Article
Engineering, Environmental
Fei Wang, Swee Pin Yeap
Summary: Uncontrolled release of dyes from industrial effluents has caused significant environmental pollution, highlighting the need for effective strategies to remove dye molecules. Fe3O4 nanoparticles and other magneto-adsorbents have shown promising dye adsorption efficiency, but systematic comparison is needed to select the most suitable adsorbent for industrial implementation.
JOURNAL OF WATER PROCESS ENGINEERING
(2021)
Article
Mathematics
Marcos Antonio Alves, Ivan Reinaldo Meneghini, Antonio Gaspar-Cunha, Frederico Gadelha Guimaraes
Summary: This paper presents an interactive method that uses online learning to address the cognitive load issue in large-scale decision problems. The methodology involves a machine learning algorithm that learns the decision maker's preferences through evaluations of small subsets of solutions, resulting in significant time and cognitive effort savings. Experimental results demonstrate the effectiveness of the proposed method.
Article
Green & Sustainable Science & Technology
Pasura Aungkulanon, Walailak Atthirawong, Pongchanun Luangpaiboon
Summary: In response to the climate crisis in urban areas caused by the logistics sector, governments around the world are encouraging the adoption of electric vehicles (EVs) to reduce pollution, fossil fuel use, and improve air quality. However, the adoption of EVs varies across markets. This study uses the FAHP to rank barriers to EV adoption in Thailand, with infrastructure policy being the biggest barrier. Insufficient charging infrastructure, lack of government support, and high capital cost are key barriers. Decision-making systems are developed to assist executives in addressing these barriers and formulating market strategies.
Article
Operations Research & Management Science
Madjid Tavana, Mehdi Soltanifar, Francisco J. Santos-Arteaga
Summary: The Analytical Hierarchy Process (AHP) is a reliable method for multi-criteria decision-making, but faces challenges such as complexity in pairwise comparisons and consistency limitations. By introducing hybrid methods that combine AHP with popular weighting methods, efficiency and acceptability can be improved.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Biodiversity Conservation
M. Hamidah, I. Mohd Hasmadi, L. S. L. Chua, W. S. Y. Yong, K. H. Lau, I Faridah-Hanum, H. Z. Pakhriazad
Summary: This study proposes a methodology using MCDM-AHP for assessing the criterion weights of Malaysian IPA. The weights were determined through questionnaire surveys and the study found that threatened habitats, threatened species, endemism, and botanical richness are the most important criteria.
GLOBAL ECOLOGY AND CONSERVATION
(2022)
Article
Multidisciplinary Sciences
Chintaman Santosh Bari, Ashish Dhamaniya, Satish Chandra
Summary: This study used the analytical hierarchy process (AHP) to assess the criteria affecting the service performance of tollbooth operators, and found that operator's capability and training are the most important factors.
Article
Instruments & Instrumentation
Sung-Lin Hsueh, Yue Sun, Mingyao Gao, Xuxin Hu, Teen-Hang Meen
Summary: Landscape design education requires multidisciplinary teaching to educate students to be landscape designers with professional skills, professional practice, and interdisciplinary collaboration abilities.
SENSORS AND MATERIALS
(2022)
Article
Computer Science, Information Systems
Hsiao-Wei Hu, Yen-Liang Chen, Jia-Yu Hong
Summary: Attribute-oriented induction (AOI) is a method developed for mining generalized knowledge in relational databases by summarizing input data into a small relation containing generalized tuples. Existing research has not yet focused on noise elimination, but to address this gap, two noise-free AOI algorithms have been developed to enhance result specificity.
INFORMATION SCIENCES
(2021)
Article
Automation & Control Systems
Yangjingjing Zhang, Xia Chen, Witold Pedrycz, Yucheng Dong
Summary: This article discusses the minimum cost consensus problem in social network group decision making (SNGDM) by incorporating utility constraints based on altruism. Altruism in SNGDM is reflected as individuals taking into account both their personal utility and the utilities of others connected to them to form their total utility. The proposed model measures the deviation of opinion adjustment as a perceived psychological distance and explores the effects of altruistic behavior and psychological distance on consensus reaching results through simulation studies and comparative analysis. Numerical studies are also provided to validate the performance of the proposed model, including an illustrative example and an application in energy-saving target formulation using real-world social network data.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Yating Liu, Yao Li, Zhen Zhang, Yi Xu, Yucheng Dong
Summary: This paper investigates the classification-based multiple attribute decision making (MADM) problem and the strategic weight manipulation. By constructing mixed linear programming models, the classification range of alternatives and the strategic attribute weights are analyzed. Moreover, some existence conditions for the strategic attribute weights are provided. Finally, numerical example and simulation experiments are conducted to verify the effectiveness and defending performance of the proposed models.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Environmental Sciences
Priyanka Yadav, Sudeep Yadav, Dhananjay Singh, Rimika Madan Kapoor, Balendu Shekher Giri
Summary: Recent developments in biogas upgradation have created new opportunities for its utilization, but the implementation of upgradation technologies is still not at the required scale. A multicriteria decision-making methodology, such as AHP, is necessary to select the most appropriate technology, considering the benefits and drawbacks of each option. This study applied AHP and found that water scrubbing and membrane separation technologies ranked first and second among the alternatives.
