Channel selection and fulfillment service contracts in the presence of asymmetric service information

Zhou, Rui; Liao, Yi; Shen, Wenjing

doi:10.1016/j.ijpe.2019.09.025

Cited by 36 publications

(17 citation statements)

References 46 publications

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“…These results indicate that the ant colony algorithm can effectively solve the MDGVRP problem. In the future, the proposed ideas may be implemented for testing the performance for solving other variants of combinatorial optimization problems in logistics and supply management [33]. Moreover, with the development of alternative fuel-powered vehicles and a growing concern for environmental protection, we believe that the research on MDGVRP can be applied to other types of VRP with additional social-consideration-type constraints.…”

Section: Discussionmentioning

confidence: 99%

Multi-Depot Green Vehicle Routing Problem to Minimize Carbon Emissions

et al. 2020

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A Multi-Depot Green Vehicle Routing Problem (MDGVRP) is considered in this paper. In MDGVRP, Alternative Fuel-powered Vehicles (AFVs) start from different depots, serve customers, and, at the end, return to the original depots. The limited fuel tank capacity of AFVs forces them to visit Alternative Fuel Stations (AFS) for refueling. The objective is to minimize the total carbon emissions. A Two-stage Ant Colony System (TSACS) is proposed to find a feasible and acceptable solution for this NP-hard (Non-deterministic polynomial-time) optimization problem. The distinct characteristic of the proposed TSACS is the use of two distinct types of ants for two different purposes. The first type of ant is used to assign customers to depots, while the second type of ant is used to find the routes. The solution for the MDGVRP is useful and beneficial for companies that employ AFVs to deal with the various inconveniences brought by the limited number of AFSs. The numerical experiments confirm the effectiveness of the proposed algorithms in this research.

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Section: Discussionmentioning

confidence: 99%

Multi-Depot Green Vehicle Routing Problem to Minimize Carbon Emissions

et al. 2020

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“…Second, other diversification techniques can be applied for use in these problems such as scatter search or path-relinking. Finally, the effectiveness of the proposed ideas for tackling the MDGVRP suggests that in the future we test the performance for solving other variants of the vehicle routing problems or other similar combinatorial optimization problems in logistics and supply management [28].…”

Section: Conclusion and Future Researchmentioning

confidence: 99%

Solving the Multi-Depot Green Vehicle Routing Problem by a Hybrid Evolutionary Algorithm

Peng

et al. 2020

Sustainability

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The growing concerns about human pollution has motivated practitioners and researchers to focus on the environmental and social impacts of logistics and supply chains. In this paper, we consider the environmental impact of carbon dioxide emission on a vehicle routing problem with multiple depots. We present a hybrid evolutionary algorithm (HEA) to tackle it by combining a variable neighborhood search and an evolutionary algorithm. The proposed hybrid evolutionary algorithm includes several distinct features such as multiple neighborhood operators, a route-based crossover operator, and a distance- and quality-based population updating strategy. The results from our numerical experiments confirm the effectiveness and superiority of the proposed HEA in comparison with the best-performing methods in the literature and the public exact optimization solver CPLEX. Furthermore, an important aspect of the HEA is studied to assess its effect on the performance of the HEA.

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“…They show that offline channel establishments are synergistic with existing online channels and would increase product demand. In more recent years, the focus has moved to the strategy of an online firm on whether to implement an offline entry (Arya and Mittendorf, 2018; Zhang and Zhang, 2020; Zhou et al., 2020) and to the specific forms of online‐to‐offline channel strategy, such as buy‐online‐and‐pick‐up‐in‐store (BOPS) and physical showroom. Many scholars have paid attention to the study of the BOPS strategy, including pricing and service strategy (Cao et al., 2016; Jiang et al., 2020b), inventory and distribution strategy (Gao and Su, 2017a; Shi et al., 2018), and advertising strategy (Li et al., 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

Should an online manufacturer partner with a competing or noncompeting retailer for physical showrooms?

Bin

Zhang

Guan

et al. 2020

Int Trans Operational Res

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More and more online manufacturers collaborate with offline retailers who provide retail services to showcase products in offline retailers’ stores and feature the stores as physical showrooms. Since offline retailers may be noncompeting or competing depending on the product they sell, we investigate two collaboration strategies. Our results show that product competition causes the decreased demand that is realized through physical showroom (negative competition effect) and the increased demand to buy online directly (positive spillover effect) for the online manufacturer. When the positive spillover effect dominates the negative competition effect, the online manufacturer prefers to partner with the competing retailer and strategically sets a high price. Interestingly, the online manufacturer's willingness to partner with the competing retailer may increase with competing product value. Besides, the online manufacturer may benefit from the increased value of the competing product and the increased commission that is paid to the retailer under product competition.

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Channel selection and fulfillment service contracts in the presence of asymmetric service information

Cited by 36 publications

References 46 publications

Multi-Depot Green Vehicle Routing Problem to Minimize Carbon Emissions

Multi-Depot Green Vehicle Routing Problem to Minimize Carbon Emissions

Solving the Multi-Depot Green Vehicle Routing Problem by a Hybrid Evolutionary Algorithm

Should an online manufacturer partner with a competing or noncompeting retailer for physical showrooms?

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