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Journal articles on the topic 'Multi-agent systems Product Lines engineering'

Author: Grafiati

Published: 4 May 2024

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1

SARKER, BHABA R., and YI XU. "Designing multi-product lines: job routing in cellular manufacturing systems." IIE Transactions 32, no. 3 (2000): 219–35. http://dx.doi.org/10.1080/07408170008963894.

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Ochoa, Lina, Oscar González-Rojas, Nicolás Cardozo, et al. "Constraint programming heuristics for configuring optimal products in multi product lines." Information Sciences 474 (February 2019): 33–47. http://dx.doi.org/10.1016/j.ins.2018.09.042.

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3

Alavian, Pooya, Peter Denno, and Semyon M. Meerkov. "Multi-job production systems: definition, problems, and product-mix performance portrait of serial lines." International Journal of Production Research 55, no. 24 (2017): 7276–301. http://dx.doi.org/10.1080/00207543.2017.1338779.

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Kaynarkaya, Sena, and Gülen Çağdaş. "Evaluation of Metro Lines with Swarm Intelligence Approach." Journal of Information Technology in Construction 27 (August 24, 2022): 802–26. http://dx.doi.org/10.36680/j.itcon.2022.039.

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Metro lines, which have become one of the most important transportation routes for today's cities, require long design and implementation processes. Their design load is mostly due to detailed engineering calculations, have to expand to meet the needs of the ever-increasing population. The behavior of slime moulds to find the shortest path they use to reach the food source has inspired models created specifically to test the accuracy of highway routes. The hypothesis of this study is that the swarm behavior of slime moulds and the routes they follow may produce the same or similar results as t

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Miqueo, Adrian, Marcos Gracia-Cadarso, Marta Torralba, Francisco Gil-Vilda, and José Antonio Yagüe-Fabra. "Multi-Model In-Plant Logistics Using Milkruns for Flexible Assembly Systems under Disturbances: An Industry Study Case." Machines 11, no. 1 (2023): 66. http://dx.doi.org/10.3390/machines11010066.

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Mass customisation demand requires increasingly flexible assembly operations. For the in-plant logistics of such systems, milkrun trains could present advantages under high variability conditions. This article uses an industrial study case from a global white-goods manufacturing company. A discrete events simulation model was developed to explore the performance of multi-model assembly lines using a set of operational and logistics Key Performance Indicators. Four simulation scenarios analyse the separate effects of an increased number of product models and three different sources of variabili

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Dhouib, K., A. Gharbi, and N. Landolsi. "Availability modelling and analysis of multi-product flexible transfer lines subject to random failures." International Journal of Advanced Manufacturing Technology 50, no. 1-4 (2010): 329–41. http://dx.doi.org/10.1007/s00170-009-2487-8.

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Farahani, Elham Darmanaki, and Jafar Habibi. "Configuration Management Model in Evolutionary Software Product Line." International Journal of Software Engineering and Knowledge Engineering 26, no. 03 (2016): 433–55. http://dx.doi.org/10.1142/s0218194016500182.

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In Software Product Line (SPL), Configuration Management (CM) is a multi-dimensional problem. On the one hand, the Core Assets that constitute a configuration need to be managed, and on the other hand, each product in the product line that is built using a configuration must be managed, and furthermore, the management of all these configurations must be coordinated under a single process. Therefore, CM for product lines is more complex than for single systems. The CM of any software system involves four closely related activities: Change Management (ChM), Version Management (VM), System Buildi

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Qin, Yi. "Integrated, multidisciplinary approaches for micro-manufacturing research, and new opportunities and challenges to micro-manufacturing." Proceedings of the Institution of Mechanical Engineers, Part N: Journal of Nanomaterials, Nanoengineering and Nanosystems 232, no. 1 (2018): 5–21. http://dx.doi.org/10.1177/2397791417750350.

