Pricing and recovery in a dual-channel closed-loop supply chain under uncertain environment

Yan, Guangzhou; Ni, Yaodong; Yang, Xiangfeng

doi:10.1007/s00500-021-06117-1

Cited by 10 publications

(2 citation statements)

References 44 publications

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“…Among the articles in this field selected for this study, Refs. [144][145][146][147][148][149][150][151] applied uncertainty method based on uncertainty theory. For example, Goltsos et al [144] and Peng et al [145] conducted review studies of the literature related to CLSC and uncertainty.…”

Section: Study Of Hazardous Materials Transportation To Minimize Risk...mentioning

confidence: 99%

Uncertainty Analysis and Optimization Modeling with Application to Supply Chain Management: A Systematic Review

et al. 2023

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In recent years, there have been frequent cases of impact on the stable development of supply chain economy caused by uncertain events such as COVID-19 and extreme weather events. The creation, management, and impact coping techniques of the supply chain economy now face wholly novel requirements as a result of the escalating level of global uncertainty. Although a significant literature applies uncertainty analysis and optimization modeling (UAO) to study supply chain management (SCM) under uncertainty, there is a lack of systematic literature review and research classification. Therefore, in this paper, 121 articles published in 44 international academic journals between 2015 and 2022 are extracted from the Web of Science database and reviewed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Bibliometric analysis and CiteSpace software are used to identify current developments in the field and to summarize research characteristics and hot topics. The selected published articles are classified and analyzed by author name, year of publication, application area, country, research purposes, modeling methods, research gaps and contributions, research results, and journals to comprehensively review and evaluate the SCM in the application of UAO. We find that UAO is widely used in SCM under uncertainty, especially in the field of decision-making, where it is common practice to abstractly model the decision problem to obtain scientific decision results. This study hopes to provide an important and valuable reference for future research on SCM under uncertainty. Future research could combine uncertainty theory with supply chain management segments (e.g., emergency management, resilience management, and security management), behavioral factors, big data technologies, artificial intelligence, etc.

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Section: Study Of Hazardous Materials Transportation To Minimize Risk...mentioning

confidence: 99%

Uncertainty Analysis and Optimization Modeling with Application to Supply Chain Management: A Systematic Review

et al. 2023

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“…Remanufacturers collect qualified used products from consumers [23], and the recycling channel of second-hand products is the key issue for remanufacturers to make decisions [24]. A multi-channel recycling strategy can significantly improve recycling efficiency [25], and remanufacturing through manufacturers' channels or third-party channels is a common recycling channel [26]. The influencing factors of recycling channel selection for remanufacturers include the recycling cost [27], consumer preferences for remanufactured goods [28], channel competition [29] and channel cooperation [30], environmental impact [31], recovery price [32], etc.…”

Section: Recycling Channels Of the Reverse Supply Chainmentioning

confidence: 99%

Recycling Pricing and Government Subsidy Strategy for End-of-Life Vehicles in a Reverse Supply Chain under Consumer Recycling Channel Preferences

Wang

2023

Mathematics

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In the existing recycling system for end-of-life vehicles (ELVs), online recycling based on the Internet platform is a useful supplement. In this paper, a Stackelberg game pricing model, which is dominated by ELV part remanufacturers and composed of remanufacturers, recyclers, and consumers, is constructed considering consumer preferences for recycling channels. The influence of different subsidy strategies on the optimal pricing, profit, and recycling volume of the reverse supply chain (RSC) of ELVs is discussed, and the effects of factors such as subsidy amount and consumer preferences on the RSC of ELVs are analyzed using numerical simulation. The results show that the increase in consumers’ online recycling preferences has a positive effect on the recycling volume and profit of the RSC of ELVs. Considering the recycling volume of the RSC, when fewer subsidies are given, more recycling volume can be generated by subsidizing remanufacturers, and, on the contrary, recycling volume will be generated by subsidizing consumers. Considering the profit of the RSC, when subsidies are given at the lower-middle level, higher profits can be earned by subsidizing remanufacturers, and, on the contrary, higher profits can be earned by subsidizing consumers.

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Sustainability assessment of supply chains by a novel robust two-stage network DEA model: a case study in the transport industry

2022

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Pricing and recovery in a dual-channel closed-loop supply chain under uncertain environment

Cited by 10 publications

References 44 publications

Uncertainty Analysis and Optimization Modeling with Application to Supply Chain Management: A Systematic Review

Uncertainty Analysis and Optimization Modeling with Application to Supply Chain Management: A Systematic Review

Recycling Pricing and Government Subsidy Strategy for End-of-Life Vehicles in a Reverse Supply Chain under Consumer Recycling Channel Preferences

Sustainability assessment of supply chains by a novel robust two-stage network DEA model: a case study in the transport industry

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