IDEAS home Printed from https://ideas.repec.org/h/ito/pchaps/215533.html
   My bibliography  Save this book chapter

Conceptualization, Definition and Assessment of Internal Logistics through Different Approaches Using Artificial Intelligence

In: Operations Management - Emerging Trend in the Digital Era

Author

Listed:
  • Andre Luiz Nunes Zogahib
  • Nilson Jose de Oliveira Junior
  • Orlem Pinheiro Pinheiro De Lima
  • Sandro Breval Santiago
  • Carlos Manuel Rodriguez Taboada
  • Jorge Laureano Moya Rodriguez
  • Maida Barbara Reyes Rodriguez
  • Marcia Ribeiro Maduro
  • Paulo Cesar Diniz De Araujo
  • Jose Carlos da Silva Lima

Abstract

The aim of this chapter is to develop a new concept of internal logistics, its components parts and how to evaluate it. To quantify the level of performance of the internal logistics of a company is an important issue to gain competitiveness. There are few papers now at days that analyze how to quantify this issue. In recent years, it has been developed numerous applications of Fuzzy logic and Neural Networks to solve diverse problems of Engineering. Fuzzy logic is a mathematical tool that emulates the method used for humans for managing and processing information and Neural Networks are computing systems inspired by the biological neural networks that constitute human brains. Such systems "learn" to perform tasks by considering examples, generally without being programmed with task-specific rules. This chapter offers a new definition of internal logistics and shows the procedure to evaluate its level in a company. This procedure for assessing the internal logistics was developed through an Excel tab, a fuzzy inference system and a neural network. To validate this procedure, it was applied to 93 companies in the Industrial Pole of Manaus. Results obtained by different approaches are very similar, demonstrating the validity of the procedure developed.

Suggested Citation

  • Andre Luiz Nunes Zogahib & Nilson Jose de Oliveira Junior & Orlem Pinheiro Pinheiro De Lima & Sandro Breval Santiago & Carlos Manuel Rodriguez Taboada & Jorge Laureano Moya Rodriguez & Maida Barbara R, 2021. "Conceptualization, Definition and Assessment of Internal Logistics through Different Approaches Using Artificial Intelligence," Chapters, in: Antonella Petrillo & Fabio De Felice & Germano Lambert-Torres & Erik Leandro Bonaldi (ed.), Operations Management - Emerging Trend in the Digital Era, IntechOpen.
    • Handle: RePEc:ito:pchaps:215533
    DOI: 10.5772/intechopen.94718
    as

    Download full text from publisher

    File URL: https://www.intechopen.com/chapters/74111
    Download Restriction: no
    File URL: https://libkey.io/10.5772/intechopen.94718?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ito:pchaps:215533. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Slobodan Momcilovic (email available below). General contact details of provider: http://www.intechopen.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.