Purpose: Main purpose was to create database system for storing simulation results, technologies, cad files, animations, filling and solidification parameters, etc. Design/methodology/approach: The SimulationDB system is first step in technological data management. The next step is more complex database system called MasterDB, which allows you manage all technological data not only in one foundry but in the whole concern. Findings: Technological knowledge base called „SimulationDB” lets you store information from each production process stage like: orders, preparation specific technology, production, quality control, etc. SimulationDB was made because there are a lot of problems storing different kind of technological data. Each production process stage generate a lot of parameters, information, technologists annotations, analysis and technology comparisons. Knowledge base for technologists - SimulationDB completes a gap in informatics infrastructure in each foundry lets you fast and easy access to information from each technological process. Practical implications: SimulationDB was successfully implement in Alstom Power Department of Metallurgy in Elbląg. Originality/value: Original value of the paper is innovative, patented database system with unique method of creating technology with very good quality and low cost.
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Purpose: Of this paper was to present the methodology of analysis of the productive processes with application of value analysis and multi-criterion-analysis which allow to evaluate the technology and organization of the productive processes. Design/methodology/approach: Presented in the paper methodology of evaluation of the productive processes is based on analysis of activities in the productive processes and their characteristics with reference to created value in the productive chain. Findings: The paper presents elaborated by the author methodology and computer application for application in the chains of the productive processes. Research limitations/implications: Presented methodology allows to evaluate effectivity of the productive chains connecting aspects of the management and economics of the process. Practical implications: Presented methodology was used in analysis of the productive chains and their effectivity, and also as a benchmarking instrument. Originality/value: The paper presents originally elaborated computer application for the value added analysis in the productive chains.
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