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EN
This article describes the Integrated Military Information System (IMIS), which is being gradually introduced in the Ministry of National Defense. The modern IMIS system is intended to form the foundations of effective management of the Air Force logistics. At present, military units often have to carry out their tasks in a coalition or allied environment and the integrated information system is a key to ensuring a successful outcome of these activities. This author also focus on airbase tasks on the example of 42 Aviation School Airbase in Radom. The article also describes the implementation effects of IMIS on enhanced functioning of the airbase logistics in this process.
EN
Nowadays, more and more enterprises are using Enterprise Resource Planning (EPR) systems that can also be used to plan and control the development of new products. In order to obtain a project schedule, certain parameters (e.g. duration) have to be specified in an ERP system. These parameters can be defined by the employees according to their knowledge, or can be estimated on the basis of data from previously completed projects. This paper investigates using an ERP database to identify those variables that have a significant influence on the duration of a project phase. In the paper, a model of knowledge discovery from an ERP database is proposed. The presented method contains four stages of the knowledge discovery process such as data selection, data transformation, data mining and interpretation of patterns in the context of new product development. Among data mining techniques, a fuzzy neural system is chosen to seek relationships on the basis of data from completed projects stored in an ERP system.
EN
The paper presents identifying success factors in new product development and selecting new product portfolio. The critical success factors are identified on the basis of an enterprise system, including the fields of project management, marketing and customer’s comments concerning the previous products. The model of measuring the success of a product includes the indicators such as duration and cost of product development, and net profit from a product. The proposed methodology is based on identification of the relationships between product success and project environment parameters with the use of artificial neural networks and fuzzy neural system that is compared with the results from linear model. The presented method contains the stages of knowledge discovery process such as data selection, data preprocessing, and data mining in the context of an enterprise resource planning system database. The illustrative example enhances a performance comparison of intelligent systems in the context of data preprocessing.
PL
W artykule przedstawiono rozważania na temat wdrożenia nettingu w przedsiębiorstwie. Zaprezentowano definicję nettingu oraz informacje dotyczące ścieżki raportowania danych uzyskanych za pomocą tego procesu. W toku przeprowadzonych rozważań scharakteryzowano mocne i słabe strony zastosowania systemu nettingu w rozliczeniach wewnątrzgrupowych. Celem artykułu była prezentacja możliwości wykorzystania systemu nettingu w dziale finansowo-księgowym przedsiębiorstwa ukierunkowanego na raportowanie w systemie ERP. Podczas pisania artykułu zastosowano studia literaturowe, analizę, indukcję oraz wnioskowanie.
EN
The article presents a reflection about the implementation of the netting process in a company. It presents the definition of netting and includes information about reporting paths created by this process. The analysis has presented the strengths and weaknesses of the concept of netting application in the intercompany reconciliation. The aim of the article is to present the possibilities of netting process focused on the ERP reconciliation. While writing the article literature studies, analysis, induction and inference were used.
PL
W obecnych czasach menedżerowie przedsiębiorstw produkcyjnych stają przed coraz cięższymi problemami decyzyjnymi. Wahania popytu oraz stale rozwijające się rynki stawiają przed planistami wiele wymagań dotyczących utworzenia poprawnego harmonogramu produkcji. Dzięki rozwojowi technologicznemu możliwe jest korzystanie z systemów wspierających podejmowanie decyzji. Jednakże nie wszystkie systemy prawidłowo współpracują ze sobą. Przykładem problemów z integracją systemów jest wdrożenie systemu monitorującego produkcję (MES) do istniejącego systemu klasy ERP. Ten artykuł ma na celu pokazanie wykorzystania podstawowych funkcji zawartych w systemie klasy ERP jako części funkcji systemu MES. Poprzez integrację systemu ERP z aplikacją mobilną możliwe staje się uzyskanie podstawowych funkcjonalności systemu MES, czyli monitorowania bieżącej produkcji oraz potwierdzania uzysku na stanowisku roboczym. Artykuł zawiera krótki wstęp teoretyczny dotyczący ustalania harmonogramu produkcji oraz przedstawienie funkcji systemów klasy ERP oraz MES. Część praktyczna pokazuje zdiagnozowane problemy przedsiębiorstwa produkcyjnego oraz przykład wdrożenia autorskiego rozwiązania. Całość podsumowana jest wnioskami oraz wytycznymi na dalsze etapy badań.
EN
Nowadays, managers of manufacturing companies are facing more and more difficult decision-making problems to resolve. Fluctuations in demand and constantly growing markets place many requirements for planners to create a correct production schedule. Thanks to technological development it is possible to use systems supporting decision-making. However, not all systems work properly together. An example of problems with system integration is the implementation of a production monitoring system (MES) into an existing Enterprise Resource Planning(ERP) class system. This article aimed to show the use of the basic functions contained in the ERP system as part of the functions of the MES system. By integrating the ERP system with a mobile application, it becomes possible to obtain the basic functionalities of the MES system, i.e. monitoring of current production and confirmation of yield at the workplace. The article contains a short theoretical introduction regarding production schedule planning and the functions of ERP and MES class systems. The empirical part shows the diagnosed problems of the production company and an example of implementing an original solution, and is summed up with conclusions and guidelines for further stages of research.
EN
Today logistics is based on the information technology, and without them would be inefficient. More and more access to information technology means that logistics is currently undergoing profound changes. Logistics has entered into all functional areas of business. One reason for this is the widespread use of integrated information systems, allowing for logistics management in both large and small businesses. On the IT market there is definitely a good system solution that would provide a comprehensive IT service logistics company to the extent it satisfactory. Always necessary to use a variety of solutions complementary to the principle of synergy meet all information needs of businesses, enabling efficient implementation of logistics IT systems.
EN
The chapter comprises discussion on interorganizational system development problems. At first, authors define what interorganizational information system is and in what aspects they could be analyzed. The second part includes consideration of integration problems on different organizational levels. Then authors present firms' IT solutions applicable for integration of information systems. The purpose of this article is to present experiences and recommendations on IOS technologies and processes.
PL
W artykule opisano możliwości wspomagania pracy użytkownika systemu klasy ERP w wykonywaniu zadań, które obejmują przygotowanie analizy danych pobranych z systemu SAP Business One. Przedstawiono sposoby określające, jak użytkownicy systemów informatycznych mogą doskonalić wykonywanie codziennych zadań. Wykazano prawdziwość tezy, że prosumpcja oddziałuje na proces podejmowania decyzji i zwiększa zaangażowanie użytkownika w analizę danych biznesowych.
EN
Value stream flows in the supply chain This paper discusses supply chain management in an enterprise. A concept of modelling value stream flows defined in an integrated ERP-class information system is presented. The paper focuses on value stream flows in the areas of procurement, production, and sales in an enterprise. Such flows are illustrated by examples.
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