ArticleScientific reports2026
Development of a shop floor scheduling and allocation framework for operations management excellence using cutting-edge technologies.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Operational excellence is a predominant theme for industry professionals in the current shop-floor environment. Researchers and industry professionals support emerging technologies to achieve operational excellence. Emerging technologies help enhance production outcomes by observing shop floor tasks in real time. In the current dynamic, active scenario, industry operations teams need a more efficient operations control system to achieve excellence in outcomes through advancements in shop-floor setup. The present research proposes a two-phase strategic approach to achieve excellence in production outcomes in shop floor operations. In the first phase, the author developed a methodology to improve operational performance. The second phase developed an innovative system for efficient scheduling and resource allocation in operations management. The developed design enhances the effectiveness of production monitoring systems by leveraging advanced technologies in Industry 4.0 environments. The present study verified the developed framework by implementing it in an inspection department that worked in an Industry 4.0 environment. The outcomes of the investigation showed that the production rate, workforce contribution, machinery utilization, economic strength, the efficacy of the resource allocation system, energy consumption, and production plant floor utilization have been enhanced by 47%, 95%, 97%, 75%, 92%, 82%, and 98%, respectively. Industry personnel verified that the framework could provide an innovative framework for industry professionals to enhance functional outcomes and economic sustainability in Industry 4.0.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.