Presenting an Innovative Process Improvement Method for the Efficient Forklift Material Handling Systems in the Industry 4.0

2020 ◽  
Vol 14 (1) ◽  
pp. 32-38
Author(s):  
Róbert Skapinyecz ◽  
Béla Illés ◽  
Tamás Bányai ◽  
Umetaliev Akylbek ◽  
Ibolya Hardai ◽  
...  
Keyword(s):  
Process Improvement ◽  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Material Handling ◽  
Data Transfer ◽  
Manufacturing Sector ◽  
Manufacturing Companies ◽  
Time Data ◽  
Material Handling Systems ◽  
Improvement Method

The rapid adoption of Industry 4.0 principles in the manufacturing sector during the last couple of years has created numerous possibilities for development. One key area related to manufacturing in which Industry 4.0 solutions can have a significant impact is the field of materials handling. However, today the majority of manufacturing companies still overly rely on the utilization of standard forklift material handling systems for supporting their operations. In this paper, our goal is to present a novel process improvement method utilizing Industry 4.0 principles which could significantly aid in the design of efficient forklift material handling systems. We believe that by utilizing the opportunities inherent in Industry 4.0 (in this case mainly sensor systems, big data analysis, digitalization and real-time data transfer), forklift based material handling can be elevated to an entirely new level in terms of efficiency, which could greatly improve the overall performance of the vast majority of manufacturing systems.

scholarly journals Designing Efficient Material Handling Systems Via Automated Guided Vehicles (AGVs)

2018 ◽  
Vol 5 (2) ◽  
pp. 97 ◽  
Author(s):  
Carlos Llopis-Albert ◽  
Francisco Rubio ◽  
Francisco Valero
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Material Handling ◽  
Qualitative Comparative Analysis ◽  
Decision Makers ◽  
Automated Guided Vehicles ◽  
Managerial Decision ◽  
Material Handling Systems ◽  
Level Of Satisfaction ◽  
Key Factor

<p class="Textoindependiente21">The designing of an efficient warehouse management system is a key factor to improve productivity and reduce costs. The use of Automated Guided Vehicles (AVGs) in Material Handling Systems (MHS) and Flexible Manufacturing Systems (FMS) can help to that purpose. This paper is intended to provide insight regarding the technical and financial suitability of the implementation of a fleet of AGVs. This is carried out by means of a fuzzy set/qualitative comparative analysis (fsQCA) by measuring the level of satisfaction of managerial decision makers.</p>

scholarly journals An Innovative Industry 4.0 Cloud Data Transfer Method for an Automated Waste Collection System

2020 ◽  
Vol 12 (5) ◽  
pp. 1839 ◽  
Author(s):  
Costel Emil Cotet ◽  
Gicu Calin Deac ◽  
Crina Narcisa Deac ◽  
Cicerone Laurentiu Popa
Keyword(s):  
Industry 4.0 ◽  
Data Transfer ◽  
Waste Collection ◽  
Collection System ◽  
Time Data ◽  
Cloud Data ◽  
Data Encoding ◽  
Big Data Applications ◽  
Transfer Method ◽  
Cloud Applications

Moving to Industry 4.0 involves the collection of massive amounts of data and the development of big data applications that can ensure a quick data flow between different systems, including massive amounts of data and information collection from smart sensors, and sending them to cloud applications that allow real-time data monitoring and processing. Securing and protecting the transmitted data represents a big issue to be discussed and resolved. In the paper, we propose a new method of data encoding and encryption for cloud applications using PNG format images. The proposed method is described in comparison with one of the classical methods of data encoding and transmission used currently. The paper includes a case study in which the proposed method was used to collect and transmit data from an automated waste collection system. The results show that the proposed method represents a secure, fast and efficient way to send and store the data in the cloud compared to the methods currently used. The proposed method is not limited to being used only in waste management but can be used successfully for any type of manufacturing system from smart factories.

scholarly journals Development of a reconfigurable pallet system for a robotic cell

2018 ◽  
Vol 210 ◽  
pp. 02003
Author(s):  
Martin Koekemoer ◽  
Igor Gorlach
Keyword(s):  
Manufacturing Systems ◽  
Material Handling ◽  
Low Cost ◽  
Robotic Assembly ◽  
Main Task ◽  
Material Handling System ◽  
Production Environment ◽  
Handling System ◽  
High Productivity ◽  
Material Handling Systems

