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System Dynamics Modeling for Green Supply Chain Management
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System Dynamics Modeling for Green Supply Chain Management

A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Supply Chain Management".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 17072

Special Issue Editor

Dr. Susana Garrido Azevedo

E-Mail Website
Guest Editor
CeBER, Faculty of Economics, Universidade de Coimbra, Av Dias da Silva 165, 3004-512 Coimbra, Portugal
Interests: environment; logistics; supply chain management; sustainability

Special Issue Information

Dear Colleagues,

It is important to address environmental issues, together with SCM, in green supply chain management (GSCM). There is also a growing need for the integration of green practices into SCM research, not only to decrease the negative environmental impact of industrial development, but also to establish a competitive advantage through value creation.

There is a growing interest in supply chain modeling using System Dynamics. Forrester conceptualized System Dynamics to help improve managers’ understanding of industrial processes wherein variables are associated with a system that is considered dynamic. In this context, System Dynamics Modeling could contribute to better understanding the influence of a set of factors on GSCM while combining theories, techniques, and philosophies, to facilitate the effective framing, understanding, and discussion of their behavior.

This Special Issue explores research perspectives and scientific approaches to identifying a set of System Dynamics Modeling practices and processes to achieve more competitive or efficient GSCM. The main research topics include:

  • Closed-loop supply chains;
  • SCM with reverse logistics flows;
  • SCM with recycling processes;
  • Green supply chain modeling;
  • Inventory management and green supply chains;
  • Information visibility and green supply chains;
  • Product diversity and the environment;
  • The use of parts recovery and material recycling for SC value creation;
  • Purchasing, manufacturing, distribution, and green supply chains;
  • Product–service systems and environment.

Dr. Susana Garrido Azevedo
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. Systems 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 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

  • green
  • supply chain management
  • system dynamics modeling
  • environment
  • value creation
  • manufacturing processes
  • inventory
  • information
  • product–service systems

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Published Papers (6 papers)

