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Sustainability
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Sustainable Operations Management, Shared Manufacturing and Green Logistics
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Sustainable Operations Management, Shared Manufacturing and Green Logistics

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

Deadline for manuscript submissions: closed (1 April 2024) | Viewed by 4841

Special Issue Editors

Prof. Dr. Pengyu Yan

E-Mail Website
Guest Editor
School of Management and Economics, University of Electronic Science and Technology of China, Chengdu 611731, China
Interests: operations management for platforms and shared economics; reinforcement learning
Prof. Dr. Eugene Levner

E-Mail Website
Guest Editor
Department of Computer Science, Holon Institute of Technology, Holon 5810201, Israel
Interests: design and analysis of computer algorithms; artificial-intelligence-based algorithms; green supply chains; cybersecurity algorithms in networks
Special Issues, Collections and Topics in MDPI journals
Dr. Zhibin Chen

E-Mail Website
Guest Editor
Division of Engineering and Computer Science, NYU Shanghai, Shanghai 200122, China
Interests: Interests: network modeling and optimization; AI in transportation
Prof. Dr. Fei Ma

E-Mail Website
Guest Editor
School of Economics and Management, Chang’an University, Xi’an 710064, China
Interests: resilience optimization of urban infrastructure; logistics engineering and supply chain management; green and low-carbon traffic (engineering) management

Special Issue Information

Dear Colleagues,

In recent years, greenhouse gas emissions, resource depletion, environmental pollution, and other social issues have raised the awareness of sustainable development. Many companies have been reevaluating and adjusting their strategies in operations management and logistics activities to strike a better balance of their economic effectiveness and environmental sustainability. To this end, over the past several decades, a multitude of models, methods, and algorithms of sustainable operations management and green logistics have been proposed and applied in practice. However, with the rapid development of new economic forms and advanced technologies, there is an urgent need for researchers to investigate how to capture the opportunities and tackle the challenges in sustainable operations and green logistics management in the new era when manufacturing is under unprecedented pressure to achieve cost and environmental impact reductions. Shared manufacturing, also referred to as cloud manufacturing, offers a solution approach, as it is capable of making intelligent decisions to provide the most sustainable manufacturing route available.

Therefore, the Special Issue aims to contribute to providing innovative theoretical methods and empirical findings to operations, shared manufacturing, and logistics management in order to realize sustainable and green development goals. This Special Issue welcomes the submission of literature reviews, conceptual theory developments, optimization models and algorithms, and empirical studies. 

The topics of interest include, but are not limited to:

  • Sustainable production planning and scheduling;
  • Shared manufacturing modes and algorithms;
  • Green supply chain management;
  • Green logistics operation;
  • Reverse logistics;
  • Sustainable supply chain and COVID-19 pandemic;
  • Shared mobility and circular economy.

Prof. Dr. Pengyu Yan
Prof. Dr. Eugene Levner
Dr. Zhibin Chen
Prof. Dr. Fei Ma
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

  • sustainable operations management
  • shared manufacturing
  • green logistics
  • sustainable supply chain management

Published Papers (5 papers)

