Papers by Keyword: Decision Making

Abstract: This paper uses the Analytic Hierarchy Process to optimize the PESTEL analysis. The scenario: pre-construction and assembly factors of huge civil engineering construction projects. Several managers use too many criteria to evaluate large projects. It suggests that there may be few important criteria that summarize the manager's preference. To demonstrate the feasibility of the proposed hypothesis, the authors prepared a qualitative and exploratory study. Conclusions are based on the judgment of an expert interviewed. As expected, the hypothesis was considered plausible. Two main criteria corresponded to 71% of the expert's preference. The result resembles a Pareto distribution.

Abstract: In this paper several optimization strategies for decision making in presence of uncertainties and discreet number of alternatives are considered. A new optimization criterion is proposed and applied for all strategies. In order to illustrate the decision making process, assembly of a mechanical device – hydraulic gear pump is investigated. All optimization strategies are applied, evaluated, compared and analyzed for it before a final decision regarding the technology selection is reached. As a main optimization criterion it is proposed to be used minimum combined cost of the required labor and necessary equipment. In this case study the uncertain parameters are: volume of production and margin of the salaries. The goal is to improve on working conditions and to consider the number of employs. This is done in according to the social trends of the strategy "Europe 2020".

Abstract: Resource and energy efficiency of production facilities is a crucial competitive factor for industry. Due to increasing cost pressure and competition on the market, identifying and unleashing energy saving potentials as well as avoiding inefficiency is inevitable. However, for investment policy, the increase of energy efficiency is not always given highest priority. In this study we consider industry’s investment behavior for energy efficiency in relation to alternative production factors. For this purpose, this paper analyzes potential optimization issues and criteria that are taken into consideration for the decision making process for investments.

Abstract: The paper presents a decision making support system for choosing an optimal variant of technical products. The problem is formulated and its characteristic features outlined. The decision making support system implements various approbated methods for solving the formulated problem. Its capabilities are extended with an advanced algorithm, based on ant colony optimization, and integrated as a program module in the decision making support system. An example problem is solved, showing some of the capabilities of the system, and the integrated algorithm.

Abstract: The algorithm for automated formation of alternatives in geological and engineering operation planning is developed. The algorithm is based on method of the Weighted k-Nearest Neighbours and tested on data of Tomskneft company.

Abstract: Paper presents method of obstacle avoidance used in the example of unmanned underwater vehicle. The solution of this problem is divided into stage of: obstacle detecting and shape determination, decision making and control signal generation. The process to avoid an obstacle is presented as iterative model of behavior of dynamic system based on an array of discrete transitions between the successive states in accordance with accepted principles. The obstacle shape is determined basis on its histogram both in the horizontal as well as vertical plane of observation. Every stage of process of obstacle avoidance is described in details and both mathematically as well as by figures documented. At the end there are presented chosen results of simulation research which verify proposed solution.

Abstract: Efficient operation and maintenance processes are important factors to reduce the operating costs of industrial facilities and components. Therefore, both research and industry developed maintenance strategies ranging from fixed time intervals to condition-based activities. However, due to unpredictable events, disturbances and unknown processing times for maintenance activities, many strategies do not meet the requirements of real-world industrial systems. In this paper, a new data-driven concept is presented where data analysis is used to support the dynamic adjustments of maintenance intervals. An overall strategy is developed in which the analysis of data is an integral part for standard maintenance processes, considering their particular workflow and their constraints. The analysed data come from different systems such as Enterprise Resource Planning, Condition Monitoring Systems, and internal service logs of the components or from maintenance activities. The concept encompasses the aligned application of different methods for aggregating these data and for predicting the component’s condition and its remaining useful life. In particular, it is exemplarily shown how the Weibull distribution, the Wiener process, and neural networks are combined to support decisions regarding the dynamic adjustment of the maintenance intervals in industrial facilities. This leads to a better utilisation of components, avoids failures and breakdowns and saves cost. The capability and applicability of these methods is illustrated by applying them to generators of an offshore wind farm.

Abstract: It used GIS approach to manage the distribution network, and it has a comprehensive analysis in the distribution network management system. It provide the distribution of professional management decision analysis that can greatly facilitate the management of the distribution network of various types of data, while the planning and management process more direct and interactive. This paper describes the application of GIS in Distribution Network.

Abstract: Security alarm algorithm is the key technology in the application of automotive active collision avoidance system, both at home and abroad are in-depth study. The main basis for security alarm is the distance between vehicles, when the distance between the two vehicles arrive at certain critical range, the alarm system will alarm, to remind the driver brake or deceleration. This paper mainly introduces the safety distance between vehicles of the problem, based on the research at home and abroad, is improved to make it more in line with the real traffic environment on the existing model.