Article
Engineering, Electrical & Electronic
Jia Gao, Xiaojun Zheng, Feng Gao, Xiaoying Tong, Qiaomei Han
Summary: This study presents and discusses the heterogeneous multitype fleet green automated guided vehicle (AGV) routing problem with time windows (HFGVRPTW) applied in the workshops of flexible manufacturing systems (FMS). The research focuses on optimizing transport distance and energy consumption by designing a hybrid genetic algorithm with large neighborhood search (GA-LNS) considering the farthest insertion heuristic. Computational experiments were conducted to evaluate the efficiency and effectiveness of the proposed model and algorithm, with results showing significant energy-saving potential in workshop intralogistics compared to traditional homogeneous fleet transportation mode.
Article
Mathematics
Jianxun Li, Wenjie Cheng, Kin Keung Lai, Bhagwat Ram
Summary: Automated Guided Vehicles (AGV) have gained popularity in intelligent manufacturing due to their flexibility, controllability, and convenience. This study examines the relationship between AGV scheduling tasks, charging thresholds, and power consumption in order to address the impact of AGV charging on the scheduling of flexible manufacturing units with multiple AGVs. A scheduling model is established to minimize the maximum completion time, and a genetic algorithm is used to solve the model and improve genetic diversity. The results demonstrate the effectiveness and viability of the scheduling model in optimizing AGV utilization and reducing charging times.
Article
Engineering, Civil
Shijian Su, Houde Dai, Shuying Cheng, Zhicong Chen
Summary: This study proposed an improved method based on error analysis and prior knowledge to enhance the localization accuracy of magnetic guidance approach for automated guided vehicles (AGVs). Combining factors affecting localization accuracy and optimizing variables, as well as utilizing prior knowledge to construct constraint conditions, significantly improved the global convergence probability and convergence speed of the magnetic guidance approach. Experimental results demonstrated the adaptability and robustness of the improved magnetic tracking approach, leading to improved parking accuracy of AGVs.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Engineering, Manufacturing
W. Shi, D. B. Tang, P. Zou
Summary: The study proposes a method for solving AGV path conflicts based on a multi-objective scheduling model, which successfully reduces the probability of path conflicts through the use of speed control strategies and the MapReduce framework, and is validated in the smart electrical connectors workshop.
ADVANCES IN PRODUCTION ENGINEERING & MANAGEMENT
(2021)
Article
Automation & Control Systems
Ji Chol, Cha Ryong Gun
Summary: In order to minimize traveling time and energy consumption in a tandem AGV system, it is necessary to minimize waiting time of AGVs and containers at transfer points between adjacent zones. This requires cooperative multi-agent scheduling with coordination between agents. We propose a novel CMAS method based on Lagrange theory and compare it to a non-cooperative scheduling approach. Real-world experiments in a book printing process show that the CMAS method is effective.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Green & Sustainable Science & Technology
Sasan Barak, Reza Moghdani, Hamidreza Maghsoudlou
Summary: This paper proposes a novel scheduling approach for a resource-constrained Flexible Manufacturing System (FMS) by considering energy efficiency of AGVs and using a modified multi-objective particle swarm optimization algorithm to solve the problem, which outperforms the classic version of the algorithm according to the results.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Automation & Control Systems
Houde Dai, Pengfei Guo, Shijian Su, Shuang Song, Silin Zhao, Shuying Cheng
Summary: Magnetic positioning approach is a reliable solution for AGVs under fixed route conditions. A simplified MPA based on analytical method is proposed in this article, achieving higher positioning accuracy through optimization algorithm and magnetometer data.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Automation & Control Systems
Houde Dai, Pengfei Guo, Shijian Su, Shuang Song, Silin Zhao, Shuying Cheng
Summary: The Magnetic Positioning Approach (MPA) is a reliable solution for Automated Guided Vehicles (AGVs) under fixed route conditions. By simplifying the iterative and optimization algorithms, the MPA based on superstrong NdFeB magnets exhibits superior performance and proposes a simplified MPA scheme based on analytical methods.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Computer Science, Artificial Intelligence