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Increased demands on micro-products and miniaturised systems/devices have been a main driver to the rapid growth of the interest in research in micro- and nano-manufacturing. Currently, micro-manufacturing research is bridging ‘nano-manufacturing’ and ‘macro-manufacturing’ and hence, helping to transform nanotechnology into real-world and affordable products, for which it is developing multi-length scale and multi-materials manufacturing capabilities. It is also playing more roles in helping transforming traditional industry and products to more competitive ones. Nevertheless, besides being sh

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Tremblet, David, Abdelkrim R. Yelles-Chaouche, Evgeny Gurevsky, Nadjib Brahimi, and Alexandre Dolgui. "Optimizing task reassignments for reconfigurable multi-model assembly lines with unknown order of product arrival." Journal of Manufacturing Systems 67 (April 2023): 190–200. http://dx.doi.org/10.1016/j.jmsy.2023.02.001.

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Ruppert, Tamas, and Janos Abonyi. "Software Sensor for Activity-Time Monitoring and Fault Detection in Production Lines." Sensors 18, no. 7 (2018): 2346. http://dx.doi.org/10.3390/s18072346.

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Industry 4.0-based human-in-the-loop cyber-physical production systems are transforming the industrial workforce to accommodate the ever-increasing variability of production. Real-time operator support and performance monitoring require accurate information on the activities of operators. The problem with tracing hundreds of activity times is critical due to the enormous variability and complexity of products. To handle this problem a software-sensor-based activity-time and performance measurement system is proposed. To ensure a real-time connection between operator performance and varying pro

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Tirkeş, Güzin, Neşe Çelebi, and Cenk Güray. "Developing a Multi-Stage Production Planning and Scheduling Model for a Small-Size Food and Beverage Company." Journal Européen des Systèmes Automatisés 54, no. 2 (2021): 273–81. http://dx.doi.org/10.18280/jesa.540209.

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A great deal of research has been undertaken in recent years related to facility capacity expansion and production planning problems under deterministic and stochastic constraints in the literature. However, only a small portion of this work directly addresses the issues faced by the food and beverage industry, especially in small-sized enterprises. In this study, a Mixed-Integer Linear Programming model (MILP) is developed for production planning and scheduling decisions for a small-size company producing syrup and jam products. The main constraint is that the multiple syrup and jam productio

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12

Nazarian, Ehsan, Jeonghan Ko, and Hui Wang. "Design of multi-product manufacturing lines with the consideration of product change dependent inter-task times, reduced changeover and machine flexibility." Journal of Manufacturing Systems 29, no. 1 (2010): 35–46. http://dx.doi.org/10.1016/j.jmsy.2010.08.001.

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13

Xu, Guangyan, Zailin Guan, Kai Peng, and Lei Yue. "Collaborative scheduling of machining-assembly in complex multiple parallel production lines environment considering kitting constraints." International Journal of Industrial Engineering Computations 14, no. 4 (2023): 749–66. http://dx.doi.org/10.5267/j.ijiec.2023.7.003.

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In multi-stage machining-assembly production, collaborative scheduling for multiple production lines can effectively improve the execution efficiency of production planning and increase the effective output of the production system. In this paper, a production scheduling mathematical model was constructed for the collaborative scheduling problem of machining-assembly multi-production lines with kitting constraints, with the optimization objectives of minimizing assembly completion time and tardiness time. For the scheduling model, the product assembly process is constrained by the machining se

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Olaitan, Oladipupo A., and John Geraghty. "Evaluation of production control strategies for negligible‐setup, multi‐product, serial lines with consideration for robustness." Journal of Manufacturing Technology Management 24, no. 3 (2013): 331–57. http://dx.doi.org/10.1108/17410381311318864.

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PurposeThe aims of this paper is to investigate simulation‐based optimisation and stochastic dominance testing while employing kanban‐like production control strategies (PCS) operating dedicated and, where applicable, shared kanban card allocation policies in a multi‐product system with negligible set‐up times and with consideration for robustness to uncertainty.Design/methodology/approachDiscrete event simulation and a genetic algorithm were utilised to optimise the control parameters for dedicated kanban control strategy (KCS), CONWIP and base stock control strategy (BSCS), extended kanban c

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Cevikcan, Emre. "An optimization methodology for multi model walking-worker assembly systems: an application from busbar energy distribution systems." Assembly Automation 36, no. 4 (2016): 439–59. http://dx.doi.org/10.1108/aa-09-2015-072.

