scholarly journals A Framework for Designing Work Systems in Industry 4.0

2019 ◽  
Vol 1 (1) ◽  
pp. 2031-2040
Author(s):  
Bzhwen A Kadir ◽  
Ole Broberg ◽  
Souza da Conceição Carolina ◽  
Nik Grewy Jensen
Keyword(s):  
Industry 4.0 ◽  
Industrial Case Study ◽  
Lean Thinking ◽  
Work Systems ◽  
System Productivity ◽  
Physical Systems ◽  
Human Wellbeing ◽  
Challenges And Opportunities ◽  
Principles Of Design

AbstractThe introduction of new digital technologies in industrial work systems and increasing implementation of Cyber Physical Systems are evoking new and unknown challenges and opportunities related to aspects of human work and organisation. To ensure human wellbeing and overall system productivity, there is a need for interdisciplinary methods and approaches for dealing with the challenges and taking advantage of the opportunities. In this paper, we present a conceptual framework for designing Industry 4.0 enabled work systems, which serves to accommodate this need. The framework combines elements and principles of Design- and Lean thinking methodologies and Human Factors and Ergonomics, thus making it a practical, systematic, and iterative, human centred approach. We use examples from a retrospective industrial case study to illustrate elements of the framework and provide several implications for practitioners.

Generating metamorphic relations for cyber-physical systems with genetic programming: an industrial case study

2021 ◽  
Author(s):  
Jon Ayerdi ◽  
Valerio Terragni ◽  
Aitor Arrieta ◽  
Paolo Tonella ◽  
Goiuria Sagardui ◽  
...  
Keyword(s):  
Genetic Programming ◽  
Cyber Physical Systems ◽  
Industrial Case Study ◽  
Physical Systems

scholarly journals Managerial and Industry 4.0 solutions for fashion supply chains

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marcello Braglia ◽  
Leonardo Marrazzini ◽  
Luca Padellini ◽  
Rinaldo Rinaldi
Keyword(s):  
Supply Chains ◽  
Lean Manufacturing ◽  
Industry 4.0 ◽  
Design Methodology ◽  
Industrial Case Study ◽  
Content Type ◽  
Enabling Technologies ◽  
Production Orders ◽  
Practical Implications

PurposeThe purpose of this paper is to present a structured framework whose objectives are to identify, analyse and eliminate fashion-luxury supply chains inefficiencies.Design/methodology/approachA Lean Manufacturing tool, the 5-Whys Analysis, has been used to find out the root causes associated with the problem identified from a data analysis of production orders of a fashion-luxury company. A case study, which explains the methodology and illustrates the capability of the tool, is provided.FindingsThis tool can be considered a suitable instrument to identify the causal factors of inefficiencies within luxury supply chains, suggesting potential countermeasures able to eliminate the problems previously highlighted. In addition, enabling technologies that deal with Industry 4.0 are associated with the root causes to enable further improvement of the supply chain.Practical implicationsThe effectiveness and practicality of the tool are illustrated using an industrial case study concerning an international Italian signature in the world of fashion-luxury footwear sector.Originality/valueThis framework provides practitioners with an operative tool useful to highlight where the major inefficiencies of fashion-luxury supply chains take place and, at the same time, individuates both the root causes of inefficiencies and the corresponding corrective actions, even considering Industry 4.0 enabling technologies.

scholarly journals Case Study of Building a Digital Twin for a Production System

2021 ◽  
Vol 29 (49) ◽  
pp. 51-58
Author(s):  
Fedor Burčiar ◽  
Pavel Važan ◽  
Simona Pulišová
Keyword(s):  
Production System ◽  
Industry 4.0 ◽  
Production Systems ◽  
Simulation Models ◽  
Cyber Physical Systems ◽  
Production Data ◽  
Physical Systems ◽  
Production Processes ◽  
Gathering Data

