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Kumar, Vipin, Sreeraj Ramesan, Vipin Kumar e Dr A. K. Madan. "Reconfigurable Manufacturing System: A Review". International Journal for Research in Applied Science and Engineering Technology 10, n. 3 (31 marzo 2022): 188–99. http://dx.doi.org/10.22214/ijraset.2022.40594.
Abstract (sommario):
Abstract: Manufacturing firms/companies in the twenty-first century might be compelled to manage unpredictably high-rate, high-risk market changes energized by overall market competitiveness. To remain competitive in the market, these businesses should put resources into flexible manufacturing solutions and new kinds of manufacturing systems that are both cost-effective and touchy to market changes without forfeiting product and production quality. Re-configurability is a recent fad in designing technology that spotlights cost-effective, fast responses to market changes. Reconfigurable manufacturing systems (RMS) are another manufacturing paradigm that accepts a framework that is more delicate to changing market demands, including components like reconfigurable machines and reconfigurable controllers, as well as approaches for their deliberate plan and fast increase. This paper gives a basic overview of reconfigurable manufacturing systems (RMS) and the objectives that satisfy this approach. Keywords: RMS (Reconfigurable Manufacturing System) and FMS (Flexible Manufacturing System).
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Hees, A., K. Zellner e G. Reinhart. "Produktionsplanung in RMS/Production Planning in RMS - System for Production Process Planning in Reconfigurable Manufacturing Systems (RMS)". wt Werkstattstechnik online 105, n. 04 (2015): 209–14. http://dx.doi.org/10.37544/1436-4980-2015-04-51.
Abstract (sommario):
Zur Sicherung der Wettbewerbsfähigkeit in dynamischen Märkten müssen produzierende Unternehmen ihre Produktionssysteme in häufigen Intervallen anpassen. Ein Ansatz, diesen Herausforderungen zu begegnen, sind rekonfigurierbare Produktionssysteme (englisch: Reconfigurable Manufacturing Systems – RMS). Vorgestellt wird ein neuer Ansatz für die Produktionsplanung und -steuerung (PPS) in RMS – bestehend aus einem Datenmodell, einem Konfigurationsmanagement und einer Planungsmethode. Manufacturing companies have to adapt their manufacturing systems in frequent and short intervals to secure their competitiveness in dynamic markets. One approach to ensure companies’ success are Reconfigurable Manufacturing Systems (RMS). In this context, a new approach for production planning (PPC) in RMS, consisting of a data model, a configuration management and a planning method, is described in this paper.
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H. Garbie, Ibrahim. "Performance analysis and measurement of reconfigurable manufacturing systems". Journal of Manufacturing Technology Management 25, n. 7 (26 agosto 2014): 934–57. http://dx.doi.org/10.1108/jmtm-07-2011-0070.
Abstract (sommario):
Purpose – The purpose of this paper is to propose a new performance analysis and measurement regarding reconfigurable manufacturing systems (RMS) taken into consideration new circumstances which include changes in the market demand, changes in a product design, and/or introduction of a new product. As the reconfiguration process is applied to a manufacturing system to improve the system's performance due to new circumstances, the RMS process has potential quantitative and qualitative measures. Design/methodology/approach – The manufacturing system has a great impact on the performance measurement and the selection of the objectives to measure the performance is very important. These objectives include the critical requirements for a RMS and they are as follows: product cost, manufacturing response, system productivity, people behavior, inventory, and quality of the finished products. Because each criterion measure in a RMS is a potential source of evaluation, it should have a relative weight with respect to the other measures. First, each criterion will be measured individually. Second, these measures need to be evaluated through an aggregate quantitative metric because there is a lack of analytical techniques to analyze and evaluate both qualitative and quantitative measures. Findings – Performance evaluation of a RMS from one circumstance to another is highly desired by using the new quantitative metric regarding updating (upgrading) the system for the next period based on the previous one. The results show that the applicable of using this new technique in evaluating the RMS. The results also support the new quantitative metric. Originality/value – The suggestion of a new aggregate performance measurement metric including the all potential objectives is highly considered. This paper provides an insight into each objective individually to measure it. It is also used from 0 to 1 as range of measure to evaluate the potential and aggregate metrics toward next reconfiguration with respect to the existing one.
4
Smedberg, Henrik, Carlos Alberto Barrera-Diaz, Amir Nourmohammadi, Sunith Bandaru e Amos H. C. Ng. "Knowledge-Driven Multi-Objective Optimization for Reconfigurable Manufacturing Systems". Mathematical and Computational Applications 27, n. 6 (9 dicembre 2022): 106. http://dx.doi.org/10.3390/mca27060106.
