Developing an Intelligent Traceability System for Aquatic Products in Cold Chain Logistics Integrated WSN with SPC

Xiao, Xinqing; Fu, Zetian; Zhang, Yongjun; Peng, Zhaohui; Zhang, Xiaoshuan

doi:10.1111/jfpp.12730

Cited by 15 publications

(5 citation statements)

References 23 publications

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“…Based on a transient CFD model, adaptive on–off cooling strategies have been determined for energy savings during the long‐term storage of apples under different temperature classifications (0.4, 0.5, and 0.7°C around a set point) (Gruyters et al., 2018). The combination of statistical process control and WSNs can be used to control the cold chain temperature at an acceptable and stable level in order to grasp the traceability and FQS of FCCL more effectively (Xiao, Fu, et al., 2016). Moreover, optimal target temperature control and management has been proposed for multicommodity cold storage (Aung & Chang, 2014).…”

Section: Micro: Environmental Monitoring For Fcclmentioning

confidence: 99%

Sustainable food cold chain logistics: From microenvironmental monitoring to global impact

Chen

Qian

Yang

et al. 2022

Comp Rev Food Sci Food Safe

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Food cold chain logistics (FCCL) is a systematic engineering process involving the use of a low-temperature environment to maintain the quality and safety of perishable food and reduce food loss and waste (FLW). From a mechanism perspective, FCCL must balance resource costs for a required level of food quality and safety with the costs of greenhouse gas (GHG) emissions. In the context of global warming, the sustainability trade-off between FLW and environmental impact has recently become an important topic in research on efficient, green FCCL. This is mainly reflected in technological innovation, management optimization, and policy responses. With a focus on three levels (micro, meso, macro), this review analyzes current research areas and the gaps and challenges of FCCL in microenvironmental monitoring, life cycle assessment (LCA), and global impact. Future trends pertaining to FCCL in technology, management, and industry and sustainable development are also summarized. Future trends involving sustainable FCCL must be intelligent, systematic, and low carbon.Industry empowerment through next-generation information technologies (e.g., IoT, AI, big data, blockchain) will promote the multidimensional perception, real-time information transmission, and sustainable control of microenvironmental monitoring, as well as support LCA management transformation from fragmentation to system integration. From a macro level, due to the serious global loss of perishable food, the FCCL scale demand is growing greatly, causing a huge environmental burden. Global cooperation, low-carbon consensus, and appropriate policies will become the basis for promoting sustainable FCCL development.

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Section: Micro: Environmental Monitoring For Fcclmentioning

confidence: 99%

Sustainable food cold chain logistics: From microenvironmental monitoring to global impact

Chen

Qian

Yang

et al. 2022

Comp Rev Food Sci Food Safe

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“…Heap (2006) points out that the lack of control of microbiological reactions can lead to cumulative and irreversible losses in product quality. Thus, Xiao et al (2016) state that the monitoring of time-temperature conditions and effective temperature management are important aspects of cold chain product distribution management. Pereira et al (2010) present parameters inherent to the process that cause thermal variation: opening of doors, gain of thermal gradient of the external environment, non-uniformity of temperature inside the vehicle, and number of stops, in addition to the distance between production and consumption.…”

Section: Physical Distribution Of Cold Supply Chain Productsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Integrated thermal and routing analysis applied for cold supply chain

Bezerra

Silva

2022

Food Processing Preservation

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The increase in the world population and the usual rush of large cities lead to the consumption of more chilled and frozen foods. Among its advantages are ease and agility in preparation, preservation of sensory, physical and organoleptic properties, increased validity, and high quality of products (De Carvalho, 2013). This type of supply chain, known as the cold chain, is defined by Sun et al. (2017) as a system engineering which, based on freezing technology and artificial refrigeration technology, guarantees the freshness of products during the periods of production, storage, transportation, sale, and consumption in the prescriptive low-temperature environment. Any disruption in this chain can cause loss of product quality (Arannilewa et al., 2016), speeding up the rate of biochemical and microbiological changes in the product degrades its quality and integrity. This fact is directly related to temperature, so it is of considerable importance to maintain an adequate control during all processes involved (Chaudhuri et al., 2018).The Cool Chain Association (CCA) estimates that 30% of temperature sensitive products are lost during this process (Hoffman, 2006). Thereby, Al Theeb et al. (2020) say that cold supply chain (CSC) received more care in recent research, because of the high cost associated with cooling when compared to regular transportation cost, and the rapid increase for the demand of fresh, refrigerated, and frozen food. Thereby, a variety of ways of improving the productivity of cold supply chains are available, but White III and Cheong (2012) mention two ways: improve the likelihood that a perishable is kept at a temperature within its temperature range during transport and storage and, also, base the real-time control of the cold supply chain on real-time data resulting from monitoring the state of the product during transport and storage.Thus, the management of food distribution is also becoming increasingly important to meet the requirements with regard to high

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“…The solution provided instant visibility into manufacturing processes and aided in the decision-making process. However, according to Xiao et al (2015) and Xiao et al (2016), intelligent traceability could use statistical control, fault-tree analysis and WSN. In addition, this one used three layers (user interface, functional and database).…”

Section: Introductionmentioning

confidence: 99%

Conceptual framework for general traceability solution: description and bases

Bougdira

Ahaitouf

Akharraz

2019

JM2

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Purpose The purpose of this paper is to describe a proposed framework for traceability purpose. Hence, the framework provides a formal and structured way of viewing a traceability solution. This structure lays the required bases for a traceability system before starting development and deployment. Design/methodology/approach The paper examines several traceability publications, including systems and literature review. The study covers the traceability implementation phase. Therefore, this research approaches the traceability issue from three perspectives (description, engineering and executive one). The separation between aspects is essential when describing and comparing traceability systems. This distinction is also helpful when recommending solution improvements. Findings The framework identifies six traceability bases: aims, functions, specifications, data classification, processes and procedures. These can establish a basis for a general purpose tool that can enable users to develop an efficient traceability solution. Thus, the first ontology expresses the framework domain and ensures optimal use of it. The second one represents the bases that can serve as a knowledge base to manage the product data. Research limitations/implications The suggested framework tackles the implementation of traceability. Therefore, the design emphasizes the importance of technological concerns. Some studied cases could require more research angles (i.e. economic and legislative). Thus, framework enrichment is essential for further improvements. Practical implications The framework helps users to develop a general, interoperable and scalable traceability solution. These are important to promote the generalization of traceability systems. Originality/value The framework fulfills a requirement for establishing general traceability foundations. Therefore, the guide independently operates of the product or the industry specificity. Moreover, the bases aim to bridge the gap between solution engineering and traceability requirements.

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Developing an Intelligent Traceability System for Aquatic Products in Cold Chain Logistics Integrated WSN with SPC

Cited by 15 publications

References 23 publications

Sustainable food cold chain logistics: From microenvironmental monitoring to global impact

Sustainable food cold chain logistics: From microenvironmental monitoring to global impact

Integrated thermal and routing analysis applied for cold supply chain

Conceptual framework for general traceability solution: description and bases

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