A Dynamic Material Flow Model for Risk-Informed Decision-Making in Decarbonizing Global Aluminum ManufacturingSource: Journal of Manufacturing Science and Engineering:;2024:;volume( 146 ):;issue: 011::page 110904-1DOI: 10.1115/1.4065695Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Aluminum is the world's second most consumed metal, and its production contributes substantially to global greenhouse gas (GHG) emissions. When formulating decarbonization strategies, it is imperative to ensure their coherence and alignment with existing industrial practices and standards. A material flow analysis (MFA) is needed to gain a holistic and quantitative understanding of the flows and stocks of products/materials associated with all participants within the supply chain. To support risk-informed decision policymaking in decarbonizing aluminum manufacturing, this study develops a dynamic system model that maps global aluminum flows and computes their embedded GHG emissions. A baseline scenario is devised to reflect the current business and operation landscape, and three decarbonization strategies are proposed. Deterministic simulation is performed to generate dynamic material flows and performance metrics. Monte Carlo simulation is then implemented to evaluate the robustness of the system's performance under demand uncertainties. The results reveal the immense carbon implications of material efficiency, as well as the preponderant role of post-consumer scrap recycling in decarbonizing aluminum manufacturing. Informed by simulation outputs, macro decarbonization guidelines are formulated for various criteria. The object-oriented programming framework that underlies the dynamic MFA may be integrated with network analysis, agent-based simulation, and geospatial interfaces, which may lay the foundation for modeling more fine-grained material flows and supply chain structures.
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contributor author | Deng, Sidi | |
contributor author | Zhu, Yongxian | |
contributor author | Cooper, Daniel R. | |
contributor author | Sutherland, John W. | |
date accessioned | 2025-04-21T10:25:37Z | |
date available | 2025-04-21T10:25:37Z | |
date copyright | 9/11/2024 12:00:00 AM | |
date issued | 2024 | |
identifier issn | 1087-1357 | |
identifier other | manu_146_11_110904.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4306169 | |
description abstract | Aluminum is the world's second most consumed metal, and its production contributes substantially to global greenhouse gas (GHG) emissions. When formulating decarbonization strategies, it is imperative to ensure their coherence and alignment with existing industrial practices and standards. A material flow analysis (MFA) is needed to gain a holistic and quantitative understanding of the flows and stocks of products/materials associated with all participants within the supply chain. To support risk-informed decision policymaking in decarbonizing aluminum manufacturing, this study develops a dynamic system model that maps global aluminum flows and computes their embedded GHG emissions. A baseline scenario is devised to reflect the current business and operation landscape, and three decarbonization strategies are proposed. Deterministic simulation is performed to generate dynamic material flows and performance metrics. Monte Carlo simulation is then implemented to evaluate the robustness of the system's performance under demand uncertainties. The results reveal the immense carbon implications of material efficiency, as well as the preponderant role of post-consumer scrap recycling in decarbonizing aluminum manufacturing. Informed by simulation outputs, macro decarbonization guidelines are formulated for various criteria. The object-oriented programming framework that underlies the dynamic MFA may be integrated with network analysis, agent-based simulation, and geospatial interfaces, which may lay the foundation for modeling more fine-grained material flows and supply chain structures. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | A Dynamic Material Flow Model for Risk-Informed Decision-Making in Decarbonizing Global Aluminum Manufacturing | |
type | Journal Paper | |
journal volume | 146 | |
journal issue | 11 | |
journal title | Journal of Manufacturing Science and Engineering | |
identifier doi | 10.1115/1.4065695 | |
journal fristpage | 110904-1 | |
journal lastpage | 110904-10 | |
page | 10 | |
tree | Journal of Manufacturing Science and Engineering:;2024:;volume( 146 ):;issue: 011 | |
contenttype | Fulltext |