Generolo Jono Žemaičio Lietuvos karo akademija

By introducing new international standards into management systems, most enterprises obtain recognition by the market participants relative to different aspects of their activity. At the same time, problems with the enterprise units management arise rather often. The primary intent of this research is identifying the technical approaches aimed at creating an integrated Quality Management System (QMS) for the food enterprise, which reflects the branch specificity and is based on international standards ISO 9000 and HACCP principles. The paper presents the possible benefits for the food industry originating by the introduction of an integrated QMS based on the analysis carried-out analysis on modern QMS trends. Additionally we present the generalized results of the researches conducted on the “Process model of Raimbek Agro Company”. Finally, a technique for the assessment of productivity and continuous improvement of QMS is developed. Originality/value: the developed technique for productivity assessment and continuous improvement of QMS allows to establish causal relationships between planned and reached results, thus highlighting the effects. The introduction of an Integrated Quality Management System (IQMS) will enable the enterprise to meet the present-day market requirements and to ensure the competitive goods production.

Sustainable development process is affected by contemporary phenomena. Big Data processing inefficiency is detrimental for banks’ activity excellence. The software used for running and handling the interbank network framework provides services with extremely strict uptime (above 99.98 percent) and quality requirements, thus tools to trace and manage changes as well as metrics to measure process quality are essential. Having conducted a two year long campaign of data collection and activity monitoring it has been possible to analyze a huge amount of process data from which many aggregated indicators were derived, selected and evaluated for providing a managerial dash-board to monitor software development. The paper provides insights about the issues related to Big Data processing inefficiencies. Context of sustainable development is being taken into account.