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Optimization in Green Transformation for Advanced Manufacturing and Modern Service Industry

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A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Anthropogenic Circularity".

Deadline for manuscript submissions: closed (13 April 2023) | Viewed by 8186

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Prof. Dr. Xin Feng

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Guest Editor

College of Economics and Management, Nanjing Forestry University, Nanjing 210037, China
Interests: scheduling; combinatorial optimization; supply chain management; online algorithm; ecosystem engineering

Special Issue Information

Dear Colleagues,

Environmental degradation and the excessive use of natural resources have become global concerns. Thus, stringent legislative measures, such as laws, regulations, public policies, and carbon taxes, have been proposed to promote green transformation. However, with the economy contracting due to COVID-19 and regional conflicts, there is a growing realization that we need to find the best trade-off between environmental protection and economic growth, especially in developing countries, to achieve a sustainable environmentally friendly economy. Therefore, adopting optimization methods to realize an optimal complete transmission belt from global policies to operational activities is absolutely necessary. As an important pillar of basic industry, the manufacturing and service industry has become the main object of attention with regard to achieving green transformation. Some advanced research methods, such as operation research, computer science, simulation technology, big data technology, etc., have a wide range of applications in these industries. Therefore, in this Special Issue, we invite cutting-edge researchers to submit original and review articles on the theme of optimization in green transformation for advanced manufacturing and the modern service industry, especially those combining a high academic standard coupled with a practical focus on providing optimal solutions for green transformation. Topics of interest include, but are not limited to:

Resource-oriented integrated supply chain management
Green scheduling model and algorithms;
Sharing economy in manufacturing and service industry;
Green finance and sustainable development;
Consumer’s preferences for low carbon products;
Corporate environmental performance optimization;
Technological approaches to enhance ecosystem carbon sinks;

We look forward to receiving your contributions.

Prof. Dr. Xin Feng
Guest Editor

Manuscript Submission Information

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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. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly 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 2500 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

green manufacturing
ecological services
low-carbon consumption
green supply chain management
carbon sink finance
sharing economy
optimal algorithm
robust optimization
online algorithm and competitive analysis
stochastic optimization.

Published Papers (5 papers)

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Research

20 pages, 2143 KiB

Open AccessArticle

Designing a Resilient–Sustainable Supply Chain Network of Age-Differentiated Blood Platelets Using Vertical–Horizontal Transshipment and Grey Wolf Optimizer

by Mohammad Shokouhifar and Alireza Goli

Int. J. Environ. Res. Public Health 2023, 20(5), 4078; https://doi.org/10.3390/ijerph20054078 - 24 Feb 2023

Cited by 9 | Viewed by 1545

Abstract

Blood platelets are a typical instance of perishable age-differentiated products with a shelf life of five days (on average), which may lead to significant wastage of some collected samples. At the same time, a shortage of platelets may also be observed because of emergency demands and the limited number of donors, especially during disasters such as wars and the COVID-19 pandemic. Therefore, developing an efficient blood platelet supply chain management model is highly necessary to reduce shortage and wastage. In this research, an integrated resilient–sustainable supply chain network of perishable age-differentiated platelets considering vertical and horizontal transshipment is designed. In order to achieve sustainability, economic cost, social cost (shortage), and environmental cost (wastage) are taken into account. A reactive resilient strategy utilizing lateral transshipment between hospitals is adopted to make the blood platelet supply chain powerful against shortage and disruption risks. The presented model is solved using a metaheuristic based on a local search-empowered grey wolf optimizer. The obtained results demonstrate the efficiency of the proposed vertical–horizontal transshipment model in reducing total economic cost, shortage, and wastage by 3.61%, 30.1%, and 18.8%, respectively. Full article

(This article belongs to the Special Issue Optimization in Green Transformation for Advanced Manufacturing and Modern Service Industry)

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11 pages, 1485 KiB

Open AccessArticle

Competitive Analysis of the Online Leasing Problem for Scarce Resources

by Jiamin Lu, Nishan Chen and Xin Feng

Int. J. Environ. Res. Public Health 2023, 20(1), 886; https://doi.org/10.3390/ijerph20010886 - 3 Jan 2023

Cited by 1 | Viewed by 1683

Abstract

The leasing activities of enterprises are of positive significance for promoting a green and low-carbon economy. For scarce resources that can easily go into tight supply states due to changes in the external market environment, the sudden change of their price is a common phenomenon in the leasing market. This paper provides an online leasing model based on the characteristics of scarce resources in which the resource might have a sudden price surge, and the length of its usage time cannot be known in advance. An online leasing strategy ON was then developed to achieve the minimum possible acquisition cost for the scarce resource. This strategy was proven to be the optimal online strategy through competitive analysis. Computational experiments were conducted to evaluate the performance of the proposed online strategy. Furthermore, sensitivity analysis of the problem parameters shows that increasing resource reserves and reducing the price-to-rent ratio are effective ways to improve the performance of enterprise leasing operation management for scarce resources. Full article

