Suchergebnisse

Logistički automatizovani informacioni sistem treba razvijati kao deo jedinstvenog automatizovanog informacionog sistema (JAIS-a). Da bi se logistički automatizovani informacioni sistem uspešno razvijao i primenjivao u operativnoj praksi, neophodno je slediti globalni koncept razvoja JAIS-a i u razvoju više primenjivati timski rad profesionalnog informatičara i poznavaoca realnog logističkog sistema. Bitan uslov za razvoj kvalitetnog logističkog informacionog sistema jeste definisanje informacionih potreba o pojedinim objektima koje tretira logistički informacioni sistem. Zadatak logističkog automatizovanog informacionog sistema jeste da obezbedi: stalni uvid u stanje logističkog sistema; ukazivanje na potrebne i moguće mere poboljšanja; bolje planiranje i upravljanje radom realnog sistema; informisanje ljudstva o stanju realnog sistema i ukazivanje na pravce daljeg razvoja informacionih sistema. Logistički informacioni sistem treba razvijati vodeći računa i o kompatibilnosti sa budućim saveznicima i partnerima. ; A logistics automated information system should be developed as a part of a unified automated information system (JAIS). In order to develop a logistics automated information system and to apply it successfully in operational use, it is necessary to follow the JAIS global development concept and rely more on teamwork of IT experts and specialists in real logistics systems. An important condition for the development of a high-quality logistics information system is to define information needs for particular objects treated by a logistics information system. The task of such a system is to provide: permanent insight into the logistics system, pointing to the necessary and possible measures for improvement, better real system planning and management activities, personnel information about the state of the real system, pointing to the directions of further system development. A logistics information system should be developed taking also into account compatibility with future allies and partners. Defense systems were among the first to accept the challenge (because they were forced to) to introduce information technology in their management system and, with the help of innovations in this area, to increase the performance effectiveness under the conditions of environment dynamic changes. Information technology development mostly followed development of large military projects aimed at solving management or technology issues within military industry complex and management in the most technologically developed defence systems. These science and defense practice efforts resulted in many new methods and techniques such as the method of system analysis and information system design, methods of operational research and simulation, pattern recognition, expert systems for individual processes in management, as well as those for information retrieval and their implementation in decision making. Over time, partial innovations reached a high level of synthesis, leading to new management systems able to function in most complex task conditions. Mastering the procedure of creating autonomous partial information systemswhere the operational research methods helped to optimally apply some of their particular values – has led to the creation of integrated automated information systems for management support. Our recent defence theory and practice have not concentrated enough on logistics information systems in professional journals, neither from the organizational nor from the technological point of view. Experiences gained from operational practice and knowledge acquired by visiting foreign armies, practical needs as well as modern times demands and current trends in the development of defence systems pointed out that it is necessary to pay more attention to this logistics segment in military journals. Logistics information systems cannot be researched, developed and introduced into operational practice (applied) without knowing the structure of high-quality information systems in general. High-quality information systems for supporting the logistic aspects of decision-making and logisticsdealing authorities cannot be developed without properly defining information needs of specific customer information systems and without most precisely describing objects of interest of the logistics system. It is also not possible to go forward in the development and implementation of logistics information systems after long stagnation unless this important area is considered through a retrospective, identifying and defining problems that accompany the development and introduction of information systems in the military forerunners of the Army of Serbia and the AS now and realizing the current situation in this area in the defense system. In principle, our defense system started the work on the automated collection, processing and distribution of information simultaneously with other developed defense systems in the world. However, in the meantime orientations and concepts changed so that no project focused on the development of integrated automated information system (AIS) and decision support system was brought completely to the end. The development of information systems to support the defense system and particularly the Army faced specific dilemmas and problems which hindered their development: information needs of users which information systems should provide for were never properly defined; disputes occurred between "generalites" and "specialists" on whether the system should be built from the bottom (the base) or from the top, resulting in the development of small-scale applications in the base (where problems needing automation occurred) that could fit into a global concept and the development of global concepts never implemented completely into the defense system operational practice. Due to the low level of their information culture, real system experts were not able to properly express and define their needs and expectations of IT professionals who, because of their low levels of general military knowledge, were not able to fully understand the functioning of the real system and information system needs. The above dilemmas and other problems are still present today so that the present automated decision-mking support in the defense system (not just in logistics) does not match the needs of practice, requirements of time and modern trends. In treating logistics information systems in this paper, we will apply an analogy with other information systems. Particular aspects and segments of the development and implementation of logistics information systems will be processed with a high degree of generalization, using the experience and research the authors participated in as well as available sources of knowledge. The aforementioned approach allows for a wider general aspect of the given views, while, on the other hand, gaining the depth and accuracy if validly applied to each specific case and to each logistics system. After the organizational changes in the defense system, and in logistics in particular, due consideration should be paid to the development of information systems since there possibly lies the answer to the request 'to reduce the system response time' within a framework of constant reducing the workforce and 'scope of logistic resources'. Changes in the organization of the technical, health, infrastructural and financial support of Defense represent an additional reason to approach more seriously the issues of defense logistic support and the logistic aspects of decision-making in the defense.