Abstract (sommario):
Current market requirements force manufacturing companies to face production changes more often than ever before. Reconfigurable manufacturing systems (RMS) are considered a key enabler in today’s manufacturing industry to cope with such dynamic and volatile markets. The literature confirms that the use of simulation-based multi-objective optimization offers a promising approach that leads to improvements in RMS. However, due to the dynamic behavior of real-world RMS, applying conventional optimization approaches can be very time-consuming, specifically when there is no general knowledge about the quality of solutions. Meanwhile, Pareto-optimal solutions may share some common design principles that can be discovered with data mining and machine learning methods and exploited by the optimization. In this study, the authors investigate a novel knowledge-driven optimization (KDO) approach to speed up the convergence in RMS applications. This approach generates generalized knowledge from previous scenarios, which is then applied to improve the efficiency of the optimization of new scenarios. This study applied the proposed approach to a multi-part flow line RMS that considers scalable capacities while addressing the tasks assignment to workstations and the buffer allocation problems. The results demonstrate how a KDO approach leads to convergence rate improvements in a real-world RMS case.
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Liu, Chin Wei, You Lun Chen e Wen Chien Wu. "Integrated Development of a Modularized ECM Manufacturing System Based on the Reconfigurable Manufacturing System Concept". Key Engineering Materials 516 (giugno 2012): 102–7. http://dx.doi.org/10.4028/www.scientific.net/kem.516.102.
Abstract (sommario):
An electrochemical machining (ECM) manufacturing system with a reconfigurable manufacturing system (RMS) is proposed for machining materials with high hardness and with unique contours or specific edge geometries that are normally unobtainable by conventional machining methods. In the manufacturing industry, ECM systems must usually be custom designed to meet customer needs. An RMS reduces engineering time and production costs by enabling rapid and cost-effective conversion of manufacturing machines, systems, and controls in response to the market changes or customer demands. This study proposes a design method for constructing a hierarchical structure control module for synchronously reconfiguring controls and machining characteristics in a reconfigurable machine tool.
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Guo, Bo, Fu-Shin Lee, Chen-I. Lin e Yun-Qing Lu. "A cloud integrated strategy for reconfigurable manufacturing systems". Concurrent Engineering 28, n. 4 (2 ottobre 2020): 305–18. http://dx.doi.org/10.1177/1063293x20958937.
Abstract (sommario):
Manufacturing industries nowadays need to reconfigure their production lines promptly as to acclimate to rapid changing markets. Meanwhile, exercising system reconfigurations also needs to manage innumerous types of manufacturing apparatus involved. Nevertheless, traditional incompatible manufacturing systems delivered by exclusive vendors usually increase manufacture costs and prolong development time. This paper presents a novel RMS framework, which is intended to implement a Redis master/slave server mechanism to integrate various CNC manufacturing apparatus, hardware control means, and data exchange protocols through developed configurating codes. In the RMS framework each manufacturing apparatus or accessory stands for an object, and information of recognized CNC control panel image features, associated apparatus tuned parameters, communication formats, operation procedures, and control APIs, are stored into the Redis master cloud server database. Through implementation of machine vision techniques to acquire CNC controller panel images, the system effectively identifies instantaneous CNC machining states and response messages once the embedded image features are recognized. Upon demanding system reconfigurations for the manufacturing resources, the system issues commands from Redis local client servers to retrieve the stored information in the Redis master cloud servers, in which the resources for registered CNC machines, robots, and built-in accessories are maintained securely. The system then exploits the collected information locally to reconfigure involved manufacturing resources and starts manufacturing immediately, and thus is capable to promptly response to fast revised orders in a comitative market. In a prototyped RMS architecture, the proposed approach takes advantage of recognized feedback visual information, which is obtained using an invariant image feature extraction algorithm, and effectively commands an industrial robot to accomplish demanded actions on a CNC control panel, as a regular operator does daily in front of the CNC machine for manufacturing.
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Han, Sumin, Tai-Woo Chang, Yoo Suk Hong e Jinwoo Park. "Reconfiguration Decision-Making of IoT based Reconfigurable Manufacturing Systems". Applied Sciences 10, n. 14 (13 luglio 2020): 4807. http://dx.doi.org/10.3390/app10144807.
Abstract (sommario):
With the recent diversification of demands, manufacturing systems that can respond to multiple types of goods have become more important. In this circumstance, reconfigurable manufacturing systems (RMSs) that can provide flexible manufacturing with limited machine tools through reconfiguration have gained a lot of attention. As an RMS supports flexibility through layout reconfiguration, reconfiguration decision-making is very important and difficult. The development of IoT technology has made it possible to collect hidden information inside systems. This study focused on the reconfiguration decision-making system with the data acquisition system based on IoT technology. The decision-making system detected a reconfiguration situation and built a reconfiguration plan using the data collected by IoT sensors. The performance of the algorithm proposed in this study was verified in a simulation experiment. It was found that the algorithm had a stable performance under various reconfigurable situations. It is expected that the proposed system will help to improve the performance of RMS.
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Renna, Paolo. "Performance Evaluation of Reconfiguration Policy in Reconfigurable Manufacturing Systems including Multi-Spindle Machines: An Assessment by Simulation". Applied Sciences 14, n. 7 (26 marzo 2024): 2778. http://dx.doi.org/10.3390/app14072778.
