Utilization of Internet of Things on Food Supply Chains in Food Industry

2021 ◽  
Vol 2 (1) ◽  
pp. 103-112
Author(s):  
Hanhan Maulana ◽  
◽  
Selvia Lorena Br Ginting ◽  
Pramanda Aryan ◽  
Muhamad Restu Fadillah ◽  
...  
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Internet Of Things ◽  
Food Supply ◽  
Food Industry ◽  
The Internet ◽  
Food Supply Chain ◽  
Chain Management ◽  
Food Supply Chains ◽  
The Internet Of Things

This study aims to analyze the use of the Internet of Things (IoT) in supporting the management of food supply chains (FSCs) in the food industry. This research used qualitative research methods. The results obtained from this study are increasing the effectiveness and efficiency of the existing food supply chain in the food industry by applying the IoT concept to food supply chain management. These results can be obtained because the IoT concept is supported by various systems and technologies that can be implemented and developed so that IoT can help identify and deal with existing problems more quickly while being able to assist in the decision-making process with information obtained through IoT technology so that it will support development food supply chain management in the food industry. This study was conducted to see how much influence the internet of things (IoT) has on food supply chain management in the food industry.

scholarly journals An Efficient Bayes Classifiers Algorithm for Traceability of Food Supply Chain Management using Internet of Things

2019 ◽  
Vol 9 (1) ◽  
pp. 2995-3005
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Food Safety ◽  
Internet Of Things ◽  
Food Supply ◽  
Food Industry ◽  
Insufficient Information ◽  
Food Supply Chain ◽  
Chain Management

The conventional Food Supply Chain Management (FSCM) faces a variety of provocation such as ambiguity, security, cost, complication and quality concerns. To resolve these issues, supply chain must be precise. A challenging assignment in today’s food industry is distributing the high quality of foods throughout the supply chain management. In this paper, proposes an efficient Bayes Classifiers Algorithm which integrated with FSCM using Internet of Things (IoT) to allow tracking, tracing and managing the entire process of food supply chain such as supplier, exporter and customers. The objective of this paper is to determine the food safety and to optimize chronological data produced to analyze the effective possibility of future assump- tions. It also aims to foods carrying from the manufacturers to the customers with help of IoT technologies to bond the producer to the customer with delivery of high class of food products. IoT based Food Supply Chain Traceability is utilized t o data transaction effectively with indeterminate, uncertain and insufficient information. So the proposed efficient Bayes Classifiers Algorithm will be capable to overcome all provocation of conventional supply chain and afford secure background and food safety for FSCM process using IoT technology.

Blockchain Technology for the Internet of Things Applications in Apparel Supply Chain Management

2021 ◽  
pp. 152-185
Author(s):  
Kamalendu Pal
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Business Processes ◽  
The Internet ◽  
Chain Management ◽  
Blockchain Technology ◽  
Technology Applications ◽  
The Internet Of Things

Adoption of the internet of things (IoT) and blockchain technology opens new opportunities of business process automation in apparel supply chain management. The IoT technology helps to capture real-time information from different aspects of garment manufacturing activities by using radio frequency identification (RFID) tags and sensors. Blockchain technology is an emerging concept of computing that enable the decentralized and immutable storage of business transactions. In combination with IoT, blockchain technology can enable a broad range of application scenarios to enhance business value and trust. This chapter presents some of the blockchain-based IoT technology applications in apparel business processes. Moreover, the chapter provides a classification of threat models, which are considered by blockchain protocols in IoT networks. Finally, the chapter provides a taxonomy and a side-by-side comparison of the state-of-the-art methods towards secure and privacy-preserving blockchain technologies concerning the blockchain model, specific security goals, performance, and limitations.

The Internet of Things in Supply Chain Management

Logistics 4.0 ◽  
2020 ◽  
pp. 27-34
Author(s):  
Volkan Ünal ◽  
Mine Ömürgönülșen ◽  
Sedat Belbağ ◽  
Mehmet Soyasal
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Internet Of Things ◽  
The Internet ◽  
Chain Management ◽  
The Internet Of Things

scholarly journals A Blockchain-Based Trust Model for the Internet of Things Supply Chain Management

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1759
Author(s):  
Mabrook S. Al-Rakhami ◽  
Majed Al-Mashari
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Internet Of Things ◽  
Supply Chains ◽  
Trust Model ◽  
The Internet ◽  
Mutual Trust ◽  
Chain Management ◽  
Blockchain Technology ◽  
The Internet Of Things

Accurate data and strategic business processes are crucial to all parties in a supply chain system. However, the absence of mutual trust can create a barrier to implementation. Several studies have shown that supply chains face challenges arising from a lack of trust with respect to the sharing of data. How well each party trusts the data they receive can have a profound influence on management decisions. Blockchain technology has been widely used to process cryptocurrency transactions. Recently, it has also proved to be effective in creating trust in the Internet of things (IoT) domain. Blockchain technology can facilitate mutual trust between parties who would otherwise have been doubtful of each other’s data, allowing for more effective and secure sharing of data. However, if the blockchain is not IoT-optimized, companies can experience significant delays and the need for extensive computational capacity. Moreover, there are still some limitations regarding the consensus between the nodes in the traditional consensus approaches. Here, we propose an alternative approach to creating trust in supply chains with diverse IoT elements. Our streamlined trust model simplifies data sharing and reduces computational, storage, and latency requirements while increasing the security of the IoT-based supply chain management. We evaluate the suggested model using simulations and highlight its viability.

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