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Sustainability
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Lean Manufacturing Strategies and Energy Management for Industry 4.0
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Lean Manufacturing Strategies and Energy Management for Industry 4.0

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Engineering and Science".

Deadline for manuscript submissions: closed (31 March 2022) | Viewed by 24046

Special Issue Editors

Dr. Paolo Cicconi

E-Mail Website
Guest Editor
Department of Industrial, Electronic and Mechanical Engineering, Università degli Studi Roma Tre, Via della Vasca Navale, 79, Rome, Italy
Interests: design tools and methods; design for additive manufacturing; design optimization; design configuration
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Yingjie Yang

E-Mail Website
Co-Guest Editor
School of Computer Science and Informatics, De Montfort University, The Gateway, Leicester LE1 9BH, UK
Interests: computational intelligence; uncertainty modelling; data analytics
Dr. Alessandra Papetti

E-Mail Website
Co-Guest Editor
Department of Industrial Engineering and Mathematical Sciences, Università Politecnica delle Marche, Via Brecce Bianche 12, 60131 Ancona, Italy
Interests: lean manufacturing; human-centered manufacturing; sustainable manufacturing
Special Issues, Collections and Topics in MDPI journals
Dr. Marco Mandolini

E-Mail Website
Co-Guest Editor
Department of Industrial Engineering and Mathematical Sciences, Università Politecnica delle Marche, Via Brecce Bianche 12, 60131 Ancona, Italy
Interests: design methods and tools; design for manufacturing and assembly; design to cost; design for additive manufacturing
Special Issues, Collections and Topics in MDPI journals
Dr. Beata Mrugalska

E-Mail Website
Co-Guest Editor
Faculty of Engineering Management, Poznan University of Technology, Poznań, Poland
Interests: lean manufacturing; human factors; Industry 4.0; process control; remaining useful life; robust design and control
Special Issues, Collections and Topics in MDPI journals
Dr. Marta Rossi

E-Mail Website
Co-Guest Editor
Department of Industrial Engineering and Mathematical Sciences, Università Politecnica delle Marche, via Brecce Bianche 12, 60131, Ancona, Italy
Interests: environmental sustainability; life cycle assessment; sustainable manufacturing; design for environment; eco-design
Special Issues, Collections and Topics in MDPI journals
Dr. Paolo Salini

E-Mail Website
Co-Guest Editor
Department of Industrial and Information Engineering & Economics, Università degli Studi dell’Aquila, Piazzale E.Pontieri, Monteluco di Roio, 67100 L’Aquila, Italy
Interests: operations management; manufacturing systems; production engineering; optimization; resource optimization; logistic

Special Issue Information

Dear Colleagues,

Industry 4.0 is a strategy for being competitive in global markets. This strategy provides the integration of lean production systems with autonomous and dynamic solutions, enhancing the digitalization of data, flows, and machinery. Digital tools support the management and control of lean production. Therefore, the Internet of Things, Cyber-Physical Systems, Big Data, and other technologies are widely applied in Industry 4.0. In this production environment, the role of the operator significantly changes, and new helpers and assistance systems are currently under development. Humans can focus on value-adding activities, while non-adding operations are analyzed and reduced. Moreover, the digitalization of manufacturing systems allows the production flows to be optimized in terms of time and energy. The improvement of energy efficiency is another critical topic in Industry 4.0. 

This Special Issue invites papers presenting methodologies, strategies, tools, and best practices for the optimization of lean manufacturing and energy management in Industry 4.0. Physical, sensorial and cognitive aids for reducing non-ergonomic tasks, while supporting the Operator 4.0 to handle and manage increasingly complex cognitive tasks, are also encouraged. We also welcome papers presenting frameworks and approaches for supporting data management and elaboration in this context. To foster the life cycle design of products and systems, new methods and tools for assessing the economic and environmental impacts of Industry 4.0 factories are encouraged.

