The article presents a new method of selecting operating parameters of vehicles which allows to prolong their useful life. The theoretical and practical aspects of the new approach were discussed. The key methods of optimizing the use of vehicles and their transport routes were analysed. The proposed method of selecting operating parameters of transport vehicles was based on elements of the dynamic programming model using heuristic algorithms. A model and then an algorithm and a computer program for selecting operating parameters for vehicles were developed.

Wojciechowski, Ł., & Cisowski, T. (2018). Model of a computer system for selection of operating parameters for transport vehicles in the aspect of their durability. Applied Computer Science, 14(4), 12-24. doi:10.23743/acs-2018-26

Wojciechowski, Łukasz, and Tadeusz Cisowski. "Model of a Computer System for Selection of Operating Parameters for Transport Vehicles in the Aspect of Their Durability." Applied Computer Science 14, no. 4 (2018): 12-24.

Ł. Wojciechowski and T. Cisowski, "Model of a computer system for selection of operating parameters for transport vehicles in the aspect of their durability," Applied Computer Science, vol. 14, no. 4, pp. 12-24, 2018.

Wojciechowski Ł, Cisowski T. Model of a computer system for selection of operating parameters for transport vehicles in the aspect of their durability. Applied Computer Science. 2018;14(4):12-24.

In the paper a numerical comparative analysis of stresses in a steel die compressed by a ring during the extrusion process was presented. In the research, three design solutions of the die were used. The solutions vary depending on the quotient of the wall thickness of the die insert and the wall thickness of the compression ring while maintaining a constant tool diameter. The stresses occurring in the areas of the ring and the die were calculated depending on the design version of the tool and the pressure value. The analysis was carried out for the quotients of the die wall thickness to the ring wall thickness of 0.57, 1 and 1.75 and three press-in values of 0.004, 0.008 and 0.016 mm. The conducted research allowed determining the impact of the die design and assembly interference on the load bearing capacity. It was discovered that the use of a die insert with a smaller thickness compared to the thickness of the compression ring was the most advantageous from the point of view of the circumferential stresses.

Nowotyńska, I., & Kut, S. (2018). Comparative analysis of the impact of die design on its load and distribution of stress during extrusion. Applied Computer Science, 14(4), 25-33. doi:10.23743/acs-2018-27

Nowotyńska, Irena, and Stanisław Kut. "Comparative Analysis of the Impact of Die Design on Its Load and Distribution of Stress During Extrusion." Applied Computer Science 14, no. 4 (2018): 25-33.

I. Nowotyńska and S. Kut, "Comparative analysis of the impact of die design on its load and distribution of stress during extrusion," Applied Computer Science, vol. 14, no. 4, pp. 25-33, 2018.

Nowotyńska I, Kut S. Comparative analysis of the impact of die design on its load and distribution of stress during extrusion. Applied Computer Science. 2018;14(4):25-33.

The focus of this paper are experimental and numerical strength tests of domestic hot water storage tanks. The tests involved the verification of the minimum wall thickness for the assumed operating parameters while meeting all safety standards. The authors presented numerical and experimental analyses for the verification of strength parameters of axial cylindrical tanks due to the lack of methodological guidelines for this type of equipment. In order to verify the conducted theoretical considerations and calculations, experimental tests of samples of front welds produced with austenitic steel as well as a pressure test for the whole tank were conducted using a research test stand.

Bałon, P., Rejman, E., Kiełbasa, B., Szostak, J., & Smusz, R. (2018). Numerical and experimental analysis of the strength of tanks dedicated to hot utility water. Applied Computer Science, 14(4), 34-53. doi:10.23743/acs-2018-28

Bałon, Paweł, Edward Rejman, Bartłomiej Kiełbasa, Janusz Szostak, and Robert Smusz. "Numerical and Experimental Analysis of the Strength of Tanks Dedicated to Hot Utility Water." Applied Computer Science 14, no. 4 (2018): 34-53.

P. Bałon, E. Rejman, B. Kiełbasa, J. Szostak, and R. Smusz, "Numerical and experimental analysis of the strength of tanks dedicated to hot utility water," Applied Computer Science, vol. 14, no. 4, pp. 34-53, 2018.

Bałon P, Rejman E, Kiełbasa B, Szostak J, Smusz R. Numerical and experimental analysis of the strength of tanks dedicated to hot utility water. Applied Computer Science. 2018;14(4):34-53.

In this article a new method of identification of a backlash zone width in a structure of an electromechanical system has been presented. The results of many simulations in a tested model of a complex electromechanical system have been taken while changing a value of a reduced masses inertia moment on a shaft of an induction motor drive. A wavelet analysis of tested signals and analysis of weights that have been obtained during a neural network supervised learning - have been applied in a diagnostic algorithm. The proposed algorithm of detection of backlash zone width, represents effective diagnostic method of a system at changing dynamic conditions, occurring also as a result of mass inertia moment changes.