Abstract (sommario):
Reconfigurable manufacturing systems (RMSs) are extensively studied and employed to address demand uncertainties. RMS machines are designed to be modular and adaptable to changing requirements. A recent innovation is the introduction of multi-spindle reconfigurable machines (MRMTs). This study evaluates the impact of MRMTs’ introduction into an RMS, considering factors such as the number of MRMT machines and reconfiguration policies. A simulation model incorporating failures, process time variability, and part inter-arrival supports the analysis. The numerical results aid decision makers in determining the optimal RMS configuration with MRMTs. The simulation outcomes indicate that a balanced number of multi-spindle machines can significantly enhance performance compared with an unbalanced distribution.
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Yu, Dong Man, Zhi Hua Gao, Xiao Jing Li e Di Wang. "Key Technology and Architecture of Reconfigurable Manufacturing System". Applied Mechanics and Materials 556-562 (maggio 2014): 6034–37. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.6034.
Abstract (sommario):
Reconfigurable manufacturing system is essential for sustainable change, rapid response ability important characteristics, research, development and application of manufacturing system. The main architecture and major characteristics of reconfigurable manufacturing systems is explored. Normally, the quality of RMS can be evaluated by several factors. Firstly, the gross cost of production and reconstruction should be less. Secondly, The time of design and manufacture (ascent time) should be shorter. Thirdly, the utilization ratio of existed resource should reach to the utmost. Finally, the cargo stream planning in common space should keep in optimal condition. At last, The author give an example to shown the RMS, the hydraulic integrated package for a gearshift device in automobile, are mentioned to compare and analyze.
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Spicer, Patrick, e Hector J. Carlo. "Integrating Reconfiguration Cost Into the Design of Multi-Period Scalable Reconfigurable Manufacturing Systems". Journal of Manufacturing Science and Engineering 129, n. 1 (15 agosto 2006): 202–10. http://dx.doi.org/10.1115/1.2383196.
Abstract (sommario):
A reconfigurable manufacturing system (RMS) that is designed specifically to adapt to changes in production capacity, through system reconfiguration, is called a scalable-RMS. The set of system configurations that a scalable-RMS assumes as it changes over time is called its configuration path. This paper investigates how to determine the optimal configuration path of a scalable-RMS that minimizes investment and reconfiguration costs over a finite horizon with known demand. First, a practical cost model is presented to compute the reconfiguration cost between two scalable-RMS configurations. This model comprehends labor costs, lost capacity costs, and investment/salvage costs due to system reconfiguration and ramp up. Second, the paper presents an optimal solution model for the multiperiod scalable-RMS using dynamic programming (DP). Third, a combined integer programming/dynamic programming (IP-DP) heuristic is presented that allows the user to control the number of system configurations considered by the DP in order to reduce the solution time while still providing a reasonable solution. Numerical problems involving a two-stage and a three-stage scalable-RMS are solved using the DP and IP-DP methodologies. Experimental results suggest that the DP approach, although it is optimal, is not computationally efficient for large problem sizes. However, the combined IP-DP approach offers reasonable results with much less computational effort.
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Gielisch, Christoph, Karl-Peter Fritz, Benedikt Wigger e André Zimmermann. "Conceptual Planning of Micro-Assembly for a Better Utilization of Reconfigurable Manufacturing Systems". Applied Sciences 10, n. 8 (18 aprile 2020): 2806. http://dx.doi.org/10.3390/app10082806.
Abstract (sommario):
Reconfigurable manufacturing systems (RMS) can be used to produce micro-assembled products that are too complex for assembly on flat substrates like printed circuit boards. The greatest advantage of RMS is their capability to reuse machine parts for different products, which enhances the economical efficiency of quickly changing or highly individualized products. However, often, process engineers struggle to achieve the full potential of RMS due to product designs not being suited for their given system. Guaranteeing a better fit cannot be done by static guidelines because the higher degree of freedom would make them too complex. Therefore, a new method for generating dynamic guidelines is proposed. The method consists of a model, with which designers can create a simplified assembly sequence of their product idea, and another model, with which process engineers can describe the RMS and the procedures and operations that it can offer. By combining both, a list of possible machine configurations for an RMS can be generated as an automated response for a modeled assembly sequence. With the planning tool for micro-assembly, an implementation of this method as a modern web application is shown, which uses a real existent RMS for micro-assembly.
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Coppini, Alan, e Michael A. Saliba. "Towards Practical Guidelines for Conversion from Fixed to Reconfigurable Manufacturing Automation Systems". Journal of Industrial Integration and Management 03, n. 01 (marzo 2018): 1850002. http://dx.doi.org/10.1142/s2424862218500021.
