safety]]> Osnovni cilj ove doktorske disertacije je definisanje metodologije i razvoj modela sistema upravljanja zaštitom na radu, koji će omogućiti savremen, adekvatan i sveobuhvatan način praćenja i analize faktora koji utiču na bezbednost i zaštitu na radu.
Sistem poslovne inteligencije za upravljanje zaštitom na radu u rudarstvu, čiji je razvoj prikazan u ovoj doktorskoj disertaciji, svoje mesto nalazi u okviru treće faze Demingovog ciklusa – Provera i korektivne mere. Evidencija i analiza indikatora stanja zaštite na radu, kao što su nezgode, povrede na radu i profesionalna oboljenja, treba da omoguće, primenom savremenih informacionih tehnologija, kompleksnu i sveobuhvatnu analizu prikupljenih podataka i ocenu uspešnosti primenjenih mera zaštite kao i unapređenje procesa donošenja odluka vezanih za poboljšanje primenjenih i izbor novih mera pri upravljanju procesima zaštite na radu u rudnicima.
Razvoj sistema za praćenje i analizu stanja zaštite na radu zasnovan je na iterativno‐inkrementalnom pristupu vođenom slučajevima upotrebe. Prva faza je obuhvatila specifikaciju korisničkih zahteva, odnosno funkcionalnosti sistema koji se razvija, i poslovnog modela koji specificira arhitekturu informacionog sistema kroz konceptualni model. Dalje modeliranje je obuhvatilo: konceptualno modeliranje podataka koje daje celokupan pogled na sistem, strukturno koje formalizuje organizaciju poslovnog sistema, procesno sa specifikacijom poslovnih aktivnosti u sistemu i modeliranje ponašanja i interakcije između resursa. Implementacija sistema je prikazana karakterističnim komponentama sistema evidencije službe zaštite sa posebnim osvrtom na evidenciju povreda. Razvijeni sistem omogućava i primenu analitičkih servisa poslovne inteligencije u cilju ranog otkrivanja rizika od nezgode, kroz analizu uzroka, mesta događaja, vremena kada su se desili, težina povrede i drugih relevantnih podataka pohranjenih u bazi.
U disertaciji su istaknute ključne prednosti korišćenja ontologija kao tehnike za predstavljanje znanja i upravljanje kodiranim znanjem. Značaj i dobiti ovakvog pristupa su prikazani kroz poslovno okruženje Elektroprivrede Srbije. Osim povećanja dostupnosti, pronalaženja informacija i približavanja znanja, značajan doprinos ontologije RudOnto sistemu zaštite je mogućnost kontrolisanog održavanja podataka ažurnim. Model poslovne inteligencije za zaštitu na radu u rudniku integriše standardne OLAP (Online Analytical Processing) tehnologije koje se koriste za organizaciju velikih poslovnih baza podataka i za podršku poslovnoj inteligenciji sa RudOnto ontologijom.
Mogućnost praktične primene razvijenog sistema poslovne inteligencije za upravljanje zaštitom na radu u rudnicima ilustrovan je na podacima evidencije podataka iz oblasti bezbednosti i zdravlja na radu službi zaštite na površinskim kopovima Elektroprivrede Srbije. Primena sistema čiji je razvoj prikazan u ovoj disertaciji značajno bi unapredila poslove upravljanja zaštitom na radu i omogućila pravovremeno i efikasno planiranje i sprovođenje potrebnih mera zaštite čime bi se obezbedilo unapređenje stanja zaštite na radu na površinskim kopovima lignita u okviru Elektroprivrede Srbije.]]>
The basic objective of this PhD thesis is to define a methodology and develop a model for the management of protection at work that will provide for a modern, adequate and comprehensive method for the monitoring and analysis of factors that affect occupational safety and protection at work.
The business intelligence system for the management of occupational safety in the mining industry, the development of which is presented in this PhD thesis, finds its place within the third phase of the Deming cycle – Check and corrective measures. Records and the analysis of indicators of the state of occupational safety, such as accidents, injuries at work and occupational diseases should enable, with the application of modern information technologies, a complex and comprehensive analysis of collected data, the assessment of the performance of applied protection measures, as well as the advancement of the decision‐making process related to the improvement of applied and selection of new measures in the management of occupational safety processes in mines.
The development of a system for the monitoring and analysis of the state of occupational safety is based on an iterative and incremental approach guided by application cases. The first phase encompassed the specification of user requirements, i.e. functions of the developing system and a business model specifying the architecture of the information system through a conceptual model. Further modelling encompassed the following: conceptual modelling of data giving a comprehensive overview of the system, structural modelling formalising the organisation of the business system, processing modelling with the specification of business activities in the system and modelling of the behaviour and interaction between resources. The implementation of the system is illustrated with the characteristic components of the injury and illness recordkeeping and reporting system of the occupational safety service unit with a special emphasis on records of injuries. The developed system enables also the application of analytical business intelligence services with the aim to identify risks of accidents at an early stage through the analysis of causes, place and time of event, gravity of injury and other relevant data stored in the base.
The thesis puts emphasis on the key advantages of the use of ontology as technique for the presentation of knowledge and management of coded knowledge. The significance and benefits of such an approach are presented in the context of the business environment of the Electric Power Industry of Serbia. Apart from enhanced accessibility, information retrieval and knowledge management, a significant contribution of RudOnto ontology to the safety management system is the possibility to provide for controlled updating of data. The business intelligence model for occupational safety in mines integrates standard OLAP (Online Analytical Processing) technologies that are used for the organisation of large business databases and for the support to business intelligence with the RudOnto ontology.
The possibility to apply the developed business intelligence system for the management of occupational safety in mines in practice is illustrated with data from occupational safety and health records of occupational safety service units in surface mines of Electric Power Industry of Serbia. The application of this system, the development of which is presented in this thesis, would significantly improve occupational safety management tasks and enable timely and efficient planning and implementation of necessary protection measures in order to secure the improvement of the state of occupational safety in lignite surface mines within Electric Power Industry of Serbia.]]>