Article
Management
Shuguang Lin, Hai-Liu Shi, Ying-Ming Wang
Summary: This paper introduces a mixed-binary linear program model for handling zero and negative input and output values. The model is units invariant, addressing the limitations of other models, and has been validated on several data sets.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2022)
Review
Management
Camila Guimaraes Monteiro de Freitas Alves, Lidia Angulo Meza
Summary: This paper presents a literature review on network models in data envelopment analysis (DEA) with a focus on the slack-based network model called slacks-based measure-network data envelopment analysis (SBM-NDEA). A total of 97 publications from 2009 to 2021 were identified in an international database search. The publications were subjected to descriptive analysis, mapping the evolution of the literature, organizing articles into categories, and identifying the main methodological references for the models and applications used. The most frequently used models and their characteristics, as well as the analysis of applications, were described. Sectors and countries with the highest number of applications were also identified. The review indicates an increasing number of network studies using the SBM-NDEA in recent years. Finally, future research directions in SBM-NDEA are suggested.
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH
(2023)
Article
Environmental Studies
Xiang Chen, Xuping Zhang, Xin Wu, Ching-Cheng Lu
Summary: The study emphasized the importance of afforested area in environmental protection, revealing that energy efficiency is higher than afforested efficiency, which is the main reason for low overall efficiency. Effective measures are needed to control the emissions of pollutants and gradually increase afforested area in most provinces.
ENERGY & ENVIRONMENT
(2022)
Article
Green & Sustainable Science & Technology
Joohwan Kim, Hwayoung Kim
Summary: Safety is crucial for the sustainable management of a coastal ferry service business, and an efficiency strategy should balance safety and transport performance to improve relative transport efficiency. This study evaluated coastal ferry operators' transport efficiency through undesirable safety-related output and found that using a three-stage network SBM model can improve the differentiation of firms' transport efficiency compared to a model that did not consider the internal production stage.
Article
Public, Environmental & Occupational Health
Shen Zhong, Shuqi Liang, Yuxin Zhong, Yunying Zheng, Fengjun Wang
Summary: This paper estimates the innovation efficiency of China's pharmaceutical manufacturing industry in 23 provinces from 2010 to 2020, based on the super-network SBM model and Global-Malmquist index. The results show that there is an increasing trend in the efficiency of both the research and development stage and the economic transformation stage, with the western region showing the most prominent growth.
FRONTIERS IN PUBLIC HEALTH
(2022)
Article
Business
Qian Wang, Shuming Ren
Summary: This paper calculates the green technology innovation efficiency of 30 provinces in China from 2012 to 2019 using slacks-based dynamic network data envelopment analysis. The findings reveal spatial dependence, regional disparities, and temporal fluctuations in efficiency scores. The results provide valuable insights for policymakers to improve green technology innovation efficiency.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Management
Hsuan-Shih Lee
Summary: In this paper, a linear programming model that integrates SBM and Super-SBM is proposed, which can identify the efficiency of the inefficient DMUs and the super-efficiency of the efficient DMUs simultaneously in one stage. Results show that the proposed model is faster than the model by Tran et al., with a computation time of about two-thirds shorter.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2021)
Article
Automation & Control Systems
Xiaoqing Chen, Xinwang Liu, Qun Wu, Muhammet Deveci, Luis Martinez
Summary: As an important leading industry in China's economy, the high-tech industry requires systematic analysis of technological innovation activities to measure technological innovation efficiency and promote sustainable development. This study proposes an interval type-2 fuzzy evaluation method to assess the efficiency of China's high-tech industry, considering the uncertainty of qualitative information. The proposed model combines the super-efficiency slack-based measure (SBM)-Data envelopment analysis (DEA) method with interval type-2 fuzzy sets to handle undesirable outputs and rank multiple efficient decision-making units.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Environmental Sciences
Yuxin Gai, Yuanbo Qiao, Huijing Deng, Yutao Wang
Summary: This study evaluates the eco-efficiency of China's textile industry at both the firm level and the sub-sector level. The results show an upward trend in eco-efficiency for the industry as a whole, but significant disparities are observed among different sub-sectors. Factors such as economic scale, export delivery value, foreign direct investment, and environmental regulation are found to influence the eco-efficiency of the industry.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Computer Science, Interdisciplinary Applications
Qiwei Xie, Yuanchang Zhu, Haichao Shang, Yongjun Li
Summary: The study proposed algorithms based on two convex hull algorithms to create a novel variation of the SBM-Max model mentioned by Tone (2016), making it easily applicable to different problems and effectively improving the performance of inefficient decision-making units.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Green & Sustainable Science & Technology
Tingting Wu, Junjun Chen, Chengchun Shi, Guidi Yang
Summary: This study combines the Slacks-Based Measure with Data Envelopment Analysis (SBM-DEA) and the Malmquist index to analyze the carbon emission efficiency in Fujian Province during the period 2015-2020. The results show that the carbon emission efficiency of the nine cities in the province has improved overall, but there is still room for further improvement. The study also reveals a positive correlation between the secondary industry and fossil energy consumption and power consumption, indicating that the growth of the secondary industry may lower the carbon emission efficiency.
