Forward and reverse logistics vehicle routing problems with time horizons in B2C e-commerce logistics

Zhang, Mengdi; Pratap, Saurabh; Zhao, Zhiheng; Prajapati, Dhirendra; Huang, George Q.

doi:10.1080/00207543.2020.1812749

Cited by 35 publications

(22 citation statements)

References 36 publications

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“…In transport problems, and also in RL, a large number of optimization and deep learning algorithms and other artificial intelligence tools are used. These problems cover a wide variety of application and are frequently used to determine the best strategies to help decision-makers in real time, especially in reactive modes (see for example [47][48][49][50][51][52][53][54][55]). An integration of these algorithms and these tools into the rules included in smart contracts, combined with quality information or data from blockchains will have the advantage of accelerating decision-making and response solutions.…”

Section: Blockchain As a Smart Contract Utilitymentioning

confidence: 99%

“…Smart contracts, as we have seen in potential applications, aid transactions and operations management along the transportation and logistics, including RL, areas. There are also many algorithms that exist for planning and design of such networks (see e.g., [47,[49][50][51][53][54][55]). Integrating smart contract algorithms with these established RL and transportation models and their effectiveness is an important and valuable area for investigation.…”

Section: Potential Research Directionsmentioning

confidence: 99%

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Digitalizing the Closing-of-the-Loop for Supply Chains: A Transportation and Blockchain Perspective

et al. 2021

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The circular economy is gaining in importance globally and locally. The COVID-19 crisis, as an exceptional event, showed the limits and the fragility of supply chains, with circular economy practices as a potential solution during and post-COVID. Reverse logistics (RL) is an important dimension of the circular economy which allows management of economic, social, and environmental challenges. Transportation is needed for RL to effectively operate, but research study on this topic has been relatively limited. New digitalization opportunities can enhance transportation and RL, and therefore further enhance the circular economy. This paper proposes to review practical research and concerns at the nexus of transportation, RL, and blockchain as a digitalizing technology. The potential benefits of blockchain technology through example use cases on various aspects of RL and transportation activities are presented. This integration and applications are evaluated using various capability facets of blockchain technology, particularly as an immutable and reliable ledger, a tracking service, a smart contract utility, as marketplace support, and as tokenization and incentivization. We also briefly introduce the physical internet concept within this context. The physical internet paradigm proposed last decade, promises to also disrupt the blockchain, transportation, and RL nexus. We include potential research directions and managerial implications across the blockchain, transportation, and RL nexus.

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Section: Blockchain As a Smart Contract Utilitymentioning

confidence: 99%

Section: Potential Research Directionsmentioning

confidence: 99%

Digitalizing the Closing-of-the-Loop for Supply Chains: A Transportation and Blockchain Perspective

et al. 2021

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“…More works devoted to the collection of other wastes [3]. Among the numerous types of VRP , VRP with time windows and capacitated VRP have been widely investigated by the previous research [4][5][6].…”

Section: Literature Reviewmentioning

confidence: 99%

Transportation Risk Control of Waste Disposal in the Healthcare System with Two-Echelon Waste Collection Network

Lyu

et al. 2021

Mathematical Problems in Engineering

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This paper investigates a vehicle routing problem arising in the waste collection of the healthcare system with the concern of transportation risk. Three types of facilities abstracted from the health system are investigated in this paper, namely, facilities with collection points, facilities without collection points, and small facilities. Two-echelon collection mode is applied in which the waste generated by small facilities is first collected by collection points, and then transferred to the recycling centre. To solve this problem, we propose a mixed-integer linear programming model considering time windows and vehicle capacity, and we use particle swarm optimisation (PSO) algorithm for solving large-scale problems. Numerical experiments show the capability of the proposed algorithm. Sensitivity analysis is conducted to investigate the influence of facilities with collection points and the collection routes. This research can provide a decision support tool for the routing of waste collection in the healthcare system.

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“…It is widely accepted that "demand-enhancing services" play an important role in the operational decisions of e-commerce platforms. Obviously, logistics service is one of demand-enhancing services because consumers prefer to products with lower delivery time and commodity wastage [48][49][50][51][52][53][54][55][56]. A massive amount of literature examine how logistics services can affect the operational decisions of e-commerce platforms.…”

Section: The Effects Of Logistics Service On the Operational Decisions Of E-commerce Platformsmentioning

confidence: 99%

“…A massive amount of literature examine how logistics services can affect the operational decisions of e-commerce platforms. One stream of litera-ture refers to the optimal logistics systems including routing problems and dispatching operations designed by e-commerce platforms based on programming models [48][49][50].…”

Section: The Effects Of Logistics Service On the Operational Decisions Of E-commerce Platformsmentioning

confidence: 99%

How Should E-Commerce Platforms Subsidize Retailers with Logistics Constraints during an Epidemic Scenario? Considering Power Structure and Altruistic Preference

Zhang

2021

JTAER

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To maintain the sustainable development of a platform’s economy, e-commerce platforms put forward various subsidy programs to retailers selling on them during COVID-19. This paper investigates an e-commerce platform’s decision on subsidizing a retailer selling on it with logistics constraints during an epidemic scenario, with a focus on the role of power structure and altruistic preference. By constructing two Stackelberg game models, the research obtains the optimal subsidy under two power structures (i.e., the dominant platform and the weaker platform), respectively. The comparison between them shows that the conditions of the dominant platform giving subsidies (both altruistic preference and logistics constraints should be higher enough) are stricter than the weaker platform. Considering the same altruistic preference and logistics constraints, the optimal subsidy provided by the weaker platform should always be not less than the dominant platform. However, the weaker platform, surprisingly, can get more utility by lowering its altruistic preference voluntarily when the commission fee is low. No matter what the power structure is, the optimal subsidy increases with the logistics service coefficient and altruistic preference, and the dominant member’s profit/utility is not less than the weaker one, which confirms “the first mover advantage”. Finally, more managerial implications to the platform-retailer systems are discussed.

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Forward and reverse logistics vehicle routing problems with time horizons in B2C e-commerce logistics

Cited by 35 publications

References 36 publications

Digitalizing the Closing-of-the-Loop for Supply Chains: A Transportation and Blockchain Perspective

Digitalizing the Closing-of-the-Loop for Supply Chains: A Transportation and Blockchain Perspective

Transportation Risk Control of Waste Disposal in the Healthcare System with Two-Echelon Waste Collection Network

How Should E-Commerce Platforms Subsidize Retailers with Logistics Constraints during an Epidemic Scenario? Considering Power Structure and Altruistic Preference

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