Improving food safety through data pattern discovery in a sensor-based monitoring system

H Jacobsen, KH Tan - Production Planning & Control, 2022 - Taylor & Francis
Increased digitalization has enabled firms to better monitor and improve operations to meet
the increasing demands of food safety. Sensor-based monitoring systems are widely …

Food safety pre-warning system based on data mining for a sustainable food supply chain

J Wang, H Yue - Food Control, 2017 - Elsevier
In recent years, the food safety incidents happened frequently in china, and then the
problems related to food quality and safety have attracted more and more social attention …

Risk identification-based association rule mining for supply chain big data

A Salamai, M Saberi, O Hussain, E Chang - Security, Privacy, and …, 2018 - Springer
Since most supply chain processes include operational risks, the effectiveness of a
corporation's success depends mainly on identifying, analyzing and managing them …

[PDF][PDF] Monitoring food safety by detecting patterns in consumer complaints

A Dubrawski, K Elenberg, A Moore… - Proceedings of the …, 2006 - cdn.aaai.org
Abstract EPFC (Emerging Patterns in Food Complaints) is the analytical component of the
Consumer Complaint Monitoring System, designed to help the food safety officials to …

[HTML][HTML] Statistics and analyses of food safety inspection data and mining early warning information based on chemical hazards

W Liu, A Guo, X Bao, Q Li, L Liu, X Zhang, X Chen - Lwt, 2022 - Elsevier
Food safety issues have grown in recent years, attracting great research attention. In
addition to increasing supervision, regulatory authorities and related companies are …

Concept paper: Innovative approaches to food quality control: AI and machine learning for predictive analysis

T Abass, EO Itua, T Bature, MA Eruaga - World Journal of Advanced …, 2024 - wjarr.com
The concept paper explores the potential of artificial intelligence (AI) and machine learning
(ML) in revolutionizing food quality control processes. In response to the growing challenges …

Intelligent sensors for sustainable food and drink manufacturing

NJ Watson, AL Bowler, A Rady, OJ Fisher… - … in Sustainable Food …, 2021 - frontiersin.org
Food and drink is the largest manufacturing sector worldwide and has significant
environmental impact in terms of resource use, emissions, and waste. However, food and …

Data mining to improve industrial standards and enhance production and marketing: An empirical study in apparel industry

CH Hsu - Expert Systems with Applications, 2009 - Elsevier
Apparel production is a high value-added industry in the global textile manufacturing chain.
Standard size charts are crucial industrial standards for high-tech apparel industries to …

Clustering based approach to enhance association rule mining

S Kanhere, A Sahni, P Stynes… - 2021 28th Conference of …, 2021 - ieeexplore.ieee.org
Association rule mining algorithms such as Apriori and FPGrowth are extensively being
used in the retail industry to uncover consumer buying patterns. However, the scalability of …

Applying association rules in the maintenance and reliability of physical systems: A review

RGN Paiva, CAV Cavalcante, P Do - Computers & Industrial Engineering, 2024 - Elsevier
This article begins by exploring the fundamental role of descriptive data mining in enhancing
maintenance and reliability across various physical systems. It then provides an in-depth …