Article
Computer Science, Artificial Intelligence
Zhaohui Qi, Hui Li, Kai Zhang, Jianhua Dai
Summary: In recent years, an increasing number of researchers have focused on how to leverage limited information to make more reasonable decisions, thereby reducing the decision-making risk for decision-makers. Three-way decision, as a method for risky decision-making, offers a new approach to address this challenge and has gained significant attention. This paper proposes a novel three-way utility decision model oriented to attribute fuzzy concept in multi-attribute environments, based on the utility theory.
APPLIED SOFT COMPUTING
(2023)
Article
Chemistry, Multidisciplinary
Italo Linhares Salomao, Placido Rogerio Pinheiro
Summary: This paper introduces a multicriteria method to assist in selecting the most suitable structural system for slabs based on project needs and objectives. The study used the Analytic Hierarchy Process (AHP) and information from bibliographic research, expert opinion, and machine learning to determine the priority of different slab types. The analysis showed that the conventional solid slab type was the top priority, followed by other options.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Hardware & Architecture
Entesar Hosseini, Mohsen Nickray, Shamsollah Ghanbari
Summary: This paper proposes a scheduling algorithm based on Priority Queue, Fuzzy and Analytical Hierarchy Process for multi-criteria task scheduling in mobile fog computing. Experimental results show that the proposed algorithm achieves better results in multiple criteria.
Article
Engineering, Civil
Homayoun Motiee, Reza Khalili, Behrooz Gholami, Soroush Motiee
Summary: This paper explores the use of AHP and GIS to identify the optimal route for a pressurized water transmission line. Economic, environmental, social, and technical criteria are considered in the decision-making process. AHP is used to weight these criteria, and GIS is employed to overlay and analyze the weighted layers, ultimately determining the most cost-effective path among available options.
WATER RESOURCES MANAGEMENT
(2023)
Article
Green & Sustainable Science & Technology
Ulla A. Saari, Saku J. Makinen, Rupert J. Baumgartner, Bas Hillebrand, Paul H. Driessen
JOURNAL OF CLEANER PRODUCTION
(2020)
Article
Engineering, Environmental
Claudia Mair-Bauernfeind, Martina Zimek, Raphael Asada, Daniel Bauernfeind, Rupert J. Baumgartner, Tobias Stern
INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT
(2020)
Review
Engineering, Environmental
Claudia Mair-Bauernfeind, Martina Zimek, Miriam Lettner, Franziska Hesser, Rupert J. Baumgartner, Tobias Stern
INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT
(2020)
Article
Engineering, Mechanical
Hamza Bouchouireb, Merle-Hendrikje Jank, Ciaran J. O'Reilly, Peter Goransson, Josef-Peter Schoeggl, Rupert J. Baumgartner, Jose Potting
Summary: This study introduced an end-of-life (EOL) model into the life cycle energy optimization (LCEO) methodology to consider the energy burdens and credits stemming from a vehicle's EOL processing phase. The optimal designs of vehicle subsystems were found to be significantly influenced by different EOL scenarios, with recycling scenarios leading to lighter and less energy-demanding solutions compared to landfilling or incineration.
JOURNAL OF MECHANICAL DESIGN
(2021)
Review
Engineering, Environmental
Josef-Peter Schoeggl, Lukas Stumpf, Rupert J. Baumgartner
RESOURCES CONSERVATION AND RECYCLING
(2020)
Article
Engineering, Environmental
U. Diwekar, A. Amekudzi-Kennedy, B. Bakshi, R. Baumgartner, R. Boumans, P. Burger, H. Cabezas, M. Egler, J. Farley, B. Fath, T. Gleason, Y. Huang, A. Karunanithi, V Khanna, A. Mangan, A. L. Mayer, R. Mukherjee, G. Mullally, V Rico-Ramirez, D. Shonnard, M. Svanstrom, T. Theis
Summary: This study presents perspectives on the role of uncertainty in managing the Earth for global sustainability, derived from talks and discussions at the 2019 TARDIS workshop. It discusses four types of uncertainties encountered in sustainability, ranging from clear enough futures to true surprises, as well as the current state-of-the-art in assessing and mitigating these uncertainties.
