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SARKER, BHABA R., and YI XU. "Designing multi-product lines: job routing in cellular manufacturing systems." IIE Transactions 32, no. 3 (March 2000): 219–35. http://dx.doi.org/10.1080/07408170008963894.
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Ochoa, Lina, Oscar González-Rojas, Nicolás Cardozo, Alvaro González, Jaime Chavarriaga, Rubby Casallas, and Juan Francisco Díaz. "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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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 (June 28, 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 the existing metro lines. In this research, an answer was sought to the question of whether a metro line designed with an approach based on swarm intelligence could be compatible with the existing line. The paper aims to develop a model that guides the design processes of metro lines by using swarm intelligence and shortest path finding strategies of slime moulds in a computational model. In the model, slime moulds were represented by multi-agent systems. The metro route was produced by the model using the station locations on an existing metro line selected as the study area. The agent-based simulation model was developed in the Grasshopper Physarealm plug-in environment. In the first stage of the model, a numerical model was created using the data and parameters of an existing metro line. In the second stage, the simulation was carried out to create a new route by preserving only the station locations of the existing metro line. Finally, the existing metro route and the route developed with the simulation model based on the intelligent agent behaviour in the digital environment were compared by overlapping. The results show that the route created by slime moulds only to reach the food is almost the same as the currently designed metro line. Topography data is ignored in the model. It is seen that the model developed by using metro design criteria is an important decision support aid for designers in determining metro routes.
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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 (January 5, 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 variability. The results show that milkruns can protect the assembly lines from upstream process disturbances.
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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 (January 20, 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 (April 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 Building (SB) and Release Management (RM) [I. Sommerville, Software Engineering, 9th edn. (Addison-Wesley, 2010)]. The aim of this paper is to provide ChM and VM models for evolutionary-based SPL system development and maintenance. The proposed models support any level of aggregation in SPLs and have been applied to Mobile SPL as a case study.
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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 (January 3, 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 shifted from ‘process focus’ to ‘market/product’ driven research and technological developments addressing production capability, product quality, pilot production lines and sustainability, there is clearly a need for micro-manufacturing research to adopt integrated, multidisciplinary approaches to address development-related issues concurrently, in order to shorten the development cycles for product realisation. It is believed that to transfer laboratory processes to industrial applications within much shorter timescales, the associated issues should be addressed with collaborations among different, relevant disciplines. European Union–funded integrated projects have demonstrated such efforts. Product development–centred approaches brought in expertise and resources in product design, material, analysis, testing, tools, machines, automation and manufacturing system integration as well as in life-cycle engineering to address the development needs. At the same time, due to ever updated interests in new products and enabling manufacturing technologies with a view to meeting increased demands from, for example, healthcare, on quality of life, for wealth creation, social engagement and sustainable development, there are new challenges to micro- and nano-manufacturing research, which also suggest tremendous opportunities.
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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 (July 19, 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 product complexity, fixture sensors and an indoor positioning system (IPS) were designed and this multi sensor data merged with product-relevant information. The proposed model-based performance monitoring system tracks the recursively estimated parameters of the activity-time estimation model. As the estimation problem can be ill-conditioned and poor raw sensor data can result in unrealistic parameter estimates, constraints were introduced into the parameter-estimation algorithm to increase the robustness of the software sensor. The applicability of the proposed methodology is demonstrated on a well-documented benchmark problem of a wire harness manufacturing process. The fully reproducible and realistic simulation study confirms that the indoor positioning system-based integration of primary sensor signals and product-relevant information can be efficiently utilized in terms of the constrained recursive estimation of the operator activity.
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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 (April 27, 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 production lines in the model share the same limited-capacity module designed for inventory planning. To this end, the present model offers an efficient solution for executing a multi-product, multi-period production line by finding the most satisfactory strategy to match the right product with the useable capacity leading to profit maximization. The present approach is capable of coping with varying demands by offering a detailed costing procedure and implementing an effective inventory model.
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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 (January 2010): 35–46. http://dx.doi.org/10.1016/j.jmsy.2010.08.001.