Abstract (sommario):
It is generally considered that economic feasibility of a reconfigurable manufacturing system (RMS) is only attainable if the system is defined to be reconfigurable at the outset of its design. In this work, we consider the potential exception to this perception, in the context of a common industrial scenario where a specialized and expensive manufacturing machine or system will otherwise be rendered useless due to the loss of business of the particular product being manufactured. Specific guidelines to convert from a fixed to a reconfigurable system are proposed, and evaluated through a case study. It is shown that under certain conditions, RMSs may be economically feasible even if they are developed through the modification of pre-existing dedicated systems.
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Ali, M. A., A. Alarjani e M. A. Mumtaz. "A NSGA-II based approach for multi-objective optimization of a reconfigurable manufacturing transfer line supported by Digital Twin: A case study". Advances in Production Engineering & Management 18, n. 1 (30 marzo 2023): 116–29. http://dx.doi.org/10.14743/apem2023.1.461.
Abstract (sommario):
In response to the wide range of customer demands, the concept of reconfigurable manufacturing systems (RMS) was introduced in the industrial sector. RMS enables producers to meet varying volumes of demand over varying time periods by swiftly adjusting its production capacity and functionality within a part family in response to abrupt market changes. In these circumstances, RMS are made to swiftly reconfigure their Reconfigurable Machine Tools (RMTs). RMTs are designed to have a variety of configurations that may be conditionally chosen and reconfigured in accordance with specific performance goals. However, the reconfiguration process is not an easy process, which entails optimization of several objectives and many of which are inherently conflictual. As a result, it necessitates real-time monitoring of the RMS's condition, which may be achieved by digital twinning, or the real-time capture of system data. The concept of using a digital replica of a physical system to provide real-time optimization is known as digital twin. This work considered a case study of discrete parts manufacturing on a reconfigurable single manufacturing transfer line (SMTL). Six manufacturing operations are required to be performed on the parts at six production stages. This work uses the Digital Twin (DT) based approach to assist a discrete multi-objective optimization problem for a reconfigurable manufacturing transfer line. This multi-objective optimization problem consists of four objective functions which is illustrated by using DT-based Non-dominated Sorting Genetic Algorithm-II (NSGA-II). The innovative aspect of the current study is the use of a DT-based framework for RMS reconfiguration to produce the best optimum solutions. The produced real-time solutions will be of great assistance to the decision maker in selecting the appropriate real-time optimal solutions for reconfigurable manufacturing transfer lines.
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Tang, Li, Yoram Koren, Derek M. Yip-Hoi e Wencai Wang. "Computer-Aided Reconfiguration Planning: An Artificial Intelligence-Based Approach". Journal of Computing and Information Science in Engineering 6, n. 3 (20 febbraio 2006): 230–40. http://dx.doi.org/10.1115/1.2218369.
Abstract (sommario):
The manufacturing industry today faces a highly volatile market in which manufacturing systems must be capable of responding rapidly to market changes while fully exploiting existing resources. Reconfigurable manufacturing systems (RMS) are designed for this purpose and are gradually being deployed by many mid-to-large volume manufacturers. The advent of RMS has given rise to a challenging problem, namely, how to economically and efficiently reconfigure a manufacturing system and the reconfigurable hardware within it so that the system can meet new requirements. This paper presents a solution to this problem that models the reconfigurability of a RMS as a network of potential activities and configurations to which a shortest path graph-searching strategy is applied. Two approaches using the A* algorithm and a genetic algorithm are employed to perform this search for the reconfiguration plan and reconfigured system that best satisfies the new performance goals. This search engine is implemented within an AI-based computer-aided reconfiguration planning (CARP) framework, which is designed to assist manufacturing engineers in making reconfiguration planning decisions. Two planning problems serve as examples to prove the effectiveness of the CARP framework.
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Srikanth, Dodla, e M. S. Kulkarni. "Quality, Reliability and Maintenance (Q, R & M) Issues in Reconfigurable Manufacturing Systems (RMS)". Applied Mechanics and Materials 110-116 (ottobre 2011): 1442–46. http://dx.doi.org/10.4028/www.scientific.net/amm.110-116.1442.
Abstract (sommario):
Reconfigurable Manufacturing Systems (RMS) have the potential to emerge as a cost effective solution that will help manufacturing organizations to stay competitive in an environment where product mix changes frequently and product life cycles are getting shorter. Reconfigurable Manufacturing Systems can achieve this as they are designed for quick changes in its configuration, as well as software and hardware components. This not only helps in accommodating production capacity but also production of new variety of products and introduction of new product within part family. However, the configurations have a significant impact on the productivity and reliability of the machines and the manufacturing system. In the present paper, the main objective is to present a framework consisting of Maintenance plan to be followed for the reconfigured machine, Reliability of the reconfigured machine, Quality of the product obtained. This framework can form as the basic idea and a link between maintenance, reliability and quality issues.
