Article
Computer Science, Interdisciplinary Applications
Chao Guan, Zeqiang Zhang, Lixia Zhu, Silu Liu
Summary: This study investigates a dynamic extended row facility layout problem considering the dynamic manufacturing process. A hybrid evolution algorithm is proposed to minimize the sum of total material handling and rearrangement costs. The algorithm combines a decoding strategy, exhaustive pairwise swap operation, and variation operation to find optimal solutions. The effectiveness of the algorithm is demonstrated through comparisons with existing solutions and an exact approach.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2022)
Article
Computer Science, Interdisciplinary Applications
Rasool Motahari, Zeinolabedin Alavifar, Abdullah Zareh Andaryan, Maxwell Chipulu, Morteza Saberi
Summary: Different industries compete with each other in attracting customers using different methods. In the field of production, group technology (GT) is applied to reconfigure the factory and job shop design by grouping similar parts based on their design and production similarities. Cellular manufacturing (CM) is an application of GT where independent machines with different functions are grouped to form a manufacturing cell. Designing a cellular manufacturing system involves three major decisions: cell formation, group layout, and group scheduling. This paper proposes a multi-objective linear programming model to optimize completion time, transportation cost, and machine idle time, and solves the model using the epsilon-constraint method and a nondominated sorting genetic algorithm II (NSGA-II).
COMPUTERS & OPERATIONS RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Saeideh Salimpour, Hani Pourvaziri, Ahmed Azab
Summary: This article proposes a semi-robust approach for designing a cellular manufacturing system, which can cope with the continuous change of product mix and demand. The approach involves adjusting the positions of pick-up/drop-off points of cells, utilizing a multi-objective mathematical programming model and a modified non-dominated sorting genetic algorithm.
COMPUTERS & OPERATIONS RESEARCH
(2021)
Article
Computer Science, Interdisciplinary Applications
Xianyu Zhang, Xinguo Ming, Yuguang Bao
Summary: This paper studies the flexible layout and optimization of resources for a flexible smart manufacturing system in mass personalization manufacturing model. The research solves the flexible production preparation problem of sales order based on customer personalization. The study improves the utilization rate of production layout space and equipment and saves the total production cost. The findings of this research have important reference value for the research of flexible smart manufacturing system in a new manufacturing model facing mass personalization.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Engineering, Industrial
Xing Wan, Xingquan Zuo, Xiaodong Li, Xinchao Zhao
Summary: The multi-row facility layout problem (MRLP) is an important design problem in real life. Existing studies often overlook clearances between machines or only consider minimum clearances. This paper proposes using larger clearances between adjacent machines to achieve lower material flow cost, while optimizing layout area. By combining mixed integer programming and multi-objective greedy randomised adaptive search procedure, an effective solution is provided.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Management
S. Serhat Karakutuk, M. Arslan Ornek
Summary: This study aims to improve customer delivery rate and manufacturing order planning through enhancing production management and utilizing lean production tools. Efficiency and service level can be improved by reducing setup time, earliness, backlog quantity, and order lateness.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2023)
Article
Computer Science, Artificial Intelligence
Murshid Kamal, Umar Muhammad Modibbo, Ali AlArjani, Irfan Ali
Summary: This paper addresses the multi-objective selective maintenance allocation problem in a neutrosophic environment, introducing a new defuzzification technique and using neutrosophic goal programming to determine compromise allocation for system reliability optimization. The model is validated with a numerical illustration and found to be better compared to other methods.
COMPLEX & INTELLIGENT SYSTEMS
(2021)
Article
Engineering, Multidisciplinary
Majid Rafiee, Vahid Kayvanfar, Atieh Mohammadi, Frank Werner
Summary: This paper investigates the operator assignment problem in cellular manufacturing systems, with a focus on operator learning and forgetting effects, as well as handling uncertain parameters. Numerical instances solving and statistical analysis of the model were conducted to gain managerial insights.
APPLIED MATHEMATICAL MODELLING
(2022)
Article
Computer Science, Interdisciplinary Applications
Hamidreza Ebrahimi, Kamran Kianfar, Mehdi Bijari
Summary: The study focuses on scheduling Cellular Manufacturing System (CMS) to maximize total profits by considering components such as time-dependent energy prices, demand price elasticity, and machine speed-based power consumption. Two linearization approaches are used to determine order quantities, with developed mathematical models and a hybrid algorithm for optimization. The results show significant energy cost reductions when considering time-dependent energy prices in scheduling.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Automation & Control Systems
Hui-Ping Ho, Ching-Ter Chang, Kim Hua Tan
Summary: A novel hybrid weighted SSAL-SAL fuzzy goal programming (FGP) is proposed to assist smartphone buyers in finding satisfactory smartphones of their preferences with suitable rate plans. Buyers can easily set different weights for each smartphone selection goal with linguistic terms to choose the most suitable smartphone.
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
(2021)
Article
Engineering, Manufacturing
Hany Osman, Ahmed Azab, Mohammed Fazle Baki
Summary: Hybrid manufacturing technology combines the advantages of subtractive and additive manufacturing. A comprehensive process planning model is proposed to optimize the sequence of additive and subtractive features, minimize production cycle time, and reduce non-productive time. The proposed model is nonlinear, but can be solved using a linearization scheme and integrated into hybrid manufacturing systems for optimal results.
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
(2023)
Article
Mathematics
Xing Wan, Xing-Quan Zuo, Xin-Chao Zhao
Summary: The study introduces a mixed integer linear programming model and a hybrid approach combining local search and an exact method to solve the double row layout problem. It effectively tackles both small-scale and large-scale SR-DRLPs, providing high-quality solutions.