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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 sequence of the jobs on the machining lines. Only by collaborating on the production scheduling schemes of the machine line and the assembly line as a whole can the output efficiency of the product on the assembly line be improved. An improved hybrid multi-objective optimization algorithm named SMOEA/D is designed to solve this scheduling model. The algorithm uses adaptive parents’ selection and mutation rate strategies and integrates the Tabu search strategy for the search process in the solution space when the solution of the sub-problem has not been improved after specified search generations, to improve the local search ability and search accuracy of MOEA/D algorithm. To verify the performance of the SMOEA/D algorithm in solving machining-assembly collaborative scheduling problems in production systems with different resource configurations and scales, two sets of numerical experiments were designed, corresponding to situations where the number of operations on each production line is equal or unequal. The running results of the proposed algorithm were compared with three other well-known multi-objective algorithms. The comparison results indicate that the SMOEA/D algorithm is effective and superior for solving such problems.
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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 (March 8, 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 control strategy (EKCS) and generalised kanban control strategy (GKCS) as well as the shared versions of EKCS and GKCS. All‐pairwise comparisons and a ranking and selection technique were employed to compare the performances of the strategies and select the best strategy without consideration of robustness to uncertainty. A latin hypercube sampling experimental design and stochastic dominance testing were utilised to determine the preferred strategy when robustness to uncertainty is considered.FindingsThe findings of this work show that shared GKCS outperforms other strategies when robustness is not considered. However, when robustness of the strategies to uncertainty in the production environment is considered, the results of our research show that the dedicated EKCS is preferred. The effect of system bottleneck location on the inventory accumulation behaviour of different strategies is reported and this was also observed to have a relationship to the nature of a PCS's kanban information transmission.Practical implicationsThe findings of this study are directly relevant to industry where increasing market pressures for product diversity require operating multi‐product production lines with negligible set‐up times. The optimization and robustness test approaches employed in this work can be extended to the analysis of more complicated system configurations and higher number of product types.Originality/valueThis work involves further investigation into the performance of multi‐product kanban‐like PCS by examining their robustness to common sources of uncertainties after they have been initially optimized for base scenarios. The results of the robustness tests also provide new insights into how dedicated kanban card allocation policies might offer higher flexibility and robustness over shared policies under conditions of uncertainty.
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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 (September 5, 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 improving planning capability for such systems by means of developing an optimization methodology. Design/methodology/approach Two linear integer programming models are proposed to balance a multi-model walking-worker assembly line optimally in a sequential manner. The first mathematical programming model attempts to determine number of workers in each segment (i.e. rabbit chase loop) for each model. The second model generates stations in each segment to smooth workflow. What is more, heuristic algorithms are provided due to computational burden of mathematical programming models. Two segment generation heuristic algorithms and a station generation heuristic algorithm are provided for the addressed problem. Findings The application of the mathematical programming approach improved the performance of a tap-off box assembly line in terms of number of workers (9.1 per cent) and non-value-added time ratio (between 27.9 and 26.1 per cent for different models) when compared to a classical assembly system design. In addition, the proposed approach (i.e. segmented walking-worker assembly line) provided a more convenient working environment (28.1 and 40.8 per cent shorter walking distance for different models) in contrast with the overall walking-worker assembly line. Meanwhile, segment generation heuristics yielded reduction in labour requirement for a considerable number (43.7 and 49.1 per cent) of test problems. Finally, gaps between the objective values and the lower bounds have been observed as 8.3 per cent (Segment Generation Heuristic 1) and 6.1 (Segment Generation Heuristic 2). Practical implications The proposed study presents a decision support for walking-worker line balancing with high level of solution quality and computational performance for even large-sized assembly systems. That being the case, it contributes to the management of real-life assembly systems in terms of labour planning and ergonomics. Owing to the fact that the methodology has the potential of reducing labour requirement, it will present the opportunity of utilizing freed-up capacity for new lines in the start-up period or other bottleneck processes. In addition, this study offers a working environment where skill of the workers can be improved within reasonable walking distances. Originality/value To the best knowledge of the author, workload balancing on multi-model walking-worker assembly lines with rabbit chase loop(s) has not yet been handled. Addressing this research gap, this paper presents a methodology including mathematical programming models and heuristic algorithms to solve the multi-model walking-worker assembly line balancing problem for the first time.
