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Narzędzie informatyczne wspomagające zarządzanie danymi klientów

Tomczak Aleksander, Dostatni Ewa, Górski Filip

Zarządzanie Przedsiębiorstwem

2023

Vol. 26, nr 1

26--32

The article describes an example of using a database application to manage customer data in an organization producing products to individual customer orders. The research were carried out in the department of production engineering at the Poznan University of Technology, who conducts research regarding the creation of individual prostheses and ortheses for patients with limb disfunctions. The developed database application with its functionality is included in the area of crm it solutions. The application is an extension of the automedprint system, which is used for fast, automatic designing and manufacturing of prostheses and orthetizes by 3d printing. In automedprint, data concerning clients, products and production orders are saved in different folders, which makes the management of these data very hard. Reason for this, a solution which enables accelerating editing, searching, sorting of data, and therefore providing in a short time information on the status of implementation of individual orders, has been developed.

Identification of bottlenecks in the unit Make to Order production

Mleczko J., Mičieta B., Dulina L

Applied Computer Science

2013

Vol. 9, no 2

43--56

Since the production is aimed at fulfilling specific needs of demanding customers and not at filling warehouses, the production volume should reflect the volume of orders. In times of fight for the client every order has to be performed on time. What is more, in times of fight for shortening the delivery cycle, meeting safe deadlines, that is distant in time, is not enough. Companies are forced to meet short deadlines with keeping the product price competitiveness condition. It is hardly possible without a advanced planning support system. Currently, advanced planning systems are coming into use, however their cost exceeds the possibilities of small and medium enterprises and algorithms used often require great customization to industries’ needs and conditions of unit and small-batch production. Such conditions lead to a need for simplified methods. The methods used so far are not capable of finding the global optimum of such big data ranges. For this reason computer tools for applying to the industrial scale are needed. The above method basis on the data so far collected in ERP system.