Standardized Sampling Plan for the Thrips Frankliniella schultzei (Thysanoptera: Thripidae) on Watermelon Crops

2017 ◽  
Vol 110 (2) ◽  
pp. 748-754 ◽  
Author(s):  
Cleovan Barbosa Pinto ◽  
Renato Almeida Sarmento ◽  
Tarcísio Visintin da Silva Galdino ◽  
Poliana Silvestre Pereira ◽  
Breno Gomes Barbosa ◽  
...  
Keyword(s):  
Sampling Plan ◽  
Frankliniella Schultzei

Economic injury level for sequential sampling plan of Frankliniella schultzei in bell pepper crops

2019 ◽  
Vol 123 ◽  
pp. 30-35 ◽  
Author(s):  
Jhersyka da S. Paes ◽  
Tamíris A. de Araújo ◽  
Rodrigo S. Ramos ◽  
João Rafael S. Soares ◽  
Vitor C.R. de Araújo ◽  
...  
Keyword(s):  
Sequential Sampling ◽  
Sampling Plan ◽  
Bell Pepper ◽  
Economic Injury Level ◽  
Frankliniella Schultzei ◽  
Sequential Sampling Plan ◽  
Economic Injury

Conventional Sampling Plan for Common Blossom Thrips, Frankliniella schultzei (Thysanoptera: Thripidae), in Bell Pepper

2019 ◽  
Vol 112 (3) ◽  
pp. 1447-1453
Author(s):  
Eliete Meire de Paula Silva ◽  
Tamíris Alves de Araújo ◽  
Rodrigo Soares Ramos ◽  
Lucas de Paulo Arcanjo ◽  
Daiane das Graças do Carmo ◽  
...  
Keyword(s):  
Sampling Plan ◽  
Bell Pepper ◽  
Frankliniella Schultzei

An Overview of 300 mm SOI Starting Wafer Quality and Its Yield Detractors

2005 ◽  
Author(s):  
Pei Y. Tsai ◽  
Junedong Lee ◽  
Paul Ronsheim ◽  
Lindsay Burns ◽  
Richard Murphy ◽  
...  
Keyword(s):  
Integrated Circuits ◽  
Device Fabrication ◽  
Sampling Plan ◽  
Silicon On Insulator ◽  
Manufacturing Processes ◽  
Circuit Performance ◽  
Characterization Techniques ◽  
Wafer Manufacturing

Abstract A stringent sampling plan is developed to monitor and improve the quality of 300mm SOI (silicon on insulator) starting wafers procured from the suppliers. The ultimate goal is to obtain the defect free wafers for device fabrication and increase yield and circuit performance of the semiconductor integrated circuits. This paper presents various characterization techniques for QC monitor and examples of the typical defects attributed to wafer manufacturing processes.

Group acceptance sampling plan for resubmitted lots based on life tests for odds exponential log logistic distribution

2017 ◽  
Vol 34 (8) ◽  
pp. 1343-1351 ◽  
Author(s):  
Rosaiah K. ◽  
Srinivasa Rao Gadde ◽  
Kalyani K. ◽  
Sivakumar D.C.U.
Keyword(s):  
Group Size ◽  
Sampling Plan ◽  
Logistic Distribution ◽  
Acceptance Sampling ◽  
Consumer’S Risk ◽  
Content Type ◽  
Acceptance Sampling Plan ◽  
Minimum Group ◽  
Termination Time ◽  
Group Acceptance

Purpose The purpose of this paper is to develop a group acceptance sampling plan (GASP) for a resubmitted lot when the lifetime of a product follows odds exponential log logistic distribution introduced by Rao and Rao (2014). The parameters of the proposed plan such as minimum group size and acceptance number are determined for a pre-specified consumer’s risk, number of testers and the test termination time. The authors compare the proposed plan with the ordinary GASP, and the results are illustrated with live data example. Design/methodology/approach The parameters of the proposed plan such as minimum group size and acceptance number are determined for a pre-specified consumer’s risk, number of testers and the test termination time. Findings The authors determined the group size and acceptance number. Research limitations/implications No specific limitations. Practical implications This methodology can be applicable in industry to study quality control. Social implications This methodology can be applicable in health study. Originality/value The parameters of the proposed plan such as minimum group size and acceptance number are determined for a pre-specified consumer’s risk, number of testers and the test termination time.

scholarly journals Statistical Approach for Risk Assessment of Aflatoxin Sampling Plan Used by Manufacturers for Raw Shelled Peanuts

2002 ◽  
Vol 85 (4) ◽  
pp. 925-932 ◽  
Author(s):  
Mark Vandeven ◽  
Thomas Whitaker ◽  
Andy Slate
Keyword(s):  
Test Methods ◽  
Sampling Plan ◽  
Raw Material ◽  
Contamination Level ◽  
Acceptance Probability ◽  
Preparation Methods ◽  
Crop Varieties ◽  
Analytical Test ◽  
Acceptance Sampling Plans ◽  
Methods Analytical

Abstract Processed food manufacturers often use acceptance sampling plans to screen out lots with unacceptable levels of contamination from incoming raw material streams. Sampling plan designs are determined by specifying sample sizes, sample preparation methods, analytical test methods, and accept/reject criteria. Sampling plan performance can be indicated by plotting acceptance probability versus contamination level as an operating characteristic (OC) curve. In practice, actual plan performance depends on the level of contamination in the incoming lot stream. This level can vary considerably over time, among different crop varieties, and among locales. To better gauge plan performance, a method of coupling an OC curve and crop distributions is proposed. The method provides a precise probabilistic statement about risk and can be easily performed with commercial spreadsheet software.

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