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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 (June 23, 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 working time of processes, multiple work area re-entry and restricted operator quantity. Considering the complexity of the assembly line and the uncertainty of orders, the correlation between system performance indicators and resource parameters is investigated. Multiple metamodels are constructed by the Response Surface Methodology to predict and optimize the system performance. The adequacy of the constructed metamodels is verified and validated based on the bootstrap resampling method. Under the condition of ensuring the throughput demand of the assembly line, the desirability function is applied to simultaneously optimize the multi-response, and the resource allocation solution is generated. The method in this paper can be used to rapidly adjust the resource configuration of the assembly line when considering the order changes.
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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 (October 7, 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 and improve efficiency. Modern warehouses are increasingly becoming fully automated fulfillment facilities as a response to the significant development of e-commerce. A significant number of organizations are using mobile robots or conveyor systems to transport shelves. The parts-to-picker model is used to transport stock-keeping units (SKUs) to stationary pickers at picking workstations. The aim of this study is to analyze and organize the relationship between transportation system families. They are utilized in various fields, such as warehouses, hospitals, airports, cross-dockings, etc. Furthermore, this study categorizes a range of synchronization issues that arise from minor variations in workstation configurations within different warehouse settings. Next, we identify a multistation ATS (automatic transportation system) that switches lines to different stations by using overhead conveyors and active line-switching devices. Vietnam’s automated freight problem can be solved with this potential solution. Our study’s findings suggest that enhancing the workstation layout can significantly enhance throughput performance. As a result, the benefits of synchronization can surpass those provided by other well-studied decision tasks.
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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 (April 1, 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 prediction accuracy than single approaches. Therefore, this study aims to identify, develop, and deploy an ensemble approach feasible and practical for forecasting software development activities with limited time and minimum effort. This paper proposed a collaborative system containing a multi-level ensemble approach. The first level grabs the optimal features by adopting boosting techniques that impact the decided target; this subset features forward to the second level developed by a stacked ensemble to compute the product development effort concerning lines of code (LOC) and actual. The proposed model yields high accuracy and is more accurate than distinct models.
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Chutima, Parames, and Jurairat Chimrakhang. "Multi-objective worker allocation optimisation in a multiple U-line system." Assembly Automation 41, no. 4 (June 10, 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 determining the number and utilisation of workers when the use of MLWs is not allowed. Findings ENSDE III outperforms the cutting-edged multi-objective evolutionary algorithms, i.e. multi-objective evolutionary algorithm based on decomposition and non-dominated sorting differential evolutionary III, under two key Pareto metrics, i.e. generational distance and inverted generational distance, regardless of the problem size. The best-found number of workers from ENSDE III is substantially lower than the upper bound. The MULS with MLWs requires fewer workers than the one without. Research limitations/implications Although this research has extended several issues in the basic model of multiple U-line systems, some assumptions were used to facilitate mathematical computation as follows. The U-line system in this research assumed that all lines were produced only a single product. Besides, all workers were well-trained to gain the same skill. These assumptions could be extended in the future. Practical implications The implication of this research is the benefits of multiline workstations (MLWs) used in the multiple U-line system. Instead of leaving each individual line to operate independently, all lines should be working in parallel through the use of MLWs to gain benefits in terms of worker reduction, balancing worker’s workload, higher system utilisation. Originality/value This research is the first to address the WAP in the MULS with machine-dominant working and fixed-station walking modes. Worker’s fatigue due to standing and walking while working is incorporated into the model. The novel ENSDE III algorithm is developed to optimise the multi-objective WAP in a Pareto sense. The benefits of exploiting MLWs are also illustrated.