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Purpose Walking-worker assembly lines can be regarded as an effective method to achieve the above-mentioned characteristics. In such systems, workers, following each other, travel workstations in sequence by performing all of the required tasks of their own product. As the eventual stage of assembly line design, efforts should be made for capacity adjustments to meet the demand in terms of allocating tasks to workers via assembly line balancing. In this context, the purpose of this study is to address the balancing problem for multi-model walking-worker assembly systems, with the aim of improv

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Tang, Delian, Junfeng Wang, and Xintao Ding. "Order-Driven Dynamic Resource Configuration Based on a Metamodel for an Unbalanced Assembly Line." Machines 10, no. 7 (2022): 508. http://dx.doi.org/10.3390/machines10070508.

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Resource-constrained product general assembly lines with complex processes face significant challenges in delivering orders on time. Accurate and efficient resources allocation of assembly lines remain a critical factor for punctual order delivery, full use of resources and associated customer satisfaction in complex production systems. In order to quickly solve the order-based dynamic resource allocation problem, in this paper a metamodel-based, multi-response optimization method is proposed for a complex product assembly line, which has the characteristics of order-based production, long wor

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Truong, Thuy Duy, Nguyen Huu Loc Khuu, Quoc Dien Le, Tran Thanh Cong Vu, Hoa Binh Tran, and Tuong Quan Vo. "A General Overview of Overhead Multi-Station Multi-Shuttle Systems and the Innovative Applications Trend in Vietnam." Applied Sciences 13, no. 19 (2023): 11036. http://dx.doi.org/10.3390/app131911036.

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Research and development on a global scale have been conducted on overhead hoist transportation systems (OHTSs) in recent years. The majority of these systems are utilized in manufacturing facilities that are either semiautomated or fully automated. By using stochastic models to evaluate medication distribution and product delivery processes in automated delivery systems, hospitals can reduce patient waiting times and drug response times. Warehouses are being transformed into fully automated fulfillment factories by using conveyors and shelf-lifting mobile robots, which reduce waiting times an

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18

Rao, K. Eswara, Pandu Ranga Vital Terlapu, Paidi Annan Naidu, Tammineni Ravi Kumar, and Bala Murali Pydi. "Feature importance for software development effort estimation using multi level ensemble approaches." Bulletin of Electrical Engineering and Informatics 13, no. 2 (2024): 1090–102. http://dx.doi.org/10.11591/eei.v13i2.5531.

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Feature importance strategy that substantially impacts software development effort estimation (SDEE) can help lower the dimensionality of dataset size. SDEE models developed to estimate effort, time, and wealth required to accomplish a software product on a limited budget are used more frequently by project managers as decision-support tool effort estimation algorithms trained on a dataset containing essential elements to improve their estimation accuracy. Earlier research worked on creating and testing various estimation methods to get accurate. On the other hand, ensemble produces superior p

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19

Chutima, Parames, and Jurairat Chimrakhang. "Multi-objective worker allocation optimisation in a multiple U-line system." Assembly Automation 41, no. 4 (2021): 466–76. http://dx.doi.org/10.1108/aa-12-2020-0198.

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Purpose This paper aims to evaluate two operational modes of the worker allocation problem (WAP) in the multiple U-line system (MULS). Five objectives are optimised simultaneously for the most complicated operational modes, i.e. machine-dominant working and fixed-station walking. Besides, the benefits of using multiline workstations (MLWs) are investigated. Design/methodology/approach The elite non-dominated sorting differential evolutionary III (ENSDE III) algorithm is developed as a solution technique. Also, the largest remaining available time heuristic is proposed as a baseline in determin

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20

Caputo, Antonio C., Pacifico M. Pelagagge, and Paolo Salini. "A decision model for selecting parts feeding policies in assembly lines." Industrial Management & Data Systems 115, no. 6 (2015): 974–1003. http://dx.doi.org/10.1108/imds-02-2015-0054.

