Article
Engineering, Industrial
Fang Zhou, Ting-Yu Chen
Summary: Green supplier selection is a crucial issue in the field of green supply chain management and has gained global attention. Existing methodological models have some shortcomings that need to be improved, such as the use of high-order fuzzy uncertainty and incompatible designed criteria. This study proposes a hybrid approach that combines AHP, TOPSIS, and LAM under PF uncertainty to assess candidate suppliers. The presented approach provides a better methodological framework for decision support and contributes to the competitiveness of microenterprises and the long-term development of society.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2023)
Article
Environmental Sciences
Fatemeh Alamroshan, Mahyar La'li, Mohsen Yahyaei
Summary: The research addresses the supplier selection problem in the supply chain management area, focusing on green and agile aspects. A hybrid fuzzy decision-making approach is developed using FDEMATEL, FBWM, FANP, and FVIKOR methods, with a case study in the medical devices industry. The study finds that price and greenness are crucial factors in supplier selection, along with material costs, environmental performance evaluation, manufacture flexibility, service level, and system reliability.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Mathematics
Jui-Fang Chang, Chao-Jung Lai, Chia-Nan Wang, Ming-Hsien Hsueh, Van Thanh Nguyen
Summary: Choosing a supplier is a complex decision-making process that can be supported by using multicriteria decision-making models. This paper presents an integrated mathematical model under a fuzzy environment and applies it to the supplier selection process in the garment industry. The study results show that supplier 08 is the optimal supplier, and this approach can also be applied to support complex decision-making processes in different industries.
Article
Green & Sustainable Science & Technology
Mohit Verma, Prabhat Ranjan Prem, Peijia Ren, Huchang Liao, Zeshui Xu
Summary: This paper presents a methodology for green supplier selection that considers both qualitative and quantitative criteria, using thermodynamic features such as energy, exergy and entropy. The main advantage of this method is that it takes into account the quality of ratings assigned by experts. It is not only effective in green supplier selection, but also useful for resource allocation and scheduling of supplier training programs.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2022)
Article
Mathematics
Jiekun Song, Xueli Leng, Zhicheng Liu
Summary: Environmental protection and sustainable development are consensus among all countries. Choosing green suppliers has become crucial for companies to consider environmental impact. In this study, a sequential group three-way decision-making (TWDM) method is proposed to support green supplier selection by constructing an evaluation system and using multiple-attribute sequential group TWDM method.
Article
Management
Peter Bogetoft, Jesper Wittrup
Summary: This paper discusses establishing a reliable case weighting system in the judiciary system using a benefit-of-the-doubt (BoD) approach, allowing for uncertain weights based on partial information. This method helps to make weight setting easier, less disputable, and eliminates limitations of the traditional weighted caseload approach.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2021)
Article
Public, Environmental & Occupational Health
Jeffrey M. Keisler, Igor Linkov
Summary: Recent guidelines for risk-informed decision making provide a standard for incorporating probabilistic risk models with other considerations, but quantifying risk is difficult when threats, vulnerabilities, and consequences are highly uncertain. Decision making informed by risk (DMIR) can be used as a flexible approach that combines risk and decision analytics. Multi-criteria decision analysis (MCDA) is commonly used as a basis for DMIR to accommodate varying levels of analytical detail.
Article
Economics
C. O. Henriques, M. C. Gouveia
Summary: This paper uses Value-Based Data Envelopment Analysis (VBDEA) to assess the impact of the COVID-19 pandemic on the efficiency of 37 state-owned enterprises (SOE) hospitals in Portugal. The study finds that the majority of SOE hospitals experienced negative productivity and negative technological change, highlighting the significant impact of the COVID-19 outbreak. Additionally, inefficient hospitals in 2020 had increased resources compared to 2019, suggesting that their inefficiency was not due to resource limitations.
SOCIO-ECONOMIC PLANNING SCIENCES
(2022)
Article
Mathematics, Interdisciplinary Applications
Marzieh Ghasemi, Mohammad Reza Mozaffari, Farhad Hosseinzadeh Lotfi, Mohsen Rostamy Malkhalifeh, Mohammad Hasan Behzadi
Summary: Data envelopment analysis (DEA) is a mathematical programming technique used to evaluate the efficiency of similar decision-making units (DMUs). Researchers have paid significant attention to fixed resource allocation and target setting using DEA.