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Kurniadi, Kezia Amanda, e Kwangyeol Ryu. "Development of Multi-Disciplinary Green-BOM to Maintain Sustainability in Reconfigurable Manufacturing Systems". Sustainability 13, n. 17 (24 agosto 2021): 9533. http://dx.doi.org/10.3390/su13179533.
Abstract (sommario):
The reconfigurable manufacturing system (RMS) appears to be eco-friendly while coping with rapidly changing market demands. However, there remains a lack of discussion or research regarding sustainability or environment-friendly functions within RMS. In this study, the reconfiguration planning problem is introduced to represent the core issues within the RMS. Reconfiguration occurs depending on new demands or conditions in the company by reconfiguring machines, such as removing, adding, or changing parts, giving considerable consideration to arrangement of machines, known as configurations in RMS. Therefore, reconfiguration process is always strongly connected to cost, energy consumption, and, more importantly, data management. The complexity of reconfiguration, product variation, and development processes requires tools that are capable of managing multi-disciplinary bill-of-material(BOM) or product data and providing a better collaboration support for data/information tracking while maintaining sustainability. This paper proposes a multi-disciplinary green bill-of-material (MDG-BOM)—an improved Green-BOM concept—with an additional multi-disciplinary feature to minimize emissions and hazardous materials during product development, as well as manage product information across multiple disciplines during the reconfiguration process. A smart spreadsheet for managing MDG-BOM was developed to allow multiple departments to integrate multiple sources of CAD design data and monitor/track changes throughout each step of the process.
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Jiang, Xiao Peng, Run Xiao Wang, Tao Li, Zhi Qing Luo e Dong Bo Wang. "Reconfiguration Methods for Exception Handling in Reconfigurable Manufacturing Systems". Materials Science Forum 532-533 (dicembre 2006): 628–31. http://dx.doi.org/10.4028/www.scientific.net/msf.532-533.628.
Abstract (sommario):
Reconfigurable manufacturing systems (RMS) offer capabilities for quick adjustment of production capacity and functionality in response to sudden changes in market conditions. Both at the system and at the cell level exception events occur dynamically and unpredictably during the production process. These exceptions interrupt the production process by causing errors in the schedule plan. Error/ exception handling is the policy how to deal with errors caused by the occurrence of out-of-ordinary events. Author explores the new strategies to handling error events and proposes an intelligent control structure for real-time error handling, and illustrates the reconfiguration ability is the new crucial technological factor enabling new strategies to handle out-of-ordinary events of the production process.
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Barrera-Diaz, Carlos Alberto, Amir Nourmohammadi, Henrik Smedberg, Tehseen Aslam e Amos H. C. Ng. "An Enhanced Simulation-Based Multi-Objective Optimization Approach with Knowledge Discovery for Reconfigurable Manufacturing Systems". Mathematics 11, n. 6 (21 marzo 2023): 1527. http://dx.doi.org/10.3390/math11061527.
Abstract (sommario):
In today’s uncertain and competitive market, where manufacturing enterprises are subjected to increasingly shortened product lifecycles and frequent volume changes, reconfigurable manufacturing system (RMS) applications play significant roles in the success of the manufacturing industry. Despite the advantages offered by RMSs, achieving high efficiency constitutes a challenging task for stakeholders and decision makers when they face the trade-off decisions inherent in these complex systems. This study addresses work task and resource allocations to workstations together with buffer capacity allocation in an RMS. The aim is to simultaneously maximize throughput and to minimize total buffer capacity under fluctuating production volumes and capacity changes while considering the stochastic behavior of the system. An enhanced simulation-based multi-objective optimization (SMO) approach with customized simulation and optimization components is proposed to address the abovementioned challenges. Apart from presenting the optimal solutions subject to volume and capacity changes, the proposed approach supports decision makers with knowledge discovery to further understand RMS design. In particular, this study presents a customized SMO approach combined with a novel flexible pattern mining method for optimizing an RMS and conducts post-optimal analyses. To this extent, this study demonstrates the benefits of applying SMO and knowledge discovery methods for fast decision support and production planning of an RMS.
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Zhang, Xiao Yan, Zhi Hua Gao, Xiao Jing Li e Di Wang. "The Characteristics and Application of Reconfigurable System". Applied Mechanics and Materials 58-60 (giugno 2011): 859–63. http://dx.doi.org/10.4028/www.scientific.net/amm.58-60.859.
Abstract (sommario):
The reconfigurable manufacture system (RMS) combined with the merits of both two systems, professional manufacture system and flexible manufacture system, could respond to the market change or uncertain requirement, adjust the production ability or function for changing the hardware or software. This paper presents the main architecture and major characteristics of reconfigurable manufacturing systems. Normally, the quality of RMS can be evaluated by several factors. Firstly, the gross cost of production and reconstruction should be less. Secondly, The time of design and manufacture (ascent time) should be shorter. Thirdly, the utilization ratio of existed resource should reach to the utmost. Finally, the cargo stream planning in common space should keep in optimal condition. At last, two examples, the hydraulic integrated package for a gearshift device in automobile, are mentioned to compare and analyse.