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Research

26 pages, 3069 KiB  
Article
The Impact of Platform Information Sharing on Manufacturer’s Choice of Online Distribution Mode and Green Investment
by Leilei Jiao and Fumin Deng
Systems 2024, 12(4), 127; https://doi.org/10.3390/systems12040127 - 7 Apr 2024
Cited by 1 | Viewed by 1204
Abstract
In this study, we consider a dual-channel supply chain structure where a manufacturer invests in green products and distributes them to green-conscious consumers through an offline retailer and an online platform. The manufacturer has the flexibility to choose sales via either a wholesale [...] Read more.
In this study, we consider a dual-channel supply chain structure where a manufacturer invests in green products and distributes them to green-conscious consumers through an offline retailer and an online platform. The manufacturer has the flexibility to choose sales via either a wholesale mode or an agency selling mode on the online platform channel. The platform can obtain private information and decide whether to share it with the manufacturer. This study investigates the strategic interaction between the green manufacturer’s decision to use an online sales mode and the online platform’s strategy for information sharing. Our analysis reveals that under the wholesale price mode, the platform is willing to share demand information only when the manufacturer exhibits high investment efficiency. In contrast, under the agency selling mode, the platform always shares demand information regardless of the level of investment efficiency. Nevertheless, the manufacturer is discouraged from opting for the agency selling mode due to the higher commission rate. Interestingly, we observe that when the value of information is sufficiently high, the manufacturer still tends to prefer the agency selling mode, despite the added cost of the higher commission fee. Additionally, the offline retailer always benefits from the information sharing conducted by the online platform. Finally, our extended model indicates that the timing of information-sharing decisions has a significant impact on the manufacturer’s choice of mode. Full article
(This article belongs to the Special Issue System Dynamics Modeling for Green Supply Chain Management)
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16 pages, 630 KiB  
Article
Mathematical Modeling Approach to the Optimization of Biomass Storage Park Management
by Leonel J. R. Nunes
Systems 2024, 12(1), 17; https://doi.org/10.3390/systems12010017 - 8 Jan 2024
Viewed by 1891
Abstract
This paper addresses the critical issue of managing biomass parks, a key component in the shift towards sustainable energy sources. The research problem centers on optimizing the management of these parks to enhance production and economic viability. Our aim was to bridge the [...] Read more.
This paper addresses the critical issue of managing biomass parks, a key component in the shift towards sustainable energy sources. The research problem centers on optimizing the management of these parks to enhance production and economic viability. Our aim was to bridge the gap in current research by developing and applying mathematical models tailored for biomass park management. The study commenced by constructing a basic model based on assumptions such as uniform biomass and steady input rates. Progressing from this initial model, we explored sophisticated control strategies, including Pontryagin’s maximum principle and dynamic programming, and employed numerical methods to tackle the nonlinearities and complexities inherent in biomass management. Our approach’s scope extended to predicting and managing biomass flow, highlighting each method’s distinct advantages. The simple model laid the groundwork for understanding, while optimal control techniques revealed the system’s intricate dynamics. The numerical methods provided practical solutions to complex equations. We found that while each method is beneficial on its own, their combined use can significantly improve decision-making in biomass park management. This research emphasizes the importance of aligning the chosen method with specific operational challenges and desired outcomes for optimal efficacy, offering both theoretical insights and practical applications in the field of renewable energy management. Full article
(This article belongs to the Special Issue System Dynamics Modeling for Green Supply Chain Management)
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19 pages, 3282 KiB  
Article
Policy Analysis of Biomass Recycling Supply Chain Considering Carbon and Pollution Emission Reduction—Taking China’s Straw Subsidy Policy for Example
by Long Yu, Jingwen Sun, Weina Liu, Wengang Zhang, Liao Sun and Jun Wu
Systems 2023, 11(7), 343; https://doi.org/10.3390/systems11070343 - 4 Jul 2023
Cited by 6 | Viewed by 1825
Abstract
In recent years, global environmental problems such as air pollution and the greenhouse effect have become more and more serious. The utilization of biomass energy not only can promote low-carbon transformation to establish a competitive advantage through value creation under the goals of [...] Read more.
In recent years, global environmental problems such as air pollution and the greenhouse effect have become more and more serious. The utilization of biomass energy not only can promote low-carbon transformation to establish a competitive advantage through value creation under the goals of carbon peaking and carbon neutrality but is also an important force in solving environmental problems. Government subsidy policies play an important role in promoting the development of biomass energy utilization. Taking straw as an example, this paper constructs a straw recycling supply chain system dynamics model consisting of farmers, acquisition stations, power plants, and pyrolysis plants based on a real-world case. Two types of straw processing, namely power generation and pyrolysis, are considered in the model. This paper analyzes the economic and environmental impacts of three subsidy policies, namely the unified rate policy, the linear growth policy, and a two-step policy, by comparing the profit, carbon, and pollution emission reduction benefits of the supply chain under different subsidy scenarios. The result shows that, among the three subsidy policies, the unified rate policy shows the best-promoting effect. The research results and policy implications in this paper could be a reference for governments trying to formulate subsidy policies for developing biomass energy utilization. Full article
(This article belongs to the Special Issue System Dynamics Modeling for Green Supply Chain Management)
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25 pages, 4130 KiB  
Article
