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Sustainability
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Supply Chain Innovation and Logistics Collaboration under Shared Economy
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Supply Chain Innovation and Logistics Collaboration under Shared Economy

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

Deadline for manuscript submissions: closed (1 June 2021) | Viewed by 14151

Special Issue Editors

Prof. Dr. Xiaofeng Xu

E-Mail Website
Guest Editor
College of Economics and Management, China University of Petroleum, Qingdao 266580, China
Interests: Industry 4.0; intelligent transportation systems and logistics; big data analytics
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Xiang Li

E-Mail Website
Guest Editor
School of Economics and Management, Beijing University of Chemical Technology, Beijing 100029, China
Interests: traffic transportation management; data driven optimization; transportation management of hazardous material
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue aims to push supply chain innovation and logistics collaboration in the era of shared economy and discuss the smart supply chain system and collaborative logistics network from theoretical and practical perspectives, including issues of cost reduction, supply and demand matching, model innovation, industrial upgrading, and many more. The aims are as follows:

  1. Discuss the development of supply chain innovation from the perspective of resource sharing and collaboration, elaborate on the cooperative organization and interaction mode among multi-type and multi-level enterprises, analyze the connotation characteristics and mechanisms, decompose the optimization system and support technology, improve the efficiency of the supply chain at the global level, and create new value for enterprises.
  2. Explore how “shared economy” affects innovation in business mode and the coordination of resource operation for supply chain enterprises.
  3. Analyze how to carry out transformation and upgrading for traditional manufacturing, logistics, retail, and other enterprises.

For achieving these purposes, we will invite submissions that either have essential theoretical contributions or great practical value regarding supply chain innovation and collaborative logistics.

The topics of this Special Issue will include (but are not limited to):

  1. Agile supply chain management
  2. Smart supply chain management
  3. Supply chain transformation and upgrading
  4. Green logistics
  5. Reverse logistics
  6. Crowdsourcing logistics
  7. Collaborative logistics
  8. Resources optimal allocation
  9. Demand agile response

Prof. Dr. Xiaofeng Xu
Prof. Dr. Xiang Li
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

  • supply chain management
  • green transportation management
  • reverse logistics

Published Papers (7 papers)

