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 ◽  
...  

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.

2005 ◽  
Vol 895 ◽  
Author(s):  
Antonia Moropoulou ◽  
Christopher Koroneos ◽  
Maria Karoglou ◽  
Eleni Aggelakopoulou ◽  
Asterios Bakolas ◽  
...  

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


10.12737/2781 ◽  
2014 ◽  
Vol 3 (1) ◽  
pp. 63-69
Author(s):  
Пермина ◽  
E. Permina ◽  
Смирнова ◽  
E. Smirnova ◽  
Чумаченко ◽  
...  

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.


2017 ◽  
Vol 11 (4) ◽  
pp. 572-582 ◽  
Author(s):  
Kamila Romejko ◽  
◽  
Masaru Nakano

Electric vehicles (EVs) are considered a promising technology to mitigate air pollution and resource depletion problems. The emissions from the manufacturing process can cause severe health problems like chronic asthma and even death. Automakers and policy makers need to investigate the lifecycle emissions of EVs in different regions and then governments should decide if it is safe to establish EV production facilities in their country or whether it is more appropriate to import finished products. The objective of this study is to evaluate the air pollutant emissions produced by EVs and gasoline vehicles (GVs) during their life cycles under two technology scenarios. Life cycle analysis (LCA) was applied to quantify greenhouse gas (GHG) and non-GHG emissions. We assessed air pollution from vehicles in Japan, China, and the United Kingdom (UK). Results indicate that EVs do not necessarily decrease pollutant emissions. EVs can improve air quality and reduce emissions in countries where electricity is derived from clean energy resources.


Author(s):  
Meng Li ◽  
Jinqiang Liu ◽  
Venkat Pavan Nemani ◽  
Navaid Ahmed ◽  
Gül E. Kremer ◽  
...  

Abstract In agricultural and industrial equipment, both new and remanufactured systems are often available for warranty coverage. In such cases, it may be challenging for equipment manufacturers to properly trade-off between the system reliability and the cost associated with a replacement option (e.g., replace with a new or remanufactured system). To address this problem, we present a reliability-informed life-cycle warranty cost (LCWC) analysis framework that enables equipment manufacturers to evaluate different warranty policies. These warranty policies differ in whether a new or remanufactured system is used for replacement in the case of product failure. The novelty of this LCWC analysis framework lies in its ability to incorporate real-world field reliability data into warranty policy assessment using probabilistic warranty cost models that consider multiple life cycles. First, the reliability functions for the new and remanufactured systems are built as the time-to-failure distributions that provide the best-fit to the field reliability data. Then, these reliability functions and their corresponding warranty policies are used to build the LCWC models according to the specific warranty terms. Finally, Monte Carlo simulation is used to propagate the time-to-failure uncertainty of each system, modeled by its reliability function, through each LCWC model to produce a probability distribution of the LCWC. The effectiveness of the proposed reliability-informed LCWC analysis framework is demonstrated with a real-world case study on a transmission used in some agricultural equipment.


2002 ◽  
Vol 27 (2) ◽  
pp. 131-133 ◽  
Author(s):  
R.C. Dante ◽  
L.P. Güereca ◽  
L. Neri ◽  
J.L. Escamilla ◽  
L. Aquino ◽  
...  

Processes ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 392
Author(s):  
Venkata Sai Gargeya Vunnava ◽  
Shweta Singh

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.


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