Decision-Making Models and Coordination in a Closed-Loop Supply Chain Considering Patent Protection for DfR
by Jie Jian, Gan Wang, Hongyuan Hu and Jiafu Su
Systems 2023, 11(3), 127; https://doi.org/10.3390/systems11030127 - 27 Feb 2023
Cited by 3 | Viewed by 1579
Abstract
With improvement in consumers’ environmental awareness and the level of design for remanufacturing (DfR), the traditional supply chain is gradually changing into a closed-loop supply chain (CLSC). However, a high level of remanufacturing design will increase design costs for manufacturers, while also reducing [...] Read more.
With improvement in consumers’ environmental awareness and the level of design for remanufacturing (DfR), the traditional supply chain is gradually changing into a closed-loop supply chain (CLSC). However, a high level of remanufacturing design will increase design costs for manufacturers, while also reducing the cost for remanufacturers. Moreover, manufacturers usually use patent barriers to restrict the development of remanufacturers. The main aims of this study were to explore how manufacturers and remanufacturers can benefit each other, taking into account patent protection and carbon emissions. Firstly, we adopted game theory to establish four decision-making models of the manufacturer and remanufacturer regarding DfR. Secondly, we designed a cost-sharing contract for DfR based on the decentralized decision-making model to coordinate a CLSC. The results of this study showed that under the patent-protected market environment, DfR increased the manufacturer’s profit but did not necessarily promote the remanufacturer’s profit growth. A cost-sharing contract can effectively achieve improvements in the presence of DfR, increase profits for both parties, and improve the economic and environmental benefits of the CLSC. Full article
(This article belongs to the Special Issue System Dynamics Modeling for Green Supply Chain Management)
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25 pages, 2375 KiB  
Article
The Interaction Mechanism and Dynamic Evolution of Digital Green Innovation in the Integrated Green Building Supply Chain
by Tong Dong, Shi Yin and Nan Zhang
Systems 2023, 11(3), 122; https://doi.org/10.3390/systems11030122 - 24 Feb 2023
Cited by 90 | Viewed by 4459
Abstract
Although building enterprises are actively developing towards the direction of an integrated building supply chain (IBSC), they still face many difficulties in digital green innovation (DGI) activities. The purpose of this study is to reveal the interaction mechanism between the digital integration degree, [...] Read more.
Although building enterprises are actively developing towards the direction of an integrated building supply chain (IBSC), they still face many difficulties in digital green innovation (DGI) activities. The purpose of this study is to reveal the interaction mechanism between the digital integration degree, green knowledge collaboration ability, and the DGI performance of IBSC enterprises in DGI activities under the influence of environmental characteristics of the integrated supply chain. In this study, firstly, a hierarchical regression method and a structural equation model are used to empirically study the static mechanism of DGI among enterprises in the IBSC. Secondly, this study adopts a complex system theory to construct a logistic dynamic analysis model to explore a dynamic evolution mechanism. The results of the study are as follows. (i) The digital integration degree and green knowledge synergy ability of the IBSC are conducive to improvements in digital green innovation performance among the enterprises involved in this chain. The digital integration degree of this chain is the dominant factor affecting the performance of digital green innovation among these enterprises. (ii) The digital network capability of this chain has a significant impact on its digital integration degree but has no significant effect on green knowledge synergy ability. The quality of digital relationships in the IBSC affects both the digital integration degree and green knowledge synergy ability. It has a higher impact on the digital integration degree than on the synergy ability of green knowledge. The resilience of the IBSC can effectively promote the improvement of digital integration and green knowledge synergy ability, but has no significant effect on digital green innovation performance. (iii) In the early stage of an IBSC, the effect of the digital integration degree on DGI performance is more obvious. Over the long term, under the effect of different digital relationship qualities of the IBSC, green knowledge collaboration ability plays a pivotal role. Improving this ability is conducive to the continuous improvement of DGI performance. Full article
(This article belongs to the Special Issue System Dynamics Modeling for Green Supply Chain Management)
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26 pages, 1470 KiB  
Article
Supply Chain Sustainability: A Model to Assess the Maturity Level
by Elisabete Correia, Susana Garrido-Azevedo and Helena Carvalho
Systems 2023, 11(2), 98; https://doi.org/10.3390/systems11020098 - 11 Feb 2023
Cited by 8 | Viewed by 4489
Abstract
Today, frameworks and models are critical for enabling organizations to identify their current sustainability integration into business and to follow up on these initiatives over time. In this context, the maturity models offer a structured way of analyzing how a supply chain meets [...] Read more.
Today, frameworks and models are critical for enabling organizations to identify their current sustainability integration into business and to follow up on these initiatives over time. In this context, the maturity models offer a structured way of analyzing how a supply chain meets specific sustainability requirements and which areas demand attention to reach maturity levels. This study proposes a five-level maturity model to help supply chains managers identify their level of engagement with sustainability practices combining three perspectives: the intra- and inter-organizational sustainability practices, the triple-bottom-line approach and the critical areas for sustainability. All the steps followed in constructing the maturity model were based on a literature review, and case studies supported its improvement, application, and testing. The proposed model presents many advantages, such as being used as a self-assessment tool, a roadmap for sustainability behaviors improvement, and a benchmarking tool to evaluate and compare standards and best practices among organizations and supply chains. Full article
(This article belongs to the Special Issue System Dynamics Modeling for Green Supply Chain Management)
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