MODELLING QUALITY ASSESSMENT OF THE SUPPLY CHAINS

The article presents how to use methods and tools in the area of quality engineering to assess the supply chain, having the example of the food industry. It outlines the regulatory requirements and standardization documents for the transport of dairy products. Using a questionnaire conducted it selects criteria that were directly used to assess the quality of the supply chain (network). Then, using the Pareto-Lorenz diagram the most important criteria were selected, which were also used in the study

Modeling Quality Assessment of the Supply Chains

The article presents how to use methods and tools in the area of quality engineering to assess the supply chain, having the example of the food industry. It outlines the regulatory requirements and standardization documents for the transport of dairy products. Using a questionnaire conducted it selects criteria that were directly used to assess the quality of the supply chain (network). Then, using the Pareto-Lorenz diagram the most important criteria were selected, which were also used in the study

Fuzzy method of driver selection for realization of transport tasks

Wzrost zapotrzebowania na usługi transportowe wymusza na przedsiębiorstwach transportowych konieczność stosowania nowoczesnych rozwiązań. A zatem firmy oprogramowania umożliwiające śledzenie oraz kontrolę nad przewożonym ładunkiem, powinny w pełni wykorzystywać ich możliwości. Dokonując analizy i oceny parametrów jazdy można uzyskać oszczędności związane ze zmniejszeniem kosztów transportu. Pozwoli to także na zwiększenie użyteczności pojazdów, która przyczynia się do efektywnego zarządzania flotą transportową. W artykule przedstawiono analizę przedsiębiorstwa zajmującego się transportem materiałów sypkich. Na podstawie zgromadzonych danych przedstawiono autorki rozmyty model Takagi-Sugeno oceny i wyboru realizatora zadań transportowych.The increase in the demand for transport services forces transport companies to use modern solutions. Using software that enables tracking and control of the transported cargo, companies should make full use of their capabilities. By analyzing and assessing the driving parameters, they will allow them to save on transport costs. It will also allow to increase the usability of vehicles, which contributes to increasing the effective management of the transport fleet. The article presents an analysis of an enterprise dealing with the transport of loose materials. Based on the collected data, the author's Takagi-Sugeno fuzzy model was presented to assess and select the performer of transport tasks

Evaluation of light commercial vehicles operation process in a transport company using the regression modelling method

This paper presents an analysis of the results of daily observations from the execution of transport orders by three types of vehicles over a period of 2 years. The purpose of the research was to evaluate the operation process and determine the influence of important technical and operational variables on the economic efficiency of the operation process. A set of 7 quantitative variables, previously not considered in the evaluation of the commercial vehicle operation process, was subjected to statistical data analysis. An indicator analysis and evaluation of the intensity of use of the following types of vehicles was conducted: Renault Master, Fiat Ducato and Citroen Jumper. Based on the results of the research, the vehicle with the highest efficiency was determined and possible assumptions of the strategy applied in the company were indicated. The analysis and evaluation of vehicle efficiency gave rise to the identification of independent variables determining the company's income. Using the indicator method and the multivariate regression model, transport companies can evaluate the efficiency of transport tasks undertaken

The Forecast of the Number of Soldiers in the Saudi Arabian Army in Terms of Military Security

The study concerns forecasting the number of soldiers in the Saudi Arabian army based on information obtained from the website: https://data.worldbank.org (The World Bank, 9.03.2020). The research began with a comparative analysis of the number of soldiers in the armies of Saudi Arabia and Russia. The idea for a comparative analysis of the number of armies of Saudi Arabia and the Russian Federation arises from Russian policy in the region of the Middle East countries, including the impact on world oil prices. The comparative analysis showed the similarities and differences in the dynamics of changes in the number of both armies dynamically. Subsequently, the primary time series data analysis on the number of Saudi Arabian troops was performed. The study selected methods for predicting raw data: Holt’s exponential smoothing and Klein’s model for the future. The next stage of the research was forecasting and the analysis and evaluation of the obtained forecasts. Klein’s model was the best forecasting model. The forecast of the number of soldiers in the Saudi Arabian army for 2020 is 251454, and for 2021, it has increased to 251006. The study ends with a summary and conclusions