Food Safety Test Information System Design

2012 ◽  
Vol 241-244 ◽  
pp. 2737-2740 ◽  
Author(s):  
Kai Chen ◽  
Hong Tan ◽  
Hong Bo Yang
Keyword(s):  
Food Safety ◽  
Warning System ◽  
Information Management System ◽  
Scientific Basis ◽  
Information System Design ◽  
Knowledge Database ◽  
Test Information ◽  
Safety Test ◽  
System Requirements ◽  
Forecasting And Warning

Informatization of food safety supervision overviews in China and some other countries were studied. With the combination of food safety supervision characteristics in Guizhou and quality system requirements for national food inspection laboratory, information management system for food safety in Guizhou was proposed. A knowledge database for categorizing determination factors of food hazard was established. This system was implemented in the food safety supervision of circulation links in Guizhou for 3 years (2009-2011). It solved problems such as quality control for massive sampling inspections and data analysis. Besides improving work efficiency, it provided scientific basis for decision making of food safety supervision to government as well as data support for food safety forecasting and warning system.

Food Safety Security: A new Concept for Enhancing Food Safety Measures

2012 ◽  
Vol 82 (3) ◽  
pp. 216-222 ◽  
Author(s):  
Venkatesh Iyengar ◽  
Ibrahim Elmadfa
Keyword(s):  
Food Safety ◽  
Hazard Analysis ◽  
Warning System ◽  
Shared Responsibility ◽  
Fine Tuning ◽  
Strategic Action ◽  
Surveillance Network ◽  
Measurement Systems ◽  
Critical Control Points ◽  
The Impact

The food safety security (FSS) concept is perceived as an early warning system for minimizing food safety (FS) breaches, and it functions in conjunction with existing FS measures. Essentially, the function of FS and FSS measures can be visualized in two parts: (i) the FS preventive measures as actions taken at the stem level, and (ii) the FSS interventions as actions taken at the root level, to enhance the impact of the implemented safety steps. In practice, along with FS, FSS also draws its support from (i) legislative directives and regulatory measures for enforcing verifiable, timely, and effective compliance; (ii) measurement systems in place for sustained quality assurance; and (iii) shared responsibility to ensure cohesion among all the stakeholders namely, policy makers, regulators, food producers, processors and distributors, and consumers. However, the functional framework of FSS differs from that of FS by way of: (i) retooling the vulnerable segments of the preventive features of existing FS measures; (ii) fine-tuning response systems to efficiently preempt the FS breaches; (iii) building a long-term nutrient and toxicant surveillance network based on validated measurement systems functioning in real time; (iv) focusing on crisp, clear, and correct communication that resonates among all the stakeholders; and (v) developing inter-disciplinary human resources to meet ever-increasing FS challenges. Important determinants of FSS include: (i) strengthening international dialogue for refining regulatory reforms and addressing emerging risks; (ii) developing innovative and strategic action points for intervention {in addition to Hazard Analysis and Critical Control Points (HACCP) procedures]; and (iii) introducing additional science-based tools such as metrology-based measurement systems.

scholarly journals Flood Forecasting and Warning System Structures: Procedure and Application to a Small Urban Stream in South Korea

Water ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1571 ◽  
Author(s):  
Song ◽  
Park ◽  
Lee ◽  
Park ◽  
Song
Keyword(s):  
Decision Making ◽  
Water Level ◽  
Real Time ◽  
Lead Time ◽  
Flash Flood ◽  
Warning System ◽  
Flood Forecasting ◽  
Urban Stream ◽  
Forecasting And Warning ◽  
Flood Warnings

The runoff from heavy rainfall reaches urban streams quickly, causing them to rise rapidly. It is therefore of great importance to provide sufficient lead time for evacuation planning and decision making. An efficient flood forecasting and warning method is crucial for ensuring adequate lead time. With this objective, this paper proposes an analysis method for a flood forecasting and warning system, and establishes the criteria for issuing urban-stream flash flood warnings based on the amount of rainfall to allow sufficient lead time. The proposed methodology is a nonstructural approach to flood prediction and risk reduction. It considers water level fluctuations during a rainfall event and estimates the upstream (alert point) and downstream (confluence) water levels for water level analysis based on the rainfall intensity and duration. We also investigate the rainfall/runoff and flow rate/water level relationships using the Hydrologic Engineering Center’s Hydrologic Modeling System (HEC-HMS) and the HEC’s River Analysis System (HEC-RAS) models, respectively, and estimate the rainfall threshold for issuing flash flood warnings depending on the backwater state based on actual watershed conditions. We present a methodology for issuing flash flood warnings at a critical point by considering the effects of fluctuations in various backwater conditions in real time, which will provide practical support for decision making by disaster protection workers. The results are compared with real-time water level observations of the Dorim Stream. Finally, we verify the validity of the flash flood warning criteria by comparing the predicted values with the observed values and performing validity analysis.

