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Article
Engineering, Industrial
Mahipal Singh et al.
Summary: This study focuses on the analyze phase of Lean Six Sigma (LSS) project and prioritizes the critical to quality (CTQ) in a specific industry using a multi-criteria decision-making approach. The study finds that cost is the most significant criterion and identifies a critical issue in the assembly section. The results are validated and implemented by industry managers and production heads.
INTERNATIONAL JOURNAL OF LEAN SIX SIGMA
(2023)
Article
Computer Science, Information Systems
Ze-hui Chen et al.
Summary: China has made remarkable progress in containing COVID-19, providing favorable conditions for the gradual resumption of normal life. However, there are still risks due to rising infections in other countries and sporadic cases in China. Therefore, it is important to develop techniques to assess the risk of resumption.
INFORMATION SCIENCES
(2023)
Article
Computer Science, Artificial Intelligence
Omid Rostami et al.
Summary: Researchers have introduced the concept of a viable supply chain and developed a decision-making framework to address supplier selection problems in the medical devices industry. By incorporating elements of viability and using novel methods to compute indicators' weights and prioritize alternatives, this research provides important theoretical and practical implications for supply chain management.
Article
Environmental Sciences
Ali Akbar Forouzesh Nejad
Summary: This study investigates the supplier selection problem in the context of the medical devices industry, considering leagile, sustainability, and Industry 4.0 indicators. The study provides a list of criteria and sub-criteria based on literature and expert opinions, and measures the importance of the indicators using a specific method. The results show that agility and sustainability are the most important criteria.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Computer Science, Artificial Intelligence
Sina Nayeri et al.
Summary: This study develops a decision-making framework to investigate the impact of responsive Supply Chain 5.0 on healthcare systems. Indicators and strategies are identified, and a new method is used to compute weights and rank feasible alternatives. The results indicate the importance of responsiveness, sustainability, resilience, and human-centricity, as well as high service level, cost reduction, recovery, and safety. The study also compares the proposed method with traditional methods and introduces the concept of Industry 5.0 in the SC problem.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
AliAkbar ForouzeshNejad
Summary: This study provides a hybrid data-driven framework for selecting investment projects in the telecommunication industry. By reviewing the theoretical literature and surveys of experts, project evaluation criteria through sustainability paradigm as well as strategic issues are identified. The performance of each project is determined separately for each year using data envelopment analysis (DEA), and then evaluated with machine learning algorithms such as random forest and support vector regressors.
Article
Green & Sustainable Science & Technology
Morteza Noruzi et al.
Summary: The railway network design problem is a critical issue in transportation due to its significance and variety of applications. This research proposes a novel robust bi-objective mixed-integer linear programming (MILP) model to minimize cost and environmental impact under uncertainty. The proposed model addresses strategic and operational decisions through railway project selection and product flow determination. A nondominated sorting genetic algorithm (NSGA-II) is employed to handle the complexity of the problem and find near-optimal solutions in a reasonable time.
Article
Business, Finance
Husam Jasim Mohammed
Summary: This paper introduces the concept and techniques of multi-criteria decision-making under a fuzzy environment in the prioritization and selection of projects in portfolio management. The results demonstrate the importance of measuring criteria weights in fuzzy TOPSIS technique for ranking and selecting projects.
JOURNAL OF SUSTAINABLE FINANCE & INVESTMENT
(2023)
Article
Computer Science, Information Systems
Lukas Jurik et al.
Summary: Any activity of an industrial enterprise will have impacts on the economy, society, and environment. The focus of the current business goal is to generate and maximize profits. However, the 2030 Agenda for Sustainable Development emphasizes the need to consider how profits are generated and their impact on society and the environment. Decision-making in industrial enterprises is a multi-criteria process, and exact methods, such as the Analytical Hierarchical Process, can be applied to support sustainable decision-making. Studies have shown that managers often rely on subjective reasoning or intuition when making complex decisions. This article presents the application of the Analytical Hierarchical Process in the decision-making process for selecting production projects based on sustainable development criteria.
Article
Computer Science, Artificial Intelligence
Ze-hui Chen et al.
Summary: This paper introduces an efficiency-based multi-criteria group decision making method for selecting makeshift hospital sites, combining different methods to determine weights and rank alternatives in a fuzzy environment. Several solutions to key issues in the development of the method are proposed, and a model for measuring TrIT2F efficiencies is established. The study showcases the effectiveness and advantages of the proposed method through a site selection case and comparative analyses.
APPLIED SOFT COMPUTING
(2022)
Article
Green & Sustainable Science & Technology
Erfan Babaee Tirkolaee et al.
Summary: This study develops a mathematical model to design a sustainable mask Closed-Loop Supply Chain Network (CLSCN) during the COVID-19 outbreak. A multi-objective Mixed-Integer Linear Programming (MILP) model is proposed to address various decisions within a multi-period multi-echelon multi-product supply chain. Sustainable development is considered by minimizing the total cost, total pollution, and total human risk. Two algorithms, MOGWO and NSGA-II, are used to solve the model and find Pareto optimal solutions. The results show that MOGWO performs better in terms of dispersion and solution quality. A real case study and sensitivity analyses are conducted to validate the model. Practical implications and managerial insights are discussed.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Green & Sustainable Science & Technology
Danish Farooq et al.
Summary: The use of Pythagorean fuzzy sets allows for the evaluation and handling of human behavior in order to improve road safety. The study found that "lapses" were identified as the most critical factor for road safety, while "disobeying speed limits" was the least critical factor.