Abstract As the term of Industry 4.0 becomes more and more relevant with each passing day, it is up to researchers and companies to find solutions to integrating all the technologies it covers. One of those technologies, even though not highly developed, is simulation and building Cyber-Physical Systems for gathering data and improving the production processes. In the research described in this paper, we focused on integrating production data with simulation models in order to make the process of understanding and learning about complex production systems as simple and as quick as possible. This paper contains three sections. The first one introduces the theoretical fundamentals of our research. The second one focuses on the methods used to create a digital model of production system. The final one discusses the results of the conducted experiments, and their impact on further research.

scholarly journals Ontology-Based Analysis of Manufacturing Processes: Lessons Learned from the Case Study of Wire Harness Production

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-21
Author(s):  
László Nagy ◽  
Tamás Ruppert ◽  
János Abonyi
Keyword(s):  
Industry 4.0 ◽  
Lessons Learned ◽  
Building Industry ◽  
Manufacturing Processes ◽  
Multilayer Network ◽  
Industrial Case Study ◽  
Wire Harness ◽  
Manufacturing Management ◽  
Harness Assembly

Effective information management is critical for the development of manufacturing processes. This paper aims to provide an overview of ontologies that can be utilized in building Industry 4.0 applications. The main contributions of the work are that it highlights ontologies that are suitable for manufacturing management and recommends the multilayer-network-based interpretation and analysis of ontology-based databases. This article not only serves as a reference for engineers and researchers on ontologies but also presents a reproducible industrial case study that describes the ontology-based model of a wire harness assembly manufacturing process.

An industrial case study on discrete event modelling of value stream mapping for Industry 4.0

2020 ◽  
Vol 13 (1) ◽  
pp. 90
Author(s):  
Anthony Waller ◽  
Carsten Teichert ◽  
Aparajithan Sivanathan ◽  
James Ritchie ◽  
Theodore Lim ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Discrete Event ◽  
Value Stream Mapping ◽  
Industrial Case Study ◽  
Value Stream

An industrial case study on discrete event modelling of value stream mapping for Industry 4.0

2020 ◽  
Vol 13 (1) ◽  
pp. 90
Author(s):  
Theodore Lim ◽  
Mathis Linnenbrink ◽  
James Ritchie ◽  
Aparajithan Sivanathan ◽  
Sam Harper ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Discrete Event ◽  
Value Stream Mapping ◽  
Industrial Case Study ◽  
Value Stream

scholarly journals Framework for the Development of Affective and Smart Manufacturing Systems Using Sensorised Surrogate Models

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2274
Author(s):  
María Jesús Ávila-Gutiérrez ◽  
Francisco Aguayo-González ◽  
Juan Ramón Lama-Ruiz
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Human Factor ◽  
Smart Manufacturing ◽  
Physical Systems ◽  
Support Skills ◽  
Key Enabling Technologies ◽  
Smart Manufacturing Systems ◽  
New Framework

Human Factor strategy and management have been affected by the incorporation of Key Enabling Technologies (KETs) of industry 4.0, whereby operator 4.0 has been configured to address the wide variety of cooperative activities and to support skills that operate in VUCA (volatile, uncertain, complex, and ambiguous) environments under the interaction with ubiquitous interfaces on real and virtual hybrid environments of cyber-physical systems. Current human Competences-Capacities that are supported by the technological enablers could result in a radically disempowered human factor. This means that in the processes of optimization and improvement of manufacturing systems from industry 4.0 to industry 5.0, it would be necessary to establish strategies for the empowerment of the human factor, which constitute symbiotic and co-evolutionary socio-technical systems through talent, sustainability, and innovation. This paper establishes a new framework for the design and development of occupational environments 5.0 for the inclusion of singularized operators 4.0, such as individuals with special capacities and talents. A case study for workers and their inclusion in employment is proposed. This model integrates intelligent and inclusive digital solutions in the current workspaces of organizations under digital transformation.

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