RESOURCES CONSERVATION AND RECYCLING
(2021)
Review
Green & Sustainable Science & Technology
Tomas Santa-Maria, Walter J. V. Vermeulen, Rupert J. Baumgartner
Summary: This research aims to map and frame the field of Circular Business Model Innovation (CBMI), assess the current state of research, propose a future research agenda, and explore relevant elements of CBMI process in practice through a literature and multiple case study approach. It integrates Sustainable BMI literature, identifies under-researched topics and offers valuable empirical insights to further integrate CBMI with the conventional BMI field.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2021)
Article
Green & Sustainable Science & Technology
Anna Diaz, Josef-Peter Schoggl, Tatiana Reyes, Rupert J. Baumgartner
Summary: This study aims to investigate the implications of R-strategy adoption for decision-making in sustainable product development. Through a combination of literature review and in-depth interviews, the research explores new directions to align existing processes with circular economy principles in product development.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2021)
Article
Green & Sustainable Science & Technology
Lukas Stumpf, Josef-Peter Schoggl, Rupert J. Baumgartner
Summary: The study investigates the translation of circular economy theory into organizational practice, identifying barriers faced by companies in transitioning towards a more circular economy. Results show sectoral differences in implementation of circular economy principles, with distinct clusters focused on design, take-back management, and recycling. Barriers include regulatory challenges and lack of standardization, governmental enforcement, and harmonization of EU legislation.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Business
Tomas Santa-Maria, Walter J. V. Vermeulen, Rupert J. Baumgartner
Summary: This study explores how incumbent firms can innovate in rapidly changing environments through dynamic capabilities, focusing on circular business model innovation. By investigating 10 companies implementing circular business model innovation, the study identifies 33 practices for successful innovation, including adopting a lifecycle perspective and sustainability-oriented tools. Recommendations are provided for long-term business model transformations, short and medium loops of the circular economy, and coordination in the business ecosystem.
BUSINESS STRATEGY AND THE ENVIRONMENT
(2022)
Article
Green & Sustainable Science & Technology
Katharina Berger, Josef-Peter Schoeggl, Rupert J. Baumgartner
Summary: This paper presents the concept of digital battery passports (DBPs) for supporting sustainable and circular battery value chains. It outlines the information requirements for DBPs and presents potential use cases. The paper contributes to scientific debate, provides a guide for developing digital product passports, and helps policymakers and practitioners implement DBPs.
JOURNAL OF CLEANER PRODUCTION
(2022)
Review
Business
Magdalena Rusch, Josef-Peter Schoeggl, Rupert J. Baumgartner
Summary: This paper aims to provide a comprehensive overview of current and potential examples of digital technology applications in sustainable product management. The potential of digital technologies in terms of their usability along the product life cycle, their role as enablers for circular economy strategies, and in specific SPM activities are revealed through quantitative and qualitative analysis. There is room for more radical improvements in digital technology application, as most examples only show incremental improvements.
BUSINESS STRATEGY AND THE ENVIRONMENT
(2023)
Article
Green & Sustainable Science & Technology
Tomas Santa-Maria, Walter J. V. Vermeulen, Rupert J. Baumgartner
Summary: The study developed a design thinking-based framework called the "Circular Sprint" to guide the early development of sustainable and circular business models. Embedding sustainability and business model innovation within a design thinking process is challenging but feasible, providing a flexible framework and set of context-adaptable activities to support innovators and practitioners in circular business model innovation.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Business
Josef-Peter Schoeggl, Lukas Stumpf, Rupert J. Baumgartner
Summary: This study investigates the impact of interorganizational collaboration practices and new digital technologies on a firm's circular economy practices and outcomes. The results show that interorganizational collaboration has a positive effect on sustainability and circular economy practices, while digital technologies and general dynamic capabilities do not. However, the use of digital technologies positively affects interorganizational collaboration. The study also finds a positive impact of circular economy implementation on firm-level sustainability and economic performance.
BUSINESS STRATEGY AND THE ENVIRONMENT
(2023)
Review
Green & Sustainable Science & Technology
Pamela McElwee, Esther Turnout, Mireille Chiroleu-Assouline, Jennifer Clapp, Cindy Isenhour, Tim Jackson, Eszter Kelemen, Daniel C. Miller, Graciela Rusch, Joachim H. Spangenberg, Anthony Waldron, Rupert J. Baumgartner, Brent Bleys, Michael W. Howard, Eric Mungatana, Hien Ngo, Irene Ring, Rui Santos