Article
Computer Science, Artificial Intelligence
Sajad Kazemi, Reza Kiani Mavi, Ali Emrouznejad, Neda Kiani Mavi
Summary: This study aims to address non-homogeneous decision-making units in complex organizations through clustering techniques for further efficiency analysis. It proposes a common set of weights model to develop an identical weight vector for all decision-making units.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Zaoli Yang, Tingting Zhang, Salman Ahmad, Shivam Gupta
Summary: This paper proposes a multicriteria group decision-making method based on an interaction and feedback mechanism and q-rung orthopair fuzzy sets theory. The method addresses the challenges of changing supplier selection criteria and differences among decision-makers. Using a real-life case study, the results show that the proposed method can help enterprises choose suitable suppliers by considering both the differences among decision-makers and the dynamic changes of supplier selection criteria.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2022)
Article
Automation & Control Systems
Peide Liu, Shyi-Ming Chen, Guolin Tang
Summary: This paper proposes two novel MCDM methods, introduces some new operational laws of 2DULVs and four operators capturing criteria interactions, establishes models to obtain criteria weights, and explains the methods through examples, with comparative experimental results highlighting the superiorities of the approaches.
IEEE TRANSACTIONS ON CYBERNETICS
(2021)
Article
Environmental Sciences
Romulus Costache, Quoc Bao Pham, Alireza Arabameri, Daniel Constantin Diaconu, Iulia Costache, Anca Craciun, Nicu Ciobotaru, Manish Pandey, Aman Arora, Sk Ajim Ali, Binh Thai Pham, Hoang Nguyen, Hoang Anh Tuan, Mohammadtaghi Avand
Summary: This study proposed and calculated a new flash-flood propagation susceptibility index (FFPSI) by evaluating the Flash-Flood Potential Index (FFPI) using various models. LR-WOE and AHP-WOE were the most performant models, with all models showing good performance (AUC > 0.85). The FFPSI was determined by integrating the FFPI results, revealing that over 55% of the identified valleys have high and very high values of FFPSI.
GEOCARTO INTERNATIONAL
(2022)
Article
Operations Research & Management Science
Hamid Kiaei, Reza Kazemi Matin
Summary: DEA analysis aims to evaluate production units under optimal conditions, but flexibility in weight selection may lead to unrealistic results. Treating decision units as a network process can help identify inefficiencies more effectively. This paper introduces a new method for efficiency evaluation and investigates improved models to address multi-objective problems.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Agronomy
Itzel Inti Maria Donati, Davide Viaggi, Zorica Srdjevic, Bojan Srdjevic, Antonella Di Fonzo, Teresa Del Giudice, Orlando Cimino, Andrea Martelli, Anna Dalla Marta, Roberto Henke, Filiberto Altobelli
Summary: This study investigates the opinions of farmers from Italy, Poland, the Netherlands, and Spain on five criteria aimed at improving irrigation advisory services. Economic sustainability was found to be the most important criterion according to the preferences expressed by the stakeholders.
Article
Operations Research & Management Science
Imre Dobos, Gyongyi Vorosmarty
Summary: Supplier evaluation is crucial in DEA, where negative data can be handled using additive models. This paper focuses on supplier ranking with cross-efficiency, incorporating negative data into the model and comparing it with traditional DEA models. A supplier-evaluation example is provided to demonstrate the methodology.
CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH
(2021)
Article
Information Science & Library Science
Banhidi Zoltan, Madina Tokmergenova, Dobos Imre
Summary: This paper benchmarks the digital development of Russia against the European Union countries using the International Digital Economy and Society Index (I-DESI). The study reveals that Russia's digital development path differs from its EU counterparts due to its unique geographic and economic characteristics.
INFORMACIOS TARSADALOM
(2022)
Article
Economics
Andrea Gelei, Imre Dobos
Summary: This study examines how trust in inter-organisational relationships changes over time using situation-specific and dyadic data. Four trust-related concepts are defined, encompassing both behavioral and perceptual aspects. The hypothesis that the behavioral consistency of the trustee influences the trustworthiness as perceived by the trustor is also developed. A finite dynamic trust game is specified to test this hypothesis.
Article
Operations Research & Management Science
Imre Dobos, Gyongyi Vorosmarty
Summary: The selection of input and output items is important for successful application of DEA, and this paper addresses the question of data transformation required for efficiency analyses using DEA. Different methods for data transformation may lead to different results, biasing the decisions. This paper aims to provide guidance and compare results through an example of supplier evaluation.
CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH
(2023)
Article
Management
Andrea Gelei, Imre Dobos
Summary: The paper aims to provide a conceptualization and an aligned game-theoretic operationalization of the dynamic coopetitive managerial decision-making process. The proposed two-step sequential game combines existing game theoretical constructs in a unique way, allowing for explicit evaluation of the performance implications of coopetitive decisions. Additionally, the paper highlights the importance of managerial attributes in managing such decisions and emphasizes the potential for behavioral experiments to further explore these attributes.
