Sustainability assessment of additive manufacturing end-of-life material management

Autor: John D. Chea, Gerardo J. Ruiz-Mercado, Raymond L. Smith, Michael A. Gonzalez, David E. Meyer

Publikováno v: Next Sustainability, Vol 5, Iss , Pp 100085- (2025)

Additive manufacturing (AM) methods enable complex, customized, and on-demand production of many products from different material types across various industries. The growing demand for flexible and more sustainable manufacturing solutions places AM

Externí odkaz: https://doaj.org/article/9c756d20de20441380565cba5d004c24

Enhanced Material Management: Application of Natural Language Processing and Rule-based Modelling for Simplifying Storage Requirements in a Museum

Autor: Grossmann, Georg, Beale, Alice, Singh, Harkaran, Smith, Ben, Nichols, Julie

Publikováno v: Data Curation and Information Systems Design from Australasia: Implications for Cataloguing of Vernacular Knowledge in Galleries, Libraries, Archives, and Museums

Externí odkaz: http://www.emeraldinsight.com/doi/10.1108/S0065-283020240000054004

Recycling Practices of E-Waste and Associated Challenges: A Research Trends Analysis

Autor: Jit Das and Arpita Ghosh

Publikováno v: Nature Environment and Pollution Technology, Vol 22, Iss 3, Pp 1169-1182 (2023)

In this fast-moving world, we use many electronic items daily to fulfill our daily work. Also, in the fast-growing economy, electronic items play key roles. India’s e-waste is projected to be around 18 lakh metric tons. According to industry source

Externí odkaz: https://doaj.org/article/dd6f1b1a49044e45bd167288c6492638

Examining the Impact of Material Management Practices on Project Performance in the Construction Industry

Autor: Serkan Yıldız, Sinan Güneş, Serkan Kıvrak

Publikováno v: Buildings, Vol 14, Iss 7, p 2076 (2024)

In the construction industry, much of the construction process is controlled by materials, and material management has a direct impact on many performance criteria such as cost, time, quality, and efficiency. This study examined the impact on project

Externí odkaz: https://doaj.org/article/17867b1d9d96411993148d6907f128c8

Reinforcement Learning-Based Optimization for Sustainable and Lean Production within the Context of Industry 4.0

Autor: Panagiotis D. Paraschos, Georgios K. Koulinas, Dimitrios E. Koulouriotis

Publikováno v: Algorithms, Vol 17, Iss 3, p 98 (2024)

The manufacturing industry often faces challenges related to customer satisfaction, system degradation, product sustainability, inventory, and operation management. If not addressed, these challenges can be substantially harmful and costly for the su

Externí odkaz: https://doaj.org/article/dc2b42b60ccc439f99a9eefff85b509a