Advanced manufacturing systems allow rapid changes of production processes by means of reconfigurability providing mass customisation of products with high productivity, quality and low costs. Reconfigurable Manufacturing Systems (RMS) employ conventional as well as special purpose CNC machines, robots and material handling systems. In customised automated assembly, a number of different workpieces need to be processed simultaneously at various workstations according to their process plans. Therefore, a material handling system is an important part of RMS, whose main task is to provide reliable, accurate and efficient transfer of materials according to the process scheduling, without bottlenecks and stoppages. In this research, a reconfigurable pallet system was developed to facilitate automated robotic assembly for a highly customised production environment. The aim is to design a material handling system for conveying, sorting and processing of parts, which are supplied by robots and part feeders in different configurations. The developed pallet system provides a low-cost solution and it includes four flexible conveyors and part handling devices. All the elements of the system were successfully integrated with an intelligent controller. A user-friendly human machine interface provides easy reconfigurability of the pallet system and interfacing with robots, processing stations and part feeding sub-systems. The main advantages of the developed material handling system are the ease of operation, its reconfigurability and low-cost. The system demonstrates the advantages of reconfigurable material handling systems and it can be employed for training purposes.

Case-based reasoning for complexity management in Industry 4.0

2020 ◽  
Vol 31 (5) ◽  
pp. 999-1021
Author(s):  
Peter Schott ◽  
Matthias Lederer ◽  
Isabella Eigner ◽  
Freimut Bodendorf
Keyword(s):  
Knowledge Transfer ◽  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Production Optimization ◽  
Case Based Reasoning ◽  
Manufacturing Companies ◽  
Content Type ◽  
Complexity Management ◽  
Managing Complexity ◽  
Case Based

PurposeIncreasingly, dynamic market environments lead to growing complexity in manufacturing and pose a severe threat for the competitiveness of manufacturing companies. Systematic guidance to manage this complexity, especially in the context of Industry 4.0 and the therewith rising trends such as digitalization and data-driven production optimization, is lacking. To address this deficit a case-based reasoning (CBR) system for providing knowledge about managing complexity in Industry 4.0 is presented.Design/methodology/approachFirst, the explicit knowledge representation for managing complexity in IT-based manufacturing is introduced. Second, the CBR process step to retrieve knowledge from an artificially composed case base with in total 70 cases of data-based complexity management in the context of Industry 4.0 is set out. Third, knowledge transfer alongside several maturity levels of information technology capabilities of manufacturing systems for reuse in new problem scenarios is introduced.FindingsThe paper comprises the conceptual approach for designing a CBR system to support data-based complexity management in manufacturing systems. Furthermore, the appropriateness of the CBR system to provide applicable knowledge for reducing and managing complexity in corporate practice is shown.Research limitations/implicationsThe presented research results are evaluated in the course of an embedded single case study and may therefore lack generalizability. Future research to test and enhance the appropriateness of the developed CBR system will strengthen the research contribution.Originality/valueThe paper provides a novel approach to systematically support knowledge transfer for data-based complexity management by transferring the well-known and established methodology of CBR to the rising application domain of manufacturing systems in the context of Industry 4.0.

Potential COVID-19 impacts on the transition to Industry 4.0 in the Brazilian manufacturing sector

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gustavo Tietz Cazeri ◽  
Rosley Anholon ◽  
Luis Antonio Santa-Eulalia ◽  
Izabela Simon Rampasso
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Sector ◽  
Transition Process ◽  
Theoretical Background ◽  
Manufacturing Companies ◽  
Content Type ◽  
Digital Revolution ◽  
Policy Debates ◽  
Unstable Environment ◽  
World Class

PurposeThe purpose of this viewpoint is to present some reflections about the coronavirus disease 2019 (COVID-19) pandemic impacts on the transition to Industry 4.0 in the Brazilian manufacturing sector context.Design/methodology/approachInitially, a bibliographic research study was carried out to establish a theoretical background and contextualization. After analysing different kinds of documents, the authors of this viewpoint discussed potential COVID-19 impacts on the transition to Industry 4.0 in the Brazilian manufacturing sector. A multidisciplinary discursive approach was used in the debates.FindingsThe COVID-19 pandemic will negatively influence the transition of Brazilian manufacturing sector to Industry 4.0. Despite the fact that some “World Class Companies” based in Brazil still continue the transition process towards the “Digital Revolution”, most of Brazilian manufacturing companies are postponing important initiatives related to Industry 4.0 due to uncertainties. In addition, policies promoting innovation are increasingly necessary.Practical implicationsThis viewpoint presents interesting implications for researchers and society. Researchers can use these reflections to structure surveys or case studies to better understand the aforementioned impacts on companies due to the pandemic. These reflections can also be used by society for public policy debates. For companies, the information presented highlights the relevance of Industry 4.0 as an important phenomenon to manufacturing sector and companies' competitiveness.Originality/valueThis viewpoint presents reflections which may be used to encourage debates about how to manage digital transformation in the manufacturing sector during an unstable environment.

