Virtualization of food supply chains with the internet of things

Verdouw, C.N.; Wolfert, J.; Beulens, A.J.M.; Rialland, Agathe

doi:10.1016/j.jfoodeng.2015.11.009

Cited by 375 publications

(219 citation statements)

References 33 publications

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“…However, information gathering is not enough to utilize the potential of the technology. Virtualization enables supply chain actors to monitor, control, plan, and optimize the business processes remotely and in real-time through the Internet, based on virtual objects instead of on-site observation (Verdouw, Wolfert, Beulens & Rialland, 2015).…”

Section: Managing Supply Chain Resilience By Using Industry 40 Conceptmentioning

confidence: 99%

Managing Capabilities for Supply Chain Resilience Through it Integration

Gružauskas

Vilkas

2017

Economics and Business

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Abstract. The trend for e-commerce, estimated population size to 11 billion by 2050, and an increase in urbanization level to 70 % is requiring to re-think the current supply chain. These trends changed the distribution process: delivery distances are decreasing, the product variety is increasing, and more products are being sold in smaller quantities. Therefore, the concept of supply chain resilience has gained more recognition in recent years. The scientific literature analysis conducted by the authors indicate several capabilities that influence supply chain resilience. Collaboration, flexibility, redundancy and integration are the most influential capabilities to supply chain resilience. However, the authors identify that the combination of these capabilities to supply chain resilience is under researched. The authors indicate that by combining these capabilities with the upcoming technologies of industry 4.0, supply chain resilience can be achieved. In the future, the authors are planning to conduct further research to identify the influence of these capabilities to supply chain resilience, to quantify supply chain resilience, and to provide further practices of industry 4.0 concept usage for supply chain resilience.

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Section: Managing Supply Chain Resilience By Using Industry 40 Conceptmentioning

confidence: 99%

Managing Capabilities for Supply Chain Resilience Through it Integration

Gružauskas

Vilkas

2017

Economics and Business

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“…by scanning the QR-label. In particular, the methodology has been presented in [23] and applied on a fish supply chain, but, in this example, the consumer is not considered. Walmart in conjunction with IBM and Tsinghua University announced a collaboration to improve the way food is tracked, transported and sold to consumers across China [24].…”

Section: Rfid For Food Traceabilitymentioning

confidence: 99%

“…(3) RFID based tracing methodologies and QRcode: Label and QRcode or RFID using the reader of the store give information to the user. No direct tracing information is given [22,23,27,[33][34][35]. In the case of [41,42], the QRcode is used by the consumer and no tracing is performed.…”

Section: Proposed Nfc-based Food Traceabilitymentioning

confidence: 99%

NFC-Based Traceability in the Food Chain

Pigini

Conti

2017

Sustainability

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Abstract:In recent years, many events related to food and public health, such as bovine spongiform encephalopathy (BSE, commonly known as mad cow disease), dioxin, bird flu and swine flu, brought the issue of food security to the center of international attention. Many countries established strict rules to ensure the food traceability "from farm to fork" to meet the demand of consumer safety and to ensure public health. Consequently, the concepts of controlled supply chain, brand of quality and traceability of food products have had a strong evolution. Companies in the food production sector must evolve and change their organizational and management chain to satisfy increasingly stringent government rules and to respond to the requirements of the market. From this point of view, NFC (Near Field Communication) has all the requirements to become the main technology for traceability in the various food sectors. This paper proposes a solution to gather information throughout the entire food supply chain and bring it directly to the consumer. The architecture consists of a complex identification system based on NFC tags, which cumulates data during all phases of the production process. The aim of this work is to keep track of the information generated during food processing, not only for traceability purposes, but also for enhancing and optimizing production. The data generated by the traceability system are collected in a cloud database through apps on Android smartphones. The information is accessible by the consumers through a public Android application. The pork supply chain has been used as an application example of the proposed methodology.

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Section: Monitoring System In Food Supply Chainmentioning

confidence: 99%

“…Previous studies utilized virtualization, which allows for simulation of food process using software instead of by conducting physical experiments [26,27]. Verdow et al (2016) proposed the concept of virtual food supply chains from an Internet of Things perspective [26]. The virtualization model was tested on a case study of a fish supply chain and showed that the proposed model enables supply chain actors to monitor, control, and plan, as well as optimize, business processes remotely in real-time.…”

Section: Monitoring System In Food Supply Chainmentioning

confidence: 99%

Real-Time Monitoring System Using Smartphone-Based Sensors and NoSQL Database for Perishable Supply Chain

2017

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Abstract:Since customer attention is increasing due to growing customer health awareness, it is important for the perishable food supply chain to monitor food quality and safety. This study proposes a real-time monitoring system that utilizes smartphone-based sensors and a big data platform. Firstly, we develop a smartphone-based sensor to gather temperature, humidity, GPS, and image data. The IoT-generated sensor on the smartphone has characteristics such as a large amount of storage, an unstructured format, and continuous data generation. Thus, in this study, we propose an effective big data platform design to handle IoT-generated sensor data. Furthermore, the abnormal sensor data generated by failed sensors is called outliers and may arise in real cases. The proposed system utilizes outlier detection based on statistical and clustering approaches to filter out the outlier data. The proposed system was evaluated for system and gateway performance and tested on the kimchi supply chain in Korea. The results showed that the proposed system is capable of processing a massive input/output of sensor data efficiently when the number of sensors and clients increases. The current commercial smartphones are sufficiently capable of combining their normal operations with simultaneous performance as gateways for transmitting sensor data to the server. In addition, the outlier detection based on the 3-sigma and DBSCAN were used to successfully detect/classify outlier data as separate from normal sensor data. This study is expected to help those who are responsible for developing the real-time monitoring system and implementing critical strategies related to the perishable supply chain.

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Virtualization of food supply chains with the internet of things

Cited by 375 publications

References 33 publications

Managing Capabilities for Supply Chain Resilience Through it Integration

Managing Capabilities for Supply Chain Resilience Through it Integration

NFC-Based Traceability in the Food Chain

Real-Time Monitoring System Using Smartphone-Based Sensors and NoSQL Database for Perishable Supply Chain

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