scholarly journals Life Cycle Analysis for D and D Decision Making: Disposition of Hanford Railcars

2001 ◽  
Author(s):  
K L Yuracko
Keyword(s):  
Decision Making ◽  
Life Cycle ◽  
Life Cycle Analysis

Life cycle analysis of mortars and its environmental impact

2005 ◽  
Vol 895 ◽  
Author(s):  
Antonia Moropoulou ◽  
Christopher Koroneos ◽  
Maria Karoglou ◽  
Eleni Aggelakopoulou ◽  
Asterios Bakolas ◽  
...  
Keyword(s):  
Decision Making ◽  
Life Cycle Assessment ◽  
Life Cycle ◽  
Environmental Impact ◽  
Life Cycle Analysis ◽  
Considerable Research ◽  
Cement Binder ◽  
The Impact ◽  
Selection Of ◽  
Lca Results

AbstractOver the years considerable research has been conducted on masonry mortars regarding their compatibility with under restoration structures. The environmental dimension of these materials may sometimes be a prohibitive factor in the selection of these materials. Life Cycle Assessment (LCA) is a tool that can be used to assess the environmental impact of the materials. LCA can be a very useful tool in the decision making for the selection of appropriate restoration structural material. In this work, a comparison between traditional type of mortars and modern ones (cement-based) is attempted. Two mortars of traditional type are investigated: with aerial lime binder, with aerial lime and artificial pozzolanic additive and one with cement binder. The LCA results indicate that the traditional types of mortars are more sustainable compared to cementbased mortars. For the impact assessment, the method used is Eco-indicator 95

scholarly journals Interactive System related to Support of Decision-Making at Household Packing Choice on Basis of Life Cycle Analysis in Ecological Marketing

10.12737/2781 ◽  
2014 ◽  
Vol 3 (1) ◽  
pp. 63-69
Author(s):  
Пермина ◽  
E. Permina ◽  
Смирнова ◽  
E. Smirnova ◽  
Чумаченко ◽  
...  
Keyword(s):  
Decision Making ◽  
Life Cycle Assessment ◽  
Life Cycle ◽  
Life Cycle Analysis ◽  
Interactive System ◽  
Secondary Processing ◽  
Iso 14 040 ◽  
Information Basis ◽  
Resources Development

Any production interacts with environment at all stages of this production’s existence, beginning from resources development for manufacture and finishing to utilization or secondary processing. The ISO 14 040 standard "Life Cycle Assessment" allows describe completely this interaction and already on received information basis formulate recommendations related to change of studied production’s manufacture, operation and utilization processes. In presented paper the life cycle assessment is considered on the example of cash desk packing made of plastic of various types, paper and fabric. It has been shown that only the life cycle assessment allows make an eco-friendly packing choice that is inflicting the minimum harm to environment.

Life cycle analysis of hydrogen fuel: a methodology for a strategic approach of decision making☆

2002 ◽  
Vol 27 (2) ◽  
pp. 131-133 ◽  
Author(s):  
R.C. Dante ◽  
L.P. Güereca ◽  
L. Neri ◽  
J.L. Escamilla ◽  
L. Aquino ◽  
...  
Keyword(s):  
Decision Making ◽  
Life Cycle ◽  
Life Cycle Analysis ◽  
Hydrogen Fuel ◽  
Strategic Approach

scholarly journals Spatial Life Cycle Analysis of Soybean-Based Biodiesel Production in Indiana, USA Using Process Modeling

Processes ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 392
Author(s):  
Venkata Sai Gargeya Vunnava ◽  
Shweta Singh
Keyword(s):  
Decision Making ◽  
Global Warming ◽  
Life Cycle ◽  
Global Warming Potential ◽  
Environmental Performance ◽  
Regional Variation ◽  
Life Cycle Analysis ◽  
Northern Region ◽  
Biodiesel Production ◽  
The Impact

Life Cycle Analysis (LCA) has long been utilized for decision making about the sustainability of products. LCA provides information about the total emissions generated for a given functional unit of a product, which is utilized by industries or consumers for comparing two products with regards to environmental performance. However, many existing LCAs utilize data that is representative of an average system with regards to life cycle stage, thus providing an aggregate picture. It has been shown that regional variation may lead to large variation in the environmental impacts of a product, specifically dealing with energy consumption, related emissions and resource consumptions. Hence, improving the reliability of LCA results for decision making with regards to environmental performance needs regional models to be incorporated for building a life cycle inventory that is representative of the origin of products from a certain region. In this work, we present the integration of regionalized data from process systems models and other sources to build regional LCA models and quantify the spatial variations per unit of biodiesel produced in the state of Indiana for environmental impact. In order to include regional variation, we have incorporated information about plant capacity for producing biodiesel from North and Central Indiana. The LCA model built is a cradle-to-gate. Once the region-specific models are built, the data were utilized in SimaPro to integrate with upstream processes to perform a life cycle impact assessment (LCIA). We report the results per liter of biodiesel from northern and central Indiana facilities in this work. The impact categories studied were global warming potential (kg CO2 eq) and freshwater eutrophication (kg P eq). While there were a lot of variations at individual county level, both regions had a similar global warming potential impact and the northern region had relatively lower eutrophication impacts.

