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Advances in Industrial Engineering and Management Towards Sustainable Development Goals
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Advances in Industrial Engineering and Management Towards Sustainable Development Goals

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

Deadline for manuscript submissions: 31 October 2025 | Viewed by 3241

Special Issue Editor

Dr. Yanjie Zhou

E-Mail Website
Guest Editor
School of Management, Zhengzhou University, Zhengzhou, China
Interests: combinatorial optimization; industrial engineering; machine learning

Special Issue Information

Dear Colleagues,

The Sustainable Development Goals (SDGs) are a collection of 17 global goals set by the United Nations General Assembly in 2015. Industrial engineering and management play a crucial role in achieving the Sustainable Development Goals (SDGs) through the optimization of processes, systems, and organizations. This Special Issue aims to bring together the latest research findings, case studies, and review articles that showcase the significant contributions of industrial engineering and management towards the SDGs. We welcome submissions that address innovative solutions, methodologies, and best practices that drive sustainable development in various sectors, including but not limited to manufacturing, service, healthcare, energy, and supply chain management.

The following themes will be considered in this issue:

  • Sustainable manufacturing processes: papers focusing on the development and implementation of sustainable and green manufacturing processes, including waste reduction, energy efficiency, and the use of renewable resources;
  • Sustainable transportation: studies on green transportation, shipping networks, and vehicle routing;
  • Supply chain sustainability: research on sustainable supply chain management, including green logistics, closed-loop systems, and the integration of SDGs in supply chain strategies;
  • Humanitarian Engineering: Studies on engineering solutions that address social, economic, and environmental challenges in developing communities, aligning with the SDGs;
  • Healthcare systems and engineering: contributions to improving healthcare delivery systems, patient safety, and access to healthcare services, particularly in low-resource settings;
  • Energy management and policy: analysis of energy policies, energy-efficient systems, and renewable energy integration in industrial and management practices;
  • Circular economy practices: the exploration of circular economy principles within industrial systems, focusing on design for recycling, reusability, and reduced resource consumption;
  • Sustainable decision-making: papers on decision-support systems, multi-criteria decision-making, and risk analysis that incorporate sustainability criteria;
  • Social responsibility and ethics: research on corporate social responsibility, ethical considerations in engineering practices, and stakeholder engagement for sustainable outcomes.

Dr. Yanjie 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

  • industry engineering
  • sustainable manufacturing
  • circular economy
  • supply chain management
  • sustainable decision-making

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (3 papers)

