Proposal of a Tool for Determining Sub- and Main Dimension Indicators in Assessing Internal Logistics Readiness for Industry 4.0 within a Company

Peter Poor,Michal Simon,Michal Zoubek

doi:10.3390/app112411817

Abstract

Key elements of Industry 4.0 are the digitization of products and production, enterprise information systems, robotic workplaces, communication infrastructure, and of course, employees. Industry 4.0 transforms production from stand-alone automated units to fully integrated automated and continuously optimized production environments. According to the prediction of Industry 4.0, new global networks will be created based on the interconnection of production equipment into CPS systems. These systems will be the basic building block of the so-called “smart factories”, and will be able to exchange information autonomously, trigger the necessary actions in response to current conditions and mutually independent inspections. The aim of this article is to describe the issue of readiness models for the Industry 4.0 concept, which are commonly used as tools for conceptualizing and measuring the maturity of an organization or process related to a specific target state. Characteristic for the models is their use because, on this basis, it is possible to identify the current readiness for the concept of Industry 4.0 comprehensively in the whole company or in various sub-areas.

Highlights

While the previous industrial phase brought computers and robots to the industry, the Fourth Industrial Revolution connected them and taught them to communicate with each other
After reviewing and analyzing the readiness models, it can be stated that none of the models comprehensively evaluates the readiness of the company within the concept of Industry 4.0 in the field of internal logistics
The assessment is not comprehensive and sufficient even for models that are directly designed for internal logistics

Summary

Introduction

While the previous industrial phase brought computers and robots to the industry, the Fourth Industrial Revolution connected them and taught them to communicate with each other. The key to the concept of smart factories is the ability to interconnect all operating machines and equipment [1], and only within the manufacturing sector. We need more information on the current state of preparedness in industry and especially in mechanical engineering—i.e., a key industry for the implementation of the Industry 4.0 concept [3]. The aim of this article is to describe the issue of readiness models for the Industry 4.0 concept [4], which they commonly use as tools for conceptualizing and measuring the maturity of an organization or process related to a specific target state. Characteristic for the models is their use, because on this basis, it is possible to identify the current readiness for the concept of Industry 4.0 comprehensively in the whole company or in various sub-areas

Objectives

Methods

Results

Discussion

Conclusion