Article
Chemistry, Multidisciplinary
Mohammadamin Zarei, Ali Cherif, Ha-Jun Yoon, J. Jay Liu, Chul-Jin Lee
Summary: Due to the scarcity of fossil fuels and environmental concerns, renewable energy sources have gained attention. In this study, multi-objective function optimization was used to design a sustainable biofuel supply chain based on greenhouse gas emissions and cost. The results show that the sustainable solution has a cost of $6.63 per gallon of gasoline-equivalent and emits 674.83 grams of CO2-equivalents per gallon of gasoline-equivalent.
Article
Engineering, Electrical & Electronic
Kang Su, Guanglong Du, Hua Yuan, Xueqian Wang, Shaohua Teng, Di Li, Peter X. Liu
Summary: A natural bare-hand interaction method for virtual assembly has been proposed in this study, allowing operators to interact with virtual objects using natural gestures, making it more natural and habitual compared to traditional methods. Experimental results show that the proposed method performed better at providing better interactive experiences, according to operator ratings and significant difference analysis.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Computer Science, Interdisciplinary Applications
Hadi Gholizadeh, Hamed Jahani, Ahmad Abareshi, Mark Goh
Summary: This paper enhances the augmented epsilon-constraint approach with linearization using robust optimization and heuristics to maximize the total profit and minimize environmental effects of a sustainable closed-loop supply chain (CLSC) in the dairy industry. The study demonstrates that applying heuristic methods to large-scale problems can improve runtime by 25%. Additionally, the analysis shows that products with longer lifetimes can yield greater profits in worst-case scenarios compared to products with shorter lifetimes in optimistic scenarios.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Energy & Fuels
Xianjing Zhong, Xianbo Sun, Yuhan Wu
Summary: This paper proposes a hybrid energy storage capacity optimization method for a wind-solar-diesel grid-connected microgrid system based on an augmented epsilon-constraint method. By coupling the battery with a seasonal hydrogen energy storage system, a hybrid energy storage model is established to improve the renewable energy utilization rate. By considering comprehensive costs and carbon emissions, a capacity allocation model is constructed for the microgrid. The results show that the optimization method effectively improves the local absorption rate of wind and solar radiation and reduces carbon emissions.
Article
Construction & Building Technology
Zahra Gharib, Reza Tavakkoli-Moghaddam, Ali Bozorgi-Amiri, Maziar Yazdani
Summary: This paper proposes an integrated model for distributing temporary shelters after a large-scale disaster. The model aims to minimize service time, maximize route reliability, and minimize unmet demand through clustering and prioritizing. The results show that the proposed multi-objective firefly algorithm outperforms in accuracy and computational time.
Article
Green & Sustainable Science & Technology
Xiaohui Yang, Zhengyang Leng, Shaoping Xu, Chunsheng Yang, Li Yang, Kang Liu, Yaoren Song, Liufang Zhang
Summary: The study proposed a multi-objective optimal scheduling model that integrated renewable energy, energy storage systems, and demand response, demonstrating effective reduction in pollutant emissions and treatment costs. The proposed MILP method displayed superior accuracy and computational efficiency compared to other intelligent algorithms, and with peak-load shifting capabilities to effectively respond to fluctuations in peak loads.
Article
Computer Science, Artificial Intelligence
Binghai Zhou, Jingrao Bian
Summary: This paper investigates the resource-constraint mixed-model multi-manned disassembly line balancing problem and proposes a mixed-integer programming model and a self-adaptive salp swarm algorithm with sine cosine algorithm. Computational experiments show that the algorithm achieves superior results in multiple evaluation indexes and demonstrates practicality.
APPLIED SOFT COMPUTING
(2022)
Article
Operations Research & Management Science
Elmira Farrokhizadeh, Seyed Amin Seyfi-Shishavan, Sule Itir Satoglu
Summary: This study presents a multi-period, bi-objective blood supply chain model with consideration of blood group compatibility, facility failure rate, and patients' urgency levels under multiple scenarios. The results demonstrate the tradeoff between supply chain costs and unsatisfied demand, providing managerial insights such as opening new blood centers, increasing hospital capacities, and utilizing drones and helicopters for blood distribution.
ANNALS OF OPERATIONS RESEARCH
(2021)
Article
Computer Science, Artificial Intelligence
Jinlong Zhou, Juan Zou, Jinhua Zheng, Shengxiang Yang, Dunwei Gong, Tingrui Pei
Summary: This paper proposes an infeasible solutions diversity maintenance strategy for solutions with constraint violations degree greater than epsilon. Experimental results demonstrate that our proposed algorithm is highly competitive with other state-of-the-art algorithms for constrained multiobjective optimization problems.
