Industrial information integration method to vehicle routing optimization using grey target decision

Guo, Kai; Hu, Shanshan; Zhu, Hai Ping; Tan, Wenan

doi:10.1016/j.jii.2022.100336

Cited by 22 publications

(17 citation statements)

References 42 publications

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“…The emergence of the Internet has changed the traditional methods of communication, information retrieval and information delivery (Guo et al, 2022; Kim et al, 2022; Li et al, 2008; Lu, 2019; Lu & Ning, 2020; Mellado & Núñez, 2022; Pradhan & Chawla, 2020; Tan et al, 2010; Viriyasitavat et al, 2019; Wang et al, 2022; Xu, 2011; Xu & Viriyasitavat, 2019). Consumers are increasingly using various network platforms to share and exchange information about products and services, and E‐Wom has emerged as the times require.…”

Section: Literature Reviewmentioning

confidence: 99%

The influence of AI word‐of‐mouth system on consumers' purchase behaviour: The mediating effect of risk perception

et al. 2022

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Artificial intelligence (AI) technology is playing an increasingly important role in achieving precision marketing. AI word‐of‐mouth system marketing focuses most on the entry point of consumers—the key information that leads consumers to buy. Based on consumer behaviour theory and information communication theory, this study constructs a research model of the influence of positive and negative online word of mouth on consumer purchase behaviour from the AI word‐of‐mouth system's four dimensions: professional degree, information quality, information quantity and information intensity. The results show that in the analysis of perceived risk, whether for positive or negative online word of mouth, consumers pay more attention to the number of information features than information quality and information intensity. In the purchase behaviour analysis, consumers are most concerned about information quality and information intensity. Perceived risk plays a mediating role in the influence of AI word of mouth on purchasing behaviour.

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Section: Literature Reviewmentioning

confidence: 99%

The influence of AI word‐of‐mouth system on consumers' purchase behaviour: The mediating effect of risk perception

et al. 2022

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“…The proposed models are compared with four past works, namely Ghannadpour et al (2014), Zhang et al (2019), Wang et al (2021 and Guo et al (2022). All these four works, which are reviewed in Section 2, studied variants of the VRP and treated them as multi-objective problems, and algorithms were proposed to solve the problems.…”

Section: Comparisons Of Modelsmentioning

confidence: 99%

A genetic-based approach for vehicle routing problem with fuzzy alpha-cut constraints

Lee,

Kang

2023

Preprint

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In today’s business environment, logistics and supply chain management are especially important for the timely delivery of materials and goods. Delivery must not only be fast, it also needs to be performed within a specific time frame. Therefore, this study examines a vehicle routing problem (VRP) that considers multiple goals and allows vehicles to reach their destinations within a time window with a crashed traveling time. Two objectives are considered, the minimization of total cost and the maximization of customer satisfaction. Firstly, a fuzzy multi-objective linear programming (FMOLP) model with fuzzy alpha-cut constraints is proposed for multi-objective optimization, and then an improved genetic algorithm (IGA) is constructed to solve large-scale problems. The performances of the proposed methods are evaluated through several case studies. Design of experiments and sensitivity analysis are applied to evaluate the performance and robustness of IGA. The results show that both the FMOLP and IGA are effective, and the IGA can efficiently obtain a near-optimal solution.

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“…Wang et al [2] from the perspective of low carbon economy, established an optimization model of double-layer location routing city distribution network considering the external cost of carbon emissions. Guo [3] established a multi-objective low-carbon logistics optimization model based on the pollution cost and transportation efficiency caused by carbon emissions, and improved genetic algorithm using elite non dominant strategy to solve Pareto optimization. Hasan [4] and others studied the carbon emissions in the storage and transportation system, and proved the correlation between carbon price and total profit by optimizing the inventory levels under the carbon tax, quota and trading mechanism in different scenarios.…”

Section: Introductionmentioning

confidence: 99%

Study on location-routing-problem of rural logistics network considering carbon emissions

Zhang¹,

Wang²,

Zhang³

2023

Second International Conference on Green Communication, Network, and Internet of Things (CNIoT 2022)

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In recent years, with the rapid development of the digital economy and the rise of the rural e-commerce economy, the rural sinking logistics market has gradually demonstrated its potential. However, most of the current rural logistics problems are the low penetration rate of new energy technologies, the widespread idling of vehicles and so on, leading to the high carbon emissions of rural logistics. In this context, based on the consideration of the application of new energy, delivery strategy, vehicle carbon emission calculation and other low carbon optimization methods, this paper establishes a location-routing optimization model with the lowest comprehensive cost of node construction cost, operation cost, transportation cost, carbon emission cost and other optimization goals. Taking Jiangcheng County, Pu'er City as the background, this paper analyzes a calculation example, and compares the carbon emission constraints in the model. The reliability and effectiveness of the model and algorithm are verified.

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Industrial information integration method to vehicle routing optimization using grey target decision

Cited by 22 publications

References 42 publications

The influence of AI word‐of‐mouth system on consumers' purchase behaviour: The mediating effect of risk perception

The influence of AI word‐of‐mouth system on consumers' purchase behaviour: The mediating effect of risk perception

A genetic-based approach for vehicle routing problem with fuzzy alpha-cut constraints

Study on location-routing-problem of rural logistics network considering carbon emissions

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