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Purpose – The purpose of this paper is to develop an optimization model allowing the choice of parts feeding policy to assembly lines in order to minimize total cost. Design/methodology/approach – An integer linear programming mathematical model is developed to assign the optimal material feeding policy to each part type. The model allows choice between kitting, line stocking and just in time delivery policies. Findings – The choice of assembly lines feeding policy is not trivial and requires a thorough economic comparison of alternatives. It is found that a proper mix of parts feeding policie

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21

Cirilo, Elder, Ingrid Nunes, Uirá Kulesza, and Carlos Lucena. "Automating the product derivation process of multi-agent systems product lines." Journal of Systems and Software 85, no. 2 (2012): 258–76. http://dx.doi.org/10.1016/j.jss.2011.04.066.

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22

Markatos, Nikolaos Grigorios, Alireza Mousavi, Giulia Pippione, and Roberto Paoletti. "Industry 4.0-Based Framework for Real-Time Prediction of Output Power of Multi-Emitter Laser Modules during the Assembly Process." Electronics 12, no. 3 (2023): 766. http://dx.doi.org/10.3390/electronics12030766.

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The challenges of defects in manufacturing and assembly processes in optoelectronic industry continue to persist. Defective products cause increased time to completion (cycle time), energy consumption, cost, and loss of precious material. A complex laser assembly process is studied with the aim of minimising the generation of defective laser modules. Subsequently, relevant data were gathered to investigate machine learning and artificial intelligence methods to predict the output beam power of the module during the assembly process. The assembly process was divided into a number of chain steps

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23

Zhao, Rongli, Guangxin Zou, Qianyi Su, et al. "Digital Twins-Based Production Line Design and Simulation Optimization of Large-Scale Mobile Phone Assembly Workshop." Machines 10, no. 5 (2022): 367. http://dx.doi.org/10.3390/machines10050367.

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The mobile phone is a typical 3C electronic product characterized by frequent replacement, multiple product specifications, high flexibility, high-frequency production line switching, and urgent delivery time during production. Therefore, the optimized design of the mobile phone production workshop is crucial. This paper takes the assembly process of a specific type of mobile phone assembly as the research object and adopts the heuristic balance method to combine the production procedures. Moreover, it considers the automation degree of the process and the demand for production line rhythm to

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Mirzamohammadi, Saeed, Saeed Karimi, and Mir Saman Pishvaee. "A novel cost allocation method applying fuzzy DEMATEL technique." Kybernetes 49, no. 10 (2019): 2569–87. http://dx.doi.org/10.1108/k-07-2019-0513.

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Purpose The purpose of this paper is to develop a new systematic method for a multi-unit organization to cope with the cost allocation problem, which is an extension of the reciprocal method. As uncertainty is the inherent characteristic of business environments, assuming changes in engaged parameters is almost necessary. The outputs of the model determine the total value of each unit/business lines or product. Design/methodology/approach In the proposed method, contrary to existing models, business units are able to transfer their costs to other units, and also, not necessarily transfer the t

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Tseng, Shih-Hsien, Hui Ming Wee, Pei Shen Song, and Schnell Jeng. "Optimal green supply-chain model design considering full truckload." Kybernetes 48, no. 9 (2019): 2150–74. http://dx.doi.org/10.1108/k-07-2018-0415.

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Purpose Supply chain management (SCM) focuses smart logistics and quality service. Diverse elements such as design, procurement, production and sale policies are the keys to SCM efficiency. Due to worsening environmental pollution in recent years, many businesses, government agencies and consumers have become more aware of greenhouse gases (GHG) emissions. In response, the government has established new environmental regulations to control various GHG, such as CO2 and sulfur dioxide. Therefore, to reduce pollution and its adverse effects, the authors have promoted environmental concerns by dev

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Romanovski, I., and P. E. Caines. "On the supervisory control of multi-agent product systems: Controllability properties." Systems & Control Letters 56, no. 2 (2007): 113–21. http://dx.doi.org/10.1016/j.sysconle.2006.08.010.

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Serebrenny, V. V. "Collaborative Multiagent Systems — an Alternative to Full Automation of Production." Mekhatronika, Avtomatizatsiya, Upravlenie 21, no. 7 (2020): 404–11. http://dx.doi.org/10.17587/mau.21.404-411.