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Pansare, Rajesh, Gunjan Yadav e Madhukar R. Nagare. "Reconfigurable manufacturing system: a systematic bibliometric analysis and future research agenda". Journal of Manufacturing Technology Management 33, n. 3 (1 dicembre 2021): 543–74. http://dx.doi.org/10.1108/jmtm-04-2021-0137.
Abstract (sommario):
PurposeThe purpose of this paper is to conduct a systematic bibliometric analysis of reconfigurable manufacturing system (RMS) articles using VOSviewer to identify their research themes and future research trends and investigate their interconnectivity. This paper also aims to identify prominent authors, publishers, organizations, countries and their collaborations in the RMS domain.Design/methodology/approachIn this study, the Scopus database is used to retrieve 454 RMS articles published between 1988 and 2020. These articles are then investigated using VOSviewer to determine their interconnectedness, clusters and citations, as well as to generate a map based on text data. The network visualization diagrams and clusters obtained for documents, authors, sources, organizations and countries are explored to determine the current state and future trends in RMS research.FindingsA bibliometric analysis of selected articles is performed, and current research hotspots in this domain are identified. This work also investigates the current status and future research trends in this domain. The work presented also identifies top researchers, journals, countries and documents in RMS.Practical implicationsThis paper can provide academics, researchers and practitioners with additional research insights. At the same time, the research trends identified here can help to direct research and benefit researchers.Originality/valueThe study is the first attempt to review selected documents in the RMS domain using bibliometric analysis tools, and it presents a method for collecting articles, organizing them and analyzing the data.
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Park, Jong Man. "Improved Methodology To Assess Adaptability of Reconfigurable Manufacturing Systems (RMS) for Smaller Enterprises". Journal of the Korean Society for Precision Engineering 35, n. 2 (1 febbraio 2018): 179–87. http://dx.doi.org/10.7736/kspe.2018.35.2.179.
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Gola, Arkadiusz, Zbigniew Pastuszak, Marcin Relich, Łukasz Sobaszek e Eryk Szwarc. "Scalability analysis of selected structures of a reconfigurable manufacturing system taking into account a reduction in machine tools reliability". Eksploatacja i Niezawodnosc - Maintenance and Reliability 23, n. 2 (8 febbraio 2021): 242–52. http://dx.doi.org/10.17531/ein.2021.2.4.
Abstract (sommario):
Scalability is a key feature of reconfigurable manufacturing systems (RMS). It enables fast and cost-effective adaptation of their structure to sudden changes in product demand. In principle, it allows to adjust a system's production capacity to match the existing orders. However, scalability can also act as a "safety buffer" to ensure a required minimum level of productivity, even when there is a decline in the reliability of the machines that are part of the machine tool subsystem of a manufacturing system. In this article, we analysed selected functional structures of an RMS under design to see whether they could be expanded should the reliability of machine tools decrease making it impossible to achieve a defined level of productivity. We also investigated the impact of the expansion of the system on its reliability. To identify bottlenecks in the manufacturing process, we ran computer simulations in which the course of the manufacturing process was modelled and simulated for 2-, 3-, 4- and 5-stage RMS structures using Tecnomatix Plant Simulation software.
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Koekemoer, Martin, e Igor Gorlach. "Development of a reconfigurable pallet system for a robotic cell". MATEC Web of Conferences 210 (2018): 02003. http://dx.doi.org/10.1051/matecconf/201821002003.
Abstract (sommario):
Advanced manufacturing systems allow rapid changes of production processes by means of reconfigurability providing mass customisation of products with high productivity, quality and low costs. Reconfigurable Manufacturing Systems (RMS) employ conventional as well as special purpose CNC machines, robots and material handling systems. In customised automated assembly, a number of different workpieces need to be processed simultaneously at various workstations according to their process plans. Therefore, a material handling system is an important part of RMS, whose main task is to provide reliable, accurate and efficient transfer of materials according to the process scheduling, without bottlenecks and stoppages. In this research, a reconfigurable pallet system was developed to facilitate automated robotic assembly for a highly customised production environment. The aim is to design a material handling system for conveying, sorting and processing of parts, which are supplied by robots and part feeders in different configurations. The developed pallet system provides a low-cost solution and it includes four flexible conveyors and part handling devices. All the elements of the system were successfully integrated with an intelligent controller. A user-friendly human machine interface provides easy reconfigurability of the pallet system and interfacing with robots, processing stations and part feeding sub-systems. The main advantages of the developed material handling system are the ease of operation, its reconfigurability and low-cost. The system demonstrates the advantages of reconfigurable material handling systems and it can be employed for training purposes.
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Pansare, Rajesh, Gunjan Yadav, Jose Arturo Garza-Reyes e Madhukar Raosaheb Nagare. "Assessment of Sustainable Development Goals through Industry 4.0 and reconfigurable manufacturing system practices". Journal of Manufacturing Technology Management 34, n. 3 (25 aprile 2023): 383–413. http://dx.doi.org/10.1108/jmtm-05-2022-0206.
