A perspective on Industry 4.0 from Automotive Manufacturing

2015 ◽  
Author(s):  
D. Vera
Keyword(s):  
Industry 4.0 ◽  
Automotive Manufacturing

scholarly journals Measuring the Implications of Sustainable Manufacturing in the Context of Industry 4.0

Processes ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 585 ◽  
Author(s):  
Larisa Ivascu
Keyword(s):  
Sustainable Development ◽  
Organizational Development ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Sustainability Assessment ◽  
Sustainable Manufacturing ◽  
Organizational Capacity ◽  
Online Questionnaire ◽  
Automotive Manufacturing ◽  
Hierarchical Framework

Sustainability is increasingly being addressed globally. The manufacturing industry faces various constraints and opportunities related to sustainable development. Currently, there are few methodological frameworks for evaluating sustainable organizational development. Assessing and improving organizational capacity is important for producers and researchers in the field and local, national, and international authorities. This research proposes a hierarchical framework for sustainability assessment of manufacturing industry in Romania. The proposed framework integrates performance elements and measures to improve all the processes and activities from the triple perspective of sustainability. Sustainability assessment captures the entire supply chain of the organization, including stakeholder interests and end-of-life directions for products. To establish the elements to be integrated in the development of the proposed framework, market research (online questionnaire-for the characterization of Industry 4.0) and the Delphi method were used to identify the categories of performance indicators that must be measured to identify organizational capacity for sustainable development. The framework was tested by an automotive manufacturing organization. A number of improvements have been identified that relate to Industry 4.0 facilities and the application of the facilities related to recovering the value of the product at the end of its life cycle. This hierarchical framework can be customized in detail for the specific of each organization and can be adapted in other industries, including banking, retail, and other services. It can be observed that waste management and the interests of the stakeholders are major implications that must be measured and properly motivated.

The Readiness of Automotive Manufacturing Company on Industrial 4.0 Towards Quality Performance

2020 ◽  
Vol 12 (7) ◽  
Author(s):  
Rosmaini Tasmin ◽  
◽  
Nurul Syahira Rahman ◽  
Ishaq Jaafar ◽  
Nor Aziati Abd Hamid ◽  
...  
Keyword(s):  
Enterprise Resource Planning ◽  
Industry 4.0 ◽  
Middle Management ◽  
Resource Planning ◽  
Future Research ◽  
Quality Performance ◽  
Manufacturing Firm ◽  
Automotive Manufacturing ◽  
Industrial Sectors ◽  
Manufacturing Company

This research is focusing on analyzing readiness of automotive manufacturing firm on Industry 4.0 towards quality performance. In the era of globalization, most manufacturing firms all over the world are constantly looking for ways to increase productivity. The manufacturing industry is mainly faced with the problem of Industry 4.0’s awareness and implementation. Top and middle management of DRB-HICOM Automotive manufacturing firm from all departments have been selected as a sample study. The questionnaire has been used to get the feedback from top and middle management about readiness of Industry 4.0. There are three main objectives that were assessing the level of firm’s characteristics, determining the level of Industry 4.0 readiness for DRB-HICOM Automotive manufacturing company, namely via variables of Applied Technology, Enterprise Resource Planning (ERP), Internet of Things (IoT), Cyber Physical System (CPS) and determining the relationship between the Industry 4.0 and quality performance. Quantitative method was used in this research which incoperates the distribution of 96 questionnaires to the respondents involving DRB-HICOM Automotive manufacturing firm. In terms of conducting the required data analysis, Statistical Package for Social Science (SPSS) version 22 was used. Result shows that all related constructs have a significant yet strong relationship between Industry 4.0 and quality performance. It is hoped that this initial Industry 4.0 work will help to spur future research about implementation of Industry 4.0, across the boards among many industrial sectors.

