Article
Computer Science, Artificial Intelligence
Ruiyue Lin, Chong Tu
Summary: This study extends the cross-efficiency evaluation for series and parallel structures using the directional distance function (DDF). The system cross-efficiency score can be broken down into a weighted average of process cross-efficiency scores in this new approach.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Management
Ruiyue Lin, Qian Liu
Summary: This paper extends the multiplier dynamic DEA by using directional distance function (DDF), proposing a non-oriented model able to handle negative data and calculate overall efficiency score as well as unique efficiency score for each period in a dynamic system. Empirical results show its strong ability to discriminate performance and good practice value in portfolio selection.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Management
Aliasghar Arabmaldar, Biresh K. Sahoo, Mojtaba Ghiyasi
Summary: In this study, an equivalent DDF model is proposed and a robust optimization approach is used to develop a generalized robust-DDF measure of efficiency. The results show that the proportional direction exhibits the lowest price of robustness and is therefore the most appropriate for measuring potential efficiency improvement. Furthermore, the increasing efficiency trend in the life insurance industry confirms the evidence of increased work intensity due to competition resulting from insurance reforms, supporting the competition and X-efficiency hypothesis.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Junfei Chu, Fangqing Wei, Jie Wu, Zhe Yuan
Summary: This paper introduces a new approach for selecting a common projection direction for performance evaluation of decision-making units using DEA directional distance function. By defining the concept of directional extensibility and proposing a model to identify the common projection direction with maximum directional extensibility, the paper addresses the issue of zero elements in the common projection direction. An algorithm is developed to strike a balance between directional extensibility and element similarity in selecting the final common projection direction.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Public, Environmental & Occupational Health
Baojie Guo, Jianghua Zhang, Xuemei Fu
Summary: The study reveals that the unified healthcare efficiency in eastern China is generally higher than in non-eastern regions, and the overall healthcare efficiency has been increasing annually during the study period, with technological progress driving the increase in the eastern region and a catch-up effect driving the increase in non-eastern regions.
FRONTIERS IN PUBLIC HEALTH
(2022)
Article
Energy & Fuels
Mohadeseh Shabani, Sohrab Kordrostami, Monireh Jahani Sayyad Noveiri
Summary: This study evaluates the performance of renewable energy for 34 OECD member countries using the Fuzzy Dynamic Directional Distance Function model. The results show that this approach has a strong capability to discriminate the performance of renewable energy.
Article
Environmental Sciences
Aman Kumar, Arvind Mittal, Ashis Kumar Pradhan
Summary: This study examines the determinants of energy intensity in Indian manufacturing firms and proposes measures to reduce it. The findings show that certain factors have a significant positive impact on energy intensity, while the results for other factors are mixed. RMPMI is identified as the most dominant factor driving energy intensity in Indian manufacturing firms.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Management
Madjid Tavana, Mohammad Izadikhah, Mehdi Toloo, Razieh Roostaee
Summary: This study introduces a new extended non-radial directional distance model to address negative data and uses flexible measures to handle the unknown status of performance measures. The efficacy of the proposed models is demonstrated through a case study in the automotive industry.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2021)
Article
Management
Ruiyue Lin, Qian Liu
Summary: The paper introduces a multiplier network directional distance function (DDF) model capable of handling negative data, which can be decomposed into a weighted average of process efficiency scores. The model is applicable under the assumptions of variable returns to scale (VRS) and constant returns to scale (CRS), and can address possible alternate process efficiencies.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2022)
Article
Management
Fangqing Wei, Xiaoqi Zhang, Jiayun Song, Feng Yang
Summary: This study evaluates the efficiency of healthcare services in 31 provincial administrative regions of mainland China using SMAA-2 and a directional distance function. The findings show that only seven provinces achieve optimal healthcare service efficiency, with the eastern area performing the best. The study also provides a path to help inefficient provinces improve their efficiency and attain the best possible positions.
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH
(2023)
Article
Development Studies
Aparajita Singh, Haripriya Gundimeda
Summary: This study measures the environmental efficiency of the Indian leather industry and finds potential for increasing leather production and reducing pollution. It confirms that regulations can improve environmental efficiency of firms, but also impose opportunity costs on firms. The study suggests using cleaner technology and market-based instruments to enhance environmental efficiency.
JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT
(2021)
Article
Management
Miguel Alves Pereira, Ana Santos Camanho, Jose Rui Figueira, Rui Cunha Marques
Summary: Understanding the complexity and diversity of handling large amounts of data in complex systems is crucial for continuous improvement in institutions. Composite indicators serve as aggregators of key performance indicators reflecting multidimensional performance aspects, with some constructed using data envelopment analysis.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Thermodynamics
Xiangyu Teng, Fan-peng Liu, Tzu-han Chang, Yung-ho Chiu
Summary: The study shows that with the improvement of forest carbon sequestration, the technology gap between different regions in China is narrowing, and it also reveals the room for improvement in forest carbon sequestration for provinces in China.
Article
Chemistry, Physical
Xiangyu Teng, Weiwei Zhuang, Fan-peng Liu, Yung -ho Chiu
Summary: This study introduces the Carbon Emission Reduction Capacity (CERC) by wind and solar power as a new output variable to evaluate China's energy efficiency. Provinces in northwest China with high proportions of wind and solar power exhibit better energy performance, while some provinces in the east and central regions have room for improvement.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Economics
Rachita Gulati, Vincent Charles, M. Kabir Hassan, Sunil Kumar
Summary: The study aims to determine the resilience of Indian banks to the COVID-19 pandemic. Using a two-stage directional distance function-based network data envelopment analysis (DDF-NDEA) approach, the study examines the banks' deposits-generating and operating efficiencies and compares them before, during, and after the pandemic. The findings suggest that the Indian banking system showed resilience to the immediate impact of COVID-19, although large and medium-sized banks experienced some efficiency losses. Overall, banks, regardless of ownership and size, demonstrated resilience and improved efficiency in response to the global health crisis.