Article
Computer Science, Artificial Intelligence
Mohammad Tavassoli, Reza Farzipoor Saen
Summary: This paper introduces a novel non-radial network data envelopment analysis model for assessing the performance of railways with sustainability considerations. The study identifies the focus areas for improving sustainability, including technical efficiency and technical effectiveness.
APPLIED INTELLIGENCE
(2022)
Article
Operations Research & Management Science
Javad Gerami, Mohammad Reza Mozaffari, P. F. Wanke, Henrique Correa
Summary: This paper introduces a new model that combines key ideas from the SBM and DEA-R models to evaluate production frontiers based on efficiency and super-efficiency scores. It provides a detailed derivation of the new model and reexamines a case study of medical centers in Taiwan to demonstrate its validity within the current literature framework. Limitations and future research directions are also discussed.
OPERATIONAL RESEARCH
(2022)
Article
Energy & Fuels
Zile Zheng
Summary: This paper analyzes the energy efficiency of 23 cities by evaluating Total Factor Energy Efficiency (TFEE). The results show significant differences in TFEE changes among regions, with cities like Harbin, Shanghai, and Changsha showing an upward trend while Chengdu, Chongqing, and others have minor changes. Inadequate resource allocation and lack of technological innovation are the main reasons for the decline in Total Factor Productivity (TFP).
Article
Green & Sustainable Science & Technology
Yufeng Chen, Siyuan Cheng, Zhitao Zhu
Summary: This paper explores the efficiency issues of Chinese airlines using the NSBM approach, revealing that all airlines perform well in terms of economic profits but face challenges in production efficiency. The energy efficiency of Chinese airlines is consistent with CO2 emission efficiency, with low-cost airlines demonstrating the best economic and environmental performance.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Management
I. Contreras, S. Lozano, M. A. Hinojosa
Summary: The paper introduces a new method based on bargaining problems and the Kalai-Smorodinsky solution to discriminate between optimal weighting profiles, addressing the non-uniqueness issue in cross-efficiency evaluation.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2021)
Article
Operations Research & Management Science
Ester Gutierrez, Sebastian Lozano
Summary: This paper assesses the relative efficiency of the forest sector in 28 EU/EFTA countries during the period 2010-2015 using DEA, and identifies factors that influence efficiency. The results can provide guidance for roundwood production.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Mathematics, Applied
Manuel Arana-Jimenez, M. Carmen Sanchez-Gil, Sebastian Lozano
Summary: This paper discusses the problem of efficiency assessment using Data Envelopment Analysis (DEA) when the input and output data are given as fuzzy sets. The authors propose a fuzzy extension of the measure of inefficiency proportions and provide fuzzy input and output targets.
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
(2022)
Article
Management
Narges Soltani, Zijiang Yang, Sebastian Lozano
Summary: This paper introduces a new DEA ranking method based on multi-directional efficiency measure (MEM) that considers all improvement directions without relying on specific ones for ranking. The method can rank both efficient and inefficient units without prior information requirements. The proposed approach is compared with three other state-of-the-art rankings using a real-life dataset.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2022)
Article
Operations Research & Management Science
Laura Calzada-Infante, Sebastian Lozano
Summary: This paper extends the DN analysis method to input and output data involving multiple time periods. The proposed TDN includes OUs from each time period and is visualized using various filters and node layouts. Network metrics are used to evaluate the efficiency of OUs in different periods and the corresponding productivity change.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Management
Sebastian Lozano, Somayeh Khezri
Summary: This study proposes a new approach for evaluating the efficiency of decision-making units with interval data, introducing a potential-based measure of efficiency. The methodology is demonstrated using a dataset related to the performance of branches of an insurance company in Iran and compared with existing methods.
IMA JOURNAL OF MANAGEMENT MATHEMATICS
(2023)
Article
Mathematics, Applied
Manuel Arana-Jimenez, M. Carmen Sanchez-Gil, Sebastian Lozano, Atefeh Younesi
Summary: This paper studies the efficiency assessment of Decision Making Units (DMUs) with fuzzy sets as inputs and outputs. It proposes a fuzzy enhanced Russell graph measure using polygonal fuzzy sets and LU-fuzzy partial orders. Compared with other fuzzy DEA approaches, the proposed method shows greater discriminant power and flexibility in modeling the input and output data.