Alireza Goli, Erfan Babaee Tirkolaee, Nadi Serhan Aydin
Summary: In today's competitive environment, designing a flexible and responsive manufacturing system with automatic material handling systems is essential. This article proposes a fuzzy mixed integer linear programming model for cell formation problems in cellular manufacturing systems, highlighting the important role of AGVs and human factors in automation systems.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Engineering, Industrial
R. Yan, S. J. Dunnett, L. M. Jackson
Summary: This article develops a mathematical model using Coloured Petri nets (CPN) to investigate the performance of multi-load AGV systems in various scenarios. The research shows that the failure of multi-load AGVs can significantly lower the system performance, but a combination of periodic maintenance and backup AGV use can maintain high performance. Additionally, increasing the number of multi-load AGVs improves system performance but decreases the efficiency of individual AGVs.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Environmental Sciences
Luoke Hu, Xiaoliang Zhao, Weipeng Liu, Wei Cai, Kangkang Xu, Zhongwei Zhang
Summary: The automated guided vehicle (AGV) is an advanced transport equipment widely used in flexible manufacturing systems to enhance productivity and automation. However, previous studies mainly focused on improving AGV's perception, navigation, and anti-collision capabilities, with insufficient attention to energy consumption reduction. This study proposes an energy benchmark for evaluating AGV path plans and establishes a dynamic rating system for energy efficiency. The results demonstrate a 10.98% reduction in transport energy consumption and analyze the effects of AGV path plans on machine tool energy consumption at workstations. Furthermore, the relationship between the energy efficiency of AGV path plans and workstation locations is explored.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Chemistry, Multidisciplinary
Chunghyup Mok, Insung Baek, Yoon Sang Cho, Younghoon Kim, Seoung Bum Kim
Summary: This study introduces a vision sensor-based multi-task deep learning architecture that accurately predicts the rotation and displacement of pallets, providing necessary information for optimizing palletizing strategies in warehouse logistics.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Civil
Chun-Cheng Lin, Kun-Yang Chen, Li-Tsung Hsieh
Summary: In smart factories, AGVs communicate with CPSs to autonomously deliver materials among smart facilities. Factories use rule-based and model-based approaches to improve AGV utilization and production efficiency. However, these strategies require predefined rules or models, leading to computational costs and estimation errors. This work proposes a reinforcement learning approach to solve the real-time charging scheduling problem of AGVs, considering practical bounds for charging different AGVs.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Ehsan Manafi, Reza Tavakkoli-Moghaddam, Mehdi Mahmoodjanloo
Summary: This paper studies the synchronization problem of task scheduling and AGV routing in a shop floor with reconfigurable machine tools. A heuristic method based on the COCRO algorithm is proposed, and collision-free paths are extracted using the Dijkstra algorithm. The results show the superiority of the COCRO algorithm. Additionally, the performance of the system under different circumstances and the comparison of different battery types are analyzed in the paper.
APPLIED SOFT COMPUTING
(2022)
Article
Computer Science, Information Systems
Jun-Yeong Jang, Su-Jeong Yoon, Chi-Ho Lin
Summary: The use of AGVs has been increasing at production sites due to industrial development. Wired induction method is mainly used as it is cheaper and faster. However, the disadvantage of this method is a limited driving route. In this paper, an AGV line-scan algorithm is proposed to overcome this limitation by using an Arduino controller and a low-cost vision sensor for route recognition, driving commands, and operation through color-code recognition.
Article
Robotics
Hamed Fazlollahtabar
Summary: Industry 4.0 integrated with robotic and digital fabrication technologies has attracted the attention of manufacturing researchers. This paper proposes an intelligent control system based on SCADA in the IoT platform for processing configuration and reconfiguration of an autonomous assembly system, and the implementation study confirms its effectiveness.