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The paper proposes a new approach as an alternative to full automation of processes that meets current economic trends — collaborative multi-agent systems. In this concept, people and robots are considered as agents in a single sensory-information field, who perform tasks to achieve the goals of the collaborative multi-agent system. The urgency of collaborative multi-agent systems results from the fact that the industrial use of fully automated multi-component systems is limited by the financial and infrastructural unavailability of various industries to switch to completely unmanned technolog

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Mariani, Stefano, and Andrea Omicini. "Special Issue “Advances in Multi-Agent Systems”: Editorial." Applied Sciences 13, no. 5 (2023): 3027. http://dx.doi.org/10.3390/app13053027.

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Multi-agent systems (MAS) are collections of autonomous computational entities (the agents) capable of pro-actively pursuing goals and re-actively adapting to environment change. Agents in MAS exploit their social abilities, interacting with peers, and their situated capabilities as well, by perceiving and acting on the world around them. From distributed computing to intelligent systems, the relevance of agents and MAS as software abstractions is steadily growing as they are extensively and increasingly used to model, simulate, and build heterogeneous systems across a huge variety of diverse

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Krysanov, D., O. Dragan, and K. Tkachenko. "The agricultural sector of the economy of Ukraine in the minds of increasing turbulence." Ekonomìka ta upravlìnnâ APK, no. 2(177) (December 27, 2022): 47–66. http://dx.doi.org/10.33245/2310-9262-2022-177-2-47-66.

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The article analyzes and systematizes the main problems of the development of various formations at the current stage in the conditions of increased turbulence, which is accompanied by the destruction of existing socio-economic systems and the emergence of new ones characterized by a higher level of self-organization. It has been established that chaotic development has now become a permanent characteristic of the functioning of various countries, system entities and economic actors, and their survival in such difficult conditions is mediated by the emergence of order from disorder and vice ve

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Beckenbach, Frank. "Multi-Agent Modelling of Resource Systems and Markets: Theoretical consideration and simulation results." Advances in Complex Systems 03, no. 01n04 (2000): 221–41. http://dx.doi.org/10.1142/s0219525900000170.

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In section 2 the importance of mas for the modern debate in non-canonized economic theory is sketched. Taking resource constraints, bounded rationality and local interaction as basic features of such a debate a mas architecture in which these features are present is provided in section 3. In section 4 conclusions are drawn and lines of further research are outlined.

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Dornhöfer, Mareike, Simon Sack, Johannes Zenkert, and Madjid Fathi. "Simulation of Smart Factory Processes Applying Multi-Agent-Systems—A Knowledge Management Perspective." Journal of Manufacturing and Materials Processing 4, no. 3 (2020): 89. http://dx.doi.org/10.3390/jmmp4030089.

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The implementation of Industry 4.0 and smart factory concepts changes the ways of manufacturing and production and requires the combination and interaction of different technologies and systems. The need for rapid implementation is steadily increasing as customers demand individualized products which are only possible if the production unit is smart and flexible. However, an existing factory cannot be transformed easily into a smart factory, especially not during operational mode. Therefore, designers and engineers require solutions which help to simulate the aspired change beforehand, thus ru

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Kovalenko, Ilya, Dawn Tilbury, and Kira Barton. "The model-based product agent: A control oriented architecture for intelligent products in multi-agent manufacturing systems." Control Engineering Practice 86 (May 2019): 105–17. http://dx.doi.org/10.1016/j.conengprac.2019.03.009.

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Wang, Ziyan, and Tianjian Yang. "Multi-Category Innovation and Encroachment Strategy Evolution of Composite E-Commerce Platform Based on Multi-Agent Simulation." Systems 10, no. 6 (2022): 215. http://dx.doi.org/10.3390/systems10060215.

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An in-depth study of the product encroachment behavior on the composite e-commerce platform is of great significance to standardize the platform economy. This paper studies product encroachment behavior of composite e-commerce platforms with double-differentiated multi-product competition and constructs a game model of product innovation by an independent seller and product encroachment by the platform owner. Using multi-agent simulation, we simulate the bounded rational decision-making and interaction process of multiple agents in multiple periods and analyze the main parameters’ influence. R

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Fischer, Juliane, Marga Marcos, and Birgit Vogel-Heuser. "Model-based development of a multi-agent system for controlling material flow systems." at - Automatisierungstechnik 66, no. 5 (2018): 438–48. http://dx.doi.org/10.1515/auto-2017-0107.

