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Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Developing An Integrated Model For The Corn, Ethanol, And Beef Systems Using A Loosely Coupled Web Framework, Ryan Anderson
Developing An Integrated Model For The Corn, Ethanol, And Beef Systems Using A Loosely Coupled Web Framework, Ryan Anderson
Department of Biological Systems Engineering: Dissertations and Theses
With the global population approaching 9 billion people by the year 2050, the world’s food, energy, and water (FEW) resources must be used more intelligently to provide for everyone. While we understand how individual FEW systems behave using modeling, we cannot understand the full environmental and production impacts of decisions in each system without understanding how they are all linked together. An approach to coupling these systems is starting with identifying a few highly interconnected FEW systems. The corn, ethanol, and beef systems are large economic and agricultural drivers in the Midwest United States and are highly linked. Many individual …
Carbon Footprint Stock Analysis Of U.S. Manufacturing: A Time Series Input-Output Lca, Gokhan Egilmez, Khurrum Bhutta, Bulent Erenay, Yong Shin Park, Ridvan Gedik
Carbon Footprint Stock Analysis Of U.S. Manufacturing: A Time Series Input-Output Lca, Gokhan Egilmez, Khurrum Bhutta, Bulent Erenay, Yong Shin Park, Ridvan Gedik
Mechanical and Industrial Engineering Faculty Publications
The purpose of this paper is to provide an input-output life cycle assessment model to estimate the carbon footprint of US manufacturing sectors. To achieve this, the paper sets out the following objectives: develop a time series carbon footprint estimation model for US manufacturing sectors; analyze the annual and cumulative carbon footprint; analyze and identify the most carbon emitting and carbon intensive manufacturing industries in the last four decades; and analyze the supply chains of US manufacturing industries to help identify the most critical carbon emitting industries.
A Fuzzy Data Envelopment Analysis Framework For Dealing With Uncertainty Impacts Of Input–Output Life Cycle Assessment Models On Eco-Efficiency Assessment, Gokhan Egilmez, Serkan Gumus, Murat Kucukvar, Omer Tatari
A Fuzzy Data Envelopment Analysis Framework For Dealing With Uncertainty Impacts Of Input–Output Life Cycle Assessment Models On Eco-Efficiency Assessment, Gokhan Egilmez, Serkan Gumus, Murat Kucukvar, Omer Tatari
Mechanical and Industrial Engineering Faculty Publications
The uncertainty in the results of input–output-based life cycle assessment models makes the sustainability performance assessment and ranking a challenging task. Therefore, introducing a new approach, fuzzy data envelopment analysis, is critical; since such a method could make it possible to integrate the uncertainty in the results of the life cycle assessment models into the decision-making for sustainability benchmarking and ranking. In this paper, a fuzzy data envelopment analysis model was coupled with an input–output-based life cycle assessment approach to perform the sustainability performance assessment of the 33 food manufacturing sectors in the United States. Seven environmental impact categories were …
Life Cycle Assessment And Optimization-Based Decision Analysis Of Construction Waste Recycling For A Leed-Certified University Building, Murat Kucukvar, Gokhan Egilmez, Omer Tatari
Life Cycle Assessment And Optimization-Based Decision Analysis Of Construction Waste Recycling For A Leed-Certified University Building, Murat Kucukvar, Gokhan Egilmez, Omer Tatari
Mechanical and Industrial Engineering Faculty Publications
The current waste management literature lacks a comprehensive LCA of the recycling of construction materials that considers both process and supply chain-related impacts as a whole. Furthermore, an optimization-based decision support framework has not been also addressed in any work, which provides a quantifiable understanding about the potential savings and implications associated with recycling of construction materials from a life cycle perspective. The aim of this research is to present a multi-criteria optimization model, which is developed to propose economically-sound and environmentally-benign construction waste management strategies for a LEED-certified university building. First, an economic input-output-based hybrid life cycle assessment model …
Eight Principles Of Uncertainty For Life Cycle Assessment Of Biofuel Systems, Adam J. Liska
Eight Principles Of Uncertainty For Life Cycle Assessment Of Biofuel Systems, Adam J. Liska
Adam Liska Papers
New environmental regulations in the USA and Europe require a reduction of greenhouse gas (GHG) emissions from transportation fuels as a component of climate change mitigation policy. The US Energy Independence and Security Act of 2007 (EISA) requires GHG emission reductions from the life cycles of biofuels compared to gasoline, by 20% for ethanol from maize grain (maize-ethanol), 60% for cellulosic ethanol, and 50% for other advanced biofuels. To determine these reductions, the US Environmental Protection Agency (EPA) employs life cycle assessment (LCA) methods which were not used previously in national environmental regulations. These regulations, entitled the “Renewable Fuel Standard …
Project-Risk Management And Decision Analysis In Maritime Maintenance And Repair, Michael C. Plumb, C. Ariel Pinto, Rafael Landaeta, Resit Unal, Thomas Murphy
Project-Risk Management And Decision Analysis In Maritime Maintenance And Repair, Michael C. Plumb, C. Ariel Pinto, Rafael Landaeta, Resit Unal, Thomas Murphy
Engineering Management & Systems Engineering Faculty Publications
The purpose of this paper is to provide insights regarding the implementation of using Project Risk Management (PRM) and Decision Analysis (DA) in managing projects for complex systems such as maritime vessels. The PRM approach apprehends many forms of risk both internal and external within a given project and assists the manager in determining the level of importance of each individual project phase and component to optimize project success. Ship Maintenance and Repair project decision-making requires that risk management and risk analysis techniques be applied in order to guide management in making better decisions to meet ship service life perspective. …