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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 (July 13, 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 policies may be better that adopting a single material delivery policy for all parts. Research limitations/implications – The model is aimed at single-model assembly lines operating in a deterministic environment, but can be extended to the multi-model line case. While relevant quantitative cost drivers are included, some context-related qualitative factors are not included yet. The model assumes that information about product structure and part requirements are known and that a preliminary design of the assembly system has been carried out. Practical implications – Production managers are given a quantitative-decision tool to determine the optimal mix of material supply policies at an early decision stage. Originality/value – Respect previous simplified literature models, this approach allows to quantify a number of additional factors which are critical for successful implementation of cost-effective parts feeding systems, allowing comparison of alternative policies on a consistent basis.
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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 (February 2012): 258–76. http://dx.doi.org/10.1016/j.jss.2011.04.066.
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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 (February 2, 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, where we implemented a bespoke framework of hybrid feature selection method alongside artificial neural networks (ANNs) to formulate the statistical inferences. A review of existing learning methods in manufacturing and assembly processes enabled us to select XGBoost and random forest regression (RFR) as the two methods to be compared with ANN, based on their capabilities; ANN outperformed both of them, as it avoided overfitting and scored similar test metrics in the majority of the assembly steps. The results of the proposed solution have been validated in a real production dataset, even showing good predictive capability in the early steps of the assembly process where the available information is limited. Furthermore, the transferability of the framework was validated by applying the proposed framework to another product that follows a similar assembly process. The results indicated that the proposed framework has the potential to serve as the foundation for further research on laser modules’ sophisticated and multi-step assembly lines.
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Zhao, Rongli, Guangxin Zou, Qianyi Su, Shangwen Zou, Wenshun Deng, Ailin Yu, and Hao Zhang. "Digital Twins-Based Production Line Design and Simulation Optimization of Large-Scale Mobile Phone Assembly Workshop." Machines 10, no. 5 (May 11, 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 carry out station division and working hours design for the assembly process. The advantages and disadvantages of the plug-and-play production line and unit production line architecture are integrated, aiming at the production line’s construction cost and unit area capacity. A hybrid workshop with a mixed combination of two types of production lines is designed and an optimization model of hybrid workshop design is established. The semi-physical simulation technology of digital twins is utilized to verify the proposed design scheme to achieve the balance optimization of the production line, improve production efficiency, and reduce production costs. This work provides a technical scheme for designing and optimizing large-scale mobile phone assembly workshops with multi-batch and high-frequency production changes.
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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 (November 22, 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 total costs of support units completely. The DEMATEL approach, which finds all relationships between different parts of a system, is also applied for computing effects of the units’ expense paid to each other. Moreover, a fuzzification approach is used to capture linguistic experts’ judgments about related data. Findings Being closer to the real-world problem in comparison to the previous approach, the proposed systematic approach encompasses the other cost allocation models. Practical implications Applying the proposed model for a system like a multi-unit organization, the total price of each unit/business line can be obtained. Moreover, this cost allocation process guides the related decision-makers to better manage the expenses that each unit pays the others. Originality/value In the existing studies, business units cannot pay expense support units. However, in the proposed method, the business units are able to pay expenses for other units, and also, not necessarily pay total expenses for support unit completely. Moreover, considering engaged parameters as fuzzy numbers makes the proposed model closer to real-world problems.
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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 (October 7, 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 developing environmental friendly policies. The purpose of this paper is to develop a multi-objective decision making model that integrates both forward and reverse logistics to determine how best to incorporate recycling and reduce manufacturing costs. Design/methodology/approach In this study, the authors developed a multi-objective decision-making model that integrates both forward and reverse logistics to determine how best to incorporate recycling and reduce manufacturing costs. They used the normalized normal constraint method as proposed by Messac et al. (2003) to generate a series of uniform lines on a Pareto Frontier chart. Findings Based on the results of this study, the authors can determine the trade-off between costs and emissions and design the most environmental-friendly and economical strategy for production. Research limitations/implications This study is limited to a case study on paper manufacturing. Practical implications The authors considered the full truckload discount policy in which buyers can reduce their purchase costs by increasing the number of full truckload product orders; this will reduce transportation costs and also minimize overall carbon emissions. Social implications This study encourages industries to focus on environmental friend policies and social responsibilities. Originality/value The authors investigated the impacts of the paper making industry on economy and environment. An increase in demand will negatively impact the environment by causing CO2 emissions to increase from higher production and the felling of more trees to provide raw materials for manufacturers (paper mills).
