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

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 and Jose Carlos da Silva Lima

A chapter in Operations Management - Emerging Trend in the Digital Era from IntechOpen

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.

Keywords: internal logistics; measurement; neural networks; fuzzy logic; performance; industrial companies (search for similar items in EconPapers)
JEL-codes: M11 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:ito:pchaps:215533

DOI: 10.5772/intechopen.94718

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