This paper presents the use of multi-criteria decision-making (MCDM) for the evaluation of smart cities. During the development of the method, the importance of the decision-making approach in the linear ordering of cities was presented. The method of using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) was proposed for the preparation of ranking. The method was verified by the application in the measurement of energy performance in smart cities. The authors conducted a literature review of research papers related to urban energy and MCDM published in the period from 2010 to 2020. The paper uses data from the World Council on City Data (WCCD). The research conducted allowed for the identification of the most popular MCDM techniques in the field of urban energy such as TOPSIS, AHP and DEA. The TOPSIS technique was used to organize and group the analyzed cities. Porto took the top position, whereas Buenos Aries was the last.

Dynamic transitions in the enterprise surroundings, including constant moving the traditional market towards the market space available on the Internet and development of new information technologies offer new opportunities for creation and implementation of business projects termed e-entrepreneurship. One factor that stimulates e-entrepreneurship is innovations. This study aims to present the role of selected models of open innovations in e-entrepreneurship processes. It was emphasized that customers play an essential role in creating innovations. Moreover, the study verified the hypothesis that companies are increasingly committed to implementation of e-entrepreneurial processes, thus strengthening their position in the virtual market

Modern mobility and adaptation of transport and communication systems to the requirements of the inhabitants are both inseparable elements of the developed concept of smart cities. One of the important stages in the implementation of this concept is the planning stage, taking into account the complexity and a large number of determinants that impact the effectiveness of decisions related to the planning of transport, communication and logistic systems. The purpose of the article is to lay out a model of a system based on the integration of selected Internet of Things tools used in smart cities to support urban development planning processes in the scope of the ongoing modification of transport, public communication and logistic systems. The model was developed on the basis of the cooperation between the authors and the boards of selected cities’ observations made during the authors’ travels and on the basis of identification and analysis of IT systems types and ICT (Information and Communication Technologies) tools in use within the smart city concept. The need to integrate IoT tools in support of the smart city concept resulted from the synthesis of previous research experience and the existing gap between the capabilities and the scope of applications of the tools in discussion. The results of the analysis allowed to develop a procedure that in an automated way allows to improve the communication, transport and logistics order in the area of interested cities.

The article presents the results of analysis, the use of continuous flow of logic at the stage of production planning and control of the company producing furniture. The concept of continuous flow tends to regulate the flow of materials in a manner that provides the shortest flow path without unnecessary activities (Muda is a Japanese word meaning waste), a constant takt and defined throughput at constant resource requirements for the so-called transfer of material through the whole process. In the study Glenday’d sieve method was used to identify the correct area, which requires the value stream mapping, and areas called excessive complexity, which do not provide added value. The use of Glenday’s sieve method made it possible to identify areas in which it must be improve production capacity

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