U ovom radu obrađeno je nekoliko organizacijskih modela održavanja vazduhoplova. Svi prikazani modeli do sada su bili u primeni u vazduhoplovstvu, tako da su prednosti i nedostaci pojedinih modela poznati. Najpre je prikazan trenutni model održavanja vazduhoplova sa njegovim osnovnim karakteristikama, a zatim još dva organizacijska modela održavanja vazduhoplova i njihove prednosti i nedostaci. Prednosti i nedostaci pojedinih modela analizirani su na osnovu kriterijuma operativnih sposobnosti jedinica u vojsci. Pored operativnih sposobnosti prikazani su još neki kriterijumi koje treba uzeti u obzir prilikom ocenjivanja i izbora optimalnog modela održavanja vazduhoplova. Izvršena kvalitativna analiza pojedinih modela ne može biti dovoljna za ocenu izbora optimalnog modela održavanja, jer se odnosi na izabrani skup kriterijuma iz delokruga operativnih sposobnosti. Da bi se izabrao optimalni model neophodno je da se sprovede detaljna ekonomska i taktičko- tehnička analiza pojedinih modela održavanja. Za kvalitetnu reorganizaciju održavanja vazduhoplova neophodno je uključenje najvišeg državnog i vojnog rukovodstva. Neophodno je odrediti jasne ciljeve po svim elementima savremenih programa vazduhoplovnotehničke podrške, na osnovu iznetih kriterijuma ocenjivanja. ; This paper addressed several organizational models of aircraft maintenance. All models presented so far have been in use in Air Forces, so that the advantages and disadvantages of different models are known. First it shows the current model of aircraft maintenance as well as its basic characteristics. Then the paper discusses two organizational models of aircraft maintenance with their advantages and disadvantages. The advantages and disadvantages of different models are analyzed based on the criteria of operational capabilities of military units. In addition to operational capabilities, the paper presents some other criteria which should be taken into account in the evaluation and selection of an optimal model of aircraft maintenance. Performing a qualitative analysis of some models may not be sufficient for evaluating the optimum choice for models of maintenance referring to the selected set of criteria from the scope of operational capabilities. In order to choose the optimum model, it is necessary to conduct a detailed economic and technical analysis of individual tactical model maintenance. A high-quality aircraft maintenance organization requires the highest state and army authorities to be involved. It is necessary to set clear objectives for all the elements of modern air force technical support programs based on the given evaluation criteria.

Introduction/purpose: The use of modern military aircraft requires an extraordinary effort of human and material potential to ensure the conditions for the execution of specific tasks. Complex technology, different spatial and temporal conditions of aircraft use impose the need to create organizational and technical conditions to assist the pilot during flight with the aim of safely and completely accomplishing the flight task. The aim of this paper is to identify possible problems in the organization of the flight safety system through the description of the influence of technical factors on flight safety and to find the best solutions for overcoming problems during the life cycle of the aircraft. Methods: In the research of the subject area, first of all, the analysis of the regulations regulating the field of flight safety was carried out, and then a description of the technical means and their impact on flight safety was carried out. Results: On the basis of the performed analysis, the activities to ensure the reliability of the aircraft during development and production were defined, and directions for improving flight safety were proposed through the amendments of regulations, organizational and technical as well as technological measures. Conclusion: The results of the analysis confirm the assumptions about the possible directions of development and improvement of flight safety of military aircraft through improvement and installation of technical systems (devices and equipment), both aviation and ground.

Introduction/purpose: The paper discusses the selection of the most optimal supplier using the example of an unmanned aircraft when the decision maker has data of a qualitative nature. Problems that arise in practice in the selection of suppliers relate to the selection of adequate criteria as well as the way they are evaluated by the decision maker. One of the ways of assessing the criteria of a qualitative character is the usage of linguistic expressions, which gives decision makers the freedom to express their position and opinion through descriptive assessments. This method of assessment is not the most accurate and can introduce a certain amount of uncertainty for the decision maker. Methods: To solve the problem of uncertainty, the paper proposes a method of modeling data using intuitive phase numbers. Intuitive phase numbers are suitable for solving the problem of uncertainty in situations when it is necessary to review safety during the assessment. To rank suppliers, the ELECTRE method is used, which is adapted to intuitive phase numbers (IF ELECTRE). The IF ELECTRE method was chosen because it clearly presents the potential of all suppliers, i.e. their advantages and disadvantages in relation to the required criteria. Results: Using IF ELECTRE, the final results provide a shape of mutual preference or indifference between suppliers. The ranking clearly shows the potential of all suppliers, which in a future procurement can serve as a reference for decision making. Conclusion: The contribution of this paper is reflected in the proposed model that can be used in practice to solve not only the problem of supplier selection, but also similar problems where the decision is made based on inaccurate data. Using these models seeks to reduce indecision and subjectivity in decision making.

Introduction/purpose: The paper presents a model of logistics support planning in the conditions of limited logistic resources based on the prioritization of customer requirements and resource allocation. Decisionmakers play a crucial role in the efficient and equitable allocation of resources as they prioritize among different user requirements. Methods: Requirement prioritization techniques that use nominal scale, ordinal scale, and ratio scale, and five methods for converting ranks into weighting coefficients have been applied to determine the degree of significance of user requirements. The Requirements triage method has been used for establishing relative priorities, while the heuristic algorithm determining the Kemeny median was used to consolidate individually ranked requests into a group rank. In order to balance opposing demands of users, consensus measures of group decision making were used. For obtaining an optimal planned solution of logistic support, the methods and techniques of resource allocation were applied. Results: A model for adaptive planning of logistics support in the conditions of limited resource capacities of the logistics system has been developed. Conclusion: The proposed model can be effectively applied in other areas of resource allocation.