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Hazard analysis critical control points, or HACCP (/ ˈ h æ s ʌ p / [1]), is a systematic preventive approach to food safety from biological, chemical, and physical hazards in production processes that can cause the finished product to be unsafe and designs measures to reduce these risks to a safe level.
Critical Control Point (CCP) is the point where the failure of Standard Operation Procedure (SOP) could cause harm to customers and to the business, or even loss of the business itself. It is a point, step or procedure at which controls can be applied and a food safety hazard can be prevented, eliminated or reduced to acceptable (critical) levels.
Hazard analysis and risk-based preventive controls or HARPC is a successor to the Hazard analysis and critical control points (HACCP) food safety system, mandated in the United States by the FDA Food Safety Modernization Act (FSMA) of 2010.
Water activity is used in many cases as a critical control point for Hazard Analysis and Critical Control Points (HACCP) programs. Samples of the food product are periodically taken from the production area and tested to ensure water activity values are within a specified range for food quality and safety.
Failure mode effects and criticality analysis (FMECA) is an extension of failure mode and effects analysis (FMEA).. FMEA is a bottom-up, inductive analytical method which may be performed at either the functional or piece-part level.
The danger zone is the temperature range in which food-borne bacteria can grow. Food safety agencies, such as the United States' Food Safety and Inspection Service (FSIS), define the danger zone as roughly 40 to 140 °F (4 to 60 °C).
Control charts are graphical plots used in production control to determine whether quality and manufacturing processes are being controlled under stable conditions. (ISO 7870-1) [1] The hourly status is arranged on the graph, and the occurrence of abnormalities is judged based on the presence of data that differs from the conventional trend or deviates from the control limit line.
Nelson rules are a method in process control of determining whether some measured variable is out of control (unpredictable versus consistent). Rules for detecting "out-of-control" or non-random conditions were first postulated by Walter A. Shewhart [1] in the 1920s.