Publication details
Pythagorean triples for linear approximations of probabilistic production streams
| Authors | |
|---|---|
| Year of publication | 2023 |
| Type | Article in Proceedings |
| Conference | Proceedings of the 22nd International Conference on Modeling & Applied Simulation (MAS 2023) |
| MU Faculty or unit | |
| Citation | |
| web | https://www.cal-tek.eu/proceedings/i3m/2023/mas/012/pdf.pdf |
| Doi | http://dx.doi.org/10.46354/i3m.2023.mas.012 |
| Keywords | Value stream; probabilistic production stream; linear approximation; Pythagorean triple |
| Description | Today’s global hypercompetitive environment considerably demands optimizing the activities of all companies that want to be successful in the long term. Several tools are available on the market for optimizing corporate activities. While these tools are powerful, they are costly and challenging to operate. However, the tools are not suitable for small and medium-sized enterprises (SMEs). SMEs need tools powerful enough but at the same time user-friendly and cost-effective. The authors of this article are involved in developing one of these tools suitable for SMEs. This paper presents a part of the developed tool that applies a method based on the properties of Pythagorean triples for the numerical modeling of probabilistic flows. The resulting linear approximations are expressed in terms of rational coefficients, which makes them practical for possible implementation. |
| Related projects: |