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Industrial and Systems Engineering (ISE) for Sustainable Development

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

Deadline for manuscript submissions: closed (30 April 2025) | Viewed by 910

Special Issue Editor


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Guest Editor
School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0205, USA
Interests: Industry 5.0; broader efficiency toward human long-term well-being

Special Issue Information

Dear Colleagues,

Industrial and Systems Engineering (ISE) has contributed greatly to making our lives better by improving efficiency in complex systems. However, it is clear that rapid industrial development is not sustainable socially, environmentally, or economically. The system approach used in ISE has shown major impact in the design and analysis of complex systems to address challenges under the Industry 5.0 umbrella to advance the sustainable developments with focus on long-term human well-being.

The aim of this Special Issue is to collect a representative resource of research that applies the Industrial and Systems Engineering (ISE) methods to move toward the relevant targets of the United Nation’s sustainable development goals.

For example, the United Nation’s (UN) SDG 12 Responsible Consumption and Production is aimed at the design of systems in which the consumers reduce the consumption of products, reuse the products, and recycle the products after use. This SDG also aims toward the design of production or supply systems that reduce, reuse, and recycle the materials and energy in the circular economy. In the mono-culture, modern mass production often leads to a loss of tradition, racial and national identity, culture, ethical standards, and family solidarity. Responsible production also involves the employment and long-term well-being of the operators. These systems can also lead to inequality, unfairness, and poor operator health, both physically and mentally. The ISE tools can be used to address many challenges in the other UN SDGs.

The authors can focus on any of the UN SDGs that utilize system thinking and industrial engineering tools in experimental, computational, and theoretical research related to understanding and impact assessments of change regarding social and environmental sustainability in a sustainable economic environment.

I look forward to receiving your contributions.

Dr. Chen Zhou
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

  • reuse
  • recycle
  • waste reduction
  • circular economy
  • life cycle assessment
  • conservation
  • efficiency
  • fairness
  • equity

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Published Papers (1 paper)

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Research

23 pages, 3287 KiB  
Article
Facilitating LCA During Product Development by Automated Inventory Model Generation Using SysML System Models
by Maximilian Lindemann, Georg Jacobs, Jennifer Dreier, Stefan Wischmann, Gregor Höpfner and Julius Berges
Sustainability 2025, 17(11), 4783; https://doi.org/10.3390/su17114783 - 22 May 2025
Viewed by 644
Abstract
Rising consumer demand and stricter regulations regarding sustainability are leading to an increasing consideration of sustainability aspects during product development. To evaluate environmental impacts, life cycle assessments (LCAs) are established as the most comprehensive method. However, the extensive data-need for setting up the [...] Read more.
Rising consumer demand and stricter regulations regarding sustainability are leading to an increasing consideration of sustainability aspects during product development. To evaluate environmental impacts, life cycle assessments (LCAs) are established as the most comprehensive method. However, the extensive data-need for setting up the life cycle inventory (LCI) model limits their widespread application. Moreover, LCAs are normally conducted post-development, offering no support in decision making during the development process. An approach is needed that provides product-specific information during product development to be used in LCAs to allow the execution of LCAs already during product development. Model-based systems engineering (MBSE) promises to meet this need by providing a framework for seamless interdisciplinary product development. A central element in many MBSE approaches is a SysML system model that describes the architecture and behavior of the product and provides all relevant information for needed domain-specific models. In this contribution, a novel approach is presented utilizing a SysML system model to automatically execute an impact assessment within an LCA tool. For this, the minimum data-need for setting up LCI models in established LCA tools is analyzed, and a framework for modeling life cycles in SysML system models is presented. To allow an automated execution of an LCA, an interface between a SysML tool and an LCA tool is implemented. In the example of a laser-structured metal part, this contribution shows that SysML system models are suited to provide the needed product-specific data for setting up LCI models and that they can be utilized to execute LCAs already during product development. Full article
(This article belongs to the Special Issue Industrial and Systems Engineering (ISE) for Sustainable Development)
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