COMPUTATIONAL & APPLIED MATHEMATICS
(2022)
Article
Economics
I Contreras, S. Lozano
Summary: This paper thoroughly analyzes the Spanish public university system in order to maximize efficiency. It assesses the current technical and size efficiency of different universities and identifies those that should be split. It also evaluates the potential gains from mergers of universities within each Spanish region, and reallocates transferable resources between universities within each region to achieve significant efficiency improvement and optimal sector structure.
SOCIO-ECONOMIC PLANNING SCIENCES
(2022)
Article
Operations Research & Management Science
Mehdi Soltanifar, Farhad Hosseinzadeh Lotfi, Hamid Sharafi, Sebastian Lozano
Summary: This paper addresses the importance of resource allocation and target setting in the strategic management process of an organization. It proposes a new approach for resource allocation and target setting using multiplier data envelopment analysis (DEA) models and common set of weights (CSW). The innovative use of CSW and multi objective optimization in this approach is consistent with the centralized decision making nature of the problem. The validity and usefulness of the proposed CSW-DEA models are demonstrated using different datasets.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Computer Science, Interdisciplinary Applications
R. Rodriguez-Alarcon, S. Lozano
Summary: This paper uses complex network analysis to analyze the structure of a whole river basin and proposes various metrics to measure different characteristics of the network. A new centrality index based on environmental impact is applied to identify key nodes for contamination propagation. The application of this method to the Guadalquivir River basin in Southern Spain validates its effectiveness and reveals the scale-free nature of the network.
JOURNAL OF HYDROINFORMATICS
(2022)
Article
Hospitality, Leisure, Sport & Tourism
Julio Lozano-Ramirez, Manuel Arana-Jimenez, Sebastian Lozano
Summary: This study evaluates the sustainability efficiency of tourism in 27 countries in the European Union from 2015 to 2019 using data analysis envelopment methodology and various economic, social, and environmental indicators. The results provide valuable information on sustainable tourism practices and support the challenging task of rebuilding the sector and resuming the pre-pandemic trend of increasing tourism sustainability.
CURRENT ISSUES IN TOURISM
(2023)
Article
Economics
Sebastian Lozano, Ignacio Contreras
Summary: This paper introduces a new approach of using Data Envelopment Analysis (DEA) in a centralised setting, which adopts a global system-wide perspective in resource allocation and target setting and is more effective than other approaches.
SOCIO-ECONOMIC PLANNING SCIENCES
(2022)
Article
Operations Research & Management Science
Sebastian Lozano, Gabriel Villa
Summary: This paper introduces a multi-objective fixed-sum output (FSO) approach that considers factors such as the total number of medals awarded. The approach aims to set all output targets as close as possible to their ideal values. A secondary goal of minimizing the sum of absolute changes in the number of medals is also considered. The proposed approach has been applied to the results of the Tokyo 2020 Olympic Games and compared with FSO and non-FSO DEA methods.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Management
Sebastian Lozano
Summary: This paper presents a model that combines fixed-sum DEA technology with bargaining methods to deal with input or output variables with fixed total amounts. By computing the Nash bargaining solution and using an enhanced efficiency measure, efficient analysis for all units is achieved.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2023)
Article
Engineering, Industrial
Belarmino Adenso-Diaz, Sebastian Lozano
Summary: This paper presents a DEA approach to assess the efficiency of company's shipments and haulers. It benchmarks shipments first against all shipments of the same hauler and then against all shipments of all haulers. The efficiency of each shipment and hauler can be determined. The proposed approach is useful to assess price quotes and negotiate better prices.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE-OPERATIONS & LOGISTICS
(2023)
Article
Computer Science, Interdisciplinary Applications
Xiaolin Wang, Liyi Zhan, Yong Zhang, Teng Fei, Ming-Lang Tseng
Summary: This study proposes an environmental cold chain logistics distribution center location model to reduce transportation costs and carbon emissions. It also introduces a hybrid arithmetic whale optimization algorithm to overcome the limitations of the conventional algorithm.
COMPUTERS & INDUSTRIAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Hong-yu Liu, Shou-feng Ji, Yuan-yuan Ji
Summary: This study proposes an architecture that utilizes Ethereum to investigate the production-inventory-delivery problem in Physical Internet (PI), and develops an iterative heuristic algorithm that outperforms other algorithms. However, due to gas prices and consumption, blockchain technology may not always be the optimal solution.
COMPUTERS & INDUSTRIAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Paraskevi Th. Zacharia, Elias K. Xidias, Andreas C. Nearchou
Summary: This article discusses the assembly line balancing problem in production lines with collaborative robots. Collaborative robots have the potential to improve automation, productivity, accuracy, and flexibility in manufacturing. The article explores the use of a problem-specific metaheuristic to solve this complex problem under uncertainty.
COMPUTERS & INDUSTRIAL ENGINEERING
(2024)
