An integrated Lean-IoT-business intelligence model of IS success on the manufacturing shop

A 55.55% reduction in unscheduled downtime was observed in a single-case study of an IoT-enabled Andon system integrated with a Business Intelligence visualization layer in a genset manufacturing business. The research provides empirical validation of an integrated Industry 4.0 intervention through a sociotechnical lens, highlighting the synergy between digital tools and human decision-making. The dataset, a 1.1 MB DOCX file authored by M.S. Narassima, was last updated on May 12, 2026.

Use Cases

• Analyzing the impact of real-time monitoring and visual management on operational performance metrics like Overall Equipment Effectiveness.
• Studying the sociotechnical factors influencing the success of IoT and Business Intelligence integrations in manufacturing.
• Benchmarking the effects of digital interventions, such as downtime reduction, against similar case studies in lean manufacturing.
• Investigating the role of operator empowerment in responsive production decision-making facilitated by integrated technology systems.

Strengths

• The study reports a specific, quantified outcome: a 55.55% reduction in unscheduled downtime.
• The research provides empirical validation of an integrated Industry 4.0 intervention through a sociotechnical lens.
• The dataset is openly licensed under CC-BY-4.0, facilitating reuse and distribution.

Limitations

• Row count is unknown, which may limit suitability assessment for quantitative analysis.
• Column-level documentation is absent; field semantics must be inferred after download.
• The data is based on a single-case study, which may limit generalizability of findings.

Provenance

Source

figshare

Collection Method

Single-case study method within a genset manufacturing business.

Time Range

The study period is not explicitly stated in the provided metadata.

Freshness

Last updated 2026-05-12 08:42:10; freshness should be verified.

Geography

The geographic location of the genset manufacturing business is not specified.