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Flow of data in the operational management of configurable products
Języki publikacji
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.
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Bibliogr. 18 poz.
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