• DocumentCode
    58968
  • Title

    New Operational and Decision Support System for Cutting Process Optimization

  • Author

    De Souza, E.M. ; Coppini, N.L. ; Baptista, E.A. ; Rosa, A.F.C. ; Lacerda, F.S.

  • Author_Institution
    Univ. Nove de Julho, Sao Paulo, Brazil
  • Volume
    12
  • Issue
    6
  • fYear
    2014
  • fDate
    Sept. 2014
  • Firstpage
    1169
  • Lastpage
    1175
  • Abstract
    Manufacturing cost minimization and productivity maximization are essential for the machining industries sector to survive in the market. The production shop floor is a source of achieving strategic data, providing information to assist cutting processes optimization and better help to use equipment and resources efficiently. In this sense, the objective of this work is to present the development of a New Cutting Process Operational and Decision Support System which is following the most modern computational architecture (this system is being known in Portuguese as SIAPU. The system development is being based on new optimization cutting process approaches. The expectation is that the system offers features as practicability, usability, mobility, beyond contain a help system intuitive on-line. Finally, this work has concluded that the use of the system in industry shop floor can contribute as a remarkable tool to minimize costs or maximize productivity, given to the industries, an opportunity to look for larger profits.
  • Keywords
    decision support systems; machining; computational architecture; cutting process optimization; decision support system; industry shop floor; machining industries sector; manufacturing cost minimization; mobility; optimization cutting process; production shop floor; productivity maximization; strategic data; usability; Decision support systems; Industries; Internet; Machining; Optimization; Productivity; Software; cutting process; decision support system; operational support system; optimization;
  • fLanguage
    English
  • Journal_Title
    Latin America Transactions, IEEE (Revista IEEE America Latina)
  • Publisher
    ieee
  • ISSN
    1548-0992
  • Type

    jour

  • DOI
    10.1109/TLA.2014.6894016
  • Filename
    6894016