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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 (February 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 (July 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 technologies. The proposed approach combines the latest, but remaining quite recouped, technological advances along with highly skilled human labor. The use of collaborative multi-agent systems will be economically justified in the manufacture of products in small batches, in the conditions of rapid change of product lines, as well as the presence of staff shortages. The article shows that such an approach can significantly reduce automation costs, while ensuring that the specified production indicators are met. This approach allows taking a fresh look at a human, considering him and a robot as equal partners within a collaborative system. The basic concepts and distinctive characteristics of collaborative multi-agent systems are formulated and presented in the work, justifications for their use are given. Creating a new class of collaborative multi-agent systems requires solving a number of problems associated with the interaction of man and robot. The article considers issues related to the work of a person within a collaborative system, with a rational separation of human functions and an automated production system, in accordance with the necessary level of collaboration. The inclusion of a person with his psychoemotional and physical characteristics as an equivalent agent of a multi-agent system causes difficulties in formalizing collaborative multi-agent systems associated with the need to take these features into account and create a sensory-information system. The inclusion of a person with his psychoemotional and physical characteristics as an equivalent agent of a multi-agent system causes difficulties in formalizing collaborative multi-agent systems associated with the need to take these features into account and create a sensory-information system. The paper discusses ways to formalize a collaborative multi-agent system and management approaches.
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Mariani, Stefano, and Andrea Omicini. "Special Issue “Advances in Multi-Agent Systems”: Editorial." Applied Sciences 13, no. 5 (February 27, 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 application scenarios and business domains, ranging from industrial manufacturing to robotics, from social simulation to applications, and more. The recent, renewed popularity of AI techniques has further spread the adoption of MAS, focusing in particular on the cognitive capabilities of agents, so that intelligent systems can be modelled and built as MAS. Along those lines, this Special Issue gathers five contributions that well represent the many diverse advancements that are currently ongoing in the MAS field.
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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 versa. Changes and shifts in the agrarian sphere were, are, and will be especially complex and disorderly, where the natural and climatic, elementary soil and biological processes of growing agricultural products converge and interact at different levels and even at different times, in combination with the provision of their necessary resources, and as well as compliance with the optimal terms for harvesting a ripe crop. Attention is focused on the fact that the agricultural sector is permanently affected by shifts, challenges and turbulences occurring in the external environment, both directly in Ukraine and abroad. It was established that the sustainability of the agro-food complex in the conditions of intensification of turbulence lies in the ability to expand reproduction and ensure the growing needs of society in food, as well as overcoming the impact of threats and crises. It was found that the evaluation parameters of the sustainability of primary production and the food industry can be the production potential of the agricultural sector or its components (the sections, groups and classes of production units accepted in statistics), the scale of production and the structure of producers who perform work (produce goods, provide services) . The quantitative structure of producers at the end of the period is not less than at its beginning. The main absolute data and calculated indicators that were used in the selection of sustainable sections, groups and classes of production units were summarized, and the key characteristics of their development for 2010-2020 were systematized. It was established that the following groups of production units were sustainable in primary production: cultivation of perennial crops (01.2), plant reproduction (01.3), mixed agriculture (01.5), hunting, trapping and related services (01.7), forestry and other forestry activities (02.1), collection of wild non-timber products (02.3 ). In the food industry, the following statistical groups belong to the stable: 1) section: production of tobacco products (12); 2) groups: processing and canning of fruits and vegetables (10.3), production of oil and animal fats (10.4), production of dairy products (10.5), production of ready animal feed (10.9); 3) classes (arising from the differentiation of two multi-product groups: 10.8 Production of other food products and 11.0 Production of beverages): production of cocoa, chocolate and sugar confectionery (10.82), production of tea and coffee (10.83), production of spices and seasonings (10.84), production of ready-made food and meals (10.85), production of baby food and dietary food products (10.86), production of other food products, n.e.s. (not classified in other groups) (10.89), production of cider and other fruit and berry wines (11.03), production of beer (11.05). It was established that standard statistical groupings classified as stable can be combined and differentiated according to the following types of development (along the lines of actors/employees): a) the contingent of production units increased/maintained and the number of employees increased; b) the quota of production units increased/maintained, and the number of employees decreased; c) the number of production units increased/ maintained, the number of employees decreased, but the number of employees in SE increased; d) the number of production units and the number of employees increased, but the number of employees in the SE decreased. Systematized and summarized key areas of activity and features of intragroup transformations that influenced the formation of development trends of united standard groups of various orientations. Key words: market turbulence, trends and types of development of standard statistical groups, production units, primary production and food industry.
