Sustainable Closed-Loop Mask Supply Chain Network Design Using Mathematical Modeling and a Fuzzy Multi-Objective Approach

Setiawan, Roy; Salman, Rabia; Khairov, B. G.; Karpov, V. V.; Danshina, Svetlana; Vasyutkina, Lidia; Prodanova, Natalia Aлексеевна; Zhenzhebir, Viacheslav; Nuyanzin, E.A.; Kapustina, Nadezhda; Kalajahi, Ali Hasanzadeh

doi:10.3390/su13105353

Cited by 9 publications

(2 citation statements)

References 20 publications

(36 reference statements)

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“…Safaei et al adopted robust optimization for coping with uncertain scenarios in the cardboard closed-loop supply chain [40]. Setiawan et al optimized a multi-objective mask closed-loop supply chain considering environmental impact [41]. The objective functions were defined by the fuzzy membership degree function and converted into a single-objective model by ε-constraint.…”

Section: Literature Reviewmentioning

confidence: 99%

A Fuzzy Robust Programming Model for Sustainable Closed-Loop Supply Chain Network Design with Efficiency-Oriented Multi-Objective Optimization

2022

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Sustainable closed-loop supply chain (SCLSC) network design and decision-making is a critical problem for enterprises and organizations’ operations because of its excellent economic, environmental, and social performance. This article proposes a multi-objective mixed-integer programming model with targets for minimum total cost, reduction in environmental damage, and maximum social responsibility. In order to deal with the uncertainty caused by the dynamic business environment, a fuzzy robust programming (FRP) approach is applied. Furthermore, an efficiency-oriented optimization methodology, hybridizing meta-heuristics and efficiency evaluation, is proposed to solve the developed multi-objective model and functions as auxiliary decision-making. Data envelopment analysis is applied to evaluate the sustainability performance of feasible solutions and calculate their efficiency. The efficiency can comprehensively reflect the sustainability performance and guide the evolution process of meta-heuristic algorithms. A numerical case validates the proposed FRP model and efficiency-oriented optimization methodology. The results demonstrate that with the proposed methodology, decision-makers not only can obtain a set of efficient schemes but also can determine the optimal scheme with the best sustainability performance.

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Section: Literature Reviewmentioning

confidence: 99%

A Fuzzy Robust Programming Model for Sustainable Closed-Loop Supply Chain Network Design with Efficiency-Oriented Multi-Objective Optimization

2022

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“…Another major issue was the masks during the pandemic in terms of both demand and quality. Setiawan, et al [83] proposed a closed-loop SC to ensure proper planning is done in terms of production and recycling. They aimed to maximize profit and minimize the environmental impacts.…”

Section: Keyword Co-occurrence Analysis For Sustainabilitymentioning

confidence: 99%

Bibliometric and Text Analytics Approaches to Review COVID-19 Impacts on Supply Chains

2022

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The current COVID-19 pandemic has virtually disrupted supply chains worldwide. Thus, supply chain research has received significant attention. While the impacts have been immeasurable, organizations have realized the need to design strategies to overcome such unexpected events. Therefore, the supply chain research landscape has evolved to address the challenges during the pandemic. However, available literature surveys have not explored the power of text analytics. Hence, in this review, an analysis of the supply chain literature related to the impacts of COVID-19 is performed to identify the current research trends and future research avenues. To discover the frequent topics discussed in the literature, bibliometric analysis (i.e., keyword co-occurrence network) and text mining tools (i.e., N-gram analysis and topic modeling) are employed for the whole corpus and the top-three contributing journals (i.e., Sustainability, International Journal of Logistics Management, Operations Management Research). Moreover, text analytics (i.e., Term Frequency-Inverse Document Frequency: TF-IDF) is utilized to discover the distinctive topics in the corpus and per journals. A total of 574 papers published up to the first semester of 2022 were collected from the Scopus database to determine the research trends and opportunities. The keyword network identified four clusters considering the implementation of digitalization to achieve resilience and sustainability, the usage of additive manufacturing during the pandemic, the study of food supply chains, and the development of supply chain decision models to tackle the pandemic. Moreover, the segmented keyword network analysis and topic modeling were performed for the top three contributors. Although both analyses draw the research concentrations per journal, the keyword network tends to provide a more general scope, while the topic modeling gives more specific topics. Furthermore, TF-IDF scores unveiled topics rarely studied, such as the implications of the pandemic on plasma supply chains, cattle supply chains, and reshoring decisions, to mention a few. Additionally, it was observed how the different methodologies implemented allowed to complement the information provided by each method. Based on the findings, future research avenues are discussed. Therefore, this research will help supply chain practitioners and researchers to identify supply chain advancements, gaps in the literature and future research streams.

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Sustainable closed-loop supply chains and their optimization models: a review of the literature

Lozano-Oviedo,

Cortés,

Rey

2024

Clean Techn Environ Policy

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Sustainable Closed-Loop Mask Supply Chain Network Design Using Mathematical Modeling and a Fuzzy Multi-Objective Approach

Cited by 9 publications

References 20 publications

A Fuzzy Robust Programming Model for Sustainable Closed-Loop Supply Chain Network Design with Efficiency-Oriented Multi-Objective Optimization

A Fuzzy Robust Programming Model for Sustainable Closed-Loop Supply Chain Network Design with Efficiency-Oriented Multi-Objective Optimization

Bibliometric and Text Analytics Approaches to Review COVID-19 Impacts on Supply Chains

Sustainable closed-loop supply chains and their optimization models: a review of the literature

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