Dr. Paolo Cicconi
Prof. Dr. Yingjie Yang
Dr. Alessandra Papetti
Dr. Marco Mandolini
Dr. Beata Mrugalska
Dr. Marta Rossi
Prof. Dr. Paolo Salini
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Lean manufacturing
  • Lean management
  • Energy Value Stream Mapping
  • Industry 4.0
  • Design methods and strategies for lean manufacturing
  • Human-Centered Manufacturing
  • Product-service strategies
  • Flexible logistics
  • Life Cycle Analysis
  • Life Cycle Cost
  • Cyber-Physical systems
  • Big Data analysis
  • Digital processes
  • Cloud computing

Published Papers (5 papers)

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Research

24 pages, 7530 KiB  
Article
Visibility Matrix: Efficient User Interface Modelling for Low-Code Development Platforms
by Robert Waszkowski and Grzegorz Bocewicz
Sustainability 2022, 14(13), 8103; https://0-doi-org.brum.beds.ac.uk/10.3390/su14138103 - 02 Jul 2022
Cited by 5 | Viewed by 1973
Abstract
In this paper, we introduce the idea of the ‘visibility matrix’ for automated data entry form generation in low-code development platforms. We then focus on the problem of software development productivity in the area of automated software generation as the main factor of [...] Read more.
In this paper, we introduce the idea of the ‘visibility matrix’ for automated data entry form generation in low-code development platforms. We then focus on the problem of software development productivity in the area of automated software generation as the main factor of the Industry 4.0 concept in the area of business information. In our study, two different approaches to user interface development in a business process management low-code platform were evaluated. The first, the multi-form model, assumes that input forms are prepared separately for each user task in the business process being automated. The second approach, the single-form model, assumes that there is one global input form for every task in the business process. Since users have access to different data in different process tasks, it is necessary to prepare the visibility matrix to define which data are relevant to which tasks. The experiments presented in this paper help to answer the following question: which approach yields better results in terms of productivity, which is measured as costs and time required to prepare the application? Several dozen real business processes were analysed to examine the properties of their visibility matrix. Additionally, the real project team members were evaluated to determine their productivity. Then, the productivity parameters were calculated for real business processes and real project teams. The results show which approach is better suited for real-world business process development. Full article
(This article belongs to the Special Issue Lean Manufacturing Strategies and Energy Management for Industry 4.0)
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21 pages, 2949 KiB  
Article
Sustainable Manufacturing 4.0—Pathways and Practices
by Hamed Gholami, Falah Abu, Jocelyn Ke Yin Lee, Sasan Sattarpanah Karganroudi and Safian Sharif
Sustainability 2021, 13(24), 13956; https://0-doi-org.brum.beds.ac.uk/10.3390/su132413956 - 17 Dec 2021
Cited by 28 | Viewed by 4689
Abstract
The manufacturing industry has undergone numerous revolutions over the years, with a unanimous acceptance of the greater benefits of being sustainable. The present industrial wave—Industry 4.0—by using its enabling technologies and principles holds great potential to develop sustainable manufacturing paradigms which require balancing [...] Read more.
The manufacturing industry has undergone numerous revolutions over the years, with a unanimous acceptance of the greater benefits of being sustainable. The present industrial wave—Industry 4.0—by using its enabling technologies and principles holds great potential to develop sustainable manufacturing paradigms which require balancing out the three fundamental elements —products, processes, and systems. Yet, numerous stakeholders, including industrial policy and decision makers, remain oblivious of such potential and requirements. Thus, this bibliometric study is aimed at presenting an overview of the broad field of research on the convergence of sustainable manufacturing and Industry 4.0 under the umbrella of “Sustainable Manufacturing 4.0”, which has yet to be developed. It includes the dissemination of original findings on pathways and practices of Industry 4.0 applied to the development of sustainable manufacturing, contributing a bibliometric structure of the literature on the aforementioned convergence to reveal how Industry 4.0 could be used to shift the manufacturing sector to a more sustainable-based state. An initial research agenda for this emerging area has accordingly been presented, which may pave the way for having a futuristic view on Sustainable Manufacturing 5.0 in the next industrial wave, i.e., Industry 5.0. Full article
(This article belongs to the Special Issue Lean Manufacturing Strategies and Energy Management for Industry 4.0)
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14 pages, 1637 KiB  
Article
Business Process Re-Engineering to Digitalise Quality Control Checks for Reducing Physical Waste and Resource Use in a Food Company
by Guillermo Garcia-Garcia, Guy Coulthard, Sandeep Jagtap, Mohamed Afy-Shararah, John Patsavellas and Konstantinos Salonitis
Sustainability 2021, 13(22), 12341; https://0-doi-org.brum.beds.ac.uk/10.3390/su132212341 - 09 Nov 2021