Requirements Management for ERP Projects

2010 ◽  
pp. 29-45
Keyword(s):  
Requirements Engineering ◽  
Business Processes ◽  
Engineering Method ◽  
Maturity Model ◽  
Erp System ◽  
Knowledge Database ◽  
System Requirements ◽  
Key Process Area ◽  
Key Indicators ◽  
Transactional Data

ERP software standardizes an enterprise’s business processes and data. The software converts transactional data into useful information and collates the data so that they can be analyzed. Requirements engineering is an important component of ERP projects. In this paper, we propose: (1) An ERP maturity model (EMM) for assessing the ERP maturity within the organization and (2) A Requirements Engineering Method (REM) for ERP system requirements to capture the requirements from the different types of users of an ERP system, verifying and validating them. The EMM consists of three levels and each level has a focus and a key process area. Key indicators of ERP functionality identified by a major ERP vendor have been used to apply the EMM to an enterprise. This identifies the level of the EMM to which an enterprise belongs. Then the REM is used to enable the enterprise to assess its ERP system requirements and refine it using a knowledge database to reach a higher level in the EMM than the present one. The authors deem that this model can benefit users across all the ERP projects.

scholarly journals Food Safety Procedures and Food Law Principles in European Union

2010 ◽  
Vol 67 (2) ◽  
Author(s):  
Ana Laura NEACSU ◽  
Maria TOFANA
Keyword(s):  
Food Safety ◽  
Animal Feed ◽  
Animal Health ◽  
Professional Associations ◽  
White Paper ◽  
Scientific Basis ◽  
Legal Responsibility ◽  
Main Task ◽  
Similar System ◽  
Production Chain

With a view to adopting a comprehensive, integrated "farm to table" approach, legislation must cover all aspects of the food production chain: primary production, processing, transport, distribution through to the sale or supply of food and feed. At all stages of this chain, the legal responsibility for ensuring the safety of foodstuffs rests with the operator and a similar system should apply to feed business operators. The White Paper on Food Safety emphasizes the need for a policy underpinned by a sound scientific basis and up-to-date legislation. The EU legislation is designed to restore consumer confidence in the wake of recent food-related crises, with all the interested parties having a part to play: the general public, non-governmental organizations, professional associations, trading partners and international trade organizations. The European Food Safety Authority (EFSA) enhances the current scientific and technical support system and its main task is to provide assistance and independent scientific advice, and to create a network geared to close cooperation with similar bodies in the Member States. The recent food crises have shown that it is necessary to improve the procedures relating to food safety. For this reason, the scope of the rapid alert system was extended to cover animal feed and to identify measures to be taken in emergencies and for crisis management. A Standing Committee on the Food Chain and Animal Health is also being set up to replace the existing committees

Analysis and prediction of eutrophication for advanced warning of the water quality concerns in Gaoyou Lake

2019 ◽  
Vol 20 (1) ◽  
pp. 186-196
Author(s):  
Lei Zhang ◽  
Yu Cheng ◽  
Yulong Niu ◽  
Jiahu Jiang
Keyword(s):  
Water Quality ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Principal Component ◽  
Scientific Basis ◽  
Contribution Rate ◽  
Increasing Trend ◽  
Trophic Level Index

Abstract This paper used the trophic level index (TLI) method combined with the relevant data from 2014 to 2017 to evaluate the water quality of Gaoyou Lake. Meanwhile, based on principal component analysis (PCA) and multiple linear regression (MLR) models on chlorophyll a (Chla), this research developed predictions and an early warning scheme for eutrophication in Gaoyou Lake. The results showed the following: 1. The TLI of Gaoyou Lake showed a significant increasing trend, and the lake was in the state of light to moderate eutrophy. 2. According to the PCA eigenvalues that were greater than 1, principal components (PCs) with a cumulative contribution rate of 76.04% were obtained, and a linear model was further obtained: CChla = 6.146 + 1.209 (Score 1) + 0.583 (Score 2) + 1.095 (Score 3). 3. The credibility of the early warning system reached 75%, which met the requirements of this study. This study provides a scientific basis for the control of eutrophication and improvement of water quality.

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