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Przepływ danych w zarządzaniu operacyjnym wyrobów wariantowych

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Warianty tytułu
EN
Flow of data in the operational management of configurable products
Języki publikacji
PL
Abstrakty
EN
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.
Rocznik
Strony
17--26
Opis fizyczny
Bibliogr. 18 poz.
Twórcy
autor
  • Katedra Inżynierii Produkcji, Wydział Budowy Maszyn i Informatyki, Akademia Techniczno-Humanistyczna w Bielsku-Białej, jmleczko@ath.bielsko.pl
Bibliografia
  • [1] Adenso-Diaz B., Lozano S., Eguia I.: Part-machine grouping using weighted similarity coefficients. Computers & Industrial Engineering 2005, no. 48, pp. 553-570.
  • [2] Bal A., Ding L., Patel M.: An approach to accessing product data across system and software revisions. Advanced Engineering Informatics 2008, no. 22, pp. 222-235.
  • [3] Da Silveira G., Borenstein D., Fogliato F. S.: Mass customization: Literature review and research directions. Int. J. Production Economics 2001, no. 72, pp.1-13.
  • [4] Eynard B., Galet T., Nowak P., Roucoules L.: UML based specifications of PDM product structure and workflow. Computers in Industry 2004, no. 55, pp. 301-316.
  • [5] Gendarz P.: Elastyczne systemy modułowe konstrukcji maszyn. Wydawnictwo Politechniki Śląskiej, Gliwice 2009.
  • [6] Huffman C., Kahn B.: Variety for sale: Mass customization or mass confusion. Journal of Retailing 1998, no. 74, pp. 491-513.
  • [7] Jeon G., Broering M., Leep H. R., Parsaei H. R., Wong J. P.: Part family formation based on alternative routes during machine failure. Computers Industry Engineering 1998, Vol. 35, pp. 73-76.
  • [8] Jiao J., Simpson T. W., Siddique Z. J.: Product family design and platform-based product development: a state-of-the-art review. Intel. Manuf. 18/2007, pp. 5-29.
  • [9] Kulkarni U. R., Kiang Y. M.: Dynamic grouping of parts in flexible manufacturing systems . A self-organizing neutral networks approach. .European Journal of Operational Research. 1995, no. 84, pp. 192-212.
  • [10] Luo X., Tu Y., Tang J., Kwong C. K.: Optimizing customers selection for configurable product in B2C e-commerce application. Computers in Industry 2008, no. 59, pp. 767-776.
  • [11] MacCarthy B., Brabazon P. G., Bramham J.: Fundamental modes of operation for mass customization. .Int. J. Production Economics. 2003, no. 85, pp. 289-304.
  • [12] Mata A., Tolio T., Karaesmen F., Dalery Y.: An integrated approach for the configuration of automated manufacturing systems. Robotics and Computer Integrated Manufacturing 17/2001, pp. 19-26.
  • [13] Mleczko J.: Dynamic classification of tasks in condition of unit and small batch production. Management and Production Engineering Review (Kwartalnik Komitetu Inżynierii Produkcji PAN) 2010, Vol. 1, No. 3, pp. 41-55.
  • [14] Owsiński J.W.: Machine-part grouping and cluster analysis: similarities, distances and grouping criteria. Bulletin of the Polish Academy of Science Technical Sciences. 2009, Vol. 57, No. 3, pp. 217-228.
  • [15] Slater P.J.: Pconfig: a Web-based configuration tool for Configure-To-Order products. Knowledge-Based Systems. 12/1999, pp. 223-230.
  • [16] Tralix M. T.: From mass production to mass customization. Journal of Textile and Apparel, Technology and Management. 2001, Vol. 1, Issue 2.
  • [17] Thörn Ch.: Current state and potential of variability management practices in software-intensive SMEs: Results from a regional industrial survey. Information and Software Technology 2010, no. 52, pp. 411-421.
  • [18] Zhou Ch., Lin Z., Liu C.: Customer-driven product configuration optimization for assemble-to-order manufacturing enterprises. International Journal of Advanced Manufacturing Technology 38/2008, pp. 185-194.
  • [19] Katalog wyrobów wariantowych firmy Anwis. Dostęp dnia 10.11.2010 r. Dostępny w Internecie: http:/www.anwis.pl/
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-LOD9-0023-0012
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