Digitally Enabled Multi-Criteria Decision Making For Energy Efficiency Projects

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

Digitally Enabled Multi-Criteria Decision Making For Energy Efficiency Projects. / Schlar, Daniel; Posch, Wolfgang.
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 proceedingConference contribution

Harvard

Schlar, D & Posch, W 2024, Digitally Enabled Multi-Criteria Decision Making For Energy Efficiency Projects. in D Herberger & M Hübner (eds), Proceedings of the Conference on Production Systems and Logistics : CPSL 2024. pp. 539-551, Conference on Production Systems and Logistics 2024, Mānoa Honolulu, Hawaii, United States, 9/07/24. https://doi.org/10.15488/17742

APA

Schlar, D., & Posch, W. (2024). Digitally Enabled Multi-Criteria Decision Making For Energy Efficiency Projects. In D. Herberger, & M. Hübner (Eds.), Proceedings of the Conference on Production Systems and Logistics : CPSL 2024 (pp. 539-551) https://doi.org/10.15488/17742

Vancouver

Schlar D, Posch W. Digitally Enabled Multi-Criteria Decision Making For Energy Efficiency Projects. In Herberger D, Hübner M, editors, Proceedings of the Conference on Production Systems and Logistics : CPSL 2024. 2024. p. 539-551 doi: 10.15488/17742

Author

Schlar, Daniel ; Posch, Wolfgang. / Digitally Enabled Multi-Criteria Decision Making For Energy Efficiency Projects. Proceedings of the Conference on Production Systems and Logistics : CPSL 2024. editor / David Herberger ; Marco Hübner. 2024. pp. 539-551

Bibtex - Download

@inproceedings{0b7e5681110046b58678fa7835143fd7,
title = "Digitally Enabled Multi-Criteria Decision Making For Energy Efficiency Projects",
abstract = "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.",
keywords = "Digitalization, Energy Efficiency, Project Portfolio Optimization, Multi-Criteria Decision Making, Digital Tools",
author = "Daniel Schlar and Wolfgang Posch",
year = "2024",
doi = "10.15488/17742",
language = "English",
pages = "539--551",
editor = "David Herberger and Marco H{\"u}bner",
booktitle = "Proceedings of the Conference on Production Systems and Logistics : CPSL 2024",
note = "Conference on Production Systems and Logistics 2024, CPSL 2024 ; Conference date: 09-07-2024 Through 12-07-2024",
url = "http://www.cpsl-conference.com",

}

RIS (suitable for import to EndNote) - Download

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 -