Andere Kunden interessierten sich auch für
![Extraction of Valuable Products from Agro-Industrial Waste Materials]( "Extraction of Valuable Products from Agro-Industrial Waste Materials")
Extraction of Valuable Products from Agro-Industrial Waste Materials24,99 €![Green Logistics]( "Green Logistics")
Green Logistics49,00 €![Entrepreneurship in the Raw Materials Sector]( "Entrepreneurship in the Raw Materials Sector")
Entrepreneurship in the Raw Materials Sector180,99 €![Waste Products and Undeveloped Substances: A Synopsis of Progress Made in Their Economic Utilisation During the Last Quarter of a Century at Home and]( "Waste Products and Undeveloped Substances: A Synopsis of Progress Made in Their Economic Utilisation During the Last Quarter of a Century at Home and")
Waste Products and Undeveloped Substances: A Synopsis of Progress Made in Their Economic Utilisation During the Last Quarter of a Century at Home and44,99 €![Strategic Materials and National Strength]( "Strategic Materials and National Strength")
Strategic Materials and National Strength34,99 €![Agrarian China; Selected Source Materials From Chinese Authors]( "Agrarian China; Selected Source Materials From Chinese Authors")
Agrarian China; Selected Source Materials From Chinese Authors37,99 €![Fisher Investments on Materials]( "Fisher Investments on Materials")
Fisher Investments on Materials24,99 €
In this study, a reverse logistics model is
developed to minimize the environmental and
operational costs of exchanging waste and by-product
materials in a business-to-business network. This
research investigates the opportunities for
substituting raw materials usage with value added
waste/by-product materials collected from a regional
network. The network contains manufacturers,
collection centers, value added process centers
(e.g. disassembly, recycling, or remanufacturing),
disposal centers, and virgin material market. The
model captures environmental costs as well as the
operational costs. The model is applied on the Los
Angeles County Aluminum industry case. An Economic
Input-Output (EIO) clustering method and Principal
Component Analysis (PCA) are employed to develop
industrial clusters in the region. Studying these
clusters expands our knowledge regarding materials
flow in the region. Based on the outcome of the
clustering, Electronics industries cluster is
discovered to be one of the major links in terms of
the economics indices.
developed to minimize the environmental and
operational costs of exchanging waste and by-product
materials in a business-to-business network. This
research investigates the opportunities for
substituting raw materials usage with value added
waste/by-product materials collected from a regional
network. The network contains manufacturers,
collection centers, value added process centers
(e.g. disassembly, recycling, or remanufacturing),
disposal centers, and virgin material market. The
model captures environmental costs as well as the
operational costs. The model is applied on the Los
Angeles County Aluminum industry case. An Economic
Input-Output (EIO) clustering method and Principal
Component Analysis (PCA) are employed to develop
industrial clusters in the region. Studying these
clusters expands our knowledge regarding materials
flow in the region. Based on the outcome of the
clustering, Electronics industries cluster is
discovered to be one of the major links in terms of
the economics indices.