Казанский (Приволжский) федеральный университет, КФУ
КАЗАНСКИЙ
ФЕДЕРАЛЬНЫЙ УНИВЕРСИТЕТ
 
A DEVELOPED OPTIMIZATION MODEL FOR MASS PRODUCTION SCHEDULING CONSIDERING THE ROLE OF WASTE MATERIALS
Форма представленияСтатьи в зарубежных журналах и сборниках
Год публикации2022
Языканглийский
  • Бахвалов Сергей Юрьевич, автор
  • Библиографическое описание на языке оригинала Chetthamrongchai P, Stepanenko O.G, Saenko N.R, A Developed Optimization Model for Mass Production Scheduling Considering the Role of Waste Materials//International Journal of Industrial Engineering and Management. - 2022. - Vol.13, Is.2. - P.135-144.
    Аннотация Planning, scheduling and delivery of shipments in workshops and factories active in the field of custom manufacturing industries are two important arms in the decision-making process that are used to optimize or reduce the adverse effects of problems in production, so this is one of the important pillars within any company or manufacturing plant. The importance of this issue will become clear when this tool is used in the real world and the production platform to benefit the companies. In this research, we will investigate a medium-term period and a short-term schedule for the production of carton sheets in the printing and packaging industry, and provide a method for separating cutting and scheduling models, as well as an innovative method for the scheduling. The result of the research is the comparison of the proposed method with the common method used in the factory to measure the efficiency
    Ключевые слова Optimization model; Mass production; Production waste; Production schedule; Innovative method
    Название журнала International Journal of Industrial Engineering and Management
    URL https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131939147&doi=10.24867%2fIJIEM-2022-2-307&partnerID=40&md5=7883b852cb9b8b7d29100b02f4d2e910
    Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку https://repository.kpfu.ru/?p_id=269075

    Полная запись метаданных