Key Enablers Assessment to Implement Industry 4.0 Technologies in the Future for the Turkish Manufacturing Sector

2021 ◽  
pp. 243-265
Author(s):  
Ahmet Çalık
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Manufacturing Sector ◽  
Manufacturing Companies ◽  
Analytic Hierarchy ◽  
Adoption And Implementation ◽  
Machinery Manufacturing ◽  
Hierarchy Process ◽  
Production And Operation

Industry 4.0 (I4.0), which reshapes traditional production and operation methods and causes companies to be under digital transformation, is currently an evolving research topic. Although advanced technologies can be easily adopted by large companies. In particular, there are still challenges in the adoption and implementation of I4.0 technologies in small and medium-sized enterprises (SMEs). This study examines the readiness of companies in the machinery manufacturing industry to implement I4.0 technologies in the context of SMEs. To achieve this goal, a multi-criteria decision-making (MCDM) approach including the pythagorean Fuzzy Analytic Hierarchy Process (PFAHP) and fuzzy VIKOR (FVIKOR) is proposed. First, existing readiness models linked to the implementation of I4.0 technologies have been studied to specify key enablers. Then, the PFAHP method is used to obtain weights of enablers on I4.0 technologies. Finally, FVIKOR is applied to obtain ranking for five companies. A case study is conducted to measure the level of readiness of five manufacturing companies in Konya.

scholarly journals Impact of Industry 4.0 in Manufacturing Sector

2021 ◽  
Vol 7 (6) ◽  
pp. 25-33
Author(s):  
Samiha Al Zadjali ◽  
Asad Ullah
Keyword(s):  
Supply Chain ◽  
Industry 4.0 ◽  
Manufacturing Sector ◽  
High Tech ◽  
Manufacturing Companies ◽  
Relevant Research

In this relevant research literatures have been reviewed and the findings have been presented in a concise way. Industry 4.0 is a technology that has been developed in the year 2011 during a project of high-tech strategies by German scientists. Many companies are using Industry 4.0 to enhance their productivity. Especially, the manufacturing companies use this technology for monitoring their production and related organizational operations so that they can take necessary initiatives for managing their supply chain and logistics.

Digital retrofit: A first step toward the adoption of Industry 4.0 to the manufacturing systems of small and medium-sized enterprises

2020 ◽  
Vol 234 (8) ◽  
pp. 1156-1169 ◽  
Author(s):  
José I García ◽  
Ruth E Cano ◽  
Juan D Contreras
Keyword(s):  
Value Chain ◽  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Manufacturing Sector ◽  
New Paradigm ◽  
Manufacturing Resources ◽  
Employment Generation ◽  
Large Investment ◽  
The Way

In recent years, Industry 4.0 has gained relevance in the manufacturing sector. On one hand, it is expected that this new paradigm will affect the entire value chain and increase the capabilities of the manufacturing system as a whole, in terms of interoperability and communication throughout factories and beyond. On the other hand, considering that small and medium-sized enterprises represent one of the main forces in economic development and employment generation, focus is shifting toward said manufacturing paradigm in order to ensure competitiveness in the market in the nearby future. However, economic factors could stand in the way of this migration. Thus, digital retrofit is seen as a possibility for the integration of Industry 4.0, paving the way for unappealing technologies to large investment opportunities. In this article, a thorough literary review is performed regarding the formal implementation of Industry 4.0 applications. The result is the Asset Administration Shell model. Afterward, a methodology is proposed for the design and implementation of the Asset Administration Shell, leading to a digital retrofit approach for manufacturing resources. Finally, the methodology is applied in a turning station, thereby validating an increase in the communication and interoperability of the station, which can be used to add overall value to the manufacturing system.

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