Applied Mathematics in Supply Chain and Logistics

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Financial Mathematics".

Deadline for manuscript submissions: 30 April 2024 | Viewed by 3081

Special Issue Editor


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Guest Editor
School of Business, Central South University, Yuelu District, Changsha 410083, China
Interests: game theory and application; decision analysis; supply chain and logistics management; business big data analysis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The function of supply chain management is to design and manage the processes, assets, and flows of material and information required to satisfy customers’ demands. The globalization of the economy and electronic commerce has heightened the strategic importance of supply chain management. E-logistics has created new distribution channels for consumers. The last decade has seen rapid growth in business models built around digital platforms that bring together buyers and sellers to interact and trade in new and innovative ways. These business models, referred to as the sharing economy, on-demand economy, and platform economy, bring new challenges to supply chain management and logistics. The COVID-19 pandemic has profoundly affected the stability of global logistics and supply chains. Rapid advances and complexity in digital technology, such as big data, cloud computing, blockchain, and artificial intelligence (AI), as well as the growing uncertainty in the global business environment, have had a profound impact on the development of supply chain management and logistics. The global economy and advanced digital technologies have also generated unprecedented opportunities for innovative methodologies and technologies for designing, operating, and managing supply chains and logistics.

This Special Issue aims to collate original research papers that offer the latest developments and applications of supply chain management and logistics in a broad range of fields.

  • sustainable supply chain;
  • green supply chain;
  • low-carbon supply chain;
  • closed-loop supply chain;
  • omni-channel supply chain;
  • low-carbon logistics;
  • supply chain agility;
  • supply chain adaptability;
  • dynamic supply chain alignment;
  • supply chain resilience;
  • mathematical logistics;
  • game theory;
  • contract design;
  • information economy;
  • marketing;
  • big data;
  • blockchain;
  • artificial intelligence;
  • platform economy;
  • on-demand economy;
  • sharing economy;
  • digital economy;
  • multiple-criteria decision-making.

Prof. Dr. Chunqiao Tan
Guest Editor

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 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.

Published Papers (4 papers)

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Research

23 pages, 6223 KiB  
Article
Research on Dynamic Takeout Delivery Vehicle Routing Problem under Time-Varying Subdivision Road Network
by Fengjie Xie, Zhiting Chen and Zhuan Zhang
Mathematics 2024, 12(7), 962; https://doi.org/10.3390/math12070962 - 24 Mar 2024
Viewed by 546
Abstract
For the dynamic takeout delivery vehicle routing problem, which faces fluctuating order demand and time-varying speeds, this study presents a novel approach. We analyze the time distribution of takeout orders and apply a Receding Horizon Control (RHC) strategy to convert the dynamic challenge [...] Read more.
For the dynamic takeout delivery vehicle routing problem, which faces fluctuating order demand and time-varying speeds, this study presents a novel approach. We analyze the time distribution of takeout orders and apply a Receding Horizon Control (RHC) strategy to convert the dynamic challenge into a static one. The driving speed of delivery vehicles on different roads at different times is determined based on the subdivision criteria of the urban road network and a traffic congestion measurement method. We propose a dynamic takeout delivery vehicle routing optimization model and a time-varying subdivision road network is established to minimize the total delivery cost. We validated the model through simulation examples. The optimization results show that the total distribution cost is reduced after considering the time-varying subdivision road network, with the penalty cost decreasing by 39%. It is evident that considering the subdivision of the road network can enhance order delivery efficiency and optimize the overall dining experience. The sensitivity analysis of various parameters reveals that the delivery platform must appropriately determine the time domain and allocate the number of delivery personnel based on order scale to avoid escalating delivery costs. These findings provide theoretical guidance for vehicle routing planning in the context of delivery platforms. Full article
(This article belongs to the Special Issue Applied Mathematics in Supply Chain and Logistics)
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24 pages, 6000 KiB  
Article
Usefulness of the Ordinal Logistic Biplot: Analysis of the Path Taken towards a Circular Primary Sector in Spain
by Saudi-Yulieth Enciso-Alfaro, Víctor Amor-Esteban, Davi-Jônatas Cunha-Araújo and Isabel-María García-Sánchez
Mathematics 2024, 12(2), 322; https://doi.org/10.3390/math12020322 - 18 Jan 2024
Viewed by 800
Abstract
Population growth and greater global interconnection require a profound transformation in how we produce, consume, and manage natural resources. In this sense, the circular transition of the agricultural and livestock sectors is vital to guarantee adequate production without compromising the availability of resources [...] Read more.
Population growth and greater global interconnection require a profound transformation in how we produce, consume, and manage natural resources. In this sense, the circular transition of the agricultural and livestock sectors is vital to guarantee adequate production without compromising the availability of resources for future generations. In this work, we analyze the level of circular development of the primary sector in Spain using a sample of the 84 largest companies. We utilize the biplot analysis, multivariate graphic models that represent the joint distribution of four scores (constructed with sixteen ecological initiatives), and three financial and geographic variables. These techniques allow for visualization of the status and the relationships between all of them. We evidence an important degree of progress in initiatives associated with the use of non-polluting energy, eco-design, eco-innovation, management, and care of ecosystems. We also observe that the current transition towards a circular primary sector is strongly associated with firms’ capital investments and long-term innovations. On the other hand, the actions aimed at protecting water resources are in an intermediate state of progress, being necessary to invest in additional friendly water initiatives. In this vein, it is advisable to promote public policies focused on promoting the ecological transition of this sector and the research that advances efficient water management. Full article
(This article belongs to the Special Issue Applied Mathematics in Supply Chain and Logistics)
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20 pages, 1972 KiB  
Article
Recycling Pricing and Government Subsidy Strategy for End-of-Life Vehicles in a Reverse Supply Chain under Consumer Recycling Channel Preferences
by Zhiguo Wang
Mathematics 2024, 12(1), 35; https://doi.org/10.3390/math12010035 - 22 Dec 2023
Viewed by 679
Abstract
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 [...] Read more.
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. Full article
(This article belongs to the Special Issue Applied Mathematics in Supply Chain and Logistics)
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15 pages, 4026 KiB  
Article
On the Fundamental Diagram for Freeway Traffic: Exploring the Lower Bound of the Fitting Error and Correcting the Generalized Linear Regression Models
by Yidan Shangguan, Xuecheng Tian, Sheng Jin, Kun Gao, Xiaosong Hu, Wen Yi, Yu Guo and Shuaian Wang
Mathematics 2023, 11(16), 3460; https://doi.org/10.3390/math11163460 - 09 Aug 2023
Viewed by 707
Abstract
In traffic flow, the relationship between speed and density exhibits decreasing monotonicity and continuity, which is characterized by various models such as the Greenshields and Greenberg models. However, some existing models, i.e., the Underwood and Northwestern models, introduce bias by incorrectly utilizing linear [...] Read more.
In traffic flow, the relationship between speed and density exhibits decreasing monotonicity and continuity, which is characterized by various models such as the Greenshields and Greenberg models. However, some existing models, i.e., the Underwood and Northwestern models, introduce bias by incorrectly utilizing linear regression for parameter calibration. Furthermore, the lower bound of the fitting errors for all these models remains unknown. To address above issues, this study first proves the bias associated with using linear regression in handling the Underwood and Northwestern models and corrects it, resulting in a significantly lower mean squared error (MSE). Second, a quadratic programming model is developed to obtain the lower bound of the MSE for these existing models. The relative gaps between the MSEs of existing models and the lower bound indicate that the existing models still have a lot of potential for improvement. Full article
(This article belongs to the Special Issue Applied Mathematics in Supply Chain and Logistics)
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