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Research

25 pages, 3147 KiB  
Article
Optimizing Reverse Logistics Network for Waste Electric Vehicle Batteries: The Impact Analysis of Chinese Government Subsidies and Penalties
by Zhiqiang Fan, Xiaoxiao Li, Qing Gao and Shanshan Li
Sustainability 2025, 17(9), 3885; https://doi.org/10.3390/su17093885 - 25 Apr 2025
Viewed by 227
Abstract
The rapid development of the new energy vehicle industry has resulted in a significant number of waste electric vehicle batteries (WEVBs) reaching the end of their useful life. The recycling of these batteries holds both economic and environmental value. As policy is a [...] Read more.
The rapid development of the new energy vehicle industry has resulted in a significant number of waste electric vehicle batteries (WEVBs) reaching the end of their useful life. The recycling of these batteries holds both economic and environmental value. As policy is a critical factor influencing the recycling of waste electric vehicle batteries, its role in the network warrants deeper investigation. Based on this, this study integrates both subsidy and penalty policy into the design of the waste electric vehicle battery reverse logistics network (RLN), aiming to examine the effects of single policy and policy combinations, thereby filling the research gap in the existing literature that predominantly focuses on single-policy perspectives. Considering multiple battery types, different recycling technologies, and uncertain recycling quantities and qualities, this study develops a fuzzy mixed-integer programming model to optimize cost and carbon emission. The fuzzy model is transformed into a deterministic equivalent form using expected intervals, expected values, and fuzzy chance-constrained programming. By normalizing and weighting the upper and lower bounds of the multi-objective functions, the model is transformed into a single-objective optimization problem. The effectiveness of the proposed model and solution method was validated through an empirical study on the construction of a waste electric vehicle battery reverse logistics network in Zhengzhou City. The experimental results demonstrate that combined policy outperforms single policy in balancing economic benefits and environmental protection. The results provide decision-making support for policymakers and industry stakeholders in optimizing reverse logistics networks for waste electric vehicle batteries. Full article
(This article belongs to the Special Issue Advances in Industrial Engineering and Management Towards Sustainable Development Goals)
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17 pages, 2328 KiB  
Article
Development of Collaboration Model for Data Space-Based Open Collaboration Platform in Continuous Process Industries
by Moonsoo Shin
Sustainability 2025, 17(1), 126; https://doi.org/10.3390/su17010126 - 27 Dec 2024
Viewed by 911
Abstract
This study aims to propose a data space-based collaboration platform targeting continuous process industries such as continuous casting of steel and oil refining. The proposed collaboration platform serves as a basic environment in which supply chain participants share data through a data space, [...] Read more.
This study aims to propose a data space-based collaboration platform targeting continuous process industries such as continuous casting of steel and oil refining. The proposed collaboration platform serves as a basic environment in which supply chain participants share data through a data space, further supporting effective collaboration among the participating companies. Specifically, it implements a collaboration model among supply chain participants that reflects the characteristics of continuous process industries in which the supply chain is centered around the core suppliers. In fact, the key issue of continuous process industries is how to effectively distribute the manufacturing capabilities and production capacities of key suppliers with large-scale equipment to demand companies. In this context, this study (1) examines the results of existing research on data space-based collaboration platforms, (2) derives the differentiating factors and implementation strategies of the collaboration process among supply chain participants in continuous process industries, (3) presents the basic structure and operating framework of the collaboration platform, and (4) validates the proposed collaboration model through a simulation study based on a hypothetical scenario. The experimental results show that the proposed method is not only superior to a conventional distributed approach but also achieves similar performance to a centralized approach. Full article
(This article belongs to the Special Issue Advances in Industrial Engineering and Management Towards Sustainable Development Goals)
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27 pages, 5326 KiB  
Article
Seismic Fragility Analysis of Offshore Wind Turbines Considering Site-Specific Ground Responses
by Duc-Vu Ngo, Sang-Il Lee and Dong-Hyawn Kim
Sustainability 2024, 16(23), 10575; https://doi.org/10.3390/su162310575 - 2 Dec 2024
Viewed by 1455
Abstract
This study investigated the seismic performance and assessed the seismic fragility of an existing pentapod suction-bucket-supported offshore wind turbine, focusing on the amplification of earthquake ground motions. A simplified suction bucket–soil interaction model with nonlinear spring elements was employed within a finite element [...] Read more.
This study investigated the seismic performance and assessed the seismic fragility of an existing pentapod suction-bucket-supported offshore wind turbine, focusing on the amplification of earthquake ground motions. A simplified suction bucket–soil interaction model with nonlinear spring elements was employed within a finite element framework, linking the suction bucket and soil to hypothetical points on the OWT structures at the mudline. Unlike conventional approaches using bedrock earthquake records, this study utilized free-field surface motions as input, derived from bedrock ground motions through one-dimensional wave theory propagation to estimate soil-layer-induced amplification effects. The validity of the simplified model was confirmed, enabling effective assessment of seismic vulnerability through fragility curves. These curves revealed that the amplification effect increases the vulnerability of the OWT system, raising the probability of exceeding damage limit states such as horizontal displacement of the tower top, tower stress, and horizontal displacement at the mudline during small to moderate earthquakes, while decreasing this likelihood during strong earthquakes. Comparisons between the Full Model and the simplified Spring Model reveal that the simplified model reduces computational time by approximately 75%, with similar seismic response accuracy, making it a valuable tool for rapid seismic assessments. This research contributes to enhancing seismic design practices for suction-bucket-supported offshore wind turbines by employing a minimalist finite element model approach. Full article
(This article belongs to the Special Issue Advances in Industrial Engineering and Management Towards Sustainable Development Goals)
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