Article
Hospitality, Leisure, Sport & Tourism
Ryan Jopp, Hassan Kalantari, Weng Marc Lim, Lynn Ling Min Wee, Ai Ling Lim
Summary: This study explores tourist segmentation of eco-cultural destinations based on travel motivations. Factor analysis identifies key motivating factors for tourist visits, while cluster analysis divides tourists into want-it-alls, novelty seekers, and moderates. Recommendations for tourism policy, planning, and promotion are provided based on the findings.
CURRENT ISSUES IN TOURISM
(2022)
Article
Hospitality, Leisure, Sport & Tourism
Robin Nunkoo, Hassan Kalantari Daronkola, Hassan F. Gholipour
Summary: The study found that countries with higher levels of domestic travels experienced higher levels of COVID-19 cases and deaths during the first six months of the pandemic, but the correlation decreased from July to December 2020. Theoretically, domestic tourism may act as a vector of virus spread during the early stages of a pandemic.
CURRENT ISSUES IN TOURISM
(2022)
Article
Engineering, Industrial
Samane Babaeimorad, Parviz Fattahi, Hamed Fazlollahtabar
Summary: The paper presents an integrated strategy for inventory control and preventive maintenance planning for a single-machine production system. By using a numerical algorithm to find the optimal policy, it reduces production system costs and effectively deals with customer loss.
JOURNAL OF QUALITY IN MAINTENANCE ENGINEERING
(2022)
Article
Green & Sustainable Science & Technology
Chamila R. Perera, Hassan Kalantari, Lester W. Johnson
Summary: This study examines the relationship between climate change beliefs, personal environmental norms, and environmentally conscious behavior, and investigates how environmental identity mediates the relationship between climate change beliefs and environmentally conscious behavior. The findings suggest a strong positive relationship between climate change beliefs, personal environmental norms, and environmentally conscious behavior. The study also highlights the importance of personal environmental norms in driving environmentally conscious behavior, highlighting their role as being stronger than climate change beliefs.
Article
Hospitality, Leisure, Sport & Tourism
Hassan Daronkola Kalantari, Chamila Roshani Perera, Maryam Safinia
Summary: This study found a significant positive relationship between tourists' social motivations and their spending on cultural, nature, and leisure experiences, as well as a significant negative relationship between nature and ego status motivations and tourist spending on similar experiences. The relationships were moderated by religious affiliation. This research contributes to an unknown area of tourism research and provides evidence on how different factors relate to various types of tourist spending.
ANATOLIA-INTERNATIONAL JOURNAL OF TOURISM AND HOSPITALITY RESEARCH
(2022)
Article
Business
Chamila R. Perera, Hassan Kalantari Daronkola, Lester W. Johnson
Summary: This study investigates the relationship between environmental values and green product purchase intention, and explores the mediating role of environmental identity. The findings show that egobiocentric values have the strongest influence on environmental identity, followed by anthropocentric values, while biospheric values do not affect environmental identity. While environmental identity fully mediates the relationship between anthropocentric and egobiocentric values and green product purchase intention, it does not mediate the relationship between biospheric values and green product purchase intention.
JOURNAL OF CONSUMER BEHAVIOUR
(2022)
Article
Economics
Hassan F. Gholipour, Hassan D. Kalantari, Mohammad Kousary
Summary: The purpose of this study is to examine the moderating role of perceived importance of family, friends, leisure time and work on the link between self-employment and life satisfaction. The results show that a higher level of perceived importance of family, friends, and leisure time reduces life satisfaction of self-employed individuals, while the perceived importance of work does not play a moderating role.
JOURNAL OF BEHAVIORAL AND EXPERIMENTAL ECONOMICS
(2022)
Article
Green & Sustainable Science & Technology
Zahra Taherikhonakdar, Hamed Fazlollahtabar
Summary: These days software plays an important role in various aspects of our lives. With the increasing use of computers, mobile applications, and embedded systems, the energy consumption of software has become a growing concern. Green IT has emerged as a focus on optimizing software solutions to reduce energy consumption. Despite the importance of green software development, few developers pay attention to software energy consumption, and even fewer users care about the energy consumption of the software they use. This article aims to help software developers develop energy-efficient software and inform users about the energy consumption of the software they use in order to ultimately reduce the negative impact of software on the environment.
ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY
(2023)
Article
Hospitality, Leisure, Sport & Tourism
Hassan Daronkola Kalantari, Ryan Jopp, Hassan F. F. Gholipour, Weng Marc Lim, Ai Ling Lim, Lynn Ling Min Wee
Summary: This study examines the impact of travel information sources on tourist expenditure. The findings suggest that tourists who rely on travel agencies/tour operators and magazines/newspapers prior to their visit are more likely to spend more money, while in-destination tourists tend to use the internet to find better prices and decrease their expenditure.
CURRENT ISSUES IN TOURISM
(2023)
Article
Computer Science, Software Engineering
Hamed Fazlollahtabar
Summary: Supplier selection is a significant problem in supply chain management, involving concurrent decision-making on key performance indicators based on multi-dimensional data. Recent studies have examined the supplier selection problem in various applied cases, with a focus on a range of criteria. This problem becomes more pronounced in industries with high levels of investment, such as the renewable energy sector. This article presents a new method that encompasses all relevant indices for effective supplier selection. The proposed algorithm utilizes decision tree (DT) indices to group criteria and sub-criteria, and uses a machine learning (RML) approach to handle uncertain data through rough comparisons and weighing. The method also includes a transformation (T) step to obtain crisp values and a ranking (R) of suppliers. A case study on renewable energy supplier selection demonstrates the effectiveness of the proposed method, particularly in handling big data through machine learning techniques. The article also discusses the managerial implications of this method as decision support.
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
(2023)
Article
Business
Nasim Ganjavi, Hamed Fazlollahtabar
Summary: In today's competitive environment, quality management is crucial for companies to reach a larger market share and economic success. The integration of physical machinery systems with digital networking in Industry 4.0 provides extensive opportunities for quality-related issues. To encompass all dimensions effective on quality management, it is necessary to process a large amount of data within the context of Industry 4.0. Advanced production systems and quality management are complementary resources to enhance functionality and gain a higher competitive advantage.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2023)
Article
Business
Esther Oluwadamilola Olufemi Rotimi, Lester W. W. Johnson, Hassan Kalantari Daronkola, Cheree Topple, John Hopkins
Summary: This study applies and extends the predictors within the theory of planned behaviour (TPB) to understand Australian consumers' behaviour towards recycling end-of-life garments. The results show positive relationships between the factors explored and support all the hypotheses. The findings have theoretical and managerial implications, providing insights into the factors influencing consumers' recycling behaviour, extending the TPB, calling for marketing campaigns to educate consumers, suggesting the provision of textile collection bins, and highlighting the need for policy reform.
JOURNAL OF FASHION MARKETING AND MANAGEMENT
(2023)
Article
Economics
Hassan F. Gholipour, Robin Nunkoo, Behzad Foroughi, Hassan Kalantari Daronkola
Summary: This study investigates the impact of changes in economic policy uncertainty and consumer confidence on tourism flows to African countries, finding that positive changes in consumer confidence have a favorable impact on tourism departures, while positive changes in uncertainty have a negative effect.
Article
Engineering, Multidisciplinary
S. Babaeimorad, P. Fattahi, H. Fazlollahtabar
Summary: Machine maintenance in production is crucial for preventing machine failure and maintaining production efficiency. An integrated schedule for production and maintenance is necessary. This paper discusses a parallel machine scheduling problem with individual maintenance operations, formulates a mathematical model, and proposes a branch and bound algorithm for optimization. The results demonstrate the effectiveness of the mathematical model and the efficiency of the adapted algorithm in comparison with Gams optimization software.
INTERNATIONAL JOURNAL OF ENGINEERING
(2021)