Cited by 12 | Viewed by 4270
Abstract
Quality control is an essential element of manufacturing operations that reduces product defects and provides excellent products of the right specifications to the end consumer. Industry 4.0 solutions, such as digitalisation, along with lean manufacturing tools, may support quality control operations. This paper [...] Read more.
Quality control is an essential element of manufacturing operations that reduces product defects and provides excellent products of the right specifications to the end consumer. Industry 4.0 solutions, such as digitalisation, along with lean manufacturing tools, may support quality control operations. This paper presents a case study of a food company wherein quality control checks were optimised using business process re-engineering to reduce physical waste and resource usage. Following close analysis of the company’s pack-house operations, it was proposed to adopt elements of Industry 4.0 by digitalising the quality control process. Implementing such a solution led to a reduction in the time needed to complete recorded checks, an increase in the time the pack-house quality control team spends with packers on the production lines, and the facilitation of defects identification. It also ensured that the product met the customers’ specifications and reduced the likelihood of rejection at the customers’ depot. The new system also enabled monitoring of each line in real-time and gathering of additional information faster and more accurately. This article proves how employing lean principles in combination with Industry 4.0 technologies can lead to savings in resources and a reduction in waste, which leads to improvements in operational efficiency. Full article
(This article belongs to the Special Issue Lean Manufacturing Strategies and Energy Management for Industry 4.0)
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23 pages, 849 KiB  
Article
Organizational Agility in Industry 4.0: A Systematic Literature Review
by Beata Mrugalska and Junaid Ahmed
Sustainability 2021, 13(15), 8272; https://0-doi-org.brum.beds.ac.uk/10.3390/su13158272 - 23 Jul 2021
Cited by 41 | Viewed by 9331
Abstract
Agility is the dynamic capability of an organization which helps it to manage a change and uncertainties in the environment. The purpose of this research is to review the literature from the perspective of agility in Industry 4.0. This paper systematically reviews 381 [...] Read more.
Agility is the dynamic capability of an organization which helps it to manage a change and uncertainties in the environment. The purpose of this research is to review the literature from the perspective of agility in Industry 4.0. This paper systematically reviews 381 relevant articles from peer-reviewed academic journals in the period of the last five years. The results show that agility is important for an organization to adopt Industry 4.0 technologies as it helps companies to cope with the changes that arise along with the adoption of Industry 4.0 technologies. Further, it also indicates that by adopting Industry 4.0 technologies, companies can significantly enhance their agility capability into various aspects with different technologies. The technologies which enhance the agility are: smart manufacturing, internet of things, cyber-physical system, big data and analytics and cloud computing. On the other hand, important aspects of agility include supply chain, workforce, information system, facilities, management, manufacturing and technology agility. Full article
(This article belongs to the Special Issue Lean Manufacturing Strategies and Energy Management for Industry 4.0)
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24 pages, 1110 KiB  
Article
Key Approaches, Risks, and Product Performance in Managing the Development Process of Complex Products Sustainably
by Salah Ahmed Mohamed Almoslehy and Mohammed Saad Alkahtani
Sustainability 2021, 13(9), 4727; https://0-doi-org.brum.beds.ac.uk/10.3390/su13094727 - 23 Apr 2021
Cited by 6 | Viewed by 2075
Abstract
In the Industry 4.0 environment, being sustainably competitive is essential in global markets. In an endeavor to optimize the added value in the design process of complex products such as robots, managing the development process of such products is studied. The present study [...] Read more.
In the Industry 4.0 environment, being sustainably competitive is essential in global markets. In an endeavor to optimize the added value in the design process of complex products such as robots, managing the development process of such products is studied. The present study identifies the level of product performance that yields maximum return on product development in Industry 4.0. The study also identifies and reviews the key approaches to understanding and managing the design process of such complex products. It has been found that the hybrid approach is the most efficient approach. The study proposes an approach to effectively manage risk in the product design process that hybridizes attributes of both the lean and agile design paradigms. The proposed approach has been validated using five case studies with 99% level of statistical confidence. The results of this study enable efficient development of complex products such as robotic systems towards realizing sustainable competitiveness. Full article
(This article belongs to the Special Issue Lean Manufacturing Strategies and Energy Management for Industry 4.0)
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