OpisEmployee satisfaction is one of the main indicators of attitudes assessment in organizations and is one of the factors which can be used to assess the status of an organization. This is important because of the role that this construct plays in improvement of the organization and the workforce. Organizationally, a high level of job satisfaction reflects a highly desirable organizational climate which leads to recruitment and retention of employees and increases efficiency and effectiveness. Accordingly, this study tended to identify and prioritize employee satisfaction strategies in Tehran's Regional Water Company using analytic hierarchy process (AHP). The data was analyzed using AHP method by Expert Choice software. The statistical population included 16 experts in human sciences and in management science working in the Tehran Regional Water Company. Due to the limited number of statistical population, sampling was not used and census method was used; that is, all people in the statistical population participated in the study. Prioritization of the criteria showed that organizational strategies are the most important, followed by organizational policies and organizational achievements. Sub-criteria of these criteria were also prioritized.
OpisThe aim of the study was to explore various issues related to the introduction and use of ICT in primary schools in eastern and central Croatia from the viewpoint of informatics teachers. A total of 232 respondents participated in the survey. Both descriptive and inferential statistics were applied in data analysis. The results indicate that the equipment in computer classrooms is only partially satisfactory. LCD projectors and multimedia computers are mostly used in teaching informatics. The research also revealed that teachers are aware of the importance of ICT implementation in classrooms. However, they are less satisfied with the professional development opportunities. Their responses also suggest that they are ready to participate in the curriculum development process, undertake continuing education, and focus on pupils and their learning. In addition, the analysis showed that teachers, regardless of their background characteristics, share similar views. So far, the issues discussed in this paper have only been superficially examined. The present study expands previous research by providing insight into the practice and attitudes of informatics teachers in Croatian primary schools.
OpisThe determination of tolerances has a huge impact on the price and quality of products. The objective of tolerance analysis is to provide the widest possible tolerance range of parts, without disturbing the functionality of the assembly. Tolerance analysis should be performed during the design process because then there is still the possibility for change. For the purpose of carrying out the analysis, three methods will be used: Worst Case method, Root Sum Square method and Monte Carlo Simulation. Methods are explained through simple examples and applied on the one-way clutch.
OpisConsidering its importance for vital activities, water and particularly drinking water should be clean and should not contain disease-causing bacteria. One of the pathogenic bacteria found in water is the bacterium Escherichia coli (E. coli). In the commonly used method for the detection of E. coli bacteria, the bacteria samples distilled from the water sample are seeded in endo agar medium and the change in the color of the medium as a result of the metabolic activities of the bacteria is examined with the naked eye. This color change can be seen with the human eye in approximately 22 ± 2 hours. In this study, a new bacteria detection scheme is proposed – using deep learning to detect E. coli bacteria both in shorter time and in practical way. The proposed technique is tested with experimentally collected data. Results show that the detection of bacteria can be done automatically within 6-10 hours with the proposed method.
OpisNowadays, production companies are facing an increasingly volatile environment. Due to increasing globalization, but also de-globalization, taking into consideration an internal production network is becoming more and more important for companies, all in order to be able to counteract in an agile way the uncertainties such as swings in the demand. Current production network planning procedures focus on (re-)locating decisions without delving into what happens inside the plants, neglecting the dynamics of production networks, following a rigid top-down approach during the configuration phase, and they do not integrate the effects of planning tasks at the factory level (tactical and operational planning). In order to be able to make strategic decisions with a well-founded database regarding the production network, the effects on the tactical and operational level must be considered in an iterative way during the strategic decision-making process. The aim of this research is to define the requirements for an approach to strategic production network planning, which considers the effects at the tactical and operational level in an iterative way, and to develop a process model, derived from the requirements, that in its five phases considers the deficiencies of the existing approaches.
NaslovA model for the designing of multimodal transport processes and the concept of its integration with the EPLOS system / Mariusz Wasiak, Paweł Leleń, Michał Kłodawski, Mariusz Izdebski, Ilona Jacyna-Gołda.
OpisThe paper proposes a new single criterion mathematical model for the designing of multimodal transport processes by taking into account the cargo’s susceptibility and the concept of its inclusion into the EPLOS system, which is done as part of the EUREKA initiative. This system will integrate the data from logistics sources and transport and logistics infrastructure from many sources. In the first phase of its implementation, it will cover the Czech Republic, Poland, and the Baltic States. Using the EPLOS system integrating data from various sources needed to solve this problem is a proposal to overcome the main barrier to the effective planning of multimodal transport processes – a lack of reliable information.
OpisRising complexity in industrial asset and maintenance management due to more volatile business environments and megatrends like Industry 4.0 has led to the need for a new perspective on these management domains. The Lean Smart Maintenance (LSM) philosophy, which focuses on both the efficient (lean) and the learning (smart) organization was introduced during the past few years, and a corresponding maturity model (MM) has been developed to guide organizations on their way to asset and maintenance excellence. This paper discusses use cases, in which the usability and the generic aspect of the LSM MM are validated by using data from three different asset management assessment projects in organizations with different types of production. Research results show that the LSM MM can be used as a basis for management system improvement, independent of production types such as one-of-a-kind industry, mass production and continuous production.
OpisThe field of Augmented Reality (AR) has received increasing attention in recent years, as AR can be applied to a wide range of problems. The use of AR offers great potential, especially in the industrial sector. Among many applications in this area, one promising application is the augmentation of cognitive assistance systems. Much research has already been done on the development of augmented support systems but it is still lacking on how to transform existing assistance systems into an AR application. This paper focuses on this transformation and presents a process model that intends to support the migration or digitalization of existing support systems into an AR application. An experimental study validates the proposed approach and derives recommendations for action.
OpisData center industry is growing rapidly due to the expanding internet traffic and the upcoming IoT revolution. Data centers consume vast amounts of energy globally and are also a significant source of greenhouse gas emissions. There is a need to improve energy efficiency and sustainability of data center operations. The energy consumed by data centers is mostly converted to heat and this study focuses on utilizing that waste heat according to the principles of circular economy in the context of Northern Ostrobothnia, Finland. The overall regional business potential of data center waste heat utilization is evaluated and the best options of utilizing waste heat in case data center are sought. The study found that the most viable option would be utilizing waste heat locally to heat facilities or in industrial processes. Another potential option is to connect data center into a district heating system where waste heat can be fed.
OpisSustainable development and sustainable transport are becoming of higher and higher importance. A scientific approach to sustainable development analysis means, first of all, identification of relevant indicators. Based on literature review and regional professionals’ view, a total of 90 indicators have been chosen. They have been structured in five hierarchic levels. A total of five personal transport means alternatives have been analyzed in the research. The AHP method of analysis has been employed in which 75 professionals from the Western Balkan countries have filled appropriate questionnaire. The research presents their opinion about the capacity of each of the alternatives to contribute to the sustainable transport in the region, but also puts a light on perception of the professionals on importance of chosen indicators. The results of this research could be used for further research and could also help to decision making levels regarding sustainable transport and sustainable development.