Logistics Optimization in Supply Chain Management using Clustering Algorithms

Prabhu, Rajkamal; Hema, G; Chepure, Srilatha; Guptha, M. Nageswara

doi:10.12694/scpe.v21i1.1628

Cited by 9 publications

(7 citation statements)

References 19 publications

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“…The Internet of Things technology includes computer and Internet technology. It identifies and manages physical objects through modern information technology and uses wireless communication technology to achieve information exchange [ 10 ]. The Internet of Things has obvious advantages, the most notable feature of which is that it greatly reduces production costs while improving economic benefits.…”

Section: International Trade Logistics Optimization Methodsmentioning

confidence: 99%

Optimal Design of International Trade Logistics Based on Internet of Things Technology

Wang

2022

Computational Intelligence and Neuroscience

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With the global industrial integration, trade exchanges between countries are becoming more and more frequent and the competition for related international trade logistics is becoming more and more intense. This paper aims to study the optimization design of international trade logistics based on Internet of Things technology. For this reason, this paper proposes an RFID method, through which it is possible to master a journey in the actual international trade logistics process. And it optimizes and improves its related paths, shortens the time delayed on the road, and achieves the purpose of mentioning the carrying capacity. And for the actual use effect, the relevant experiments and analysis parts are designed to simulate it. The experimental results of this paper show that the improved and optimized international trade logistics shortens the carrying time by 28.6% and increases the carrying capacity by 34.2%, which greatly promotes the development of the relevant international trade logistics industry.

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Section: International Trade Logistics Optimization Methodsmentioning

confidence: 99%

Optimal Design of International Trade Logistics Based on Internet of Things Technology

Wang

2022

Computational Intelligence and Neuroscience

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“…In the proposed research one virtual private network has been created with all autonomous vehicles which are travelling in a particular cluster. [2] Here each and every city will be treated as one cluster. If a new autonomous vehicles enters into this cluster it has to be approved by the admin which can be done automatically how a user joins new Wi-Fi network.…”

Section: Proposed Researchmentioning

confidence: 99%

“…• Stop So the above clustering algorithm helps the user to create cluster and identify the autonomous vehicles moving in that particular cluster. [2] Each and every activity performed by the autonomous vehicle will be tracked from the server side which is connected with in VPN. [13][14][15] The VPN server has access to communicate with each and every vehicle.…”

Section: Proposed Researchmentioning

confidence: 99%

Peer to Peer Communication Between the Autonomous Vehicles Using Virtual Private Network

Guruprasad¹,

M²,

S³

2021

Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bh

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Autonomous Vehicles based transportation system is the next generation transportation system in each and every country. All the developing and developed countries are very much interested in developing autonomous vehicle based transportation system to avoid the accidents. As per the statistics taken by the road transportation authorities in USA on an average of 60% of the accident are happening purely due to the mistakes of drivers. It is almost same in each and every country. Though strict rules and fines imposed still the problems are growing not reducing. The research on autonomous vehicles transportation system has been initiated almost 10 years back still the results are not found fruitful. As the concept of autonomous vehicles is the combination of both Software and Hardware. Though the Hardware Industry is growing day by day with many latest hardware components which includes IC's, Sensors, and IOT Devices etc.., to develop latest hard ware components. The possibility of manufacturing autonomous vehicles is improved a lot further, Countries like China, Singapore, USA already started running the trail autonomous transportation system along with driver assistance, but the biggest challenge faced by this autonomous vehicle transport system is with respect to software. Though the software industry growing day by day with many of the latest technologies like Artificial Intelligence, Machine Learning, Data Science, Big Data etc..,. But the biggest challenge with respect to autonomous vehicles lies in data communication between the vehicles and also identifying the natural disasters. The proposed research mainly concentrated on the cleaning of the collected data from the vehicles, so that the autonomous vehicles Can easily communicate with each other without any delay.

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“…Several types of unsupervised text clustering learning algorithms have been defined in the literature, including hierarchical, k-means, and partitioning and probabilistic clustering [83]. Recent applications of text clustering include reverse engineering [90], vehicle marketing [91], supply chains [92], logistic optimization [93], and the analysis of manufacturing capability [94].…”

Section: Text Clusteringmentioning

confidence: 99%

A Review of Uncertain Decision-Making Methods in Energy Management Using Text Mining and Data Analytics

et al. 2020

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The managerial and environmental studies conducted in the energy research area reflect its substantial importance, particularly when optimizing and modifying consumption patterns, transitioning to renewable sources away from fossil ones, and designing plans and systems. The aim of this study is to provide a systematic review of the literature allowing us to identify which research subjects have been prioritized in the fields of energy and sustainability in recent years, determine the potential reasons explaining these trends, and categorize the techniques applied to analyze the uncertainty faced by decision-makers. We review articles published in highly ranked journals through the period 2003–2020 and apply text analytics to cluster their main characteristics; that is, we rely on pre-processing and text mining techniques. We analyze the title, abstract, keywords, and research methodology of the articles through clustering and topic modeling and illustrate what methods and fields constitute the main focus of researchers. We demonstrate the substantial importance of fuzzy-related methods and decision-making techniques such as the Analytical Hierarchy Process and Technique for Order Preferences by Similarity to Ideal Solutions (TOPSIS). We also show that subjects such as renewable energy, energy planning, sustainable energy, energy policy, and wind energy have gained relevance among researchers in recent years.

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Logistics Optimization in Supply Chain Management using Clustering Algorithms

Cited by 9 publications

References 19 publications

Optimal Design of International Trade Logistics Based on Internet of Things Technology

Optimal Design of International Trade Logistics Based on Internet of Things Technology

Peer to Peer Communication Between the Autonomous Vehicles Using Virtual Private Network

A Review of Uncertain Decision-Making Methods in Energy Management Using Text Mining and Data Analytics

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