Sanja Stanisavljev

Stohastic Model to Determine the Elements of the Production Cycle Time: Case of Serbian Textile Industry

The paper presents an original method of determining the elements of the production cycle time by using the modified work sampling method applied to a textile factory. It is shown that the movement of the elements of time can be viewed as a process and in the mathematical sense can establish control limits of error of ± 3 SD. The mean time of the production cycle of the groups created by the number of pieces in the series – tpcu moving the hyperbolic function, which has the asymptote c, a function of the form tpcu = c + b/log n, where all groups of the production cycle in the mathematical sense do not act like strata but are function tpcu related to technology and deterministic factors of the production series.

Examples of Raspberry Pi usage in Internet of Things

Very fast expansion of Internet of Things gives a challenge for the educators in finding tools for efficient teaching Internet of Things (IoT) and related technologies. The growth of the development boards market, which is evident in past few years, gives a number of opportunities and choices. This paper gives the short overview of part of the available platforms together with their main characteristics. Paper explores the applicability of Raspberry Pi development board or single board computer for teaching IoT technologies and environments. Goal of this research is to find and propose low-cost, efficient and flexible platform which can help in introducing the IoT paradigm in teaching process, as well as to be good enough to be used in classroom for lab exercises or for student projects. The detailed configuration of Raspberry Pi and the whole environment is given in this paper.

Reduction of production cycle time by optimising production and non-production components of time in the metalworking industry : a case study

The production cycle (PC) time, as a very important economic indicator of freezing current assets, involves the time needed to manufacture a unit or a series of units, from putting them into production until they are put into storage; and yet it is rarely discussed in the literature, even though it should be also analysed and be made as short as possible. The goal of this article is to survey and control the methodology of reducing the PC time of components in the metalworking industry, grouped by factor analysis into the factors of production and non-production components, observed by a modified method of current observations, and viewed as a process whose effectiveness was monitored using control charts. The survey is based on data collected through 1,576 observations in a Serbian company that manufactures electrical and electronic equipment for motor vehicles. The 2012 results, when compared with those of 2011, indicate that the PC time is significantly reduced by 93 minutes, or by 28.53 per cent, and the manufacturing time by 46 minutes, or by 19.17 per cent. The results furnish empirical findings that provide insights into a number of managerial issues concerning investment decisions in product-specific cycle time improvements and reductions, together with process redesigns.

Impact of the Educational Attainment of the Knowledge Management Process in Serbian Textile Enterprises

This paper emphasizes the importance of proper management of employees’ characteristics through their obtained education i.e. their educational attainment, on the development and application of knowledge management, and therefore on the productivity and competitiveness of the business. The study focuses on whether and to what extent human resources through socio-demographic characteristics have a decisive role in the successful implementation of the knowledge management program in textile enterprises in Serbia, as well as which segments i.e. dimensions, can be affected. Research goals are directed towards determining the impact of the educational attainment of respondents (independent variable) on the dimensions of knowledge management (dependent variable). The sample of respondents consisted of N = 336 employees from 83 textile companies in Serbia. Significant results were seen in the dimensions of the organisational culture (0.050), the process of knowledge acquisition (0.013) and competitive advantage (0.021). Adequate selection of human resources can influence the above-mentioned organisational units in the enterprise. Investment in both the intellectual capital of human resources and in all technological processes and resources at all levels would allow knowledge management to be fully implemented in enterprises and to improve the textile industry in Serbia.

Application of information technology through the knowledge management process, an empirical study of Serbian enterprises

The focus of this paper is to identify which social characteristics of human resources in Serbia, influence the process of application of information technology as dimensions of knowledge management. Research goals are directed to establish correlations between the independent variables (the characteristics of respondents) and information technology dimensions defined as the dependent variable. Statistically significant correlations are realized with the independent variables: age (Sig. 0.025) and family status of respondents (Sig. 0.048). For other independent variables: years of service at the company, professional qualification and gender of the respondents, correlation is above the level of Sig. ≤ 0.05. The sample consisted of 336 employees from 83 enterprises in Serbia.

The Role of Business Intelligence in Decision Process Modeling / Uloga Poslovne Inteligencije U Savremenom Odlučivanju

Abstract Decision making is a very significant and complex function of management that requires methods and techniques that simplify the process of choosing the best alternative. In modern business, the challenge for managers is to find the alternatives for improving the decision-making process. Decisions directly affect profit generation and positioning of the company in the market. It is well-known that people dealt with the phenomenon of decision making in each phase of the development of society, which has triggered the need to learn more about this process. The main contribution of this paper is to show the significance of business intelligence tools and techniques as support to the decision making process of managers. Research results have shown that business intelligence plays an enormous role in modern decision process modeling. Rezime Odlučivanje je veoma značajna i kompleksna funkcija menadžmenta koja zahteva metode i tehnike koje olakšavaju proces izbora jedne od više ponuđenih alternativa. U savremenom poslovanju veliki izazov za menadžment jeste pronaći alternativne načine za poboljšanje procesa poslovnog odlučivanja. Odlučivanje utiče direktno na stvaranje profita i pozicioniranje kompanija na tržištu. Činjenica je da su se u svakoj fazi razvoja društva ljudi bavili fenomenom odlučivanja, što uslovljava širenje znanja o ovom procesu. Glavni doprinos ovog rada jeste da ukaže na značaj alata i tehnika poslovne inteligencije kao podrške menadžmentu u procesu odlučivanja. Rezultati ukazuju na ogroman značaj poslovne inteligencije u savremenom odlučivanju.