REVIEW OF MANAGERIAL SCIENCE
(2023)
Article
Operations Research & Management Science
Zoltan Banhidi, Imre Dobos
Summary: The European Commission's Digital Economy and Social Index (DESI) is a composite index that measures the digital transformation in the EU and its member states. This study uses the TOPSIS method to rank the member states based on objective weights instead of the Commission's predefined weights. The aim is to evaluate the robustness of the ranking and its sensitivity to normalization and weighting methods.
CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH
(2023)
Article
Economics
Imre Dobos, Peter Sasvari
Summary: Research background: This paper aims to compare the performance of economic researchers in Austria, Romania, and the Visegrad 4 countries (Czech Republic, Hungary, Poland, and Slovakia) using indicators from Scopus and SciVal databases. The study defines an economic researcher using database indicators and focuses on the statistical properties of these indicators and the grouping of researchers from different countries. The paper's purpose is to present key indicators, group researchers, and compare publication performance. The study uses principal component analysis, multicollinearity analysis, and correlation analysis. The findings show that Austrian economic researchers perform the best.
STATISTIKA-STATISTICS AND ECONOMY JOURNAL
(2023)
Article
Economics
Janka Ariella Tarjani, Noemi Kallo, Imre Dobos
Summary: This study aims to answer several questions through further analysis of I-DESI data using multivariate statistical methods, including the differences between EU and non-EU countries, the overlapping dimensions of the I-DESI index, and the formation of different country groups. The results of this study can provide a useful tool for companies to achieve more successful digital transformation.
STATISTIKA-STATISTICS AND ECONOMY JOURNAL
(2023)
Article
Business, Finance
Imre Dobos, Peter Halmai, Peter Sasvari
Summary: Only some of the Sections of the Hungarian Academy of Sciences (HAS) compile a list of journals. One of these is the IX Section of Economics and Law of the MTA. The section(sic)s doctoral committees evaluate candidates for the title of Doctor of the Academy of Sciences on the basis of eight lists of journals. The lists are generally stable in the sense that they remain unchanged for about five years, but renewal of the lists becomes necessary from time to time. In this publication, we describe the process of renewing the list of journals of the Qualification Committee for Doctoral Candidates in Economics and Management, Section IX of the Academy of Sciences, from the method of compiling the list of journals to the statistical methods used to determine the A, B, C, and D.
PUBLIC FINANCE QUARTERLY-HUNGARY
(2023)
Article
Communication
Imre Dobos, Peter Sasvari, Anna Urbanovics
Summary: The use of international university rankings is an important way to evaluate higher education systems and institutions. This study compares the QS ranking with rankings derived from Scopus/SciVal database and finds strong similarity. The study also identifies the top-ten ranked countries, mainly smaller Western European countries and two city-states from the Far East.
KOME-AN INTERNATIONAL JOURNAL OF PURE COMMUNICATION INQUIRY
(2022)
Article
Economics
M. Tokmergenova, Z. Banhidi, I Dobos
Summary: This paper examines the relationship between Russia's development and that of other EU countries using the International Digital Economy and Social Index (I-DESI) and multivariate statistical analysis tools. The results show that Russia is classified as a moderately developed country in terms of digital development, but its unique characteristics place it in a separate group from moderately developed EU countries.
VESTNIK SANKT-PETERBURGSKOGO UNIVERSITETA-EKONOMIKA-ST PETERSBURG UNIVERSITY JOURNAL OF ECONOMIC STUDIES
(2021)
Article
Geography
Imre Dobos, Gabor Michalko, Peter Sasvari
Summary: This study examines the publication performance of economics and management researchers in the Visegrad 4 countries and Romania based on their publications in the Scopus database. Through multivariate statistical analyses, the relationships among the seven variables characterizing researchers' publication activity are explored, highlighting the excellence criteria and ranking position of researchers in these countries.
REGIONAL STATISTICS
(2021)
Article
Economics
Imre Dobos, Gyongyi Vorosmarty
Summary: This paper proposes a solution to the supplier selection and lot-sizing decisions problems using Data Envelopment Analysis and linear programming, with two phases of model application and a numerical example provided for theoretical support.