(This article belongs to the Special Issue Optimization in Green Transformation for Advanced Manufacturing and Modern Service Industry)

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22 pages, 671 KiB

Open AccessArticle

A Blockchain Technology Introduction Strategy for Asymmetric Sharing Platforms under Different Homing Behaviors of Both Sides

by Libin Guo and Xiangtian Guo

Int. J. Environ. Res. Public Health 2022, 19(23), 16060; https://doi.org/10.3390/ijerph192316060 - 30 Nov 2022

Cited by 1 | Viewed by 1433

Abstract

To address user privacy concerns and improve user trust levels, sharing platforms are commencing to focus on investing in blockchain technology. This study focuses on blockchain technology investment and pricing strategies for two asymmetric sharing platforms. By constructing a Hotelling model, we investigate the investment strategies of the two asymmetric platforms regarding blockchain technology under different user attribution behaviours, i.e., single-homing or multi-homing, and the optimal pricing under different investment decisions. Afterwards, we compare and analyse the investment strategies under different conditions, obtain the influence of relevant market factors on the pricing strategies of the platforms, and finally determine the optimal timing of blockchain technology investment for asymmetric sharing platforms. The results indicate that when users’ perception of blockchain value is high, both platforms are motivated to introduce blockchain technology, and, conversely, a stronger platform exits the blockchain market. In multi-homing markets, platforms are more likely to implement blockchain strategies and the cost of technology investment is significantly higher than in a single-homing market. In addition, we also find that the degree of differentiation has a significant impact on the blockchain strategies of weaker platform under multi-homing market. Full article

(This article belongs to the Special Issue Optimization in Green Transformation for Advanced Manufacturing and Modern Service Industry)

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16 pages, 1636 KiB

Open AccessArticle

Assessing and Predicting Green Credit Risk in the Paper Industry

by Yue Zhao and Yan Chen

Int. J. Environ. Res. Public Health 2022, 19(22), 15373; https://doi.org/10.3390/ijerph192215373 - 21 Nov 2022

Cited by 2 | Viewed by 1544

Abstract

The paper industry is closely related to forestry resources, which constitute an essential part of achieving sustainable development. Green credit can provide financial support to assist the paper industry in achieving carbon neutrality. To develop a method for performing green credit risk assessments in the paper industry, first, an initial index system was established on the basis of two dimensions: financial risk and socio-environmental risk. Then, the KMV model was applied to measure credit risk. The combined results of this model, along with the environmental penalties of an enterprise, formed the basis for the classification of green credit risk. Third, the Gini index was used to filter out, one by one, the indexes with the least influence among the factors, and then random forest iterations were performed until the prediction accuracy reached the optimum, thus establishing a green credit risk prediction model for the paper industry. The results show that the accuracy of the sample classification reached 93.75%, and the accuracy of the sample classification for high-risk enterprises reached 100%. The established index system offers good guidance for the assessment of green credit risk in the paper industry, in which the interest coverage ratio, current ratio, asset-liability ratio, and green emissions are the main factors affecting green credit risk. Full article

(This article belongs to the Special Issue Optimization in Green Transformation for Advanced Manufacturing and Modern Service Industry)

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17 pages, 3194 KiB

Open AccessArticle

Vehicle Company’s Decision-Making to Process Waste Batteries: A Game Research under the Influence of Different Government Subsidy Strategies

by Menglin Zhan and Yan Chen

Int. J. Environ. Res. Public Health 2022, 19(21), 13771; https://doi.org/10.3390/ijerph192113771 - 23 Oct 2022

Cited by 2 | Viewed by 1278

Abstract

With the increase in the number of waste power batteries and the occurrence of related environmental problems, battery recycling is receiving extensive attention. Driven by economic benefits, many companies have begun to deploy the waste battery processing market and government subsidies also play an essential role in battery recycling. Considering the vehicle company outsources processing tasks or invests in research and development (R&D), this paper studies the optimal decision-making problem of the supply chain under government subsidy to the battery manufacturer or the battery manufacturer. The research finds that: (1) For the government, when the vehicle company outsources processing tasks, compared with subsidizing the vehicle company, the total recycling volume when subsidizing the battery manufacturer is higher. When the vehicle company invests in R&D, the total recycling volume under different government subsidy strategies is equal. (2) The vehicle company’s decision is only related to its processing costs; when the unit processing cost is low, the vehicle company’s profit under the strategy of investing in R&D is higher. However, when the unit processing cost is high, the profit of outsourcing processing tasks is higher. (3) With increase in unit subsidy and decrease in unit processing cost, the total recycling volume will increase. These findings can provide decision-making help for the government in formulating subsidy policies and the vehicle company in determining processing strategies in the future. Full article

(This article belongs to the Special Issue Optimization in Green Transformation for Advanced Manufacturing and Modern Service Industry)

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