ArticleThe International journal, advanced manufacturing technology2026
A decision support model for efficient garment reprocessing for a sustainable circular business model.
Article in The International journal, advanced manufacturing technology, 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
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rapidly growing fashion business has intensified environmental, and sustainability concerns due to its focus on high-volume production at low costs. The rental-based business models in the circular economy, by promoting an alternative approach to garment ownership, aim to mitigate environmental impact, enhance businesses' competitiveness, and provide user value to customers. The rapid reprocessing of garment rentals offered to customers boosts corporate earnings and mitigates environmental issues. However, considering the complexities of garment reprocessing and fluctuations in rental demand, the objective of this study is to use an open Jackson queueing network with a decomposition approach to analyse the effects of external arrival rates and worker's processing rates on lead processing time and throughput for different garment types. The tradeoff curves provide a sensitivity analysis by varying the external arrival rate and the worker's processing rate to examine their impact on lead time and throughput of garment types. The results based on the workcell utilization demonstrate the tradeoff in throughput of various garment types by varying process parameters in the garments reprocessing. The results indicate that deviations in process parameters beyond certain upper and lower thresholds result in reduced throughput and increased lead time for garment types. The rearrangement of workers in the reprocessing workcell network showed a favourable improvement in the throughput of garment types. The findings significantly benefit the garment sector by offering a methodical approach for efficient processing, consequently improving overall efficiency and sustainability, and promoting circular economy efforts.
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.