Views: 1234; Downloads: 416
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Activity-based management of logistic costs in a manufacturing company : a case of increased visibility of logistic costs in a Slovenian paper manufacturing company
Julijana Krajnc, Klavdij Logožar, Bojana Korošec, 2012, original scientific article

Abstract: Both the transparent reporting of logistics costs and the related accounting of their cost drivers present a significant factor for the successful management of material flows and the related logistics activities in production companies. These costs, which are mainly reported as part of overhead (indirect) costs in such companies, usually remain hidden or are not explicitly visible when the traditional method of accounting is applied. The aim of this research is to create a model of activity-based accounting of logistics costs in a production company, and to test its efficiency in the disclosure of logistics costs compared with traditional cost accounting. The application of the model in a production company shows that an activity based approach discloses as much as 108% more logistics costs at the level of a group of products than the traditional cost accounting approach. Further, detailed information on logistics costs obtained in this way enables their more efficient management.
Keywords: logistic costs, activity-based costing, cost allocation, cost visibility, cost management
Published in DKUM: 31.05.2017; Views: 1522; Downloads: 301
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Strategic asset allocation for institutional portfolios with private equity
Manuel Wedra, 2017, undergraduate thesis

Abstract: It is possible to participate in the PE industry in different ways. Direct investment, co-investments, alongside specialized investors, indirect investments through limited partnership, and indirect investments through fund of funds. Big institutional investors usually make direct investments. For this approach to PE it is required to invest in a fund management team, which has an intensive relationship and due diligence skills to select the appropriate PE investments. For medium or small size investors, who do not have such high amount to invest, direct investment might not be achievable and it is recommended to invest in funds. Investing in PE funds also gives a higher level of diversification, and is managed by a specialized fund management team. From a PE backed company perspective, fund managers do not only provide capital, but also offer management support, take an active role, where they contribute their skills, network, and experience. Besides the opportunity to get exposure to unlisted PE funds with Limited Partnership, it is also possible to invest in exchange-traded PE companies or LPE. These PE investments are done either directly, indirectly or through the capital of their customers. Investments are conducted in the same way as Limited Partnerships, through various investment horizons (venture, buyout and growth) and financing styles (equity, mezzanine and debt). These exchange-traded PE companies offer the investor an immediate, liquid exposure to the PE investment class. The problem with investing in unlisted PE funds is the minimum required capital to participate in the PE investment class, which is usually too high for smaller or individual investors. It is also difficult to determine the price, which is determined on a illiquid and not transparent secondary market. While the LPE is traded on an organized exchange market, that is liquid, has transparent market prices available and the possibility to get access to the investment class even for smaller institutional or individual investors with a minimum initial investment volume. Another advantage is the capability to rebalance their PE allocation in a flexible way. From analytic perspective it is also much easier to compare LPE to other public traded asset classes using common standard analysing tools. In the analysis with the efficient frontier the portfolios with the additional asset class PE has a clear improvement of the risk, and return characteristics. Over the standard deviation range from 3.28% to 11.90%, the average improvement in return in the optimization framework is 0.48%. For big institutional, smaller or even individual investors, the LPE gives a liquid, transparent and immediate exposure to PE. In the environment of low interest rate, the PE mode is working well. If these kind conditions will continue in 2017, the asset class will continue to contribute a high absolute return and portfolio diversification.
Keywords: Private Equity, diversification, institutional and individual investors, strategic asset allocation.
Published in DKUM: 26.05.2017; Views: 1264; Downloads: 76
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Eliminating knowledge bottlenecks using fuzzy logic
Maja Zajec, Davorin Kofjač, Matjaž Roblek, 2013, original scientific article

Abstract: In the formation of new processes, innovations generated by people possessing the right knowledge and talent play a crucial role. Our starting point was the fact that every new change in processes can alter the knowledge structure of a work position or work role. This means that a person can become a knowledge bottleneck in the process. If this person is found on a critical path, the process cannot produce the output in a desired form, extent or quality, unless the bottleneck is removed. For this reason, we developed a decision model founded on fuzzy logic. The result of the fuzzy model is knowledge estimation based on deviation between the required and actual knowledge. For faster decision making, we made a presentation of allocated people on desired roles using the heat map technique. Therefore, the employers make better decisions on actual knowledge allocation, acquiring missing knowledge, or defining knowledge required for the future, which makes them more competitive.
Keywords: knowledge allocation, knowledge management, business processes
Published in DKUM: 30.12.2015; Views: 1438; Downloads: 318
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