Neuronal Models for the Optimization of Inventory, Waste and Informational Flow

The present study aims to identify and put into practice certain solutions for economic improvement using the Lean Six Sigma (LSS) methodology within companies from the wood processing industry. The main objectives refer to estimating those effects, which are generated by the informational flows in...

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Bibliographic Details
Published in:Inžinerinė ekonomika 2024-01, Vol.35 (4), p.378-395
Main Authors: Grosu, Veronica, Macovei, Anamaria-Geanina, Cosmulese, Cristina-Gabriela, Socoliuc, Marian, Hlaciuc, Elena, Anisie, Laurenţiu
Format: Article
Language:English
Subjects:
Decision making
Management accounting
Optimization
Research methodology
Risk reduction
Waste management
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Summary:The present study aims to identify and put into practice certain solutions for economic improvement using the Lean Six Sigma (LSS) methodology within companies from the wood processing industry. The main objectives refer to estimating those effects, which are generated by the informational flows in terms of the decision-making process and to identify those areas corresponding to the manufacturing process, which can be improved by using this methodology. The research strategy is based on the use of a questionnaire during 2019-2021, which has addressed to over 150 most important companies from the wood processing industry. In developing the neuronal models for the improvement of stock, the informational flow of the management accounting, costs and for the reduction of the overstock risk in relationship with the waste management was discovered by applying the LSS methodology that the issues were related to inadequate quality records, formality, procedures, and management systems.  
ISSN:1392-2785
2029-5839
DOI:10.5755/j01.ee.35.4.29587