scholarly journals An Optimization Model of Raw Material Supply Chain Using Improved Genetic Algorithm for Primary and Secondary School Uniform under IoT Environment

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yumei Cui ◽  
Xinqun Feng
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Secondary School ◽  
Optimization Model ◽  
Raw Material ◽  
The Internet ◽  
Material Supply ◽  
School Uniform ◽  
The Internet Of Things ◽  
Primary And Secondary School

With the development of intelligent technology, the life cycle of products is becoming shorter and shorter. The traditional mode of supply chain selection cannot meet the demand of productivity development. Scientific and reasonable choice of school uniforms’ raw material supply chain is a necessary condition to assist school’s normal operation. Therefore, an optimization model for primary and secondary school clothing raw material supply chain based on the internet of things is proposed. In order to optimize the raw materials supply chain of primary and secondary school uniform, a model based on the internet of things is proposed. In the environment of the internet of things, from the perspective of supply chain configuration and enterprise’s expected risk minimization, this paper establishes the optimization model of raw material supply chain of primary and secondary school uniform based on the internet of things. Through the improved genetic algorithm to solve the model, the best raw material supply chain of primary and secondary school uniform is obtained. The simulation results show that the proposed model can effectively improve the asset utilization and execution efficiency of the supply chain and reduce the cost of the raw material supply chain of primary and secondary school uniform.

scholarly journals Improvement of C5.0 algorithm using internet of things with Bayesian principles for food traceability systems

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Balamurugan Souprayen ◽  
Ayyasamy Ayyanar ◽  
Suresh Joseph K
Keyword(s):  
Internet Of Things ◽  
Food Quality ◽  
Raw Material ◽  
The Internet ◽  
Content Type ◽  
Food Traceability ◽  
Material Supply ◽  
Data Prediction ◽  
The Internet Of Things

PurposeThe purpose of the food traceability is used to retain the good quality of raw material supply, diminish the loss and reduced system complexity.Design/methodology/approachThe proposed hybrid algorithm is for food traceability to make accurate predictions and enhanced period data. The operation of the internet of things is addressed to track and trace the food quality to check the data acquired from manufacturers and consumers.FindingsIn order to survive with the existing financial circumstances and the development of global food supply chain, the authors propose efficient food traceability techniques using the internet of things and obtain a solution for data prediction.Originality/valueThe operation of the internet of things is addressed to track and trace the food quality to check the data acquired from manufacturers and consumers. The experimental analysis depicts that proposed algorithm has high accuracy rate, less execution time and error rate.

Optimization of C5.0 Classifier With Bayesian Theory for Food Traceability Management Using Internet of Things

2020 ◽  
Vol 1 (1) ◽  
pp. 1-21
Author(s):  
Balamurugan Souprayen ◽  
Ayyasamy Ayyanar ◽  
Suresh Joseph K
Keyword(s):  
Internet Of Things ◽  
Raw Material ◽  
The Internet ◽  
Safety Measures ◽  
Food Traceability ◽  
Material Supply ◽  
Data Prediction ◽  
Period Data ◽  
The Internet Of Things

In order to survive with the existing financial circumstances and the development of global food supply chain, the authors propose efficient food traceability techniques using the internet of things and obtain a solution for data prediction. The purpose of the food traceability is used to retain the good quality of raw material supply, diminish the loss, and reduce system complexity. The primary issue is to tackle current limitations to prevent food defects from exceeding hazardous levels and to inform the safety measures to the customers. The proposed hybrid algorithm is for food traceability to make accurate predictions and enhanced period data. The operation of the internet of things is addressed to track and trace the food quality to check the data acquired from manufacturers and consumers. The experimental analysis depicts that proposed algorithm has high accuracy rate, less execution time and error rate.

Improving Opportunities in Healthcare Supply Chain Processes via the Internet of Things and Blockchain Technology

2021 ◽  
pp. 1635-1654
Author(s):  
Raja Jayaraman ◽  
Khaled Salah ◽  
Nelson King
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
The Internet ◽  
Chain Process ◽  
Product Recalls ◽  
Chain Processes ◽  
Blockchain Technology ◽  
Compromise Patient Safety ◽  
Supply Chain Process ◽  
The Internet Of Things

Despite key advances in healthcare informatics and management, little progress to address supply chain process-related problems has been made to date. Specifically, key healthcare supply chain processes include product recalls, monitoring of product supply shortages, expiration, and counterfeits. Implementing and executing these processes in a trusted, secure, efficient, globally accessible and traceable manner is challenging due to the fragmented nature of the healthcare supply chain, which is prone to systemic errors and redundant efforts that may compromise patient safety and impact health outcomes adversely. Blockchain, combined with the Internet of things (IoT), is an emerging technology that can offer a practical solution to these challenges. Accordingly, IoT blockchain offers a superior way to track and trace products via a peer-to-peer distributed, secure, and shared ledger of the blockchain network. This article highlights key challenges related to healthcare supply chains, and illustrates how IoT blockchain technologies can play a role in overcoming these challenges now and in the near future.

scholarly journals Research on measurement of supply chain finance credit risk based on Internet of Things