Article
Engineering, Manufacturing
Kyriakos Didilis, Debora Marani, Uffe Ditlev Bihlet, Astri Bjornetun Haugen, Vincenzo Esposito
Summary: This paper presents the technique of Freeform Injection Molding (FIM) and analyzes its ability in processing ceramic feedstocks. Through injection molding simulations to optimize parameters, the quality and performance of the samples were evaluated, and the related influencing factors were discussed.
ADDITIVE MANUFACTURING
(2022)
Article
Engineering, Marine
Zhan Wang, Xiao-qian Yang, Yu-hao Zheng, Wei-Chao Chen, Pei Lv, Bing Zhou, Ming-liang Xu
Summary: Traditionally, ship cabin layout is designed by experts using CAD, GAD, etc. This approach is labor-intensive and time-consuming. To address this, we propose an interactive ship cabin layout optimization approach based on integer programming, which can generate diverse layouts and involve designers for refinement.
Article
Computer Science, Interdisciplinary Applications
Ilkay Saracoglu, Gursel A. Suer, Patrick Gannon
Summary: This study presents a 3-phase solution approach for a multi-product parallel multi-stage cellular manufacturing company, focusing on manpower allocation, product family determination, and flow shop scheduling. The objective is to maximize production efficiency through genetic algorithms and mathematical modeling.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2021)
Article
Computer Science, Artificial Intelligence
Ibrahim Kucukkoc, Kadir Buyukozkan, Sule Itir Satoglu, David Z. Zhang
JOURNAL OF INTELLIGENT MANUFACTURING
(2019)
Article
Green & Sustainable Science & Technology
Alperen Bal, Sule Itir Satoglu
JOURNAL OF CLEANER PRODUCTION
(2018)
Article
Green & Sustainable Science & Technology
Serdar Baysan, Ozgur Kabadurmus, Emre Cevikcan, Sule Itir Satoglu, Mehmet Bulent Durmusoglu
JOURNAL OF CLEANER PRODUCTION
(2019)
Article
Geosciences, Multidisciplinary
Mehmet Kursat Oksuz, Sule Itir Satoglu
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2020)
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
Mathematics
Nadide Caglayan, Sule Itir Satoglu
Summary: Disaster management involves mitigating, preparing, responding, and recovering from disasters. A multi-objective stochastic programming model was developed in this study to minimize casualties and improve efficiency in disaster response.
Article
Operations Research & Management Science
Seyed Amin Seyfi-Shishavan, Yaser Donyatalab, Elmira Farrokhizadeh, Sule Itir Satoglu
Summary: This study proposes an efficient supply chain network to minimize total cost and blood shortage under uncertain conditions, using a new fuzzy multi-period mathematical model with spherical fuzzy membership degrees. The study considers the possibility of natural disasters in Istanbul and incorporates uncertain parameters, such as demand, supply, failure rates, and costs, represented by trapezoidal fuzzy numbers. Decision-makers' viewpoints are aggregated using a spherical fuzzy number algebraic weighted harmonic mean aggregation operator, and disruption throughout the supply chain is considered. A sensitivity analysis validates the proposed fuzzy model and solution methodology.
ANNALS OF OPERATIONS RESEARCH
(2021)
Article
Environmental Studies
Nadide Caglayan, Sule Itir Satoglu
Summary: This paper statistically assesses the effects of design factors on the casualty transportation system's performance in large-scale disasters, proposes a data-driven DST for casualty transportation, and reveals that utilizing the DST improves survival rate and time to deliver casualties during disaster response.
INTERNATIONAL JOURNAL OF DISASTER RESILIENCE IN THE BUILT ENVIRONMENT
(2022)
Article
Green & Sustainable Science & Technology
Eda Simsek, Zeynep Ozdemir, Sule Itir Satoglu
Summary: This study proposes a multi-objective mathematical model to optimize the reverse logistics and recycling processes of waste electronic products for extracting precious and rare-earth elements, in compliance with governmental regulations. The empirical application in a real recycling facility reveals the significant recovery potential of electronic waste, leading to economic profit, environmental protection, and job opportunities.
PROCESS INTEGRATION AND OPTIMIZATION FOR SUSTAINABILITY
(2022)
Article
Computer Science, Artificial Intelligence
Nadide Caglayan, Sule Itir Satoglu, Emine Nisa Kapukaya
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2020)
Proceedings Paper
Green & Sustainable Science & Technology
Alperen Bal, Sule Itir Satoglu
SUSTAINABLE MANUFACTURING FOR GLOBAL CIRCULAR ECONOMY
(2019)
Proceedings Paper
Engineering, Industrial
Sule Satoglu, Alp Ustundag, Emre Cevikcan, Mehmet Bulent Durmusoglu
INDUSTRIAL ENGINEERING IN THE INDUSTRY 4.0 ERA
(2018)
Proceedings Paper
Engineering, Industrial
Alperen Bal, Peiman Alipour Sarvari, Sule Itir Satoglu
INDUSTRIAL ENGINEERING IN THE INDUSTRY 4.0 ERA
(2018)
Article
Engineering, Multidisciplinary
Sule Itir Satoglu, Aydin Sipahioglu
SIGMA JOURNAL OF ENGINEERING AND NATURAL SCIENCES-SIGMA MUHENDISLIK VE FEN BILIMLERI DERGISI
(2018)
Article
Computer Science, Interdisciplinary Applications
Mehmet Kursat Oksuz, Kadir Buyukozkan, Sule Itir Satoglu
COMPUTERS & INDUSTRIAL ENGINEERING
(2017)
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)
