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Special Issue "From Lean to Green Manufacturing"

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: closed (31 January 2022) | Viewed by 1439

Special Issue Editor

Laboratory for Manufacturing Systems and Production Process Planning, Faculty of Mechanical Engineering, University of Ljubljana, 1000 Ljubljana, Slovenia
Interests: lean production; agile and leagile production; teamwork; material flow optimization; lead times optimization of operations and orders; production planning and control systems

Special Issue Information

Dear Colleagues,

Due to the unpredictable and turbulent market, companies that wish to survive and/or increase their profits are attempting to lower their product's price and increase the product's added value. For this purpose, many companies use the lean approach. At the same time, they should also consider the green manufacturing approach if they wish for future generations to live in a clean and healthy environment. The main concern here is how to increase the added value of the product and, at the same time, make efforts to reduce the environmental impact and thus make manufacturing greener with regard to economic sustainability.

The Special Issue aims to combine the optimization of lean manufacturing with the environmental aspect, i.e., the green aspect. In this Special Issue, we invite scientific contributions that address the challenge of connecting lean and green manufacturing from different perspectives and offer innovative answers to this question. The Guest Editor particularly welcomes interdisciplinary papers and encourages the submission of case studies to provide empirical evidence. Both original research articles and reviews are welcome.

I look forward to receiving your contributions.

Dr. Tomaž Berlec
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at 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.


  • lean manufacturing
  • green manufacturing
  • sustainable
  • environment
  • economic sustainability

Published Papers (1 paper)

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16 pages, 1616 KiB  
The Importance of Employees’ Knowledge in Sustainable, Green Manufacturing: Numerical Modeling Approach
Sustainability 2022, 14(3), 1344; - 25 Jan 2022
Cited by 1 | Viewed by 1132
The employees’ knowledge level is crucial because it ensures the long-term social, environmental, and financial sustainability of a company’s operations on the global market. In doing so, there is a problem of how to measure the employees’ knowledge level within the segment, and [...] Read more.
The employees’ knowledge level is crucial because it ensures the long-term social, environmental, and financial sustainability of a company’s operations on the global market. In doing so, there is a problem of how to measure the employees’ knowledge level within the segment, and improve it based on performed measures. In our research, we proposed the use of real-world problem solving for the purpose of determining and improving the employees’ knowledge level potential. In the study, we present a numerical modeling approach to evaluate real-world problem-solving capabilities and find out how the captured data influence the important parameters for determining the employee’s knowledge level. We have measured seven parameters (number of solutions, technological feasibility of the proposed solutions, team thinking activities, age, prior knowledge about sustainable production methods, and education level). By using linear regression, we have defined general forms of functional dependencies that enable the individual company to calculate and, if necessary, increase the employees’ knowledge level for their team. The results of the research show the correlation dependence of individual parameters, in which we found a close relationship between the employees’ knowledge level and age, as well as the technological feasibility of proposed solutions and educational level. In the final phase of the research, we conducted an experiment with mixed groups consisting of participants from different age groups, with the results showing a high degree of intergenerational integration importance. Full article
(This article belongs to the Special Issue From Lean to Green Manufacturing)
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