An intelligent model for assuring food quality in managing a multi-temperature food distribution centre

Tsang, Yung Po; Choy, King Lun Tommy; Wu, Chun-Ho; Ho, G.T.S.; Lam, H. Y.; Tang, Valerie

doi:10.1016/j.foodcont.2018.02.030

Cited by 94 publications

(85 citation statements)

References 31 publications

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“…Figure 2 displays the most representative IoT platforms as well as their market distribution [55]. Dealing with these IoT platforms, it is worth highlighting a research work that developed an IoT-based route planning system [56] was based on the IBM platform [57], and the one that was developed a platform to virtualize food supply chain was based on FIspace [58], a cloud-based platform for business collaboration [59].…”

Section: Related Work and Technical Backgroundmentioning

confidence: 99%

“…The cost of wiring each sensor to the board is higher than providing a greater number of nodes next to each display case. In this sense, Tsang et al [56] propose a system based on a Wi-Fi local network and a gateway (3G/4G/LTE) where nodes are powered by batteries. In the case presented, this option has been rejected due to the high energy consumption associated with Wi-Fi communication and performed by means of wiring, confirming the aforementioned.…”

Section: System Evaluationmentioning

confidence: 99%

See 1 more Smart Citation

Monitoring of Temperature in Retail Refrigerated Cabinets Applying IoT Over Open-Source Hardware and Software

Ramírez-Faz

Fernández-Ahumada

et al. 2020

Sensors

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The control of refrigeration in the food chain is fundamental at all stages, with special emphasis on the retail stage. The implementation of information and communication technologies (IoT, open-source hardware and software, cloud computing, etc.) is representing a revolution in the operational paradigm of food control. This paper presents a low-cost IoT solution, based on free hardware and software, for monitoring the temperature in refrigerated retail cabinets. Specifically, the use of the ESP-8266-Wi-Fi microcontroller with DS18B20 temperature sensors is proposed. The ThingSpeak IoT platform is used to store and process data in the cloud. The solution presented is robust, affordable, and flexible, allowing to extend the scope of supervising other relevant parameters in the operating process (light control, energy efficiency, consumer presence, etc.).

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Section: Related Work and Technical Backgroundmentioning

confidence: 99%

Section: System Evaluationmentioning

confidence: 99%

Monitoring of Temperature in Retail Refrigerated Cabinets Applying IoT Over Open-Source Hardware and Software

Ramírez-Faz

Fernández-Ahumada

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…Harnessing IoT Data and Knowledge in Smart Manufacturing DOI: http://dx.doi.org /10.5772/intechopen.86293 logistics [24][25][26][27]. The above applications show that IoT technologies have sufficient capability in monitoring the conditions of an indoor environment.…”

Section: Related Workmentioning

confidence: 99%

Harnessing IoT Data and Knowledge in Smart Manufacturing

Yuen¹,

Choy

Tsang

et al. 2020

Harnessing Knowledge, Innovation and Competence in Engineering of Mission Critical Systems

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In the modern digitalized era, the use of electronic devices is a necessity in daily life, with most end users requiring high product quality of these devices. During the electronics manufacturing process, environmental control, for monitoring ambient temperature and relative humidity, is one of the critical elements affecting product quality. However, the manufacturing process is complicated and involves numerous sections, such as processing workshops and storage facilities. Each section has its own specific requirements for environmental conditions, which are checked regularly and manually, such that the whole environmental control process becomes time-consuming and inefficient. In addition, the reporting mechanism when conditions are out of specification is done manually at regular intervals, resulting in a certain likelihood of serious quality deviation. There is a substantial need for improving knowledge management under smart manufacturing for full integration of Internet of Things (IoT) data and manufacturing knowledge. In this chapter, an Internet-of-Things Quality Prediction System (IQPS), which is a mission critical system in electronics manufacturing, is proposed in adopting the advanced IoT technologies to develop a real-time environmental monitoring scheme in electronics manufacturing. By deploying IQPS, the total intelligent environmental monitoring is achieved, while product quality is predicted in a systematic manner.

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“…Many scholars proposed principles or theories such as "3T principle" for frozen products [8], "3P theory" and "3C principle" for cooling process [9], "3M principle" and "3Q principle" for cold chain logistics management [10], which lay the foundation for the research of cold chain logistics [11]. Research on the distribution of fresh agricultural products mainly focuses on vehicle routing problem [12][13][14][15][16], location selection of logistics center [17][18][19][20], factor analysis and performance evaluation [21][22][23][24]. Only a few studies on the reliability of the cold chain logistics system.…”

Section: Introductionmentioning

confidence: 99%

Reliability Analysis and Optimization of Cold Chain Distribution System for Fresh Agricultural Products

2019

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In recent years, with the Chinese government’s emphasis on the development of the cold chain logistics market for fresh agricultural products, the rapid development of agricultural cold chain logistics has been promoted in many aspects. However, in the circulation of fresh agricultural products, there is still a serious problem of “broken chain” leading to a high corrosion rate. Therefore, this research has analyzed the uncertain factors affecting the cold chain distribution system based on fault tree model, and then transform it into Bayesian network to evaluate the reliability of the cold chain distribution system for fresh agricultural product, and identify the key factors affecting the reliability of the cold chain distribution system through calculated probability importance of each node. Then we have constructed nonlinear equations with the limit of the cost, based on reliability allocation method to improve the system reliability. Numerical examples are given to validate the proposed models. The optimization result shows that higher reliability value assigned to the factors with high probability importance is more conducive to the improvement of system reliability.

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An intelligent model for assuring food quality in managing a multi-temperature food distribution centre

Cited by 94 publications

References 31 publications

Monitoring of Temperature in Retail Refrigerated Cabinets Applying IoT Over Open-Source Hardware and Software

Monitoring of Temperature in Retail Refrigerated Cabinets Applying IoT Over Open-Source Hardware and Software

Harnessing IoT Data and Knowledge in Smart Manufacturing

Reliability Analysis and Optimization of Cold Chain Distribution System for Fresh Agricultural Products

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