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Smart Information Systems for Retort Process Optimisation in Malaysian SMEs: A Literature-Based Review of Food Safety and Traceability

Author

Listed:
  • Muhamad Ismail Pahmi

    (Faculty of Information Science, University Technology Mara (UiTM), Cawangan Johor, campus Segamat, 85000 Segamat, Johor, Malaysia.)

  • Shafiee Md Tarmudi

    (Faculty of Information Science, University Technology Mara (UiTM), Cawangan Johor, campus Segamat, 85000 Segamat, Johor, Malaysia.)

  • Ros Hasri Ahmad

    (Faculty of Information Science, University Technology Mara (UiTM), Cawangan Johor, campus Segamat, 85000 Segamat, Johor, Malaysia.)

  • Rahmawati Mohd Yusoff

    (Faculty of Information Science, University Technology Mara (UiTM), Cawangan Johor, campus Segamat, 85000 Segamat, Johor, Malaysia.)

Abstract

Malaysian Small and Medium-sized Enterprises (SMEs) operating in the food processing sector, particularly those utilising retort technology, face significant challenges in optimising their processes, ensuring stringent food safety standards, and maintaining comprehensive product traceability. Limited resources, technical expertise, and access to advanced technologies often exacerbate these challenges. This article presents a comprehensive literature-based review exploring the potential of Smart Information Systems (SIS) to address these critical issues within the context of Malaysian SMEs. The study synthesises findings from existing academic literature on SIS, retort process optimisation, food safety management, and traceability in the food industry, with a specific focus on the Malaysian SME landscape. Employing a desktop analysis methodology, this review systematically examines peer-reviewed articles, conference papers, and industry reports to identify key themes, technological applications, and conceptual linkages. The analysis reveals that SIS, leveraging technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and Big Data Analytics, can significantly enhance retort process control through real-time monitoring and predictive analytics. Furthermore, SIS can bolster food safety by automating critical control point monitoring and facilitating proactive risk assessment. Crucially, these systems can revolutionise traceability by integrating data across the supply chain, enabling immutable record-keeping through technologies like blockchain, and improving recall management. The paper discusses the specific challenges faced by Malaysian SMEs in adopting SIS, including high initial investment and lack of technical expertise, alongside potential enablers such as government support and collaborative initiatives. The findings underscore the strategic imperative for Malaysian SMEs to embrace SIS for improved operational efficiency, enhanced food safety compliance, and robust traceability, ultimately contributing to their competitiveness and market access. Recommendations for industry practitioners, policymakers, and future research directions are provided to guide the successful implementation and further exploration of SIS in this vital sector.

Suggested Citation

  • Muhamad Ismail Pahmi & Shafiee Md Tarmudi & Ros Hasri Ahmad & Rahmawati Mohd Yusoff, 2025. "Smart Information Systems for Retort Process Optimisation in Malaysian SMEs: A Literature-Based Review of Food Safety and Traceability," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(9), pages 443-456, September.
    • Handle: RePEc:bcp:journl:v:9:y:2025:issue-9:p:443-456
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    References listed on IDEAS

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    1. Syed Shah Alam & Abul Bashar Bhuiyan & Fauzi Mohd Jani & Che Aniza Che Wel, 2016. "The impact of innovation on growth and performance of processed food SMEs in Malaysia," International Journal of Entrepreneurship and Innovation Management, Inderscience Enterprises Ltd, vol. 20(1/2), pages 61-79.
    2. Alfaro, Jos A. & Rbade, Luis A., 2009. "Traceability as a strategic tool to improve inventory management: A case study in the food industry," International Journal of Production Economics, Elsevier, vol. 118(1), pages 104-110, March.
    3. Manikas, Ioannis & Sundarakani, Balan & John, Jerin Varghese, 2017. "Analysis of operational efficiency of a meat processing supply chain: A case study from the UAE," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 0(Issue 2), July.
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