Tomczyk, M., Borowik, B., & Mikulski, M. (2018). Identification of a backlash zone in an electromechanical system containing changes of a mass inertia moment based on a wavelet–neural method. Applied Computer Science, 14(4), 54-69. doi:10.23743/acs-2018-29

Tomczyk, Marcin, Barbara Borowik, and Mariusz Mikulski. "Identification of a Backlash Zone in an Electromechanical System Containing Changes of a Mass Inertia Moment Based on a Wavelet–Neural Method." Applied Computer Science 14, no. 4 (2018): 54-69.

M. Tomczyk, B. Borowik, and M. Mikulski, "Identification of a backlash zone in an electromechanical system containing changes of a mass inertia moment based on a wavelet–neural method," Applied Computer Science, vol. 14, no. 4, pp. 54-69, 2018.

Tomczyk M, Borowik B, Mikulski M. Identification of a backlash zone in an electromechanical system containing changes of a mass inertia moment based on a wavelet–neural method. Applied Computer Science. 2018;14(4):54-69.

of which will allow the level of automation of a maintenance department to be forecast, depending on the effectivity of the use of the Manufacturing Executions System (MES) within a company. The model was built on the basis of the actual times of business processes completed which were supported by MES in the maintenance departments of two manufacturing enterprises using artificial neural network. As a result of research experiments, it was confirmed that the longer the time taken to complete business processes supported by MES, the higher is the degree of automation in a maintenance department.

Halikowski, D., Patalas-Maliszewska, J., & Skrzeszewska, M. (2018). A model for assessing the level of automation of a maintenance department using artificial neural network. Applied Computer Science, 14(4), 70-80. doi:10.23743/acs-2018-30

Halikowski, Daniel, Justyna Patalas-Maliszewska, and Małgorzata Skrzeszewska. "A Model for Assessing the Level of Automation of a Maintenance Department Using Artificial Neural Network." Applied Computer Science 14, no. 4 (2018): 70-80.

D. Halikowski, J. Patalas-Maliszewska, and M. Skrzeszewska, "A model for assessing the level of automation of a maintenance department using artificial neural network," Applied Computer Science, vol. 14, no. 4, pp. 70-80, 2018.

Halikowski D, Patalas-Maliszewska J, Skrzeszewska M. A model for assessing the level of automation of a maintenance department using artificial neural network. Applied Computer Science. 2018;14(4):70-80.

Modern businesses boost management by implementing integrated IT systems, such as highly popular in Poland – SAP software, to aid the enterprise resource planning (ERP). This paper evaluates the implementation of an ERP system at a steel wheel rims manufacturer and distributor. The main research method was questionnaire, conducted at the Logistics & Customer Service department. The data acquired from the conducted research were analysed and processed to evaluate the implemented solution. Areas for improvement were pinpointed and concerned the adjustment of the software solution to the needs of the enterprise.

Kulisz, M. (2018). Evaluation of SAP system implementation in an enterprise of the automotive industry – case study. Applied Computer Science, 14(4), 81-92. doi:10.23743/acs-2018-31

Kulisz, Monika. "Evaluation of Sap System Implementation in an Enterprise of the Automotive Industry – Case Study." Applied Computer Science 14, no. 4 (2018): 81-92.

M. Kulisz, "Evaluation of SAP system implementation in an enterprise of the automotive industry – case study," Applied Computer Science, vol. 14, no. 4, pp. 81-92, 2018.

Kulisz M. Evaluation of SAP system implementation in an enterprise of the automotive industry – case study. Applied Computer Science. 2018;14(4):81-92.

Manual data transformations that result in high error rates are a big problem in complex integration and data warehouse projects, resulting in poor quality of data and delays in deployment to production. Automation of data transformations can be easily verified by humans; the ability to learn from past decisions allows the creation of metadata that can be leveraged in future mappings. Significant improvement of the quality of data transformations can be achieved, when at least one of the models used in transformation is already analyzed and understood. Over recent decades, particular industries have defined data models that are widely adopted in commercial and open source solutions. Those models (often industry standards, accepted by ISO or other organizations) can be leveraged to increase reuse in integration projects resulting in a) lower project costs and b) faster delivery to production. The goal of this article is to provide a comprehensive review of the practical applications of standardization of data formats. Using use cases from the Financial Services Industry as examples, the author tries to identify the motivations and common elements of particular data formats, and how they can be leveraged in order to automate process of data transformations between the models.

Jaskierny, L. (2018). Review of the data modeling standards and data model transformation techniques. Applied Computer Science, 14(4), 93-108. doi:10.23743/acs-2018-32

Jaskierny, Leszek. "Review of the Data Modeling Standards and Data Model Transformation Techniques." Applied Computer Science 14, no. 4 (2018): 93-108.

L. Jaskierny, "Review of the data modeling standards and data model transformation techniques," Applied Computer Science, vol. 14, no. 4, pp. 93-108, 2018.

Jaskierny L. Review of the data modeling standards and data model transformation techniques. Applied Computer Science. 2018;14(4):93-108.