Purpose: Improvement of technological processes by the use of technological efficiency analysis can create basis of their optimization. Informatization and computerization of wider and wider scope of activity is one of the most important current development trends of an enterprise. Design/methodology/approach: Indicators appointment makes it possible to evaluate the process efficiency, which can constitute an optimization basis of particular operation. Model of technological efficiency analysis is based on particular efficiency indicators that characterize operation, taking into account following criteria: operation – material, operation – machine, operation – human, operation – technological parameters. Findings: From the qualitative and correctness of choose of technology point of view comprehensive technological processes assessment makes up the basis of technological efficiency analysis. Results of technological efficiency analysis of technological process of prove that the chosen model of technological efficiency analysis makes it possible to improve the process continuously by the technological analysis, and application of computer assistance makes it possible to automate the process of efficiency analysis, and finally controlled improvement of technological processes. Practical implications: For the sake of complexity of technological efficiency analysis one has created an AEPT computer analysis from which result: operation efficiency indicators with distinguished indicators with minimal acceptable values, values of efficiency of the applied samples, value of technological process efficiency. Originality/value: The created computer analysis of ef technological process efficiency (AEPT) makes it possible to automate the process of analysis and optimization.
[1]
D. Szewieczek,et al.
Risk of the processes in the aspect of quality, natural environment and occupational safety
,
2007
.
[2]
Janez Kopac,et al.
Model of quality management in development of new free-cutting Al-alloys
,
2006
.
[3]
M. Roszak,et al.
Chosen aspects of evaluation of productive processes on the example of productive chains of sections type V29
,
2005
.
[4]
J. Michalska,et al.
The usage of The Balanced Scorecard for the estimation of the enterprise's effectiveness
,
2005
.
[5]
L. A. Dobrzański,et al.
Application of Taguchi method in the optimisation of filament winding of thermoplastic composites
,
2007
.
[6]
D. Signorini,et al.
Neural networks
,
1995,
The Lancet.
[7]
J. Madejski.
Survey of the agent-based approach to intelligent manufacturing
,
2007
.
[8]
Richard B. Holmes,et al.
Theory of optimization
,
1972
.
[9]
Mariusz Krupiński,et al.
Computer aided method for evaluation of failure class of materials working in creep conditions
,
2004
.
[10]
Duško Pavletić,et al.
Six Sigma process improvements in automotive parts production
,
2006
.
[11]
M. Dudek-Burlikowska,et al.
Quality estimation of process with usage control charts type X-R and quality capability of process Cp ,Cpk
,
2005
.