Soft Modelling-Based Methodology of Raw Material Waste Estimation

Agnieszka Kujawińska; Magdalena Diering; Michał Rogalewicz; Krzysztof Żywicki; Łukasz Hetman

doi:10.1007/978-3-319-64465-3_39

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Title

Soft Modelling-Based Methodology of Raw Material Waste Estimation

Authors

Agnieszka Kujawińska (WBMiZ) ^{[ 1 ][ 2.9 ][ P ]}
Magdalena Diering (WBMiZ) ^{[ 1 ][ 2.9 ][ P ]}
Michał Rogalewicz (WBMiZ) ^{[ 1 ][ 2.9 ][ P ]}
Krzysztof Żywicki (WBMiZ) ^{[ 1 ][ 2.9 ][ P ]}
Łukasz Hetman

^{[ 1 ]} Katedra Zarządzania i Inżynierii Produkcji, Wydział Budowy Maszyn i Zarządzania, Politechnika Poznańska | ^{[ P ]} employee

Scientific discipline (Law 2.0)

[2.9] Mechanical engineering

Year of publication

2018

Chapter type

chapter in monograph / paper

Publication language

english

Keywords

EN

soft modelling
decision making process
statistical model
simulator
wood
timber wood
material waste
bonding process

Abstract

EN The paper looks at soft modelling-based estimation of raw material waste for various variants of a technological process under development. A methodology of assessment of new technology variants, in terms of minimization of the input material waste, is presented. Results of an analysis of variants of a new technology of manufacturing of the middle layer of a flooring board, carried out according to the developed methodology, are shown. The assessment is performed in an original software tool for waste simulation. It is shown that the developed methodology supports the estimation of material waste and assists in the selection of the optimal variant of the process, taking into consideration the constraints of the organization.

Date of online publication

18.08.2017

Pages (from - to)

407 - 417

DOI

10.1007/978-3-319-64465-3_39

URL

https://link.springer.com/chapter/10.1007/978-3-319-64465-3_39

Book

Intelligent Systems in Production Engineering and Maintenance – ISPEM 2017 : Proceedings of the First International Conference on Intelligent Systems in Production Engineering and Maintenance ISPEM 2017

Presented on

1st International Conference on Intelligent Systems in Production Engineering and Maintenance ISPEM 2017, 28-29.09.2017, Wrocław, Poland