Mining logistics data to assure the quality in a sustainable food supply chain: A case in the red wine industry

Ting, S. L.; Tse, Yiu Kuen; Ho, G.T.S.; Chung, Sai Ho; Pang, Gu

doi:10.1016/j.ijpe.2013.12.010

Cited by 118 publications

(62 citation statements)

References 36 publications

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“…Wang et al proposed an online rule-based decision support system for the transportation of perishable food products [28]. Ting et al proposed a supply chain quality sustainability decision support system (QSDSS), to select a good logistical plan in order to maintain quality and safety in the food chains [29]. However, most of these studies focused on the issue of food quality, and the food safety issue of counterfeit food products is rarely addressed in the literature.…”

Section: Literature Reviewmentioning

confidence: 99%

ePedigree Traceability System for the Agricultural Food Supply Chain to Ensure Consumer Health

Farooq

Alfian

et al. 2016

Sustainability

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Sustainability relies on the environmental, social and economical systems: the three pillars of sustainability. The social sustainability mostly advocates the people's welfare, health, safety, and quality of life. In the agricultural food industry, the aspects of social sustainability, such as consumer health and safety have gained substantial attention due to the frequent cases of food-borne diseases. The food-borne diseases due to the food degradation, chemical contamination and adulteration of food products pose a serious threat to the consumer's health, safety, and quality of life. To ensure the consumer's health and safety, it is essential to develop an efficient system which can address these critical social issues in the food distribution networks. This research proposes an ePedigree (electronic pedigree) traceability system based on the integration of RFID and sensor technology for real-time monitoring of the agricultural food to prevent the distribution of hazardous and adulterated food products. The different aspects regarding implementation of the proposed system in food chains are analyzed and a feasible integrated solution is proposed. The performance of the proposed system is evaluated and finally, a comprehensive analysis of the proposed ePedigree system's impact on the social sustainability in terms of consumer health and safety is presented.

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Section: Literature Reviewmentioning

confidence: 99%

ePedigree Traceability System for the Agricultural Food Supply Chain to Ensure Consumer Health

Farooq

Alfian

et al. 2016

Sustainability

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“…Z h o n g et al [6] proposed a holistic Big Data approach to excavate frequent trajectory from massive RFID-enabled shop floor logistics data, which are able to guide end-users to carry out associated decisions. T i n g et al [7] proposed a supply chain Quality Sustainability Decision Support System (QSDSS), adopting association rule mining and Dempster's rule of combination techniques. The aim of QSDSS is to support Brought to you by | MIT Libraries Authenticated Download Date | 5/9/18 10:56 PM managers in food manufacturing firms to define good logistics plans in order to maintain the quality and safety of food products.…”

Section: Literature Reviewmentioning

confidence: 99%

Transportation Service Quality Improvement through Closed Sequential Pattern Mining Approach

Huang

Yao

Tsai

2016

Cybernetics and Information Technologies

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“…This method is also common in the literature and these data are obtained during online sensor measurements or from historical logs. Alternatively, process simulations and simulated data sets also existed and these were used to test the performance of the algorithms used [4,22,23].…”

Section: Quality Data Preparationmentioning

confidence: 99%

“…On the other hand, data transformation could be a part of data pre-processing step, In addition, data compression techniques such as Principal Component Analysis (PCA) to obtain manageable sizes of data have been also commonly utilized for data reduction [4,22,23]. PCA, used for dimension reduction, is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components.…”

Section: Quality Data Pre-processingmentioning

confidence: 99%

See 1 more Smart Citation

Review of data mining applications for quality assessment in manufacturing industry: support vector machines

Rostami

Dantan

Homri

2015

Int. J. Metrol. Qual. Eng.

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is an open access repository that collects the work of Arts et Métiers ParisTech researchers and makes it freely available over the web where possible. AbstractIn many modern manufacturing industries, data that characterize the manufacturing process are electronically collected and stored in the databases.Due to advances in data collection systems and analysis tools, data mining (DM)has widely been applied for quality assessment (QA) in manufacturing industries.In DM, the choice of technique to use in analyzing a dataset and assessing the quality depend on the understanding of the analyst. On the other hand, with the advent of improved and efficient prediction techniques, there is a need for an analyst to know which tool performs best for a particular type of data set.Although a few review papers have recently been published to discuss DM applications in manufacturing for QA, this paper provides an extensive review to investigate the application of a special DM technique, namely support vector machine (SVM) to solve QA problems. The review provides a comprehensive analysis of the literature from various points of view as DM preliminaries, data preprocessing, DM applications for each quality task, SVM preliminaries, and application results. Summary tables and figures are also provided besides to the analyses. Finally, conclusions and future research directions are provided.

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Mining logistics data to assure the quality in a sustainable food supply chain: A case in the red wine industry

Cited by 118 publications

References 36 publications

ePedigree Traceability System for the Agricultural Food Supply Chain to Ensure Consumer Health

ePedigree Traceability System for the Agricultural Food Supply Chain to Ensure Consumer Health

Transportation Service Quality Improvement through Closed Sequential Pattern Mining Approach

Review of data mining applications for quality assessment in manufacturing industry: support vector machines

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