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Research

21 pages, 2170 KiB  
Article
The Implications of the Spillover Effect Related to Green Co-Creation in a Supply Chain
by Weijia Kong, Yunfei Shao, Simeng Wang, Wei Yan and Yawen Liu
Sustainability 2024, 16(9), 3704; https://doi.org/10.3390/su16093704 - 28 Apr 2024
Viewed by 495
Abstract
Driven by environmental concerns, firms close to end-users are increasingly co-creating with customers for green product development within their supply chains. However, a challenge called “spillover” can hinder the incentive for green co-creation by these firms. This paper examines the spillover issue in [...] Read more.
Driven by environmental concerns, firms close to end-users are increasingly co-creating with customers for green product development within their supply chains. However, a challenge called “spillover” can hinder the incentive for green co-creation by these firms. This paper examines the spillover issue in a dual-channel structure, where downstream firms implement co-creation with customers for green product development. Our findings indicate that spillover from green investments can negatively impact the investing firm’s profits. However, in low-competition scenarios, spillover benefits the supplier and customers within the supply chain. Additionally, under specific circumstances, it can improve overall supply chain performance. Crucially, to safeguard the sustainability of green co-creation in supply chains and prevent detrimental co-destruction, we propose implementing revenue-sharing contracts that can generate Pareto improvements, benefiting all green supply chain members. As a result, unlike traditional intellectual property protection, which hinders spillover, this study offers an alternative strategy that is also somewhat complementary, promoting collaboration over restrictions to leverage the positive aspects of spillover. Full article
(This article belongs to the Special Issue Sustainable Operations Management, Shared Manufacturing and Green Logistics)
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17 pages, 1844 KiB  
Article
Analysis of the Network Efficiency of Chinese Ports in Global Shipping under the Impacts of Typhoons
by Tianni Wang, Haochen Feng, Mark Ching-Pong Poo and Yui-Yip Lau
Sustainability 2024, 16(8), 3190; https://doi.org/10.3390/su16083190 - 11 Apr 2024
Viewed by 572
Abstract
With the increasing volume of international trade and maritime demand, the requirements for the stability and reliability of the global shipping system are also increasing. The research on the network efficiency of Chinese ports for global shipping can not only examine the importance [...] Read more.
With the increasing volume of international trade and maritime demand, the requirements for the stability and reliability of the global shipping system are also increasing. The research on the network efficiency of Chinese ports for global shipping can not only examine the importance of Chinese ports in the shipping network but also find out the aspects that need to be improved in the construction of the port’s climate adaptability in the resilience assessment to strengthen port construction and further improve the efficiency of the network. The current study builds a shipping network based on RCEP and systematically examines the key ports in China within the networks. The research paper aims to improve the resilience of the ports and the whole shipping network in response to typhoon disasters. As such, this paper focuses on shipping research based on complex networks and network multi-centricity analysis, followed by a ranking of ports. Firstly, this paper uses UCINET 6 software to build a global shipping network. Such a network evaluates the centrality of ports, calculates the degree of centrality, proximity to centrality, and centrality, and scores them according to the ranking. Then, it selects the top 20 ports in China according to the ranking and researches network efficiency for the listed ports considering the typhoon risks. The analysis of network robustness, average shortest path length, and network efficiency are carried out for the shipping network and China’s essential port nodes in the network. According to the experimental results, no matter the robustness, average shortest path length, or network efficiency, when the important ports of China in the shipping network are affected, they will cause different degrees of impact, and the performance loss caused by multiple ports is higher than that of a single port. They emphasise the significant impact of typhoons on multiple ports and remind people to minimise losses as much as possible based on experimental results, ensuring the stable operation of ports and improving resilience in typhoon prevention under the changing climate. Additionally, they provide a solid foundation to further sustain global shipping network resilience. Full article
(This article belongs to the Special Issue Sustainable Operations Management, Shared Manufacturing and Green Logistics)
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19 pages, 1298 KiB  
Article
Optimal Design of Resilient Carbon Capture, Utilization and Storage (CCUS) Supply Chain Networks under Facility Disruption
by Weidong Lei, Wenjing Zhang and Jiawei Zhu
Sustainability 2024, 16(7), 2621; https://doi.org/10.3390/su16072621 - 22 Mar 2024
Viewed by 639
Abstract
In recent years, various kinds of carbon dioxide capture, utilization and storage supply chain network design (CCUS SCND) problems have been extensively studied by scholars from the supply chain management community and other fields. The existing works mainly focus on the various deterministic [...] Read more.
