Answers are grounded in this paper and cite their sources.
Literature review identifies and categorizes MES implementation challenges, suggesting a structured framework for understanding these obstacles.
In the context of Industry 4.0, Manufacturing Execution Systems (MES) are fundamental components, operating as a bridge between enterprise-level planning and real-time shop floor operations, thereby enabling smart manufacturing. Although MES are widely acknowledged for improving efficiency and enabling data-driven decisions, their effective deployment often faces multiple barriers that are both complex and interconnected. While previous studies highlight individual challenges, a holistic and categorized perspective on these obstacles is missing. This study aims to address this gap by providing a consolidated and structured framework of MES implementation challenges, enriching the existing body of knowledge through a detailed literature review. Drawing on a systematic literature review, this research identifies and categorizes these challenges into five distinct domains: technical, organizational, human/skills-related, contextual/external, and financial. This research contributes to a better understanding of MES implementation dynamics and offers a structured framework for identifying obstacles in both academic and industrial contexts. Future work will involve qualitative interviews with practitioners to bridge the gap between theory and real-world MES deployment strategies.
No takes yet. Share an insight, caveat, or question.
Panerai et al. (2026) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: