Digitally Enabled Multi-Criteria Decision Making For Energy Efficiency Projects
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Proceedings of the Conference on Production Systems and Logistics : CPSL 2024. ed. / David Herberger; Marco Hübner. 2024. p. 539-551.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - Digitally Enabled Multi-Criteria Decision Making For Energy Efficiency Projects
AU - Schlar, Daniel
AU - Posch, Wolfgang
PY - 2024
Y1 - 2024
N2 - Multi-criteria decision-making (MCDM) is a complex process that evaluates and prioritizes options based on multiple criteria, often involving conflicting objectives. In energy efficiency projects, MCDM can be applied to balance cost, environmental impact, and energy savings, enabling more informed and sustainable choices. For portfolio optimization, it assists in selecting a mix of projects that maximize returns while managing risk and resource constraints. Essential for implementing MCDM are digital tools like data analytics and decision support systems.The paper's theoretical framework examines the relationship between project portfolio optimization and MCDM, enabling a comprehensive project evaluation based on cost, risk, environmental impact, and energy efficiency. This approach is particularly appropriate for energy efficiency projects with specific requirements such as sustainability, long-term cost savings, and compliance with environmental regulations. Digital tools facilitate this process by providing advanced data analytics and decision support, which is crucial forbalancing these complex, often conflicting criteria. This synergy between portfolio optimization and MCDM, especially in energy efficiency, emphasizes the theoretical model's practical relevance and applicability.In the empirical section of the study, we test our theoretical considerations by analyzing case studies from platforms like SCOPUS. These cases can provide concrete evidence of how MCDM, coupled with digital tools, effectively optimizes project portfolios, especially in energy efficiency projects. The analysis of diverse real-world scenarios demonstrates the practical effectiveness of MCDM in meeting specific project requirements and realizing strategic portfolio goals.In conclusion, this paper aims to bridge the theoretical and empirical realms, demonstrating the effectiveness of MCDM in project portfolio optimization, particularly for energy efficiency projects. The theoretical framework, emphasizing the synergy between MCDM and digital tools, is supported by the empirical evidence from case studies, highlighting MCDM's pivotal role in guiding strategic decisions and optimizing portfolios to meet both efficiency and sustainability goals.
AB - Multi-criteria decision-making (MCDM) is a complex process that evaluates and prioritizes options based on multiple criteria, often involving conflicting objectives. In energy efficiency projects, MCDM can be applied to balance cost, environmental impact, and energy savings, enabling more informed and sustainable choices. For portfolio optimization, it assists in selecting a mix of projects that maximize returns while managing risk and resource constraints. Essential for implementing MCDM are digital tools like data analytics and decision support systems.The paper's theoretical framework examines the relationship between project portfolio optimization and MCDM, enabling a comprehensive project evaluation based on cost, risk, environmental impact, and energy efficiency. This approach is particularly appropriate for energy efficiency projects with specific requirements such as sustainability, long-term cost savings, and compliance with environmental regulations. Digital tools facilitate this process by providing advanced data analytics and decision support, which is crucial forbalancing these complex, often conflicting criteria. This synergy between portfolio optimization and MCDM, especially in energy efficiency, emphasizes the theoretical model's practical relevance and applicability.In the empirical section of the study, we test our theoretical considerations by analyzing case studies from platforms like SCOPUS. These cases can provide concrete evidence of how MCDM, coupled with digital tools, effectively optimizes project portfolios, especially in energy efficiency projects. The analysis of diverse real-world scenarios demonstrates the practical effectiveness of MCDM in meeting specific project requirements and realizing strategic portfolio goals.In conclusion, this paper aims to bridge the theoretical and empirical realms, demonstrating the effectiveness of MCDM in project portfolio optimization, particularly for energy efficiency projects. The theoretical framework, emphasizing the synergy between MCDM and digital tools, is supported by the empirical evidence from case studies, highlighting MCDM's pivotal role in guiding strategic decisions and optimizing portfolios to meet both efficiency and sustainability goals.
KW - Digitalization
KW - Energy Efficiency
KW - Project Portfolio Optimization
KW - Multi-Criteria Decision Making
KW - Digital Tools
U2 - 10.15488/17742
DO - 10.15488/17742
M3 - Conference contribution
SP - 539
EP - 551
BT - Proceedings of the Conference on Production Systems and Logistics : CPSL 2024
A2 - Herberger, David
A2 - Hübner, Marco
T2 - Conference on Production Systems and Logistics 2024
Y2 - 9 July 2024 through 12 July 2024
ER -