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Research

18 pages, 465 KiB  
Article
Location-Routing Optimization with Renting Social Vehicles in a Two-Stage E-Waste Recycling Network
by Feifeng Zheng, Zhiyu Sun and Ming Liu
Sustainability 2021, 13(21), 11879; https://0-doi-org.brum.beds.ac.uk/10.3390/su132111879 - 27 Oct 2021
Cited by 2 | Viewed by 1293
Abstract
E-waste recycling has been a hot topic in recent years. The low efficiency and high-operation cost of recycling make it more important to build perfect e-waste recycling networks. To hedge against the limitation of vehicle resources being often neglected in existing research, we [...] Read more.
E-waste recycling has been a hot topic in recent years. The low efficiency and high-operation cost of recycling make it more important to build perfect e-waste recycling networks. To hedge against the limitation of vehicle resources being often neglected in existing research, we propose a mixed integer linear programming model of e-waste recycling by renting idle social vehicles. In the model, both decisions made on the location selection of recycling sites and vehicle routings satisfying all of the demand nodes over the network within time windows are required to minimize the total operating cost. An improved genetic algorithm and heuristic algorithm are designed to solve the model, and numerical experiments are produced to demonstrate the effectiveness of the proposed model and algorithms. Full article
(This article belongs to the Special Issue Supply Chain Innovation and Logistics Collaboration under Shared Economy)
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15 pages, 3787 KiB  
Article
Analysis of Bus Line Operation Reliability Based on Copula Function
by Zhang Xiaoliang and Jia Limin
Sustainability 2021, 13(15), 8419; https://0-doi-org.brum.beds.ac.uk/10.3390/su13158419 - 28 Jul 2021
Cited by 4 | Viewed by 1496
Abstract
To promote the development level of urban sustainability, more and more cities have been paying attention to the improvement of public transportation. City managers intend to attract people from private cars to public transport by improving the service level of urban public transport. [...] Read more.
To promote the development level of urban sustainability, more and more cities have been paying attention to the improvement of public transportation. City managers intend to attract people from private cars to public transport by improving the service level of urban public transport. The operational reliability of bus lines plays a crucial role in maintaining high-level service of public transportation. Previous studies have focused on the service level of the whole line by investigating the overall stability of departure punctuality, line running time, and punctuality. This study aims to clarify the relationship between the whole line and sites in terms of the influence on the operational reliability of bus lines. This study proposes a bus route reliability evaluation method, based on copulas connect function, and the actual line data are taken as a case study. The results show that the method reveals the relationship between the overall line and the interstation paths in the context of operational reliability. This study finds the interstation path, which is more critical to the whole line. This method can provide a good reference for the diagnosis and evaluation of line operation and the optimization of bus routes. The results can support the sustainable development of public transportation. Full article
(This article belongs to the Special Issue Supply Chain Innovation and Logistics Collaboration under Shared Economy)
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12 pages, 870 KiB  
Article
The Effect of Government Subsidy Policy for Foreign Capital R&D from the Perspective of Global Supply Chains: An Empirical Analysis with Time Lag and Propensity Score Matching
by Haigang Li, Shaofeng Ru, Victor Shi, Peng Zhang and Ganlin Pu
Sustainability 2021, 13(15), 8188; https://0-doi-org.brum.beds.ac.uk/10.3390/su13158188 - 22 Jul 2021
Cited by 1 | Viewed by 1594
Abstract
(1) Background: with the emergence and continuous development of more multinational corporations, capital and resources flow rapidly in the form of global supply chains around the world. Furthermore, government subsidies for R&D are one of the key factors that affect foreign-funded R&D activities [...] Read more.
(1) Background: with the emergence and continuous development of more multinational corporations, capital and resources flow rapidly in the form of global supply chains around the world. Furthermore, government subsidies for R&D are one of the key factors that affect foreign-funded R&D activities and their innovation output and performance in global supply chains. (2) Methods: in this paper, firstly, based on two sets of time series and dynamic panel data, we propose a distribution time lag model to test the effect of R&D subsidy policies from the macro perspective. Secondly, we employ the propensity score matching method to test the micro effect of R&D subsidy policies. (3) Results: our empirical results show that there are significant differences in the impacts of R&D subsidy policies on foreign capital funded innovation and domestic innovation. The main effect of government subsidy on foreign capital R&D is to improve the innovation output. However, regarding domestic R&D, it is to promote innovation performance. (4) Conclusions: Government subsidy is the main cause of the individual differences among the foreign funded R&D institutions in terms of innovation output and innovation performance. From the perspective of global supply chains, our analysis and results provide managerial and policy insights on subsidizing foreign investment in R&D in China. Full article
(This article belongs to the Special Issue Supply Chain Innovation and Logistics Collaboration under Shared Economy)
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20 pages, 479 KiB  
Article
A Profit Distribution Model of Reverse Logistics Based on Fuzzy DEA Efficiency—Modified Shapley Value
by Jiekun Song, Xiaoping Ma and Rui Chen
Sustainability 2021, 13(13), 7354; https://0-doi-org.brum.beds.ac.uk/10.3390/su13137354 - 30 Jun 2021
Cited by 14 | Viewed by 2192
Abstract
Reverse logistics is an important way to realize sustainable production and consumption. With the emergence of professional third-party reverse logistics service providers, the outsourcing model has become the main mode of reverse logistics. Whether the distribution of cooperative profit among multiple participants is [...] Read more.
