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According to requirements of the market a great number of small companies are forced to offer a wide variety of products and to frequently respond to the market with customized solutions. At the same time, the fast delivery of products is often key to winning orders. Recent developments in Information Technology have made product family manufacturing available for small companies. It is made possible by applying a class of software tools called product configurations which can be integrated with Enterprise Resource Planning (ERP) systems. For configurable products, due to the number of options for implementation, the process of data preparation requires special care so that not to be too time-consuming and likely to be realized in production practice. This article presents problem of product identification, customizable product modeling, user interface issues, the algorithmic generating of bill of materials and routing processes based on the options specified by the B2B system users and data flow in the operational management. The decision framework of product family design and development along the entire spectrum of product realization according to the concept of design domains. Product family decision-making involves a series of "what how" mappings between these domains. Managing product families consisting of a large set of product variants as configurable products requires defining a configuration model. The concepts and modeling guidelines for them were validated with success in SME for roller shutters. Information system support is necessary for modeling products, particularly for a configuration available on the Internet for B2B partners. In addition to having a good understanding of the product, a designer should be familiar with object oriented modeling. The main benefit there would be improving communication within the product development team and to other departments in the company, e.g. sales. The benefits also include the use of additional functions provided by the knowledge database, structure and the related design constraints during the product development. The method was validated in the conditions of best practice production for unit and small batch production.
EN
Currently, the manufacturing management board applies technologies in line with the concept of Industry 4.0. Cyber-physical production systems (CPSs) mean integrating computational processes with the corresponding physical ones, i.e., allowing work at the operational level and at the strategic level to run side by side. This paper proposes a framework to collect data and information from a production process, namely, the burnishing one, in order to monitor real-time deviations from the correct course of the process and thus reduce the number of defective products within the manufacturing process. The proposed new solutions consist of (i) the data and information of the production process, acquired from sensors, (ii) a predictive model, based on the Hellwig method for errors in the production process, relying on indications of a machine status, and (iii) an information layer system, integrating the process data acquired in real time with the model for predicting errors within the production process in an enterprise resource planning (ERP) system, that is, the business intelligence module. The possibilities of using the results of research in managerial practice are demonstrated through the application of an actual burnishing process. This new framework can be treated as a solution which will help managers to monitor the production flow and respond, in real time, to interruptions.
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