Proceedings of the International Conference on Trends of Technologies and Innovations in Economic and Social Studies 2017

Concept of Lean Production Using Marginal Analysis in Conditions of Innovation Economics

Authors
E. Dolzhenkova, L. Iurieva
Corresponding Author
E. Dolzhenkova
Available Online June 2017.
DOI
https://doi.org/10.2991/ttiess-17.2017.23How to use a DOI?
Keywords
Innovations, lean production, marginal analysis
Abstract
The article develops an algorithm for optimizing the orders portfolio of iron and steel companies based on marginal profitability analysis, which allows one to reduce "overproduction losses" of rolled metal products, as well as losses for carrying out the calculations - "expectation losses", in conditions of innovation economy. The subject of the authors' study was economic relations arising at steel-making companies under lean production. Scientific papers of domestic and foreign scientists, statistical reports data and the results of approbation of the optimization algorithm of the orders portfolio at steel-producing companies have formed the theoretical and methodological basis of the study. The calculations have revealed that the proposed algorithm for optimizing iron and steel companies' orders portfolio, based on the marginal analysis, has made it possible to economically justify the necessity of lean manufacturing tools implementation for companies operating in the industry under innovation economics and to reduce losses from expectations and overproduction, which do not add value to the consumer.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - E. Dolzhenkova
AU  - L. Iurieva
PY  - 2017/06
DA  - 2017/06
TI  - Concept of Lean Production Using Marginal Analysis in Conditions of Innovation Economics
BT  - International Conference on Trends of Technologies and Innovations in Economic and Social Studies 2017
PB  - Atlantis Press
SN  - 2352-5428
UR  - https://doi.org/10.2991/ttiess-17.2017.23
DO  - https://doi.org/10.2991/ttiess-17.2017.23
ID  - Dolzhenkova2017/06
ER  -