Article
Economics
Hashem Omrani, Ali Emrouznejad, Meisam Shamsi, Pegah Fahimi
Summary: This paper extends the two-stage NDEA model with negative data and undesirable outputs. An alternative linear model based on goal programming technique is proposed to avoid complex non-linear calculations. A method is used to transform negative data into positive and undesirable outputs into desirable ones.
SOCIO-ECONOMIC PLANNING SCIENCES
(2022)
Article
Operations Research & Management Science
Sabri Boubaker, Duc Trung Do, Helmi Hammami, Kim Cuong Ly
Summary: This paper examines the efficiency differences between banks affiliated with single-bank holding companies and those affiliated with multi-bank holding companies. The results suggest that banks affiliated with multi-bank holding companies are more efficient, possibly due to their ability to utilize the resources of their parent companies. The study also finds that banks with powerful CEOs exhibit lower efficiency, and there is an inverted U-shaped relationship between multi-bank holding company structure and bank efficiency.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Operations Research & Management Science
Amal Mekhilef, Mustapha Moulai, Wassila Drici
Summary: This paper presents an exact algorithm for solving a multi-objective integer indefinite quadratic fractional maximization problem, which optimizes one of the objective functions in the original feasible region iteratively by introducing auxiliary constraints to reduce non-efficient solutions. The theoretical results and numerical experiments confirm the effectiveness of this new exact method.
ANNALS OF OPERATIONS RESEARCH
(2021)
Article
Operations Research & Management Science
Atefeh Taghavi, Reza Ghanbari, Khatere Ghorbani-Moghadam, Alireza Davoodi, Ali Emrouznejad
Summary: This paper proposes a new model for solving the bus terminal location problem, combining data envelopment analysis and multi-objective programming approach, using a genetic algorithm to find efficient station terminal allocation patterns, optimizing spatial efficiency and terminal service efficiency.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Management
Mushtaq Taleb, Ruzelan Khalid, Razamin Ramli, Mohammad Reza Ghasemi, Joshua Ignatius
Summary: This paper proposes a bi-objective DEA model that takes into account undesirable factors and mixed integer requirements to address input excesses and output shortfalls. By integrating these factors and requirements into the objective function and constraints, the model is able to maximize both input reduction and output augmentation projections simultaneously.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Management
Gabriele Eichfelder, Leo Warnow
Summary: A central goal of multi-objective optimization problems is to compute the nondominated sets. A solution to this problem is to compute an enclosure of the nondominated set, using local upper bounds. This paper presents a generalization of this concept, allowing for a warm start strategy and the removal of empty areas in the enclosure. The new framework improves the box approximation algorithm and demonstrates faster computational speed in selected numerical instances.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Operations Research & Management Science
Prerna Kushwah, Vikas Sharma
Summary: This paper discusses an algorithm for solving multi-objective quadratic programming problems with integer variables. The algorithm can find all efficient solutions and has high efficiency in solving large-scale problems.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Operations Research & Management Science
Jianhui Xie, Qiwei Xie, Yongjun Li, Liang Liang
Summary: The study revealed the hidden mathematical structures of sum-of-fractional DEA efficiencies models and proposed corresponding discretization strategies to make the models more easily solvable. By converting them into bilinear programming, then relaxing to mixed-integer linear programming, the proposed method ultimately searches for the global optimal solution through MILP algorithm and its effectiveness is verified through numerical applications.
ANNALS OF OPERATIONS RESEARCH
(2021)
Article
Engineering, Chemical
Chung-Fu Huang, Wei-Ting Chen, Chuan-Ksing Kao, Han-Jung Chang, Po-Min Kao, Terng-Jou Wan
Summary: Planning of sewer systems involves limitations and problems regardless of the methods used. Uncertainties and non-quantifiability affect decision-making variables and the optimal solution. This study used multi-objective programming, nonlinear programming, mixed-integer programming, and compromise fuzzy programming to address these problems for regional sewer system planning. The study aimed to determine necessary variables and establish a framework for optimal planning that considers cost, space, energy requirements, consumption, and treatment efficiency. The findings showed that merging individual sewage treatment plants into a centralized system was possible, and the compromise-fuzzy-based MOP method was effective in optimizing the system plan.
Article
Management
Mariana Mesquita-Cunha, Jose Rui Figueira, Ana Paula Barbosa-Povoa
Summary: Dealing with multi-objective problems using generation methods provides complete information about the Pareto front and different trade-offs, but can be overwhelming. Showing a representative set of the Pareto front as an alternative approach is beneficial. This paper proposes three algorithms for the representation problem and strategies to overcome poor estimations of the Pareto front bounds.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Management
Ilgin Dogan, Banu Lokman, Murat Koksalan
Summary: This paper discusses generating a representative subset of nondominated points in multi-objective mixed-integer programs and develops an exact algorithm to guarantee a prespecified precision. Experiments demonstrate that the algorithm outperforms existing approaches in terms of both the cardinality of the representative set and computation times.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Computer Science, Artificial Intelligence
M. Bagheri, Ali Ebrahimnejad, S. Razavyan, F. Hosseinzadeh Lotfi, N. Malekmohammadi
Summary: This paper proposes a DEA-based approach to solve the multi-objective shortest path problem with fuzzy parameters, converting it into a Fuzzy Shortest Path Problem that can be solved using existing algorithms.