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Abstract The rising number of product variants requires flexible manufacturing systems, including their internal material flow systems (MFSs). An approach to design MFSs reconfigurably is the use of a decentralized control based on software agents. For implementing an agent-based control approach for MFSs this paper presents a meta model describing the knowledge base of individual agents and the overall control task to be fulfilled by the MFS.

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CAO, JIAN, and SHENSHENG ZHANG. "AN INTEGRATED MULTI-AGENT CSCW SYSTEM FOR CONCURRENT PRODUCT DEVELOPMENT." International Journal of Information Technology & Decision Making 01, no. 03 (2002): 423–40. http://dx.doi.org/10.1142/s0219622002000270.

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Product development capability is more and more important for an enterprise in a knowledge-based economic era. In the philosophy of concurrent engineering, product development should be carried out in a concurrent way. Computer support is necessary for Concurrent Product Development (CPD). As an excellent tool to meet complex needs, CSCW has been used in CPD. But nearly all CSCW systems that have been developed so far concentrate on a more or less narrow sub-field of cooperative work. Thus, the need of integrated CSCW applications are apparent. The agent is a suitable programming paradigm that

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Wang, Chunping, Jiaqi Wang, Ping Wu, and Jinfeng Gao. "Consensus Problem and Formation Control for Heterogeneous Multi-Agent Systems with Switching Topologies." Electronics 11, no. 16 (2022): 2598. http://dx.doi.org/10.3390/electronics11162598.

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The cooperative control problem of discrete-time multi-agent systems (MASs) is discussed, and bounded uncertain time-delays and directed switching topologies are considered. By applying model transformations and matrix theory, an augmented system method is introduced to handle a heterogeneous time-delay MAS. Then, the consensus problem of the system is turned to the convergence issue of the product of innumerable row stochastic matrices. Sufficient conditions for asymptotic consensus of the system under directed switching topologies are obtained. Moreover, a novel consensus-based formation con

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Hamza, Ameer, Syed Tahir Hussain Rizvi, Muhammad Umair Safder, and Haleema Asif. "A Novel Mathematical Approach to Model Multi-Agent-Based Main Grid and Microgrid Networks for Complete System Analysis." Machines 10, no. 2 (2022): 110. http://dx.doi.org/10.3390/machines10020110.

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Penetration of renewable energy resources in modern power systems has increased rapidly. The integration of different renewable and nonrenewable resources for the purpose of electricity generation is referred to as Distributed Generation (DG) units. The penetration of DG units gave birth to the concept of power microgrid. Power inverters play a major role in the integration of DGs in the power system. Control and stability analysis of microgrids in power systems is a challenging task for the control community. Dynamic microgrid modeling demands knowledge of fundamental engineering laws to deta

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Mansour, Khalid, Yaser Al-Lahham, Safeyah Tawil, Ryszard Kowalczyk, and Ahmad Al-Qerem. "An Effective Negotiation Strategy for Quantitative and Qualitative Issues in Multi-Agent Systems." Electronics 11, no. 17 (2022): 2754. http://dx.doi.org/10.3390/electronics11172754.

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Automated negotiation is an efficient approach for interaction in multi-agent systems in which agents exchange offers and counteroffers to conclude an agreement. This paper addresses the problem of offer formulation during the interaction between buyer and seller software agents for the purpose of reaching an agreement over quantitative and qualitative issues at once. In order to improve the outcome of the negotiation process, a hybrid negotiation method is presented and verified. Offer formulation is based on fuzzy similarity and preference-based methods. The preference-based mechanism is use

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Belousova, Maria, Roman Aleshko, Rafina Zakieva, Malvina Karabasheva, Sergey Gorovoy, and Sultanbek Kozhemov. "Development of equipment management system with monitoring of working characteristics of technological processes." Journal of Applied Engineering Science 19, no. 1 (2021): 186–92. http://dx.doi.org/10.5937/jaes0-28855.

