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Marrying math and mind: towards production planning systems for industry 5.0

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Listed:
  • Maryam Azani
  • Lijia Tan
  • Rob Basten
  • Ton de Kok

Abstract

How can a sophisticated Production Planning (PP) system help planners? To answer this question, we study the PP literature and focus on human-system interaction. We find that the PP literature mainly focuses on designing sophisticated algorithms. By synthesising forecasting and information system (IS) literature, we provide findings for designing a human-centred PP system. From the forecasting literature, we learn that certain biases and heuristics become relevant when humans work with systems. We categorise this literature into three system elements: information received, delivery system, and decision aid provided, as well as two human factors: cognitive limitations and capabilities. From the IS literature, we learn that different factors impact behaviour over the system acceptance and continued use phases. Behaviour is mainly impacted by the Perceived Ease of Use in the acceptance phase. The Perceived Usefulness mainly determines interventions to the solutions in the continued use phase. We combine the two phases distinguished in the IS literature with the three system elements distinguished in the forecasting literature and thus propose a two-phase × three-element matrix for designing human-centred systems, obtain findings that serve as guidelines for designing human-centred PP systems, and propose an agenda for future research in PP.

Suggested Citation

  • Maryam Azani & Lijia Tan & Rob Basten & Ton de Kok, 2025. "Marrying math and mind: towards production planning systems for industry 5.0," International Journal of Production Research, Taylor & Francis Journals, vol. 63(13), pages 4864-4886, July.
  • Handle: RePEc:taf:tprsxx:v:63:y:2025:i:13:p:4864-4886
    DOI: 10.1080/00207543.2024.2443800
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