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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 (January 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 (September 9, 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 running realistic pre-tests without disturbing operations and production. New product lines may also be tested beforehand. Data and the deduced knowledge are key factors of the said transformation. One idea for simulation is applying artificial intelligence, in this case the method of multi-agent-systems (MAS), to simulate the inter-dependencies of different production units based on individually configured orders. Once the smart factory is running additional machine learning methods for feedback data of the different machine units may be applied for generating knowledge for improvement of processes and decision making. This paper describes the necessary interaction of manufacturing and knowledge-based solutions before showing an MAS use case implementation of a production line using Anylogic.
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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 (November 11, 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. Results indicate the following: (1) In dual-differentiated multi-product competition, the third-party seller is more willing to invest in innovating high-quality category P, and the profit-driven platform owner only encroaches on the new variants of category P. (2) The larger consumers’ platform owner preference can encourage the third-party seller to innovate high-quality new products. The increase in vertical differentiation of categories can enhance the third-party seller’s innovation motivation for the traffic-attracting category. (3) A reasonable commission rate set by the platform owner can ensure the variety of variants of various categories, thereby expanding the sales scope of the composite e-commerce platform. Diseconomies of scale of category diversity management costs hinder the growth of product variety in the online marketplace.
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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 (May 25, 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 (September 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 can be used to meet the complex needs. In this paper, a P-PROCE (Process, Product, Resource, Organization, Control & Evaluation) model is introduced for CPD firstly. By categorizing the agents of the multi-agent system (MAS) into different types of agent according to P-PROCE model and offering a structure of MAS, the CPD is mapped to MAS. The cooperation among agents is very important for MAS. In the paper, a two-layer cooperation structure of MAS is proposed. In the macro layer, agent based workflow control the CPD process and in the micro layer the entity agents interact with each other directly to fulfill the task. The key issues of these two cooperation layers are discussed in the paper. Component based structure of agent and an implemented case are also provided in the paper.
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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 (August 19, 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 control strategy is designed to gain sufficient and necessary conditions for the formation control of a second-order differential robot system. Finally, the effectiveness of the obtained results is verified through simulations.
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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 (February 1, 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 detailed theoretical analysis. To model the dynamic behavior of the power microgrid, a basic understanding of the power converter operation modes and their control schemes is necessary. The main microgrid modeling components are power converters, power lines, transformers, protection systems, load, and faults. In this paper, preliminary concepts of power systems along with graph theoretic approach are used to develop the model of the microgrid and main grid networks. A mathematical model of a power microgrid in islanded mode, as well as the grid-connected mode, is developed and comprises of generation sources, power inverter interface, protection mechanism, load, faults, and transmission lines. The developed mathematical model can be used to address the stability issues as well as resilience in the power networks for complete system analysis. To validate the mathematical model, a renewable energy-based main grid and microgrid model is simulated. The graphical result of simulated model presents the generation and load curves.