Article
Automation & Control Systems
Zhuo Wang, Xiaoliang Bai, Shusheng Zhang, Yang Wang, Shu Han, Xiangyu Zhang, Yuxiang Yan, Zhishuo Xiong
Summary: This study presents a user-oriented classification method for assembly instructions, which significantly improves user performance in terms of assembly time and operational experience through the use of AR instructions at the information level and auxiliary reclassification. This method can achieve efficient and concise operation purposes.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Operations Research & Management Science
Christian Kanzow, Andreas B. Raharja, Alexandra Schwartz
Summary: The reformulation of cardinality-constrained optimization problems into continuous nonlinear optimization problems with an orthogonality-type constraint has become popular in recent years. Due to the special structure of the constraints, specialized algorithms are often needed to solve the reformulated problem. However, this study investigates the use of a standard safeguarded multiplier penalty method without problem-tailored modifications, proving global convergence and providing numerical experiments comparing its performance to regularization-based approaches.
JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
(2021)
Article
Computer Science, Interdisciplinary Applications
Seyed Babak Ebrahimi, Ehsan Bagheri
Summary: This study designs a multi-echelon network for oil and gas supply chain and formulates a biobjective mathematical model to optimize profit and reliability. The proposed model is validated through a real-world case study and sensitivity analysis, demonstrating its effectiveness and feasibility.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Yun Hou, Guosheng Hao, Yong Zhang, Feng Gu, Wenyang Xu
Summary: This paper proposes a multi-objective discrete particle swarm optimization algorithm to solve the particle routing problem in distributed particle filters. Experimental results show that the algorithm is highly competitive and can provide multiple high-quality Pareto optimal solutions.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Computer Science, Hardware & Architecture
Nan Xu, Fangzheng Yu, Jiao Xu, Dajiang Jin, Huajun Feng, Zhihai Xu, Qi Li, Yueting Chen
Summary: The automotive augmented reality head-up-display (AR-HUD) system uses multiple free-form surfaces to project virtual images into human eyes, resulting in complex distortions. Existing calibration methods require significant memory capacity and complicated procedures. In this study, a fully connected neural network (HUDNet) is proposed to correct dynamic distortion, using a parallel prediction framework and separating distortion information from disparity information for improved accuracy. Transfer learning is also introduced to enhance accuracy. This research provides a reference for applying deep learning methods to predict dynamic image distortion in complex multi-freeform surface reflection systems.
Article
Chemistry, Physical
Vahid Sohrabi Tabar, Mehdi Ahmadi Jirdehi, Ahmad Rezaee Jordehi
Summary: This paper proposes a cooperative planning approach for integrated electricity and gas grids, considering uncertainties and flexible loads. The joint scheduling is optimized using a risk-constrained multi-objective programming method and a robust augmented epsilon constraint method. The simulations demonstrate that the presented approach achieves a good equilibrium between both networks, improves robustness, and reduces costs with the inclusion of responsive loads.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Green & Sustainable Science & Technology
M. Boronoos, M. Mousazadeh, S. Ali Torabi
Summary: This study introduces a novel multi-objective mixed integer nonlinear programming model for closed-loop green supply chain network design problem, aiming to minimize total costs, total CO2 emissions, and robustness costs simultaneously. By utilizing a robust flexible-possibilistic programming approach to handle flexible constraints and uncertainty in parameters, the study suggests that the carbon cap-and-trade policy is superior in most cases.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2021)
Article
Operations Research & Management Science
Iman Kazemian, S. Ali Torabi, Christopher W. Zobel, Yuhong Li, Milad Baghersad
Summary: This study introduces a supply chain resilience assessment framework that quantifies structural factors and their relationships to different resilience strategies, aiding decision makers in planning more effective resilience improvement actions.
OPERATIONAL RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Sina Nayeri, S. Ali Torabi, Mahdieh Tavakoli, Zeinab Sazvar
Summary: This study presents a multi-objective mixed-integer programming model for designing a sustainable supply chain network while taking into account resilience and responsiveness measures. By using a new optimization approach and meta-goal programming, the uncertainty in dynamic business environments is addressed. A case study in the water heater industry validates the effectiveness of the proposed model and solution approach, while offering useful insights through sensitivity analyses on key parameters.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Materials Science, Multidisciplinary
Mohamad Hossein Fatahi, Mohsen Hamedi, Majid Safarabadi
Summary: This paper aims to develop a numerical model to predict the performance of piezoelectric energy harvester in beam configuration and study the effect of implementing auxetic substrate. Two beams are manufactured using different substrates, with auxetic substrate leading to more charge generation. With an updated model and fine adjustment of beam dimensions, a 30% improvement in output voltage is observed.
MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
(2022)
Correction
Operations Research & Management Science
Iman Kazemian, S. Ali Torabi, Christopher W. Zobel, Yuhong Li, Milad Baghersad
OPERATIONAL RESEARCH
(2022)
Article
Engineering, Industrial
Hassan Gharoun, Mahdi Hamid, S. Ali Torabi
Summary: This paper introduces a new bi-objective model for integrated production planning and reliability-based multi-level preventive maintenance scheduling, aiming to minimize total cost while maximizing customer satisfaction. It identifies the most profitable customers using a multi-attribute decision making approach, develops efficient meta-heuristic algorithms for large-scale problems, and employs the TOPSIS method to select the most desirable solution among the obtained Pareto solutions. A case study demonstrates the applicability of the proposed approach.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE-OPERATIONS & LOGISTICS
(2022)
Article
Automation & Control Systems
Reza Karimzadeh, Mohsen Hamedi
Summary: This paper proposes a topology optimization algorithm based on the SIMP method, which combines data clustering and neural networks to enhance sensitivity analysis, capable of generating a support-free part design with desirable compliance. The experimental results demonstrate promising savings in material usage and manufacturing time.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Computer Science, Interdisciplinary Applications
Zeynab Mosanna, Jafar Heydari, S. Ali Torabi, M. Ali Ulkue
Summary: This paper studies the optimal design of a coordination mechanism for a socially responsible supply chain, focusing on the relationship between a manufacturer and a retailer in meeting the demands of socially aware consumers. The research finds that using a two-part tariff contract can achieve coordination in the supply chain, and the manufacturer can attract socially aware consumers by pledging donations to charity.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Mojtaba Ranjbar, Mohammad Mahdi Nasiri, S. Ali Torabi
Summary: This study utilizes a fuzzy hybrid multi-criteria method and a fuzzy bi-objective mathematical programming model to address the project portfolio selection and scheduling problem, optimizing the project portfolio through weighted qualitative criteria and a bi-objective fuzzy mathematical model.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Engineering, Industrial
Mojtaba Khorram Niaki, Fabio Nonino, Keivan Tafakkori, S. Ali Torabi, Iman Kazemian
Summary: This paper presents a theoretical model incorporating manufacturing competitive capabilities and contingency concepts and validates it through an empirical study on 105 manufacturing firms using AM. The study finds that production volume, material type, country's economic development, and firm's experience have contingency effects on AM's competitive capabilities.
JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT
(2022)
Article
Operations Research & Management Science
Azadeh Farsi, S. Ali Torabi, Mandi Mokhtarzadeh
Summary: The complexity of surgery scheduling negatively affects the efficiency of surgical staff and patient satisfaction. This paper proposes an integrated scheduling approach using a constraint programming model and a hybrid method of NSGA-II and MODA to minimize makespan and maximize satisfaction. Results show that the proposed method outperforms existing approaches in providing high-quality solutions efficiently.
INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT
(2022)
Article
Materials Science, Textiles
Mohsen Hamedi, Parisa Salimi
Summary: This paper introduces a novel insole made of 3D spacer fabric with superelastic nitinol monofilaments (NiTi) for plantar pressure reduction. Compared with commercial insoles, this insole demonstrates better cushioning properties, breathability, pressure distribution, and endurance. Therefore, it shows promising potential for protecting diabetic feet against pressure and ulceration.
JOURNAL OF INDUSTRIAL TEXTILES
(2022)
Article
Economics
Ali Ghavamifar, S. Ali Torabi, Mohammad Moshtari
Summary: This paper proposes a novel hybrid relief procurement contract that effectively coordinates the supply of relief items between a supplier and a humanitarian organization. By categorizing different provinces according to risk approach and conducting sensitivity analyses, the study demonstrates that using this contract can significantly improve the procurement process in humanitarian organizations.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Engineering, Multidisciplinary
A. Mohammadbagher, S. Ali Torabi
Summary: This study addresses a new variant of the vehicle routing problem for a mixed fleet of electric and combustion vehicles under the presence of time windows and charging stations. A bi-objective mixed-integer programming model is developed to minimize cost and pollution level concurrently. The study presents a framework that can find a set of Pareto optimal solutions considering different combinations of electric and combustion vehicles.
INTERNATIONAL JOURNAL OF ENGINEERING
(2022)
Article
Operations Research & Management Science
Nafiseh Shamsi Gamchi, S. Ali Torabi, Fariborz Jolai
Summary: This paper addresses a novel bi-objective vehicle routing problem for distributing vaccines to control the spread of communicable diseases after a disaster. A hybrid solution procedure is developed to minimize social costs incurred by considering different priority groups and vehicle costs. The performance of the model and solution approach is evaluated through small test problems and a real case-inspired example.
Article
Engineering, Industrial
Xiaoliang Yan, Reed Williams, Elena Arvanitis, Shreyes Melkote
Summary: This paper extends prior work by developing a semantic segmentation approach for machinable volume decomposition using pre-trained generative process capability models, providing manufacturability feedback and labels of candidate machining operations for query 3D parts.
JOURNAL OF MANUFACTURING SYSTEMS
(2024)
Article
Engineering, Industrial
Jing Huang, Zhifen Zhang, Rui Qin, Yanlong Yu, Guangrui Wen, Wei Cheng, Xuefeng Chen
Summary: In this study, a deep learning framework that combines interpretability and feature fusion is proposed for real-time monitoring of pipeline leaks. The proposed method extracts abstract feature details of leak acoustic emission signals through multi-level dynamic receptive fields and optimizes the learning process of the network using a feature fusion module. Experimental results show that the proposed method can effectively extract distinguishing features of leak acoustic emission signals, achieving higher recognition accuracy compared to typical deep learning methods. Additionally, feature map visualization demonstrates the physical interpretability of the proposed method in abstract feature extraction.
JOURNAL OF MANUFACTURING SYSTEMS
(2024)
