Title
Supply chain sustainability assessment of the US food manufacturing sectors: A life cycle-based frontier approach
Abbreviated Journal Title
Resour. Conserv. Recycl.
Keywords
Economic input-output analysis; Life cycle assessment; Data envelopment; analysis; Food manufacturing; Supply chain; Sustainability; DATA ENVELOPMENT ANALYSIS; ECO-EFFICIENCY ANALYSIS; INPUT-OUTPUT-ANALYSIS; ENVIRONMENTAL IMPACTS; INDEX APPROACH; ENERGY; POWER; CONSUMPTION; INVENTORY; FRAMEWORK; Engineering, Environmental; Environmental Sciences
Abstract
Due to the fact that food manufacturing is one of the major drivers of the global environmental issues, there is a strong need to focus on sustainable manufacturing toward achieving long-term sustainability goals in food production of the United States. In this regard, current study assessed the direct and indirect environmental footprint of 33 U.S. food manufacturing sectors by using the Economic Input-Output Life Cycle Assessment (EIO-LCA) model. Then, a non-parametric mathematical optimization tool, namely Data Envelopment Analysis (DEA), is utilized to benchmark the sustainability performance of food manufacturing sectors by using the results of the EIO-LCA model. Next, sustainability performance indices (SPIs), rankings, target improvements, and sensitivity of environmental impact indicators are presented. The average SPI score of U.S. food manufacturing sectors is found as 0.76. In addition, 19 out of 33 food sectors are found as inefficient where an average of 45-71% reduction is indicated for various environmental impact categories. Analysis results also indicate that supply chains of food manufacturing sectors are heavily responsible for the impacts with over 80% shares for energy, water and carbon footprint, fishery and grazing categories. Especially, animal (except poultry) slaughtering, rendering and processing sector is found as the most dominant sector in most of the impact categories (ranked as 2nd in fishery and forest land). Sensitivity analysis indicated that forest land footprint is found to be the most sensitive environmental indicator on the overall sustainability performance of food manufacturing sectors. (C) 2013 Elsevier B.V. All rights reserved.
Journal Title
Resources Conservation and Recycling
Volume
82
Publication Date
1-1-2014
Document Type
Article
Language
English
First Page
8
Last Page
20
WOS Identifier
ISSN
0921-3449
Recommended Citation
"Supply chain sustainability assessment of the US food manufacturing sectors: A life cycle-based frontier approach" (2014). Faculty Bibliography 2010s. 5291.
https://stars.library.ucf.edu/facultybib2010/5291
Comments
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