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The work provides multi-purpose optimization of the baklava production process based on technology of agent systems, the intelligent environment of process control systems. The general architecture of the control system intelligent environment with agent technologies for recognizing abnormal situations was developed and adaptive baklava production regulators were synthesized. It allows you to get the specified dynamic characteristics of the control object based on the developed adaptive systems for adjusting the PID controllers, controlling the parameters of the dough, kneading, separation and

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Avkhimenia, Vadim, Matheus Gemignani, Tim Weis, and Petr Musilek. "Deep Reinforcement Learning-Based Operation of Transmission Battery Storage with Dynamic Thermal Line Rating." Energies 15, no. 23 (2022): 9032. http://dx.doi.org/10.3390/en15239032.

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It is well known that dynamic thermal line rating has the potential to use power transmission infrastructure more effectively by allowing higher currents when lines are cooler; however, it is not commonly implemented. Some of the barriers to implementation can be mitigated using modern battery energy storage systems. This paper proposes a combination of dynamic thermal line rating and battery use through the application of deep reinforcement learning. In particular, several algorithms based on deep deterministic policy gradient and soft actor critic are examined, in both single- and multi-agen

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Kopei, Volodymyr, Oleh Onysko, Cristian Barz, Predrag Dašić, and Vitalii Panchuk. "Designing a Multi-Agent PLM System for Threaded Connections Using the Principle of Isomorphism of Regularities of Complex Systems." Machines 11, no. 2 (2023): 263. http://dx.doi.org/10.3390/machines11020263.

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The PLM concept implies the use of heterogeneous information resources at different stages of the product life cycle, the joint work of which allows the user to effectively solve the problems of product quality and various costs. According to the principle of isomorphism of complex systems’ regularities, an effective PLM system must have these regularities. Unfortunately, this principle is not often fundamental when designing PLM systems. The purpose of this paper is to develop principles, based on the general theory of systems, for the design, operation and use of PLM systems and the implemen

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Hazra, Tanmoy, C. R. S. Kumar, and Manisha Nene. "Multi-agent target searching with time constraints using game-theoretic approaches." Kybernetes 46, no. 8 (2017): 1278–302. http://dx.doi.org/10.1108/k-01-2017-0039.

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Purpose The purpose of this paper is to propose a model for a target searching problem in a two-dimensional region with time constraints. The proposed model facilitates the search operation by minimizing the mission time and fuel usage, and the search operation is performed by a set of agents divided into a number of groups. Design/methodology/approach The authors have applied optimization techniques, Cartesian product, inclusion–exclusion principle, cooperative strategy, Shapley value, fuzzy Shapley function and Choquet integral to model the problem. Findings The proposed technique optimizes

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Caridi, Maria, and Andrea Sianesi. "Multi-agent systems in production planning and control: An application to the scheduling of mixed-model assembly lines." International Journal of Production Economics 68, no. 1 (2000): 29–42. http://dx.doi.org/10.1016/s0925-5273(99)00097-3.

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Kuznetsov, B. I., T. B. Nikitina, I. V. Bovdui, O. V. Voloshko, V. V. Kolomiets, and B. B. Kobylianskyi. "The method of multi-objective parametric design of magnetic field active canceling robust system for residential multy-story buildings closed to double-circuit overhead power lines." Electrical Engineering & Electromechanics, no. 2 (March 5, 2023): 27–36. http://dx.doi.org/10.20998/2074-272x.2023.2.05.

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Aim. Development the method of multi-objective parametric design for robust system of active canceling of magnetic field based on binary preference relations of local objective for multi-objective minimax optimization problem. Methodology. Spatial location coordinates of the compensating winding and the current in the shielding winding were determined during the preference-based multi-objective parametric design of systems of active canceling based on solution of the vector minimax optimization, in whith the vector objective function calculated based on Biot-Savart's law. The solution of this

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Farid, A. M., and D. C. McFarlane. "Production degrees of freedom as manufacturing system reconfiguration potential measures." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 222, no. 10 (2008): 1301–14. http://dx.doi.org/10.1243/09544054jem1056.