MANAGERIAL AND DECISION ECONOMICS
(2021)
Article
Engineering, Industrial
Hiroshi Matsuhisa, Nobuo Matsubayashi
Summary: This study investigates the formation of an alliance between competing manufacturers and a monopolistic platform retailer, and analyzes the impact of the degree of differentiation among manufacturers on the formation of the alliance and the profitability of the retailer.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Lingxuan Kong, Ge Zheng, Alexandra Brintrup
Summary: Supply Chain Financing is used to optimize cash flows in supply networks, but recent scandals have shown inefficiencies in risk evaluation. This paper proposes a Federated Learning framework to address order-level risk evaluation.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Jing Gu, Xinyu Shi, Junyao Wang, Xun Xu
Summary: The asymmetric market power between a firm and its partners negatively affects the firm's financial performance. Building relationships with suppliers or customers that have matched market power is the best approach. The strength of the buyer-supplier relationship amplifies the negative impact of asymmetric market power, while the level of relationship embeddedness reduces its negative effect. Moreover, firm-specific institutional, industry, and regional economic heterogeneities also influence the financial impact of asymmetric market power.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Yu Du, Jun-qing Li
Summary: This study investigates the group scheduling of a distributed flexible job shop problem using the concrete precast process. The proposed solution utilizes three coordinated double deep Q-networks (DQN) as a learn-to-improve reinforcement learning approach. The algorithm shows superiority in minimizing costs and energy consumption.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Xiaoyu Yan, Weihua Liu, Ou Tang, Jiahe Hou
Summary: This study analyzes the market amplification effect and the impact of entrant's overconfidence on a two-sided platform. The results show that overconfident entrants can lead to price increases and benefit both the existing firms and themselves to a certain extent.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Illya Kaynov, Marijn van Knippenberg, Vlado Menkovski, Albert van Breemen, Willem van Jaarsveld
Summary: The One-Warehouse Multi-Retailer (OWMR) system is a typical distribution and inventory system. Previous research has focused on heuristic reordering and allocation strategies, which are time-consuming and problem-specific. This paper proposes a Deep Reinforcement Learning (DRL) algorithm for OWMR problems, which infers a multi-discrete action distribution and improves performance with a random rationing policy.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Yimeng Sun, Ruozhen Qiu, Minghe Sun
Summary: This study considers a multi-period inventory management problem for a retailer offering limited-time discounts and having a joint service-level requirement under demand uncertainty. It proposes a double-layer iterative approach to solve the problem and maximize total profit while balancing the service level using a posteriori method and an affinely adjustable robust chance-constrained model.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Anas Neumann, Adnene Hajji, Monia Rekik, Robert Pellerin
Summary: This paper presents a new mathematical formulation for planning and scheduling activities of Engineer-To-Order (ETO) projects, along with a new ETO strategy to reduce the impacts of design uncertainty. The study proposes a hybrid Layered Genetic Algorithm combined with an adaptive Lamarckian learning process (LLGA) and compares it with the branch-and-cut procedure of CPLEX. The results show good performance of the proposed mathematical model for small and medium-sized instances.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Thilini Ranasinghe, Chanaka D. Senanayake, Eric H. Grosse
Summary: Production systems are undergoing transformative changes, necessitating adaptability from human workers. This study developed an analytical model to account for stochastic processing times and learning heterogeneity, revealing insights into system performance.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Sunil Tiwari, Pankaj Sharma, Ashish Kumar Jha
Summary: Black Swan events such as the COVID-19 pandemic and the Suez Canal blockage have a significant impact on firms' technology adoption decisions, especially in terms of disruptions and digitalization in the supply chains. This study investigates the influence of institutional forces and environmental contingencies on supply chain digitalization from an institutional and contingency theory perspective. The findings emphasize the importance of organizational readiness and people readiness, including top management involvement and employee training, in facilitating digitalization.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Fabio Neves-Moreira, Pedro Amorim
Summary: Omnichannel retailers are using stores as distribution centers to provide faster online order fulfillment services. However, in-store picking operations can impact the offline customer experience. To address this, we propose a Dynamic In-store Picker Routing Problem (diPRP) that minimizes customer encounters while fulfilling online orders. Our solution approach combines mathematical programming and reinforcement learning to find efficient picking policies that reduce customer encounters.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Article
Engineering, Industrial
Richard Kraude, Ram Narasimhan
Summary: In this study, the relationship between Vertical Integration (VI) and Environmental Performance (EP) is examined, revealing that highly integrated firms produce less waste but engage in fewer environmental initiatives. These findings are crucial for understanding the impact of stakeholder exposure on organizational behavior.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
Review
Engineering, Industrial
Korina Katsaliaki, Sameer Kumar, Vasilis Loulos
Summary: This research conducts a systematic literature review (SLR) and content analysis on Supply Chain Coopetition (SCC) through the PRISMA framework. It examines the theory of coopetition and organizational relationships in intra-firm and inter-firm supply chains, focusing on collaboration between rival manufacturers. The study identifies structures and mechanisms of coopetition, such as buyer-supplier coopetition, supply networks coopetition, and production and distribution/logistics coopetition. It provides a holistic approach to SCC management practices and serves as a guide for future research.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2024)
