Article
Operations Research & Management Science
Chang Liu, Zhen Li, Jiafu Tang, Xuequn Wang, Ming-Jong Yao
Summary: In the context of Chinese firms, the SERU production system shows greater manufacturing flexibility, with multi-skilled worker involvement being a key factor in improving flexibility and impacting firm performance.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Computer Science, Interdisciplinary Applications
Yuya Fujita, Kazuhiro Izui, Shinji Nishiwaki, Zhe Zhang, Yong Yin
Summary: The seru production system, derived from Japanese production practices, is a new type of manufacturing system that can achieve high efficiency, flexibility, and responsiveness simultaneously. This paper proposes an optimization method for multi-product seru production systems under demand uncertainty, utilizing Monte Carlo technique and bi-level mixed-integer linear programming to handle such uncertainty in worker and production quantity allocation. The effectiveness of the proposed method is demonstrated through numerical problems.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Computer Science, Hardware & Architecture
Jie Lian, Wenjuan Li, Guoli Pu, Pengwei Zhang
Summary: Due to frequent changes in product types, SERUS systems can be rapidly constructed, modified, and dismantled. In order to address the task dispatching, product sequencing, and system reconfiguration problems, a bi-objective mathematical model is proposed and solved using a non-dominated sorting genetic algorithm-II.
SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS
(2023)
Article
Chemistry, Multidisciplinary
Douha Macherki, Thierno M. L. Diallo, Jean-Yves Choley, Amir Guizani, Maher Barkallah, Mohamed Haddar
Summary: This paper proposes a holonic architecture called QHAR for Cyber-Physical Production Systems, which has four dimensions and three flows, and implements oligarchical control through hierarchical and heterarchical approaches. The architecture has been tested and validated in a case study.
APPLIED SCIENCES-BASEL
(2021)
Article
Operations Research & Management Science
Ye Wang, Jiafu Tang
Summary: This research focuses on optimizing the configuration for implementing the seru production system (SPS) under uncertain demand, aiming to formulate a robust production system capable of effectively responding to stochastic demands. The study addresses the issues of determining the required amount of skill training and matching workers with their corresponding skills. A stochastic optimization model and heuristic algorithm are developed to minimize the total expected cost of the system, taking into account various cost factors. Experimental results show the benefits of appropriate partial skill training and the relationship between total cost, skill training, demand fluctuations, and product types.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Computer Science, Interdisciplinary Applications
Bahman Naderi, Ahmed Azab
Summary: This study discusses the scheduling problem of a reconfigurable assembly system with changeable configurations and unique fittest configurations for different job sets. Mathematical modeling and artificial immune algorithms are proposed to solve small and large instances of the problem, respectively. Numerical experiments evaluate the model and performance of the algorithms.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Engineering, Industrial
Jie Lian, ChenGuang Liu, Wenjuan Li, Juning Su, Hongquan Xue
Summary: In this paper, we address the task dispatching, product sequencing, and seru reconfiguration problems in seru (cellular production system). We propose a nonlinear mathematical model with the objective of minimizing the total earliness and tardiness. The model is validated through computational examples and the impact of parameters on system performance is analyzed.
EUROPEAN JOURNAL OF INDUSTRIAL ENGINEERING
(2022)
Article
Engineering, Industrial
Marcel Albus, Marco F. Huber
Summary: The successful operation of an assembly line requires balancing work among resources and stations to minimize costs, known as the Assembly Line Balancing Problem (ALBP). Most research focuses on new production facilities without pre-existing resources, known as a greenfield approach. However, reconfigurable production due to market demands imposes new constraints on the ALBP.
JOURNAL OF MANUFACTURING SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Rongxin Zhan, Dongni Li, Tao Ma, Zihua Cui, Shaofeng Du, Yong Yin
Summary: This paper focuses on the configuration of a seru production system and proposes an improved algorithm that minimizes total completion time and total labor cost, outperforming classic scheduling heuristics and well-known algorithms in computational experiments.
APPLIED INTELLIGENCE
(2023)
Article
Computer Science, Interdisciplinary Applications
Armin F. Buckhorst, Lea Grahn, Robert H. Schmitt
Summary: The Line-less Mobile Assembly System paradigm (LMAS) provides flexibility for large-scale product production. A suitable control system is needed to connect resources and autonomously configure transient assembly stations. This paper introduces a suitable decentralized multi-agent control system approach.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2022)
Article
Engineering, Industrial
Jelena Milisavljevic-Syed, Jiahong Li, Hanbing Xia
Summary: Currently, there is a lack of a design method for manufacturing system reconfiguration that can adapt to changing demand and evolving production technologies while minimizing energy consumption. This research aims to study flexibility and sustainable manufacturing simultaneously by designing robust models and analyzing manufacturing system configurations. A pre-emptive decision engineering framework (DEF) is developed to manage future uncertainty and identify vulnerabilities and alternative production portfolios. The findings provide a new production system for adaptable, responsive, and sustainable manufacturing in the dynamic global economy.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Automation & Control Systems
Hongying Shan
Summary: This study examines the practical application of assembly line-Seru conversion in a Chinese electronics assembly company during the C2M transition. It proposes a production line improvement scheme and uses mathematical modeling and algorithms to determine the optimal solution.
ASSEMBLY AUTOMATION
(2022)
Article
Engineering, Industrial
Christian Stockmann, Herwig Winkler, Martin Kunath
Summary: Assessing robustness in production systems requires a holistic approach that considers various aspects such as input resources, performance deviations, and output volumes. The study highlights the importance of balancing tradeoffs between performance, resource requirements, and output in evaluating robustness. Furthermore, robustness is seen as a superior system capability that incorporates flexibility, agility, resilience, and resistance.
JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT
(2021)
Article
Computer Science, Interdisciplinary Applications
Orhan Torkul, Ihsan Hakan Selvi, Merve Sisci
Summary: The Seru production system combines the flexibility of job shop production and high efficiency of assembly lines, reducing operating costs, labor force, and space. However, it also poses a higher risk of production errors. A conceptual model utilizing advanced analytics based on deep learning is proposed to monitor and control the production process.
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
(2022)
Article
Chemistry, Multidisciplinary
Xiaohua Zang, Zhaoqi Zeng, Mingqiang Pan, Kun Cai, Quancheng Liu, Xudong Wang, Yanming Wei
Summary: This article proposes a design method for a valve automatic assembly production line to address the automation assembly needs of electric valve products in space propulsion systems. The method overcomes the problems of inaccurate loading force control and low valve measurement accuracy in existing process methods. By combining various design elements and incorporating precise control and non-contact optical measurement methods, the proposed method achieves improved precision and multi-variable decoupling of valve product performance. Through application verification, this automatic assembly production line significantly enhances the assembly efficiency of electric valve products and resolves challenging engineering issues.
APPLIED SCIENCES-BASEL
(2023)
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)
