Design and implementation of cloud platform for intelligent logistics in the trend of intellectualization

Yang, Mengke; Movahedipour, Mahmood; Zhou, Xiaoguang; Salam, Shafaq; Latif, Zahid

doi:10.1109/cc.2017.8107642

Cited by 41 publications

(27 citation statements)

References 7 publications

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“…As an important part of emergency rescue, emergency logistics still needs to be improved in some places, especially under the influence of big data and Internet of Things, intelligent logistics including emergency rescue has emerged [11] , so emergency logistics learning and research is a long process. In the theoretical study of emergency logistics, it is necessary to further contact with the actual situation, and the combination of theory and practice can solve the problems related to emergency rescue more efficiently.…”

Section: Resultsmentioning

confidence: 99%

Emergency logistics vehicle routing optimization based on insufficient supply

2019

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In the face of various emergencies, emergency logistics vehicles are required to meet the needs of the affected areas in a short enough time. However, due to the suddenness of the incident and the shortage of relief supplies, it is necessary to further consider how to optimize the route of emergency vehicles in case of insufficient supply. In this paper, when the supply point is insufficient, the emergency vehicle routing can be optimized in the shortest possible time and at the same time to meet the requirements of the disaster site. By establishing the corresponding mathematical model and using the genetic algorithm to solve the relevant examples, the new solution is provided for the emergency logistics vehicle routing problem when the relief materials are insufficient. According to the analysis results of the example, the effectiveness of the optimization method is further demonstrated, and theoretical support is provided for relevant decision makers.

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Section: Resultsmentioning

confidence: 99%

Emergency logistics vehicle routing optimization based on insufficient supply

2019

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“…Li et al [11] design a cold chain logistics system based on cloud computing, which helps bring better cooperation between cold chain logistics and their customers, realize co-control of product sales information, and maximize interest of all parties. Yang et al [12] establish the intelligent logistics service platform based on cloud computing, through which the open-access cloud services including distribution, positioning, navigation, and scheduling can be offered. Li et al [13] study the problem of resource virtualization and service encapsulation in Cloud Logistics (CL).…”

Section: Research On Cloud Logisticsmentioning

confidence: 99%

A Grasshopper Optimization-Based Approach for Task Assignment in Cloud Logistics

Zhang

2020

Mathematical Problems in Engineering

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A framework for the algorithm-based CL platform is established, based on which, the operational mode of it is described in detail. An integrated logistics task assignment model is built to optimally match logistics service resources and task of large scale in the algorithm-based CL. Particularly, an improved grasshopper optimization-based bitarget optimization algorithm (GROBO) is proposed to solve the biobjective programming model for service matching in CL. The case of Linyi small commodity logistics is taken as an application. Simulation results show that the proposed GROBO provides better solutions regarding to searching efficiency and stability in solving the model.

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“…Due to the increasing number of connected vehicles, the security, reliability, availability, robustness, and scalability of services are becoming new quality requirements in ACPs [16]. The extent of architectures in ACPs ranges from multilayered architectures [7] to service-oriented architectures (SOA) [22,32]. Datta et al [8] designed a framework for connected vehicles to offer consumer-centric services and a uniform mechanism for describing and collecting vehicular sensors' data.…”

Section: Software Architectures Of Automoitve Cloud Platformsmentioning

confidence: 99%

Kuksa: A Cloud-Native Architecture for Enabling Continuous Delivery in the Automotive Domain

Banijamali

Jamshidi

Kuvaja

et al. 2019

Product-Focused Software Process Improvement

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Connecting vehicles to cloud platforms has enabled innovative business scenarios while raising new quality concerns, such as reliability and scalability, which must be addressed by research. Cloud-native architectures based on microservices are a recent approach to enable continuous delivery and to improve service reliability and scalability. We propose an approach for restructuring cloud platform architectures in the automotive domain into a microservices architecture. To this end, we adopted and implemented microservices patterns from literature to design the cloud-native automotive architecture and conducted a laboratory experiment to evaluate the reliability and scalability of microservices in the context of a real-world project in the automotive domain called Eclipse Kuksa. Findings indicated that the proposed architecture could handle the continuous software delivery over-the-air by sending automatic control messages to a vehicular setting. Different patterns enabled us to make changes or interrupt services without extending the impact to others. The results of this study provide evidences that microservices are a potential design solution when dealing with service failures and high payload on cloud-based services in the automotive domain.

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Design and implementation of cloud platform for intelligent logistics in the trend of intellectualization

Cited by 41 publications

References 7 publications

Emergency logistics vehicle routing optimization based on insufficient supply

Emergency logistics vehicle routing optimization based on insufficient supply

A Grasshopper Optimization-Based Approach for Task Assignment in Cloud Logistics

Kuksa: A Cloud-Native Architecture for Enabling Continuous Delivery in the Automotive Domain

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