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In recent years, many design approaches have been developed for automated manufacturing systems in the fields of reconfigurable manufacturing systems (RMSs), holonic manufacturing systems (HMSs), and multi-agent systems (MASs). One of the principle reasons for these developments has been to enhance the reconfigurability of a manufacturing system, allowing it to adapt readily to changes over time. However, to date, reconfigurability assessment has been limited. Hence, the efficacy of these design approaches remains inconclusive. This paper is the first of two in this issue to address reconfigur

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Wang, W. M., J. W. Wang, A. V. Barenji, Zhi Li, and Eric Tsui. "Modeling of individual customer delivery satisfaction: an AutoML and multi-agent system approach." Industrial Management & Data Systems 119, no. 4 (2019): 840–66. http://dx.doi.org/10.1108/imds-07-2018-0279.

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Purpose The purpose of this paper is to propose an automated machine learning (AutoML) and multi-agent system approach to improve overall product delivery satisfaction under limited resources. Design/methodology/approach An AutoML method is purposed to model delivery satisfaction of individual customer, and a heuristic method and multi-agent system are proposed to improve overall satisfaction under limited processing capability. A series of simulation experiments have been conducted to illustrate the effectiveness of the proposed methodology. Findings The simulated results show that the propos

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Wang, Ziyan, and Tianjian Yang. "Research on the Product Positioning Strategy of the Independent Seller under Platform Encroachment." Systems 12, no. 1 (2024): 36. http://dx.doi.org/10.3390/systems12010036.

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The platform owner promotes the transaction between independent sellers and consumers, while entering the marketplace of independent sellers to compete with them for consumers. Faced with the threat of platform encroachment, independent sellers establish their own competitive advantages through ex ante category quality selection and ex post product differentiation. This study discusses how independent sellers should determine product positioning (including vertical and horizontal dimensions) in the face of platform category encroachment. We establish a game model and determine the best strateg

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Janssen, Marco A., and Wander Jager. "Psychological factors affecting market dynamics: the role of uncertainty and need satisfaction." Advances in Complex Systems 03, no. 01n04 (2000): 323–34. http://dx.doi.org/10.1142/s0219525900000236.

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Markets can show different types of dynamics, ranging from stable markets dominated by one or a few products, to fluctuating markets where products are frequently being replaced by new versions. This paper explores the dynamics of markets from a psychological perspective using a multi-agent simulation model. The behavioural rules of the artificial consumers, the consumats, are based on a conceptual meta-theory from psychology. The artificial consumers have to choose each period between different products. Products remain on the market for as long as their market share exceeds a minimum level.

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Liu, Meichen, Yandong Li, Ling Zhu, Yuan Guo, and Bohao Liu. "Formation Control for Mixed-Order UAVs–USVs–UUVs Systems under Cooperative and Optimal Control." Journal of Marine Science and Engineering 11, no. 4 (2023): 704. http://dx.doi.org/10.3390/jmse11040704.

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In this paper, cooperative control and optimal control methods are used for the formation control of mixed-order heterogeneous multi-agent systems. The system consists of unmanned aerial vehicles (UAVs), unmanned surface vehicles (USVs), and unmanned underwater vehicles (UUVs). The system is represented in a state space using a block Kronecker product. The static and dynamic formation control protocols are proposed respectively, and the graph theory is used to prove that formation control protocols can realize system formation. Furthermore, the optimal control and cooperative control are intro

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Baldassarre, Francesca, Angelo De Stradis, Giuseppe Altamura, et al. "Application of calcium carbonate nanocarriers for controlled release of phytodrugs against Xylella fastidiosa pathogen." Pure and Applied Chemistry 92, no. 3 (2020): 429–44. http://dx.doi.org/10.1515/pac-2018-1223.

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AbstractCalcium carbonate-based hollow or porous particles are one of the preferred carriers for fabrication of drug delivery systems. We have developed an eco-friendly method to produce calcium carbonate nanocrystals, which have shown biocompatibility and optimal capacity to across cell membrane in human cell lines providing new tools in cancer therapy. The success of drug delivery systems has paved the way for the development of systems for controlled release of agrochemicals. In this work, we exploited calcium carbonate nanocrystals as carriers for targeted release of phytodrugs investigati

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