A DOUBLE SAMPLING PLAN FOR THE ZERO-INFLATED POISSON DISTRIBUTION IN THE FOOD INDUSTRY

• Main Author: AVIANDRI SUHARTO 23415051 , RIZKI
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/20654
• Institution: Institut Teknologi Bandung

&#65279;Implementing appropriate sampling plan is an important task to protect consumers <br /> <br /> <br /> <br /> from pathogenic microorganisms in the food industry. In this study, we develop a <br /> <br /> <br /> <br /> double sampling plan (DSP) for the zero-inflated Poisson distribution as an <br /> <br /> <br /> <br /> alternative sampling plan. This research provides R-code to determine the plan <br /> <br /> <br /> <br /> parameters such as the number of sample size, the acceptance number, and the <br /> <br /> <br /> <br /> ), and the number of the sample &#49717;&#1870;, and &#49717;&#1855;,&#49717;&#49482;rejection number on the first stage ( <br /> <br /> <br /> <br /> ). &#49718;&#1855;and &#49718;&#49482;size and the acceptance number on the second stage ( <br /> <br /> <br /> <br /> The DSP performs better than the single sampling plan (SSP) in terms of average <br /> <br /> <br /> <br /> sample number (ASN) and total risk with the same level quality, acceptable quality <br /> <br /> <br /> <br /> level (AQL) and lot of tolerance percent defective (LTPD). Simulated data with <br /> <br /> <br /> <br /> ) are , &#2010; &#49718;&#1868;, &#49625;, &#49717;&#49484;) and specified values ( &#49646;various set of given mixing proportion ( <br /> <br /> <br /> <br /> used to illustrate the applications. <br />