Augmented Reality in the Context of Automotive Manufacturing

2020 ◽  
pp. 95-110
Author(s):  
Gisela Pires Garcia
Keyword(s):  
Virtual Reality ◽  
Augmented Reality ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Large Scale ◽  
Industrial Revolution ◽  
Shop Floor ◽  
New Work ◽  
Automotive Manufacturing ◽  
Digital World

The 4th industrial revolution based on the digitization of industrial processes, on the connection of the equipment between them, and on new interfaces with the humans, will require new work contexts and new organizations (Cyber-Physical System and Internet of Things). Virtual Reality (VR) and Augmented Reality (AR) will contribute in a large scale for the automotive industry transition to the Industry 4.0 paradigm. This chapter provides an overview of these versatile technologies in the context of industrial production, where these technologies will allow the real world of the shop floor to merge with a digital world of simulations, predictions, and automation.

scholarly journals BDCPS — A Framework for Smart Manufacturing Systems using Blockchain Technology

2019 ◽  
Vol 9 (1S3) ◽  
pp. 366-378
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Real Life ◽  
Cloud Services ◽  
Smart Manufacturing ◽  
Small Scale ◽  
Automotive Manufacturing ◽  
Blockchain Technology ◽  
Decentralized Decision Making ◽  
Smart Manufacturing Systems

Blockchain is going to be the most fundamental technology, and will change the world — going forward. In fact, the revolution has already begun. The birth of Industry 4.0 aka the Fourth Industrial Relution (I4.0), has created a need for autonomous and integrated, secure manufacturing systems. The current smart systems lack the decentralized decision making and real-time communication infrastructure, which is a condition for adaptive, smart manufacturing systems. In this paper, an autonomous, secure and collaborative platform based on Blockchain technology, is presented to adapt to such results. In support with Internet of Things (IoT) and cloud services, a Blockchain Driven Cyber Physical Production System (BDCPS) architecture is designed to communicate with machines, users, devices, suppliers and other peers. Using the Smart Contracts feature and trust-less peer-to-peer decentralized ledger feature, BDCPS will validate the claim with a small-scale real-life Blockchain with IoT system. This implementation case study will be running a private Blockchain on a single board computer, and bridged to a microcontroller containing IoT sensors. The applications of this system in automotive manufacturing industry are presented, to proceed towards Industry 4.0.

scholarly journals Enhancement of Time-Driven Activity–Based Costing (TDABC) by using Simulation in Manufacturing Process towards Industry 4.0

2019 ◽  
Vol 8 (10) ◽  
pp. 1895-1900 ◽  
Keyword(s):  
Simulation Model ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Model Simulation ◽  
Conventional Technique ◽  
Cost Driver ◽  
Production Costs ◽  
Activity Based Costing ◽  
Automotive Manufacturing ◽  
Costing System

The new industrial revolution brings changes to organizations that will need to adapt their system to sustain their business in a highly competitive market. In term of costing, most manufacturers continuously working towards reducing production costs by focusing on activities process improvement and resources as a cost driver. One of the current problems faced by most manufacturers that adopted Time-Driven Activity-Based Costing (TDABC) is lack of combined used of simulation as a tool for validation. Conventional technique also caused users estimated incorrect variables consideration to the costing system. The purpose of this paper is to provide a system for managers or decision makers to analyze results which can significantly reduce production costs by eliminating unnecessary resources with the aid of a simulation model. Simulation was proposed as new approach to determine the optimum results based on the given scenarios. An analysis on how the framework was implemented at an automotive manufacturing company was illustrated the enhancement of TDABC by using simulation. Results of conventional method using Activity Based Costing (ABC) was compared with TDABC where existing production layouts and parameters were maintained. Simulation model was created based on current situation and the results were compared to the old method. The results indicated that simulation can easily be adapted to support the planned and operational TDABC activities. Towards industry 4.0 it was proven that simulation is one of the key technologies in the new industrial revolution. Besides that, TDABC methodology in this research is more accurate and faster, by means of an enhanced decision-making process and supported organization manufacturing system.

The Role of Machine Vision in Industry 4.0: an automotive manufacturing perspective

2021 ◽  
Author(s):  
Fotios K. Konstantinidis ◽  
Spyridon G. Mouroutsos ◽  
Antonios Gasteratos
Keyword(s):  
Machine Vision ◽  
Industry 4.0 ◽  
Automotive Manufacturing
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