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Supplementary data: Exploring Remanufacturing Conveniency: An Economic and Energetic Assessment for a Closed-Loop Supply Chain of a Mechanical Component

<p>The conveniency between remanufacturing a single mechanical product and its new production is a highly investigated topic across various disciplines, including supply chain management. To this end, a comparison was made among three different configurations of the supply chain network: the traditional network for new production, the network with remanufacturing and direct interaction between customer and manufacturer, and the network with remanufacturing and indirect interaction between customer and manufacturer through a distribution center. The evaluation of scenarios for the remanufacturing conveniency of remanufacturing was conducted from both an economic and energetic perspective, generating 10'000 cases using the Sobol quasi-random low-discrepancy sequence. The generation was carried out for both economic and energetic analyses for three types of materials, namely steel, aluminum, and titanium, for which complete datasets are provided:</p> <ul> <li><strong>Steel_EconomicAnalysis.xlsx</strong>: dataset for economic analysis for the remanufacturing conveniency of mechanical products in steel</li> <li><strong>Steel_EnergeticAnalysis.xlsx</strong>: dataset for energetic analysis for the remanufacturing conveniency of mechanical products in steel</li> <li><strong>Aluminum_EconomicAnalysis.xlsx</strong>: dataset for economic analysis for the remanufacturing conveniency of mechanical products in aluminum</li> <li><strong>Aluminum_EnergeticAnalysis.xlsx</strong>: dataset for energetic analysis for the remanufacturing conveniency of mechanical products in aluminum</li> <li><strong>Titanium_EconomicAnalysis.xlsx: </strong>dataset for economic analysis for the remanufacturing conveniency of mechanical products in titanium</li> <li><strong>Titanium_EnergeticAnalysis.xlsx</strong>: dataset for energetic analysis for the remanufacturing conveniency of mechanical products in titanium</li> </ul>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

Topics