Better D&D decision making through life cycle analysis

2001 ◽  
Vol 12 (3) ◽  
pp. 312-323 ◽  
Author(s):  
Katherine L. Yuracko ◽  
Michael I. Morris
Keyword(s):  
Decision Making ◽  
Life Cycle ◽  
Life Cycle Analysis

scholarly journals Reliability-Informed Life Cycle Warranty Cost and Life Cycle Analysis of Newly Manufactured and Remanufactured Units

2021 ◽  
pp. 1-26
Author(s):  
Meng Li ◽  
Venkat P. Nemani ◽  
Jinqiang Liu ◽  
Michael A Lee ◽  
Navaid Ahmed ◽  
...  
Keyword(s):  
Decision Making ◽  
Life Cycle ◽  
Life Cycle Analysis ◽  
Life Cycles ◽  
Design Engineers ◽  
Rigorous Framework ◽  
Warranty Cost ◽  
The Difference ◽  
Standard Life ◽  
Warranty Policies

Abstract Standard life cycle techniques such as life cycle warranty cost (LCWC) analysis and life cycle analysis (LCA) are used to respectively quantify the relative economical and environmental advantages of remanufactured goods while simultaneously identifying avenues for improvement. In this paper, we contribute to the literature on life cycle studies by incorporating reliability into LCWC analysis and LCA with the goal of improving long-term/multiple life cycle decision making. We develop a branched power-law model to incorporate the physical degradation mechanisms leading to reduced reuse rates of system parts over multiple life cycles. We then follow a standard LCA protocol to quantify the difference between a new unit and its remanufactured version in terms of environmental impact items such as abiotic depletion potential, global warming potential, and energy consumption. We then devise four practical warranty policies that vary in the choice of replacement and/or provision for extended warranty. All possible replacement scenarios for multiple life cycles are explored for each policy and a mathematically rigorous framework is provided, where the reliability information is used to calculate probabilistic LCWC and life cycle impact items. This reliability-informed LCWC analysis and LCA framework enables design engineers to compare design options and warranty policies by quantifying both economical and environmental impacts to aid in decision making. Although the framework is presented in a general form applicable to any engineered system, we demonstrate the utility of this framework by using a case study of an infinitely variable transmission used in agricultural equipment.

Methodological analysis for decision-making regarding solid waste management in megacities

2020 ◽  
Author(s):  
Johanna Solano ◽  
David Orjuela Yepes ◽  
Javier Rodrigo-Ilarri
Keyword(s):  
Decision Making ◽  
Life Cycle ◽  
Environmental Economic ◽  
Waste Management ◽  
Solid Waste ◽  
Life Cycle Analysis ◽  
Solid Waste Management ◽  
Social Impacts ◽  
Toma De Decisiones ◽  
Economic And Social Impacts

<p>Pronosticar la generación de residuos sólidos se ha convertido en un tema fundamental para dimensionar los elementos técnicos (generación, recolección, transporte, transferencia, uso y disposición final) y políticos (legislación, grupos de interés, sostenibilidad financiera) con respecto a la gestión integral de residuos sólidos en megaciudades. Para poder hacer este tipo de predicciones, es necesario diseñar modelos matemáticos que permitan el análisis de cada variable asociada con esta gestión, teniendo en cuenta las particularidades y necesidades locales de gestión de residuos.</p><p>Se pueden incluir varios modelos en cada etapa de la gestión integral de residuos sólidos urbanos. Actualmente, existen modelos que utilizan inteligencia artificial para pronosticar la generación de residuos sólidos urbanos, diseñar rutas de recolección y seleccionar el tipo de disposición final. Sin embargo, es necesario integrar estos modelos que respondan al contexto de cada población. Para lograr esto, es necesario conocer las características de cada ciudad, así como las diferentes variables implícitas dentro del proceso para desarrollar metodologías concretas, que se convierten en herramientas útiles para las administraciones municipales. Sin embargo, las metodologías existentes no incluyen un análisis de los impactos asociados con cada etapa del proceso de gestión de residuos, como criterio para seleccionar las mejores estrategias de gestión. </p><p>Therefore, this methodological proposal includes a stage to evaluate the possible impacts caused by the selected alternative, for which a life cycle analysis is proposed as a tool to determine possible environmental, economic and social impacts. This analysis will be carried out by gathering the corresponding information, as well as using specific software to obtain the data that feeds the model for subsequent decision-making.</p><p>Esta propuesta introduce diferentes tipos de modelos en cada etapa del proceso para obtener resultados integrales y más precisos con respecto a las necesidades de una megaciudad. La propuesta se basa en variables y datos reales de acuerdo con las particularidades de las ciudades, para minimizar los posibles errores en la toma de decisiones. Al introducir herramientas cuantitativas para analizar la gestión de residuos sólidos urbanos, la metodología propuesta omite posibles evaluaciones cualitativas o basadas en la percepción, lo que lleva a que los resultados obtenidos sean cada vez más realistas, ya que tienen en cuenta las necesidades reales de cada población.</p>

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