2019 ◽  
Vol 15 (9) ◽  
pp. 155014771987400 ◽  
Author(s):  
Waseem Ahmed Abbasi ◽  
Zongrun Wang ◽  
Yanju Zhou ◽  
Shahzad Hassan
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Credit Risk ◽  
Measurement Model ◽  
The Internet ◽  
Financial Model ◽  
Model Based ◽  
Supply Chain Finance ◽  
Credit Risk Measurement ◽  
The Internet Of Things

This article first expounds the concept of supply chain finance and its credit risk, describes the hierarchical structure of the Internet of Things and its key technologies, and combines the unique functions of the Internet of Things technology and the business process of the inventory pledge financing model to design the supply chain financial model based on the Internet of Things. Then it studies the credit risk assessment under the supply chain financial model based on the Internet of Things, and uses the support vector machine algorithm and Logistic regression method to establish a credit risk measurement model considering the subject rating and debt rating. Finally, an example analysis shows that the credit risk measurement model has a high accuracy rate for determining whether small and medium-sized enterprises in the supply chain financial model based on the Internet of Things are trustworthy. This will facilitate the revision and improvement of the existing credit evaluation system and improve the accuracy of measuring the current financial risk of supply chain. This research adopts the Internet of Things to measure financial credit risk in supply chain and provides a reference for the following researches.

IoT ecosystem faces fragmented future

2019 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Supply Chain ◽  
Internet Of Things ◽  
Data Privacy ◽  
The Internet ◽  
Privacy And Security ◽  
Content Type ◽  
Iot Devices ◽  
The Internet Of Things

Subject IoT ecosystem. Significance The market for the Internet of Things (IoT) or connected devices is expanding rapidly, with no manufacturer currently forecast to dominate the supply chain. This has fragmented the emerging IoT ecosystem, triggering questions about interoperability and cybersecurity of IoT devices. Impacts Firms in manufacturing, transportation and logistics and utilities are expected to see the highest IoT spending in coming years. The pace of IoT adoption is inextricably linked to that of related technologies such as 5G, artificial intelligence and cloud computing. Data privacy and security will be the greatest constraint to IoT adoption.

scholarly journals Three-level supply chain coordination of fresh agricultural products in the Internet of Things

2017 ◽  
Vol 117 (9) ◽  
pp. 1842-1865 ◽  
Author(s):  
Bo Yan ◽  
Xiao-hua Wu ◽  
Bing Ye ◽  
Yong-wang Zhang
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Supply Chain Coordination ◽  
Revenue Sharing ◽  
Agricultural Product ◽  
The Internet ◽  
Market Demand ◽  
Content Type ◽  
Revenue Sharing Contract ◽  
The Internet Of Things

Purpose The Internet of Things (IoT) is used in the fresh agricultural product (FAP) supply chain, which can be coordinated through a revenue-sharing contract. The purpose of this paper is to make the three-level supply chain coordinate in IoT by considering the influence of FAP on market demand and costs of controlling freshness on the road. Design/methodology/approach A three-level FAP supply chain that comprises a manufacturer, distributor, and retailer in IoT is regarded as the research object. This study improves the revenue-sharing contract, determines the optimal solution when the supply chain achieves maximum profit in three types of decision-making situations, and develops the profit distribution model based on the improved revenue-sharing contract to coordinate the supply chain. Findings The improved revenue-sharing contract can coordinate the FAP supply chain that comprises a manufacturer, distributor, and retailer in IoT, as well as benefit all enterprises in the supply chain. Practical implications Resource utilization rate can be improved after coordinating the entire supply chain. Moreover, loss in the circulation process is reduced, and the circulation efficiency of FAPs is improved because of the application of IoT. The validity of the model is verified through a case analysis. Originality/value This study is different from other research in terms of the combination of supply chain coordination, FAPs, and radio frequency identification application in IoT.

Value Enablement of Collaborative Supply Chain Environment Embedded With the Internet of Things

2020 ◽  
Vol 16 (3) ◽  
pp. 19-51
Author(s):  
Samir Yerpude ◽  
Tarun Kumar Singhal
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Supply Chains ◽  
Goodness Of Fit ◽  
The Internet ◽  
Chain Model ◽  
Time Data ◽  
Business Goals ◽  
The Impact ◽  
The Internet Of Things

Currently, industry is going through the fourth Industrial Revolution, also termed Industry 4.0. It is characterized mainly by the cyber-physical systems dominated by digital technologies such as the Internet of Things (IoT). Organizations are making significant effort to understand customer needs and subsequently align them to the business goals for achieving market leadership. It is imperative for the longevity of the organization that goods and services be made available to the customer at the most appropriate place, time, and price. Supply chains are contributing to achieving this organizational goal. A paradigm shift was observed in the past few decades when organizations competed as supply chains in the market more than an individual brand. This shift brought forward the importance of collaborative supply chains. Researchers in this study have presented the impact of IoT origins on real-time data on a collaborative supply chain model, including internally and externally aligned parameters. The study recommends the best model basis for the goodness of fit from the customer and vendor perspective for the automotive industry in India.

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