Computerized Immediate Feedback on Food Safety Quality Control and In-Process Inspections at a Food Manufacturing Plant

被引:3
|
作者
Goomas, David T. [1 ]
Ludwig, Timothy D. [2 ]
机构
[1] Galveston Coll, Dept Psychol, Galveston, TX USA
[2] Appalachian State Univ, Dept Psychol, Boone, NC 28608 USA
关键词
Immediate visual and audio feedback; quality control; in-process inspections; food manufacturing consumer safety; PERFORMANCE; TECHNOLOGY; ACCURACY; SYSTEMS;
D O I
10.1080/01608061.2021.1975605
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
Food manufacturing companies are challenged with performing quality control testing and inspections so that their product is safe for consumption. If a product does not meet quality control standards during processing, the product must be quickly removed from circulation before it is packaged, selected and shipped to consumers. The accuracy of the food recall is dependent upon tracking multiple sources: ingredients from suppliers, floor-inspections, packaging, storage, truck delivery and customer sales. In the current study, during practice "mock" recalls, the host company never achieved 100% retrieval accuracy from these multiple sources and never within a 2-hour threshold. An intervention for in-process inspections was designed using handheld tablets programmed for inputting quality control testing results, along with immediate visual and audio feedback and near-immediate retrieval of quality control testing results on-demand. Subsequently, "mock" recalls resulted in 100% data retrieval accuracy capturing quality control testing results, within several minutes. Results are discussed in terms of process safety behavioral systems integrated into technology designed to improve consumer safety.
引用
收藏
页码:319 / 331
页数:13
相关论文
共 13 条
  • [1] Computerized Immediate Feedback Increases Product Recall Efficiency Due to Interlocking Contingencies in Food Manufacturing
    Goomas, Dave
    Ludwig, Timothy David
    JOURNAL OF ORGANIZATIONAL BEHAVIOR MANAGEMENT, 2017, 37 (01) : 96 - 106
  • [2] Food Safety and Quality Control: Hints from Proteomics
    D'Alessandro, Angelo
    Zolla, Lello
    FOOD TECHNOLOGY AND BIOTECHNOLOGY, 2012, 50 (03) : 275 - 285
  • [3] How Scheduling Can Bias Quality Assessment: Evidence from Food-Safety Inspections
    Ibanez, Maria R.
    Toffel, Michael W.
    MANAGEMENT SCIENCE, 2020, 66 (06) : 2396 - 2416
  • [4] Quality Control throughout the Production Process of Infant Food
    Hamrin, Pia
    Hoeft, Birgit
    ANNALS OF NUTRITION AND METABOLISM, 2012, 60 (03) : 208 - 210
  • [5] Integrating AI and advanced spectroscopic techniques for precision food safety and quality control
    Ziani, Imane
    Bouakline, Hamza
    El Guerraf, Abdelqader
    El Bachiri, Ali
    Fauconnier, Marie-Laure
    Sher, Farooq
    TRENDS IN FOOD SCIENCE & TECHNOLOGY, 2025, 156
  • [6] Research advances in imaging technology for food safety and quality control
    Deng Yamei
    Wang Xiujuan
    Yang Minli
    He Muyi
    Zhang Feng
    CHINESE JOURNAL OF CHROMATOGRAPHY, 2020, 38 (07) : 741 - 749
  • [7] A comprehensive review of blockchain with artificial intelligence integration for enhancing food safety and quality control
    Femimol, R.
    Joseph, L. Nalini
    INNOVATIVE FOOD SCIENCE & EMERGING TECHNOLOGIES, 2025, 102
  • [8] Risk early warning and control of food safety based on an improved analytic hierarchy process integrating quality control analysis method
    Ma, Bo
    Han, Yongming
    Cui, Shiying
    Geng, Zhiqiang
    Li, Hongda
    Chu, Chong
    FOOD CONTROL, 2020, 108
  • [9] Study on quality control of modern agricultural supply chain based on food safety
    Yao Yuchen
    Jiang Fangtao
    Zhang Li
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON SCIENCE AND SOCIAL RESEARCH (ICSSR 2013), 2013, 64 : 751 - 754
  • [10] AIEgens: An emerging fluorescent sensing tool to aid food safety and quality control
    Huang, Xiaolin
    Guo, Qian
    Zhang, Ruoyao
    Zhao, Zheng
    Leng, Yuankui
    Lam, Jacky W. Y.
    Xiong, Yonghua
    Tang, Ben Zhong
    COMPREHENSIVE REVIEWS IN FOOD SCIENCE AND FOOD SAFETY, 2020, 19 (04): : 2297 - 2329