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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 (September 1, 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 used for quantitative issues, while the fuzzy similarity technique is used for qualitative issues. The preference-based mechanism takes into account the preferences of the opponent when generating offers; the agent makes greater concessions on the issues which the opponent prefers more. The fuzzy-similarity method formulates an offer that considers offering a deal that is more similar to the one received by the opponent during the last round of negotiation. The experiments consists of two parts. The first part compares the hybrid strategy with the basic one. The findings reveal that the hybrid strategy is better in all performance measures, namely, utility rate, agreement rate, and Nash product rate. The second part of the experimental work compares four mechanisms of offer generating mechanisms: basic, preference-based, fuzzy similarity, and hybrid. The results show that the hybrid negotiation strategy performs equal or better that other negotiation strategies. More details can be found in the paper.
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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 baking of baklava. The proposed approach to the construction of an automated process control system with an intelligent environment will reduce the variance of fluctuations in energy consumption, increase the production rate of high-quality baklava and reduce the time for re-equipment and technological modes of operation of baklava production lines.
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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 (November 29, 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-agent settings. The selected algorithms are used to control battery energy storage systems in a 6-bus test grid. The effects of load and transmissible power forecasting on the convergence of those algorithms are also examined. The soft actor critic algorithm performs best, followed by deep deterministic policy gradient, and their multi-agent versions in the same order. One-step forecasting of the load and ampacity does not provide any significant benefit for predicting battery action.
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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 (February 9, 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 implementation on their basis of the educational framework of a PLM system for threaded connections with the possibility of its effective development, research and study. The multi-agent approach to the development of a PLM system provides the necessary prerequisites for the emergence of system-wide regularities in it. The parallel work of agents is implemented using the actor model and the Ray Python-package. Agents for the logical inference of knowledge base facts, CAD/FEA/CAM/SCADA agents, agents for optimization by various methods, and other agents have been developed. Open-source software was used to develop the system. Each agent has relatively simple behavior, implemented by its rule function, and can interact with other agents. The system can work in interactive mode with the user or in automatic mode according to a simple algorithm: the rule functions of all agents are executed until at least one of them returns a value other than None. Examples of the system operation are given and system-wide regularities such as emergence, historicity and self-organization are demonstrated in it.
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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 (September 4, 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 the placement of base stations that minimizes the sortie length of the agents. The results show that the cooperative strategy outperforms the non-cooperative strategy. The Shapley values quantify the rewards of each group based on their contributions to the search operation, whereas the fuzzy Shapley values determine the rewards of each group based on their contributions and level of cooperation in the search operation. Practical implications The proposed model can be applied to model many real-time problems such as patrolling in international borders, urban areas, forests and managing rescue operations after natural calamities, etc. Therefore, defence organizations, police departments and other operation management sectors will be benefitted by applying the proposed approach. Originality/value To the best of the authors’ knowledge, determining the optimal locations of base stations in a region is not explored in the existing works on target searching problems with fuel constraints. The proposed approach to cooperatively search the targets in a region is new. Introducing the Shapley function and fuzzy Shapley function is a novel idea to quantify the rewards of each group based on their contributions and level of cooperation in the search operation. This paper addresses these unexplored areas.
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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 (October 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 vector minimax optimization problem calculated based on nonlinear Archimedes algorithm. Components of Jacobi matrix and Hesse matrix calculated based on multi-swarm multi-agent optimization. Results. Theoretically and experimentally confirmed the effectiveness of reducing the level of the magnetic field in residential multy-storey old building of a double-circuit overhead power transmission lines with a barrel-type arrangement of wires by means of active shielding with two compensation winding. Originality. 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 is developed. Practical value. It is shown the possibility to reduce the level of magnetic field in residential multy-storey old building closed to double-circuit overhead power transmission lines with a barrel-type arrangement of wires by means of system of active canceling with two canceling winding to a level safe for the population with an induction of 0.5 μT.