Abstract (sommario):
PurposeThe United Nation's Sustainable Development Goals (SDGs), introduced in 2015, connect several manufacturing strategies and promote sustainable practices in an organization. Manufacturing companies are struggling to meet changing market demands while also addressing social and biological issues. The current study aims to develop a framework that can assist practitioners and managers contribute to the attainment of the SDGs through the adoption of reconfigurable manufacturing system (RMS) practices and Industry 4.0 technologies.Design/methodology/approachAn extensive literature review was carried out to identify RMS-Industry 4.0 practices and their interconnection, as well as their contribution to achieving the SDGs. The stepwise weight assessment ratio analysis (SWARA) method was then used to compute the weights of the selected RMS-Industry 4.0 practices, whereas the weighted aggregated sum product assessment (WASPAS) method was used to prioritize performance metrics. The developed framework's robustness was tested using a sensitivity analysis across five different organizations.FindingsThe findings show that advanced technologies practices have the most importance, followed by customization and rapid adjustment of capacity and functionality practices. The sensitivity analysis revealed the robustness of the developed framework as well as its adaptability among the chosen organizations.Practical implicationsThis research will assist in the adoption of RMS and includes recent technologies that can help in the attainment of industrial SDGs. Managers will also be able to evaluate RMS in the context of industrial SDGs. Researchers and practitioners can now address the various RMS-Industry 4.0 practices while keeping the social and environmental aspects in mind.Originality/valueNo previous research has investigated the SDGs through the nexus effect of Industry 4.0 and RMS practices.
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Gielisch, Christoph, Karl-Peter Fritz, Anika Noack e André Zimmermann. "A Product Development Approach in The Field of Micro-Assembly with Emphasis on Conceptual Design". Applied Sciences 9, n. 9 (10 maggio 2019): 1920. http://dx.doi.org/10.3390/app9091920.
Abstract (sommario):
Faster product lifecycles make long-term investments in machines for micro assembly riskier. Therefore, reconfigurable manufacturing systems gain more and more attention. But most companies are uncertain if a reconfigurable manufacturing system can fulfill their needs and justify the initial investment. New and improved techniques for product development have the potential to foster the utilization and decrease the investment risk for such systems. In this paper, four different methods for product development are reviewed. A set of criteria regarding micro assembly on reconfigurable manufacturing systems RMS is established. Based on those criteria and the assessment, a novel approach for a product development method is provided, which tries to combine the strengths of the beforehand presented approaches. It focuses on the conceptual design phase to overcome the customers’ uncertainty in the development process. For this, an abstract representation of a micro-assembly product idea as well as a decision tree for joining processes are established and validated by real product ideas using expert interviews. The validation shows that the conceptual design phase can be used as a useful tool in the product development process in the field of micro assembly.
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Hsieh, Fu-Shiung. "A Comparative Study of Two Evolutionary Computation Approaches for Formation of Production Processes in Reconfigurable Manufacturing Systems". International Journal of Manufacturing, Materials, and Mechanical Engineering 10, n. 3 (luglio 2020): 1–23. http://dx.doi.org/10.4018/ijmmme.2020070101.
Abstract (sommario):
Due to the capabilities to effectively deal with changing demands and business environments, reconfigurable manufacturing systems (RMS) emerge as a paradigm for manufacturers to respond to challenges in the real world. This is to effectively form a production process based on resources available in RMS to meet the demand, which is an important issue. In this article, we address the process formation problem and model it based on a multi-agent system architecture. To specify the capabilities of machines and robots in RMS, we adopt Petri nets as the modelling tool and formulate the process formation problem as an integer programming problem. Due to the computational complexity in solving the integer programming problem, particle swarm optimization (PSO) and differential evolution (DE) approaches have been applied to solve the problem. Effectiveness of applying these two evolutionary computation algorithms to solve the process formation problem is compared based on experimental results.
27
H. Garbie, Ibrahim. "A methodology for the reconfiguration process in manufacturing systems". Journal of Manufacturing Technology Management 25, n. 6 (1 luglio 2014): 891–915. http://dx.doi.org/10.1108/jmtm-06-2011-0064.
