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<p>Sampling-based lot disposition plans are essential to verify compliance with microbiological criteria in food safety management. Although lot-level quantitative microbiological records are routinely stored in auditable food safety systems, limited research has examined how recent comparable records can be formally incorporated into sampling-based lot disposition decisions. To bridge this gap, this study develops a historical-record-informed inspection plan (HRIP) based on a microbial safety index, which systematically incorporates historical lot-level data into current lot disposition decisions. Comparative analyses show that HRIP enhances cost-effectiveness and discriminatory power compared to existing single sampling plans. Furthermore, a cloud-computing solver was developed to facilitate optimal plan design, ensuring practical applicability. Finally, an illustrative example demonstrates the method's use in verifying <i>Listeria monocytogenes</i> in ready-to-eat foods.</p>

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Development and evaluation of a historical-record-informed plan for microbiological lot disposition

  • 期刊论文

  • 发表日期：

    2026年7月21日

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  • To-Cheng Wang

摘要

Sampling-based lot disposition plans are essential to verify compliance with microbiological criteria in food safety management. Although lot-level quantitative microbiological records are routinely stored in auditable food safety systems, limited research has examined how recent comparable records can be formally incorporated into sampling-based lot disposition decisions. To bridge this gap, this study develops a historical-record-informed inspection plan (HRIP) based on a microbial safety index, which systematically incorporates historical lot-level data into current lot disposition decisions. Comparative analyses show that HRIP enhances cost-effectiveness and discriminatory power compared to existing single sampling plans. Furthermore, a cloud-computing solver was developed to facilitate optimal plan design, ensuring practical applicability. Finally, an illustrative example demonstrates the method's use in verifying Listeria monocytogenes in ready-to-eat foods.