COMPLEX & INTELLIGENT SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Yunus Demir
Summary: In this study, the fabric dyeing process in a towel manufacturing factory is examined, with a focus on batching towel fabric bolts with different quantities and features from different orders using multi-port dyeing machines. The research differs from previous studies by simultaneously optimizing three different objectives: total tardiness, total number of washes, and total machine fixed cost. A lexicographic optimization approach is adopted to prioritize these objectives based on the company's requirements, and a novel lexicographic multi-objective genetic algorithm is proposed to effectively solve large-sized problems. Overall, this study addresses a real-life problem in the textile industry and introduces innovative techniques for optimizing multiple objectives in a scheduling context.
APPLIED SOFT COMPUTING
(2023)
Article
Mathematics, Applied
Jiaxin Chen, Yuxuan Wu, Shuai Huang, Pei Wang
Summary: This paper investigates the relationship between the energy consumption of AGVs in the manufacturing environment and workstation satisfaction. A new multi-objective non-linear programming model is developed to minimize energy consumption while maximizing workstation satisfaction. An interactive fuzzy programming approach is used to obtain a compromise solution. The experimental results show that the proposed model and algorithm can achieve a good level of energy consumption and workstation satisfaction.
Article
Green & Sustainable Science & Technology
Abdulkerim Karaaslan, Mesliha Gezen
Summary: This study highlights the importance of focusing on renewable energy potential in Turkey to meet energy needs, identifying hydro, wind, and solar power as the best options. The findings support the decision policies aimed at reaching targets for the electricity sector in 2023.
Article
Management
Gokhan Ceyhan, Murat Koksalan, Banu Lokman
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2019)
Article
Management
Fatma Carman, Ceren Tuncer Sakar
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2019)
Article
Management
Gulsah Karakaya, Murat Koksalan
Summary: The study develops interactive approaches to help decision makers find satisfactory alternatives in a quasiconvex preference function environment, continuously searching alternative sets and estimating the decision maker's preference function to converge on the preferred alternative. Testing on multi-item, multi-round auction problems shows the approaches work well in obtaining solutions with preferred preference function values and minimal preference information needed.
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH
(2021)
Article
Management
Melike Kubra Ekiz, Ceren Tuncer Sakar
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH
(2020)
Article
Operations Research & Management Science
Barbaros Yet, Ceren Tuncer Sakar
ANNALS OF OPERATIONS RESEARCH
(2020)
Article
Engineering, Multidisciplinary
Ceren Tuncer Sakar, Gulsah Karakaya
JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY
(2019)
Article
Management
Diclehan Tezcaner Ozturk, Murat Koksalan
Summary: The study introduces interactive algorithms to find a strict total order for a set of discrete alternatives based on linear and quasiconcave value functions. The algorithms iteratively update preference matrix to elicit preference information from the decision maker until termination conditions are met, showing efficient convergence to the exact total order for both value functions.
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH
(2021)
Article
Engineering, Industrial
Gulsah Karakaya, Murat Koksalan
Article
Computer Science, Interdisciplinary Applications
Erdi Dasdemir, Murat Koksalan, Diclehan Tezcaner Ozturk
COMPUTERS & OPERATIONS RESEARCH
(2020)
Article
Computer Science, Artificial Intelligence
Gulsah Karakaya, Ceren Tuncer Sakar
Summary: A novel interactive algorithm is proposed to guide decision makers in finding highly-preferred solutions in continuous multiple criteria problems, with experiments showing promising results.
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING
(2021)
Article
Management
Erdi Dasdemir, Guldal Guleryuz, Murat Caner Testik, Diclehan Tezcaner Ozturk, Ceren Tuncer Sakar, Ozlem Testik
Summary: This paper addresses a bus routing problem and proposes a solution using mixed integer programming and heuristic approaches. The experiments show that the heuristics perform well in solving both small-scale and moderate-scale problems.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2022)
Article
Computer Science, Interdisciplinary Applications
Hakan Yuceturk, Halime Gulle, Ceren Tuncer Sakar, Christopher Joyner, William Marsh, Edibe Unal, Dylan Morrissey, Barbaros Yet
Summary: Patient Reported Outcome Measures (PROMs) are questionnaires completed by patients about their health status and are crucial for learning health systems. Using Bayesian Networks (BNs) for Computerized Adaptive Testing (CAT) can efficiently and accurately select questions, with results showing good predictive performance.
JOURNAL OF BIOMEDICAL INFORMATICS
(2022)
Article
Business
Gurkan Guven Guner, Ceren Tuncer Sakar, Barbaros Yet
Summary: This study proposes a systematic method to determine critical parts and create maintenance plans with different cost and capacity levels. The case study demonstrates that optional preventive maintenance packages can decrease costs while adhering to capacity limitations.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2023)
Article
Health Care Sciences & Services
Adele Hill, Christopher H. Joyner, Chloe Keith-Jopp, Barbaros Yet, Ceren Tuncer Sakar, William Marsh, Dylan Morrissey
Summary: This study aimed to improve the identification of serious spinal pathology (SSP) using a Bayesian network (BN) decision support tool. The study successfully developed and validated the BN, showing good performance in predicting SSP. This research provides a crucial first step in improving the ability to predict outcomes in low back pain by considering the problem of SSP.
JMIR FORMATIVE RESEARCH
(2023)
Article
Health Care Sciences & Services
Adele Hill, Christopher H. Joyner, Chloe Keith-Jopp, Barbaros Yet, Ceren Tuncer Sakar, William Marsh, Dylan Morrissey
Summary: This study proposes a method to construct a Bayesian network representative of expert clinical reasoning for LBP and reports lessons learned from an internal pilot. The process was successful with the need for careful operational definition of terms and software support for remote training.
JMIR RESEARCH PROTOCOLS
(2021)