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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 (October 1, 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 reconfigurability measurement. Specifically, it seeks to address ‘reconfiguration potential’ by analogy. Mechanical degrees of freedom have been used in the field of mechanics as a means of determining the independent directions of motion of a mechanical system. By analogy, manufacturing degrees of freedom can be used to determine independent ways of production. Furthermore, manufacturing degrees of freedom can be classified into their production and product varieties. This paper specifically focuses on the former to measure the product-independent aspects of manufacturing system ‘reconfiguration potential’. This approach will be added to complementary work on the measurement of ‘reconfiguration ease’ so as to form an integrated reconfigurability measurement process described elsewhere [1—5].
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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 (May 13, 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 proposed method can effectively improve overall delivery satisfaction, especially when the demand of customer orders is highly fluctuating and when the customer satisfaction models are highly diversified. Practical implications The proposed framework provides a more dynamic and continuously improving way to model delivery satisfaction of individual customer, thereby supports companies to provide personalized services and develop scalable and flexible business at a lower cost, and ultimately improves the overall quality, efficiency and effectiveness of delivery services. Originality/value The proposed methodology utilizes AutoML and multi-agent system to model individual customer delivery satisfaction and improve the overall satisfaction. It can cooperate with the existing delivery resource planning methods to further improve customer delivery satisfaction. The authors propose an AutoML approach to model individual customer delivery satisfaction, which enables continuous update and improvements. The authors propose multi-agent system and a heuristic method to improve overall delivery satisfaction. The numerical results show that the proposed method can improve overall delivery satisfaction with limited processing capability.
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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 (January 22, 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 strategy. In addition, we develop a multi-agent model to reach conclusions for more complex market situations. We show that when the consumer’s platform preference is low, the independent seller is willing to locate in the high-end product market; otherwise, the independent seller is willing to locate in the low-end product market. In a competitive environment, when consumers’ ideal preferences are concentrated, the independent seller vertically positions in the low-end product market and horizontally positions close to the concentrated area of consumers’ ideal preferences. Similarly, the platform owner is more likely to encroach on the low-end product market. However, the independent seller positions in the high-end product market with greater horizontal differentiation, and the platform owner’s motivation to encroach is weakened.
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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 (January 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. If not, it will be replaced by a new product. Simulation experiments are being performed with a population of consumats having different preferences. Results show that the dominating type of cognitive (choice) process has large consequences for the resulting market dynamics. Moreover, the size of the social network affects the market dynamics too.
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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 (March 24, 2023): 704. http://dx.doi.org/10.3390/jmse11040704.
Full textAbstract:
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 introduced into the static and the dynamic formation control protocols, and the static cooperative optimal formation control protocol and the dynamic cooperative optimal formation control protocol are designed. Through MATLAB simulation, the static cooperative optimal control protocol and static formation control protocol are compared, and the dynamic cooperative optimal control protocol and dynamic formation control protocol are compared. By comparison, the state variables of the system can reach convergence quickly, and the system can complete formation in a short time, which verifies the effectiveness of the optimal theory and cooperative control.
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Baldassarre, Francesca, Angelo De Stradis, Giuseppe Altamura, Viviana Vergaro, Cinzia Citti, Giuseppe Cannazza, Agostina L. Capodilupo, Luciana Dini, and Giuseppe Ciccarella. "Application of calcium carbonate nanocarriers for controlled release of phytodrugs against Xylella fastidiosa pathogen." Pure and Applied Chemistry 92, no. 3 (March 26, 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 investigating a potential control strategy for the pathogen Xylella fastidiosa. This pathogen is the causal agent of the Olive Quick Decline Syndrome that is an unprecedented emergency in Italy and potentially in the rest of Europe. We studied nanocrystals interactions with bacteria cells and the application in planta to verify olive plants uptake. Ultrastructural analysis by electron microscopy shown an alteration of bacteria wall following nanocrystals interaction. Nanocrystals were adsorbed from roots and they translocated in plants tissues. Calcium carbonate carriers were able to encapsulate efficiently two types of antimicrobial substances and the potential efficacy was tested in experiment under greenhouse conditions.