ACS Applied Computer Science

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COMPUTER-AIDED MATERIAL DEMAND PLANNING USING ERP SYSTEMS AND BUSINESS INTELLIGENCE TECHNOLOGY

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Effective decision-making in industry conditions requires access and proper presentation of manufacturing data on the realised manufacturing process. Although the frequently applied ERP systems allow for recording economic events, their potential for decision support is limited. The article presents an original system for reporting manufacturing data based on Business Intelligence technology as a support for junior and middle management. As an example a possibility of utilising data from ERP systems to support decision-making in the field of purchases and logistics in  small and medium enterprises.

  • APA 6th style
Danilczuk, W., & Gola, A. (2020). Computer-Aided Material Demand Planning Using ERP Systems And Business Intelligence Technology. Applied Computer Science, 16(3), 42-55. doi:10.23743/acs-2020-20
  • Chicago style
Danilczuk, Wojciech, and Arkadiusz Gola. "Computer-Aided Material Demand Planning Using Erp Systems and Business Intelligence Technology." Applied Computer Science 16, no. 3 (2020): 42-55.
  • IEEE style
W. Danilczuk and A. Gola, "Computer-Aided Material Demand Planning Using ERP Systems And Business Intelligence Technology," Applied Computer Science, vol. 16, no. 3, pp. 42-55, 2020, doi: 10.23743/acs-2020-20.
  • Vancouver style
Danilczuk W, Gola A. Computer-Aided Material Demand Planning Using ERP Systems And Business Intelligence Technology. Applied Computer Science. 2020;16(3):42-55.