SOCIO-ECONOMIC PLANNING SCIENCES
(2023)
Review
Management
Vinicius N. Motta, Miguel F. Anjos, Michel Gendreau
Summary: This survey presents a review of optimization approaches for the integration of demand response in power systems planning and highlights important future research directions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Philipp Schulze, Armin Scholl, Rico Walter
Summary: This paper proposes an improved branch-and-bound algorithm, R-SALSA, for solving the simple assembly line balancing problem, which performs well in balancing workloads and providing initial solutions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Roshan Mahes, Michel Mandjes, Marko Boon, Peter Taylor
Summary: This paper discusses appointment scheduling and presents a phase-type-based approach to handle variations in service times. Numerical experiments with dynamic scheduling demonstrate the benefits of rescheduling.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Oleg S. Pianykh, Sebastian Perez, Chengzhao Richard Zhang
Summary: Efficient scheduling is crucial for optimizing resource allocation and system performance. This study focuses on critical utilization and efficient scheduling in discrete scheduling systems, and compares the results with classical queueing theory.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Review
Management
Hamed Jahani, Babak Abbasi, Jiuh-Biing Sheu, Walid Klibi
Summary: Supply chain network design is a large and growing area of research. This study comprehensively surveys and analyzes articles published from 2008 to 2021 to detect and report financial perspectives in SCND models. The study also identifies research gaps and offers future research directions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Patrick Healy, Nicolas Jozefowiez, Pierre Laroche, Franc Marchetti, Sebastien Martin, Zsuzsanna Roka
Summary: The Connected Max-k-Cut Problem is an extension of the well-known Max-Cut Problem, where the objective is to partition a graph into k connected subgraphs by maximizing the cost of inter-partition edges. The researchers propose a new integer linear program and a branch-and-cut algorithm for this problem, and also use graph isomorphism to structure the instances and facilitate their resolution. Extensive computational experiments show that, if k > 2, their approach outperforms existing algorithms in terms of quality.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Victor J. Espana, Juan Aparicio, Xavier Barber, Miriam Esteve
Summary: This paper introduces a new methodology based on the machine learning technique MARS for estimating production functions that satisfy classical production theory axioms. The new approach overcomes the overfitting problem of DEA through generalized cross-validation and demonstrates better performance in reducing mean squared error and bias compared to DEA and C2NLS methods.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Stefano Nasini, Rabia Nessah
Summary: In this paper, the authors investigate the impact of time flexibility in job scheduling, showing that it can significantly affect operators' ability to solve the problem efficiently. They propose a new methodology based on convex quadratic programming approaches that allows for optimal solutions in large-scale instances.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Zhiqiang Liao, Sheng Dai, Timo Kuosmanen
Summary: Nonparametric regression subject to convexity or concavity constraints is gaining popularity in various fields. The conventional convex regression method often suffers from overfitting and outliers. This paper proposes the convex support vector regression method to address these issues and demonstrates its advantages in prediction accuracy and robustness through numerical experiments.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Kuo-Hao Chang, Ying-Zheng Wu, Wen-Ray Su, Lee-Yaw Lin
Summary: The damage and destruction caused by earthquakes necessitates the evacuation of affected populations. Simulation models, such as the Stochastic Pedestrian Cell Transmission Model (SPCTM), can be utilized to enhance disaster and evacuation management. The analysis of SPCTM provides insights for government officials to formulate effective evacuation strategies.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Qinghua Wu, Mu He, Jin-Kao Hao, Yongliang Lu
Summary: This paper studies a variant of the orienteering problem known as the clustered orienteering problem. In this problem, customers are grouped into clusters and a profit is associated with each cluster, collected only when all customers in the cluster are served. The proposed evolutionary algorithm, incorporating a backbone-based crossover operator and a destroy-and-repair mutation operator, outperforms existing algorithms on benchmark instances and sets new records on some instances. It also demonstrates scalability on large instances and has shown superiority over three state-of-the-art COP algorithms. The algorithm is also successfully applied to a dynamic version of the COP considering stochastic travel time.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Bjorn Bokelmann, Stefan Lessmann
Summary: Estimating treatment effects is an important task for data analysts, and uplift models provide support for efficient allocation of treatments. However, evaluating uplift models is challenging due to variance issues. This paper theoretically analyzes the variance of uplift evaluation metrics, proposes variance reduction methods based on statistical adjustment, and demonstrates their benefits on simulated and real-world data.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Congzheng Liu, Wenqi Zhu
Summary: This paper proposes a feature-based non-parametric approach to minimizing the conditional value-at-risk in the newsvendor problem. The method is able to handle both linear and nonlinear profits without prior knowledge of the demand distribution. Results from numerical and real-life experiments demonstrate the robustness and effectiveness of the approach.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Laszlo Csato
Summary: This paper compares the performance of the eigenvalue method and the row geometric mean as two weighting procedures. Through numerical experiments, it is found that the priorities derived from the two eigenvectors in the eigenvalue method do not always agree, while the row geometric mean serves as a compromise between them.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)
Article
Management
Guowei Dou, Tsan-Ming Choi
Summary: This study investigates the impact of channel relationships between manufacturers on government policies and explores the effectiveness of positive incentives versus taxes in increasing social welfare. The findings suggest that competition may be more effective in improving sustainability and social welfare. Additionally, government incentives for green technology may not necessarily enhance sustainability.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2024)