Article
Economics
Nitidetch Koohathongsumrit et al.
Summary: This study presents an integrated FAHP-ZODP approach for selecting strategic marketing information system projects, supporting decision makers in dealing with conflicting attributes, ensuring effective decision making with an understanding of the marketing environment, and assisting project management under certain and uncertain environments.
MANAGERIAL AND DECISION ECONOMICS
(2022)
Article
Computer Science, Artificial Intelligence
Erfan Babaee Tirkolaee et al.
Summary: Nowadays, healthcare waste management has become an important environmental, health, and social issue. This study proposes a novel decision support system that integrates various methods to address the landfill location selection problem for healthcare waste. The system considers factors such as waste generation rate, potential events, and uncertainty in experts' opinion. A real case study in Iran demonstrates the feasibility and efficiency of the proposed methodology.
APPLIED INTELLIGENCE
(2022)
Article
Computer Science, Artificial Intelligence
Shuping Wan et al.
Summary: This article presents a new intuitionistic fuzzy BWM (IFBWM) method for multicriteria decision-making. The article formulates the derivation of optimal IF weights as an IF decision-making problem and constructs mathematical programming models. It also investigates the process of improving the consistency. Several examples are provided to demonstrate the effectiveness of the proposed IFBWM.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Management
Libiao Bai et al.
Summary: The study develops a systematic assessment model to analyze and optimize project portfolio benefits, identifying four subsystems of PPBs by innovatively considering synergies among different project components. By synthesizing internal and inter-subsystem relationships, a system dynamics model is developed to assess PPBs dynamically. The model is exploitable in academia and practice.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2022)
Proceedings Paper
Computer Science, Information Systems
Nicole Santos et al.
Summary: This study proposes an alternative model for project prioritization and analyzes projects based on a multicriteria approach using the THOR method, aiming to achieve organizational strategic objectives.
8TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT (ITQM 2020 & 2021): DEVELOPING GLOBAL DIGITAL ECONOMY AFTER COVID-19
(2022)
Article
Computer Science, Information Systems
Jiuying Dong et al.
Summary: This paper introduces a new fuzzy best-worst method based on triangular fuzzy numbers for multi-criteria decision-making. Mathematical programming models are constructed to derive optimal fuzzy weights of criteria and four linear programming models are proposed for different types of decision makers. The concept of fuzzy consistency index and ratio are also proposed and validated through application examples.
INFORMATION SCIENCES
(2021)
Article
Green & Sustainable Science & Technology
Witold Torbacki
Summary: This article discusses the modeling and support of decision-making processes in the development direction of sustainable transport systems in metropolitan areas. The global COVID-19 pandemic has impacted public transport and policymakers need to address the new phenomena hindering the development of sustainable transport in urban areas.
Article
Computer Science, Information Systems
Shuping Wan et al.
Summary: This paper introduces a GITrF BWM method based on GITrFNs for MCDM, aiming to enhance decision consistency and effectiveness through techniques such as normalized weight vectors and consistency ratios.
INFORMATION SCIENCES
(2021)
Article
Green & Sustainable Science & Technology
Svetla Stoilova et al.
Summary: This study presents a methodology for assessing railway operator policies using SWOT criteria and SIMUS method, applied to the Bulgarian railway network. It analyzes three different railway operation policies and determines the best strategy based on strengths, weaknesses, opportunities and threats criteria, with A3 strategy found to be the most optimal.
Article
Mathematics
Erfan Babaee Tirkolaee et al.
Summary: As competition intensifies, organizations aim to offer products at lower prices and higher quality, requiring consideration of environmental criteria in supplier selection. The study evaluates and rates suppliers using multi-criteria decision-making techniques, then uses multi-objective mixed-integer linear programming to determine optimal order quantities for each supplier.
Article
Mathematics
Gholamreza Haseli et al.
Summary: The study introduces a novel group decision-making method G-BWM based on the Best-Worst Method (BWM) for complex multi-criteria decision-making issues. Through examination and discussion of two numerical examples, the performance of G-BWM in achieving democratic decision making in a large group of decision makers is demonstrated.
Article
Computer Science, Artificial Intelligence
Amin Mahmoudi et al.
Summary: This study offers a decision-making framework based on big data, utilizing MCDM methods and various algorithms for data processing and ranking. The approach is flexible and the results are reliable.
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
(2021)
Article
Management
Mehmet Ferhat Candas et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2020)
Article
Computer Science, Artificial Intelligence
Veysel Coban
COMPLEX & INTELLIGENT SYSTEMS
(2020)
Article
Computer Science, Interdisciplinary Applications
M. Abdel-Baset et al.
COMPUTERS IN INDUSTRY
(2019)
Article
Computer Science, Artificial Intelligence
Alireza Komeili Birjandi et al.
Article
Computer Science, Artificial Intelligence
Mohamed Abdel-Basset et al.
COGNITIVE SYSTEMS RESEARCH
(2019)
Article
Management
Vahid Mohagheghi et al.
INTERNATIONAL JOURNAL OF STRATEGIC PROPERTY MANAGEMENT
(2019)
Article
Green & Sustainable Science & Technology
Ming Tang et al.
Article
Computer Science, Artificial Intelligence
Sen Guo et al.
KNOWLEDGE-BASED SYSTEMS
(2017)
Article
Management
Jafar Rezaei
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2016)
Article
Economics
M. Zhalechian et al.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2016)
Article
Management
Amir Hossein Ghapanchi et al.
INTERNATIONAL JOURNAL OF PROJECT MANAGEMENT
(2012)