Reverse logistics is an important way to realize sustainable production and consumption. With the emergence of professional third-party reverse logistics service providers, the outsourcing model has become the main mode of reverse logistics. Whether the distribution of cooperative profit among multiple participants is fair or not determines the quality of the implementation of the outsourcing mode. The traditional Shapley value model is often used to distribute cooperative profit. Since its distribution basis is the marginal profit contribution of each member enterprise to different alliances, it is necessary to estimate the profit of each alliance. However, it is difficult to ensure the accuracy of this estimation, which makes the distribution lack of objectivity. Once the actual profit share deviates from the expectation of member enterprise, the sustainability of the reverse logistics alliance will be affected. This study considers the marginal efficiency contribution of each member enterprise to the alliance and applies it to replace the marginal profit contribution. As the input and output data of reverse logistics cannot be accurately separated from those of the whole enterprise, they are often uncertain. In this paper, we assume that each member enterprise’s input and output data are fuzzy numbers and construct an efficiency measurement model based on fuzzy DEA. Then, we define the characteristic function of alliance and propose a modified Shapley value model to fairly distribute cooperative profit. Finally, an example comprising of two manufacturing enterprises, one sales enterprise, and one third-party reverse logistics service provider is put forward to verify the model’s feasibility and effectiveness. This paper provides a reference for the profit distribution of the reverse logistics. Full article
(This article belongs to the Special Issue Supply Chain Innovation and Logistics Collaboration under Shared Economy)
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20 pages, 762 KiB  
Article
Green Supply Chain Management with Cooperative Promotion
by Ke Yan, Guowei Hua and T.C.E. Cheng
Sustainability 2021, 13(6), 3204; https://0-doi-org.brum.beds.ac.uk/10.3390/su13063204 - 15 Mar 2021
Cited by 7 | Viewed by 2499
Abstract
Green supply chain management has received increasing attention as consumers have become more environmentally conscious. Manufacturers are making green investments to meet consumers’ demands, while retailers in different markets often engage in cooperative promotion to attract more consumers. This study develops game theoretic [...] Read more.
Green supply chain management has received increasing attention as consumers have become more environmentally conscious. Manufacturers are making green investments to meet consumers’ demands, while retailers in different markets often engage in cooperative promotion to attract more consumers. This study develops game theoretic models for investigating cooperative promotion for two cross-market firms with different channel structures, i.e., decentralized and centralized. The manufacturer determines the wholesale price for the retailers and the green investment of a product, and the retailers determine the promotional effort and retail price. This study finds that whether the firms join in cooperative promotion mainly depends on the wholesale price, as well as the impacts of the price, green investment, and cooperative promotional activities on the demand. When the wholesale price is relatively low, the retail price of the decentralized green supply chain must be lower than that of the centralized green supply chain. On the contrary, the difference in the retail price between the two green supply chains varies with the impacts of green investment and cooperative promotional activities on demand. In addition, due to the influence of channel structure, the contribution to cooperative promotion of the centralized supply chain is more than that of the decentralized supply chain with the most given conditions. Moreover, as the impact of cooperative promotional activities on demand increases, the centralized green supply chain does not necessarily result in higher profits than the decentralized green supply chain. Full article
(This article belongs to the Special Issue Supply Chain Innovation and Logistics Collaboration under Shared Economy)
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25 pages, 10727 KiB  
Article
A Model of Waste Price in a Symbiotic Supply Chain Based on Stackelberg Algorithm
by Cheng Che, Xiaoguang Zhang, Yi Chen, Liangyan Zhao and Zhihong Zhang
Sustainability 2021, 13(4), 1740; https://0-doi-org.brum.beds.ac.uk/10.3390/su13041740 - 05 Feb 2021
Cited by 7 | Viewed by 1730
Abstract
By establishing a two-level symbiotic supply chain system consisting of one supplier and one manufacturer, we use Stackelberg method to analyze the optimal price and revenue model of supplier and manufacturer in the symbiotic supply chain under two power structures in which the [...] Read more.
By establishing a two-level symbiotic supply chain system consisting of one supplier and one manufacturer, we use Stackelberg method to analyze the optimal price and revenue model of supplier and manufacturer in the symbiotic supply chain under two power structures in which the supplier and manufacturer are dominant respectively, and analyze the influence of the degree of symbiosis and power structure on the model. Through comparative analysis, we find that: There is a relationship between the income level and the degree of symbiosis in the symbiotic supply chain. The change of power structure will affect the relative benefits of suppliers and manufacturers in the symbiotic supply chain. The manufacturer’s expected unit product revenue will affect the supply chain revenue when the manufacturer is dominant. Finally, the sensitivity analysis of relevant parameters is carried out through an example analysis, and the validity of the conclusion is verified. This paper has a guiding significance for the behavior of enterprises in the cogeneration supply chain. Full article
(This article belongs to the Special Issue Supply Chain Innovation and Logistics Collaboration under Shared Economy)
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17 pages, 2233 KiB  
Article
Half Open Multi-Depot Heterogeneous Vehicle Routing Problem for Hazardous Materials Transportation
by Zhongxin Zhou, Minghu Ha, Hao Hu and Hongguang Ma
Sustainability 2021, 13(3), 1262; https://0-doi-org.brum.beds.ac.uk/10.3390/su13031262 - 26 Jan 2021
Cited by 13 | Viewed by 2340
Abstract
How to reduce the accidents of hazardous materials has become an important and urgent research topic in the safety management of hazardous materials. In this study, we focus on the half open multi-depot heterogeneous vehicle routing problem for hazardous materials transportation. The goal [...] Read more.
How to reduce the accidents of hazardous materials has become an important and urgent research topic in the safety management of hazardous materials. In this study, we focus on the half open multi-depot heterogeneous vehicle routing problem for hazardous materials transportation. The goal is to determine the vehicle allocation and the optimal route with minimum risk and cost for hazardous materials transportation. A novel transportation risk model is presented considering the variation of vehicle loading, vehicle types, and hazardous materials category. In order to balance the transportation risk and the transportation cost, we propose a bi-objective mixed integer programming model. A hybrid intelligent algorithm is developed based on the ε-constraint method and genetic algorithm to obtain the Pareto optimal solutions. Numerical experiments are provided to demonstrate the effectiveness of the proposed model. Compared with the close multi-depot heterogeneous vehicle routing problem, the average risk and cost obtained by the proposed bi-objective mixed integer programming model can be reduced by 3.99% and 2.01%, respectively. In addition, compared with the half open multi-depot homogeneous vehicle routing problem, the cost is significantly reduced with the acceptable risk. Full article
(This article belongs to the Special Issue Supply Chain Innovation and Logistics Collaboration under Shared Economy)
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