ArticleScientific reports2025
Impact of smart energy on a three-echelon closed-loop supply chain management with reduction of carbon emissions.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
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
The effective management of energy consumption and the reduction of emissions are crucial to sustainable supply chain management. Sustainability can be approached in a new way through smart energy. Smart energy combines traditional and renewable energy sources through a smart system that is more efficient than conventional energy for sustainability. The model creates a closed-loop supply chain management for tires production to find the efficiency of smart energy utilization and the remanufacturing of end-of-life tires to achieve the sustainability goal. The model determines the policy for using smart energy by finding the ratio of renewable to traditional energy. The players include a manufacturer, multiple retailers, and third-party logistics that consume energy for production and management. The manufacturer follows a manufacturing-remanufacturing strategy to produce new and remanufactured tires and supplies those tires to all retailers by following an optimal delivery schedule. The formulated profit function of the developed model is a mixed-integer nonlinear function. A classical optimization method is used to solve the model. The most important finding is that using 42% smart energy increases total profit by 12.71% and pulls down emissions by 41.98%. A mixed production strategy with variable remanufacturing earns 13.91% more profit.
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.