Молимо вас користите овај идентификатор за цитирање или овај линк до ове ставке: https://scidar.kg.ac.rs/handle/123456789/9027
Назив: Production process parameter optimization with a new model based on a genetic algorithm and ABC classification method
Аутори: Eric M.
Stefanovic, Miladin
Djordjevic, Aleksandar
Stefanovic N.
Mišić, Milan
Abadic, Nebojsa
Popovic P.
Датум издавања: 2016
Сажетак: © The Author(s) 2016. The difference between the production cost and selling price of the products may be viewed as a criterion that determines an organization's competitiveness and market success. In such circumstances, it is necessary to impact these criteria in order to maximize this difference. The selling products' price, in modern market conditions, is a category which may not be significantly affected. So organizations have one option, which is the production cost reduction. This is the motive for business organizations and the imperative of each organization. The key parameters that influence the costs of production and therefore influence the competitiveness of organizations are the parameters of production machines and processes used to create products. To define optimal parameter values for production machines and processes that will reduce production costs and increase competitiveness of production organizations, the authors have developed a new mathematical model. The model is based on application of the ABC classification method to classify production line processes based on their costs and an application of a genetic algorithm to find the optimal values of production machine parameters used in these processes. It has been applied in three different modern production line processes; the costs obtained by the model application have been compared with the real production costs.
URI: https://scidar.kg.ac.rs/handle/123456789/9027
Тип: article
DOI: 10.1177/1687814016663477
ISSN: 1687-8132
SCOPUS: 2-s2.0-84984923523
Налази се у колекцијама:Faculty of Engineering, Kragujevac

Број прегледа

70

Број преузимања

17

Датотеке у овој ставци:
Датотека Опис ВеличинаФормат 
10.1177-1687814016663477.pdf471.83 kBAdobe PDFСличица
Погледајте


Ова ставка је заштићена лиценцом Креативне заједнице Creative Commons