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Research on Environment of the Industry 4.0 Implementation and Operations Management

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

Deadline for manuscript submissions: closed (31 March 2022) | Viewed by 7445

Special Issue Editor


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Guest Editor
Controlling Department, Institute of Management Sciences and Quality, University of Zielona Góra, Licealna 9, 65-417 Zielona Góra, Poland
Interests: operations management; sustainable management; industrial management; engineering management; Industry 4.0

Special Issue Information

Dear Colleagues,

This Special Issue will provide a multidisciplinary forum for those involved in the fields of management and industrial engineering. Scientists and practitioners pay a lot of attention to the technological aspects of Industry 4.0, but relatively little research has been conducted on the issue of operations management. Thus, the main aim of this Special Issue is to explore various approaches and methods of operations management, which will lead to achieving many measurable business benefits of Industry 4.0 implementation.

The application of modern technologies such as the Internet of things, big data analytics, cloud computing, etc. should increase revenues resulting from the individualization of products closely tailored to customer needs and from business scaling. Therefore, enterprises can support Industry 4.0 solutions to create new business models, open up new forms of sales and service channels and monitor and control costs very carefully. The submission of the latest original research, achievements and developments in the form of theoretical and applied papers, as well as critical reviews of the extant literature, are welcomed. The Special Issue will generally cover issues related to the possibilities of using the existing methods of operations management and adapting them to the Industry 4.0 environment as well as proposals for new business models and new methods to support this concept.

Prof. Dr. Anna Saniuk
Guest Editor

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

  • Industry 4.0
  • business models
  • methods and tools for the measurement and control of the efficiency of Industry 4.0 solutions
  • human resource management
  • production management
  • project management
  • process management
  • controlling
  • supply chain management
  • maintenance management
  • total quality management
  • sustainable management
  • decision support systems
  • JiT and lean operations

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Published Papers (2 papers)

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31 pages, 11546 KiB  
Article
An Agile System to Enhance Productivity through a Modified Value Stream Mapping Approach in Industry 4.0: A Novel Approach
by Varun Tripathi, Somnath Chattopadhyaya, Alok Bhadauria, Shubham Sharma, Changhe Li, Danil Yurievich Pimenov, Khaled Giasin, Sunpreet Singh and Girish Dutt Gautam
Sustainability 2021, 13(21), 11997; https://doi.org/10.3390/su132111997 - 29 Oct 2021
Cited by 27 | Viewed by 4624
Abstract
Worldwide, industries are emphasizing the development of an agile system to sustain higher productivity, which can be applied to ensure improvements in all production conditions in industry 4.0. In the present scenario, several methods are used for improvements in production, such as value [...] Read more.
Worldwide, industries are emphasizing the development of an agile system to sustain higher productivity, which can be applied to ensure improvements in all production conditions in industry 4.0. In the present scenario, several methods are used for improvements in production, such as value stream mapping, kaizen, just in time, Kanban, and total productive maintenance, etc., The objective of the present research article is to produce an agile system to sustain improvements in productivity through a methodology coupled with value stream mapping in industry 4.0. Value stream mapping is a lean-based method and is used for the maximization of productivity by the elimination of non-value-added activities. The proposed methodology has been validated by productivity enhancements achieved in a case study of the earthmoving machinery manufacturing sector. The study establishes that the proposed methodology would encourage industry personnel during decision-making processes, which would lead to improvements in production in industry 4.0. Full article
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21 pages, 4625 KiB  
Case Report
Increasing the Environmental Sustainability of an Over-Injection Line for the Automotive Component Industry
by Alexandre L. N. Vieira, Raul D. S. G. Campilho, Francisco J. G. Silva and Luís P. Ferreira
Sustainability 2021, 13(22), 12692; https://doi.org/10.3390/su132212692 - 16 Nov 2021
Cited by 4 | Viewed by 2134
Abstract
Thermoplastic injection is currently employed in different industrial fields. This process has significantly evolved over the years, and injection machine manufacturers are continuously forced to innovate, to improve the energetic efficiency, aiming to reduce costs, improve competitiveness, and promote environmental sustainability. This work [...] Read more.
Thermoplastic injection is currently employed in different industrial fields. This process has significantly evolved over the years, and injection machine manufacturers are continuously forced to innovate, to improve the energetic efficiency, aiming to reduce costs, improve competitiveness, and promote environmental sustainability. This work focuses on the development of a novel, profitable, and environmentally friendly plastic over-injection equipment of small metallic parts for the automotive industry, to be applied in a bowden cable production line, to cover the zamak terminations with plastic, or produce terminations entirely made of plastic. The work is based on an over-sized existing solution. The operating parameters required for the work are quantified, and all machine parts are designed separately to achieve the required functionality. Known approaches are finally used to perform the cost analysis, calculate the return on investment (ROI), and energetic efficiency, to substantiate the replacement of the current solution. The new equipment was able to increase the energetic efficiency of the current assembly line while keeping the required injection rates. An efficient and sustainable solution was presented, with a ROI of 1.2 years over the current solution. The proposed design is also applicable to different automated production lines that require this technology. Nowadays, this concept can be extended to all fields of industry that employ injection molding in their processes, enabling to integrate new manufacturing systems, and increasing energetic efficiency while reducing production costs. Full article
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