Research on the Architecture of Cold Chain Logistics Multimedia Monitoring and Tracking Service Platform Based on Fuzzy Sorting and Heuristic Algorithm

Zhang, Qi

doi:10.1155/2021/5998153

“…Multidimensional ontology is used to represent abnormal logistics, including positional ontology, social ontology, and dynamic ontology. An intelligent agent is used to independently, flexibly, and synergistically monitor abnormal information of outward logistics [4]. Han et al adopted the method of empirical research, first proposed relevant theoretical assumptions, designed the corresponding questionnaire and carried out the survey, and studied the key factors affecting the success of information logistics strategy.…”

Section: Literature Reviewmentioning

confidence: 99%

Logistics Information Intelligent Platform Based on Dynamic Network Data

Kang

¹

2022

Security and Communication Networks

3

0

1

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In order to reduce the carbon emissions of cold chain logistics and promote the construction of ecological civilization, a logistics distribution path optimization model with the minimum total cost as the objective function under the carbon tax system was proposed. The model comprehensively considers the technical advantages of the Internet of things and the characteristics of cold chain logistics; introduces soft time window, customer satisfaction, and carbon emissions as the main constraint conditions; uses the improved genetic algorithm to solve the mathematical model; uses Matlab to encode; and shows the effectiveness and rationality of the model and algorithm through examples. The experimental results show that: The total cost is 9917.12 yuan, customer satisfaction is 97.07%, carbon emission is 161.06 kg, carbon tax is 5.64 yuan/ton, fixed cost is 600 yuan, transportation cost is 72.72 yuan, refrigeration cost is 8811.73 yuan, cargo damage cost is 427.03 yuan, penalty cost is 0 yuan, The validity of the algorithm and the rationality of the model are verified. When enterprises add a carbon tax constraint, the total cost of cold chain distribution is reduced, and the carbon emission is reduced compared with that without carbon tax. The research can provide a reference for enterprise cold chain logistics distribution decisions.

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“…At the same time, due to the complexity of dynamic vehicle scheduling, the existing theoretical research is difficult to put into practice, resulting in low efficiency of vehicle distribution. Zhang et al took the nearest distance of TSP as the basis of the heuristic algorithm and constructed the evaluation function of the algorithm for solution [4]. Han et al proposed an optimization method considering transportation distance constraints and solved the VRP problem with the simulated annealing algorithm [5].…”

Section: Literature Reviewmentioning

confidence: 99%

Application of the Logistics Management System Based on Cloud Computing Technology

Zhang

¹

2022

Journal of Control Science and Engineering

1

0

1

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In order to solve the vehicle routing optimization problem of cold chain logistics distribution, this paper proposes a vehicle routing optimization method of cold chain logistics distribution based on cloud computing technology. This paper analyzes the advantages of processing the real-time routing of distribution vehicles under the cloud computing mode and establishes the application service architecture of vehicle routing optimization in cold chain logistics; under this architecture, multisource real-time traffic information is obtained, the vehicle distribution time and comprehensive cost are analyzed, the vehicle routing optimization model of cold chain logistics distribution is constructed, and the coarse-grained parallel genetic algorithm is used to solve the model in the cloud computing environment. The experimental results show that if W 1 = 0 , W 2 = 1 , the optimal path is 0-6-7-3-1-4-2-8-5, the total cost is 1620 yuan, the total mileage is 72 km, the vehicle driving time is 2.17 hours, and the calculation time is 10.79 s; let W 1 = 1 , W 2 = 0 , the optimal path is 0-5-6-7-2-4-3-1-8, the vehicle travel time is 1.84 hours, the total cost is 1736 yuan, the total mileage is 76 km, and the calculation time is 11.56 s. The optimal path is obtained in the effective time range. Conclusion. The real-time route optimization method of refrigerated vehicles in the cloud computing environment is effective. This method has practical significance to realize fine control of cold chain logistics distribution cost and improve distribution service efficiency.

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“…This strategy reduces the chances of the product being spoiled and minimizes the emissions due to product waste and unnecessary equipment run (Xiao et al. , 2016; Zhang, 2021; Ndraha et al. , 2018; Balachandar and Chinnaiyan, 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

“…However, to avoid any unnecessary operation run of the processing units and product waste, it is essential to monitor these parameters accurately. This strategy reduces the chances of the product being spoiled and minimizes the emissions due to product waste and unnecessary equipment run (Xiao et al, 2016;Zhang, 2021;Ndraha et al, 2018;Balachandar and Chinnaiyan, 2019).…”

Section: Performance Of Cold Supply Chainmentioning

confidence: 99%

A sustainable framework development and assessment for enhancing the environmental performance of cold supply chain

Kumar

¹

,

Tyagi

²

,

Sachdeva

³

2022

MEQ

10

0

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PurposeThe current study aims to deliver a consolidated view of environmental sustainability in cold supply chain performance systems (CSCPS), incorporating theoretical and empirical analysis for improving environmental standards. For this purpose, this study firstly aims to explore and analyze the various crucial challenging factors for environmental sustainability in the cold supply chain (CSC). Secondly, it discovers the most effective sustainable strategies for improving the environmental sustainability of CSCPS.Design/methodology/approachThe exploration of the crucial challenging factors and the proposed sustainable strategies have been done using a systematic literature review relevant to the sustainable performance of CSC. At the same time, semi-structured brainstorming sessions were conducted with the domain professionals having an industrial and academic background to finalize the strategies. Empirical analysis has been performed using an intuitionistic fuzzy (IF) based hybrid approach of SWARA and COPRAS methods.FindingsThe key findings of the study address that “higher energy consumption during refrigerated transportation and storage” is the most crucial challenge for environmental sustainability in CSC. In addition, “managerial refrain to profit decline due to sustainability implementation” is the second most crucial challenge that hinders the adoption of sustainable practices in CSCs. Meanwhile, the governmental attention to motivating organizations for green adoption and implementation of solar energy-driven refrigeration technologies are the two most important discoveries of the study that might help in improving CSC's environmental performance.Research limitations/implicationsFrom the implications side, the study enriches and extends the current literature content on CSC sustainability. In addition, it offers sound managerial implications by identifying the challenges that create threats among the management for sustainability adoption and suggesting the most suitable sustainable strategies, which may help the management to raise the environmental performance of their CSC. Besides having various important theoretical and managerial implications for the study, contemplation of only environmental sustainability traits as a broader perspective limits the scope of the study.Originality/valueThe study's main contribution is the exploration of the most crucial challenges imparting obstructions in sustainable development and sustainable strategies, which may get the interest of the CSC players, market leaders, and industrial and academic practitioners working in the domain of CSC sustainability. In addition, this study offers structured theoretical and empirical evidence for CSC's environmental sustainability, thus playing a bridging role between theoretical sustainability concepts and its practical implications in CSC industries.

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Research on the Architecture of Cold Chain Logistics Multimedia Monitoring and Tracking Service Platform Based on Fuzzy Sorting and Heuristic Algorithm

Cited by 6 publications

References 13 publications

Logistics Information Intelligent Platform Based on Dynamic Network Data

Logistics Information Intelligent Platform Based on Dynamic Network Data

Application of the Logistics Management System Based on Cloud Computing Technology

A sustainable framework development and assessment for enhancing the environmental performance of cold supply chain

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