In recent years, various kinds of carbon dioxide capture, utilization and storage supply chain network design (CCUS SCND) problems have been extensively studied by scholars from the supply chain management community and other fields. The existing works mainly focus on the various deterministic or uncertainty problems; few works consider the CCUS SCND resilience problem in the context of utilization/storage facility disruptions due to unexpected natural disasters or other geological anomaly events. This paper aims to study the CCUS SCND resilience problem under utilization/storage facility capacity disruption risk. We propose a stochastic mixed-integer linear programming model for the considered problem. In the considered problem, the main decisions related to the following areas are taken into account: supply chain design and planning; facility disruption risk handling, including the optimal determination of facility locations and the matching of carbon dioxide emission sources and utilization/storage facilities; carbon dioxide normal transportation planning; and transshipment planning for various disruption scenarios. Finally, an experimental study comprising a case study from China is conducted to validate the effectiveness and performance of our proposed model. The obtained results show that the supply chain networks for the case study obtained by our proposed model are efficient, cost-effective and resilient in mitigating various kinds of utilization/storage facility disruption scenarios, showing the model can be applied to large-scale CCUS projects to help managers effectively deal with disruption risks. Future research should consider multiple disruption events and propose multiple effective resilience strategies. Full article
(This article belongs to the Special Issue Sustainable Operations Management, Shared Manufacturing and Green Logistics)
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30 pages, 1606 KiB  
Article
Application and Performance Evaluation of Industrial Internet Platform in Power Generation Equipment Industry
by Yan Jia, Junfeng Wang, Xin Han, Haiqi Tang and Xiaoling Xiao
Sustainability 2023, 15(20), 15116; https://doi.org/10.3390/su152015116 - 20 Oct 2023
Viewed by 1074
Abstract
The development and application of the industrial Internet platform (IIP) has brought enterprises huge benefits, such as improving the efficiency of resource management and equipment maintenance, achieving the precipitation and reuse of industrial knowledge, and enhancing the development ability of industrial APPs, etc. [...] Read more.
The development and application of the industrial Internet platform (IIP) has brought enterprises huge benefits, such as improving the efficiency of resource management and equipment maintenance, achieving the precipitation and reuse of industrial knowledge, and enhancing the development ability of industrial APPs, etc. Therefore, in order to accelerate the application of the IIP, promote the digital transformation of enterprises, and enhance the application effect of the IIP, it is necessary to evaluate the application level and performance of the enterprise IIP. In this paper, taking the IIP in the power generation equipment industry as the research object, the background, architecture, and implementation process of the platform is described, and an evaluation method is proposed. First, a third-level evaluation index system is proposed via reference analysis and the Delphi method from four dimensions—platform basic condition, platform technology capability, platform application service capability, and platform input–output capability—and a total of sixty-five bottom indexes are designed in particular. Then, the fuzzy analytic hierarchy process (FAHP) and particle swarm optimization (PSO) algorithm are used to determine the weights of indexes, where FAHP is used to construct a fuzzy judgment matrix and PSO is adopted to adjust the consistency of the fuzzy judgment matrix in the FAHP. Finally, through the weights of indexes and questionnaire scores, the evaluation results are obtained, and the application level and performance of the IIP in the power generation equipment industry is analyzed. Through analysis, the important indexes that have a significant influence on the evaluation are determined, and the weaknesses that need to be enhanced are also pointed out, which can guide enterprises to make targeted improvements on the IIP in the power generation equipment industry so as to ensure the sustainable development of the power generation equipment industry. Full article
(This article belongs to the Special Issue Sustainable Operations Management, Shared Manufacturing and Green Logistics)
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17 pages, 3936 KiB  
Article
Production Strategy and Technology Innovation under Different Carbon Emission Polices
by Yinping Mu and Juan Zhao
Sustainability 2023, 15(12), 9820; https://doi.org/10.3390/su15129820 - 20 Jun 2023
Cited by 3 | Viewed by 1098
Abstract
Given that the production process in the manufacturing industry is a significant contributor to carbon emissions, many governments have implemented carbon emission-related policies to incentivize manufacturers to optimize their production process or invest in green production technology, with the aim of reducing their [...] Read more.
Given that the production process in the manufacturing industry is a significant contributor to carbon emissions, many governments have implemented carbon emission-related policies to incentivize manufacturers to optimize their production process or invest in green production technology, with the aim of reducing their carbon footprint. Therefore, it is necessary to determine the effectiveness of carbon policies considering manufacturers always tend to prioritize economic profits in their actual operations. We compare the effects of three different carbon emission policies—carbon tax, cap-and-trade, and intensity target—on manufacturers’ production strategies and technology innovation investments, which include production and carbon emission quantities, price of goods and emission permit, and technological innovation of the production improvement and the emission abatement. The study results show that the intensity target policy increases the carbon market price and decreases the carbon emission rate. For the manufacturers with higher (lower) initial emission intensity, intensity target policy induces them to decrease (increase) production quantities and carbon emission quantities. For the technology innovation choice, cap-and-trade induces more incentive on production improvement technology innovation for manufacturers with lower initial emission intensity and carbon emission abatement technology innovation for manufacturers with higher level initial emission intensity. Full article
(This article belongs to the Special Issue Sustainable Operations Management, Shared Manufacturing and Green Logistics)
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