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Use of the Decision Table for Supporting Management Process in Mining Companies

Abstract

The article presents a proposal of use a decision table to support the decision-making process in scope of maintenance management in mining companies. In particular, it refers to decisions related to evaluation and improvement of mining machinery use in the mining production process. The article presents the theoretical foundations of decision tables building and characteristics of the most important stages of creating this table. This whole process was tried to refer specifically the mining industry. For this reason, during construction of the decision tables, the results of research on the effectiveness of the selected mining machines were used. The conducted research provided a lot of data, information and knowledge on the work of the particular mining machines, especially regarding the number and reasons for unplanned breaks during the machines’ work. The developed decision table will consist of conditions, rules and actions whose purpose is to define the recommendations for the particular groups of participants in the mining production process. The obtained results will form the basis for the development of the recommendations and proposals of actions to improve the level of use of mining machines. The authors focused mainly on the practical use of tables to support the decision-making process regarding maintenance and improvement of effectiveness of mining machines. The obtained results confirm the validity of the adopted assumptions. Decision tables can become an important tool that supports the decision-making process within mining companies.

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The Application of Business Intelligence Systems in Logistics. Review of Selected Practical Examples

Abstract

The goal of the paper is to present the application of Business Intelligence systems belonging to the area of business analytics in the domain of logistics and particularly indicate its role and meaning in supporting logistics decision making processes. Its content embraces the characteristic of BI systems, its functionality, construction and benefits resulting from its implementation. The paper also presents review of research and case studies connected to the BI usage in such areas of logistics as optimization of supply chain, managerial dashboard design and improvement of business processes.

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Decision Support Methods for Supply Processes in the Floral Industry

Abstract

The aim of this paper was to show the application of the ABC and AHP (multi-criteria method for hierarchical analysis of decision processes) as an important part of decision making in supply processes which are realized in the floral industry. The ABC analysis was performed in order to classify the product mix from the perspective of the demand values. This in consequence enabled us to identify the most important products which were then used as a variant in the AHP method.

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Multi-objective Optimization Algorithms with the Island Metaheuristic for Effective Project Management Problem Solving

Abstract

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.

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Hybridization of Stochastic Local Search and Genetic Algorithm for Human Resource Planning Management

References Babaei, M., Zahra, G., & Soudabeh, A. (2015). Challenges of Enterprise Resource Planning implementation in Iran large organizations. Information Systems, 54, 15-27, http://dx.doi.org/10.1016/j.is.2015.05.003 Borštnar Kljajić, M., Kljajić, M., Škraba, A., Kofjač, D., & Rajkovič, V. (2011). The relevance of facilitation in group decision making supported by a simulation model. System Dynamics Review, 27(3), 270-293, http://dx.doi.org/10.1002/sdr.460 Cabanillas, C., Resinas, M., del-Río-Ortega, A

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Comparative analysis of collaborative and simulation based learning in the management environment

performance. In Strategic Information Systems: Concepts, Methodologies, Tools, and Applications , Hunter MG (ed.). Hershey, PA: Information Science Reference; 1559-1572. Kljajić Borštnar, M., Kljajić, M., Škraba, A., Kofjač, D. & Rajkovič, V. (2011). The relevance of facilitation in group decision making supported by a simulation model, System Dynamics Review , 27(3), 270-293, http://dx.doi.org/10.1002/sdr.460 Kljajić Borštnar, M. (2012). Towards understanding collaborative learning in the social media environment. Organizacija , 45

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Towards Understanding Collaborative Learning in the Social Media Environment

.). Hershey, PA: Information Science Reference; 1559-1572. Kljajić Borštnar, M., Kljajić, M., Škraba, A., Kofjač, D., & Rajkovič, V. (2011). The relevance of facilitation in group decision making supported by a simulation model, System Dynamics Review , 27(3): 270-293. DOI: 10.1002/sdr.460 Kreijns, K., Kirschner, P. A. & Jochems, W. (2003). Identifying the pitfalls for social interaction in computer-supported collaborative learning environments: a review of the research. Computers in Human Behavior , 19(3), 335-353. DOI

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Impacts of the Implementation of a Project Management Information System – a Case Study of a Small R&D Company

-7863(98)00026-X Kaiser, M.G., Ahlemann, F. (2010). Measuring Project Management Information Systems Success: Towards a Conceptual Model and Survey Instrument. ECIS 2010. Kerzner, H. (2003). Project management, A systems approach to planning, scheduling and controlling . New York: John Wiley and Sons. Kljajić Borštnar, M., Kljajić, M., Škraba, A., Kofjač, D., Rajkovič, V. (2011). The relevance of facilitation in group decision making supported by a simulation model. System Dynamics Review , 27(3), 270-293, http://dx.doi.org/10.1002/sdr.460

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Organizational Learning Supported by Machine Learning Models Coupled with General Explanation Methods: A Case of B2B Sales Forecasting

. 369–381. Kljajić Borštnar, M., Kljajić, M., Škraba, A., Kofjač, D., & Rajkovič, V. (2011). The relevance of facilitation in group decision making supported by a simulation model. System Dynamics Review , 27 (3), 270–293, https://doi.org/10.1002/sdr.460 Kuchinke, K. P. (2000). The role of feedback in management training settings. Human Resource Development Quarterly , 11 (4), 381–401, http://dx.doi.org/10.1002/1532-1096(200024)11:4%3C381::AID-HRDQ5%3E3.0.CO;2-3 Lawrence, M., Goodwin, P., O’Connor, M. & Önkal, D. (2006). Judgmental forecasting

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Innovation Process Planning Model in the Bpmn Standard

Abstract

The aim of the article is to show the relations in the innovation process planning model. The relations argued here guarantee the stable and reliable way to achieve the result in the form of an increased competitiveness by a professionally directed development of the company. The manager needs to specify the effect while initiating the realisation of the process, has to be achieved this by the system of indirect goals. The original model proposed here shows the standard of dependence between the plans of the fragments of the innovation process which make up for achieving its final goal. The relation in the present article was shown by using the standard Business Process Model and Notation. This enabled the specification of interrelations between the decision levels at which subsequent fragments of the innovation process are planned. This gives the possibility of a better coordination of the process, reducing the time needed for the achievement of its effect. The model has been compiled on the basis of the practises followed in Polish companies. It is not, however, the reflection of these practises, but rather an idealised standard of proceedings which aims at improving the effectiveness of the management of innovations on the operational level. The model shown could be the basis of the creation of systems supporting the decision making, supporting the knowledge management or those supporting the communication in the innovation processes.

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