Abstract (sommario):
Purpose – The purpose of this paper is to propose a “Reconfiguration Methodology” in manufacturing systems that they can become more economically sustainable and can operate efficiency and effectively. This methodology will allow customized flexibility and capacity not only in producing a variety of products (parts) and with changing market demands, but also in changing and reengineering the system itself. Design/methodology/approach – Reconfigurable manufacturing system (RMS) is a philosophy or strategy which was introduced during the last decade to achieve agility in manufacturing systems. Until now, the RMS philosophy was based changing activities such routing, planning, programming of machines, controlling, scheduling, and physical layout or materials handling system. But the RMS concept can be based on the needed reconfiguration level (NRL), operational status of production systems, and new circumstances (NC). The NRL measure is based on the agility level of the manufacturing systems which is based on technology, people, management, and manufacturing strategies. The components of the manufacturing system design (MSD) consist of production system design, plant layout system, and material handling system. Operational status of production systems includes machine capability (flexibility) and capacity (reliability), production volume or demand, and material handling equipment in addition to the plant layout. The NC are also consisting of new product, developing the existing ones, and changing in demand. Findings – Reconfiguration manufacturing systems from one period to another period is highly desired and is considered as a novel manufacturing philosophy and/or strategy toward creating new sustainable manufacturing systems. A new reconfiguration methodology for the manufacturing systems will be analyzed and proposed. Two Case studies will be introduced. Originality/value – The suggestion of a new methodology of reconfiguration including the NRL (configurability index) and the operational status of manufacturing systems with respect to any circumstance is highly considered. The reconfiguration methodology also provides a framework for sustainability in the manufacturing area which mainly focussed on manufacturing systems design.
28
Gao, Sini, Joanna Daaboul e Julien Le Duigou. "Process Planning, Scheduling, and Layout Optimization for Multi-Unit Mass-Customized Products in Sustainable Reconfigurable Manufacturing System". Sustainability 13, n. 23 (1 dicembre 2021): 13323. http://dx.doi.org/10.3390/su132313323.
Abstract (sommario):
Currently, manufacturers seek to provide customized and sustainable products, requiring flexible manufacturing systems and advanced production management to cope with customization complexity and improve environmental performance. The reconfigurable manufacturing system (RMS) is expected to provide cost-effective customization in high responsiveness. However, reconfiguration optimization to produce sustainable mass-customized products in RMS is a complex problem requiring multi-criteria decision making. It is related to three problems, process planning, scheduling, and layout optimization, which should be integrated to optimize the RMS performance. This paper aims at integrating the above three problems and developing an effective approach to solving them concurrently. It formulates a multi-objective mathematical model simultaneously optimizing process planning, job-shop scheduling, and open-field layout problem to improve RMS sustainability. The penalty for product tardiness, the total manufacturing cost, the hazardous waste, and the greenhouse gases emissions are minimized. Economic and environmental indicators are defined to modify the Pareto efficiency when searching the Pareto-optimal solutions. Exact Pareto-optimal solutions are obtained by brute-force search and compared with those of the non-environmental indicator model. NSGA-III is adopted to obtain the approximate Pareto-optimal solutions in high effectiveness and efficiency. A small numerical example is applied to validate the mathematical model and resolution methods.
29
Stambolov, Grigor, e Petya Petkova. "Conception of Scheduling and Planning in Reconfigurable Work Stations on the Base of IEC 61499 Function Blocks". Applied Mechanics and Materials 621 (agosto 2014): 167–80. http://dx.doi.org/10.4028/www.scientific.net/amm.621.167.
Abstract (sommario):
One of the latest solutions in automated production systems is developing of Reconfigurable Manufacturing Systems (RMSs), which have an open structure that allows the integration of new technologies and modifying manufacturing for a new type of production based on adding, removing or updating the elements and units in the hardware and software level. To realize the automated processing RMS needs to have decentralized architecture, including hardware (module based) and software reconfiguration, which to enable distributed control, monitoring and diagnostics in real time and dynamic planning processes and resources in the system. One of the ways to realize this architecture is to development RMS control system on the base of IEC 61499 function blocks (FBs). Important part of the control system is a module for distributed planning and scheduling of processes, which consists all available information for technology of the products. This paper presents an approach for development of scheduling and planning modules in reconfiguration cutting work station on the base of IEC 61499 function blocks.
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Salah, Bashir, Mustufa Abidi, Syed Mian, Mohammed Krid, Hisham Alkhalefah e Ali Abdo. "Virtual Reality-Based Engineering Education to Enhance Manufacturing Sustainability in Industry 4.0". Sustainability 11, n. 5 (11 marzo 2019): 1477. http://dx.doi.org/10.3390/su11051477.
Abstract (sommario):
Many advanced product manufacturing approaches have been introduced in the market in recent years. Thus, it is critical to develop modern techniques which can effectively familiarize budding minds with the latest manufacturing procedures. In fact, the contemporary training methods and advanced education practices are crucial to uphold the interest of the new generation as well as to equip them with state-of the art systems. There is a need for innovative ideas and effective methodologies to inculcate the desired competency and prepare students for prospective manufacturing set ups. In the latest Industry 4.0 paradigm, visualization technologies, especially virtual reality, have been emphasized to sustainably train and educate young students. This work presents a technique for utilizing the leading visualization method based on virtual reality in product manufacturing. It aims to acquaint students with the prominent concept of Industry 4.0, the reconfigurable manufacturing system (RMS). The RMS has been a demanding topic for the novice and, most often, amateurs are not able to grasp and interpret it. Therefore, this paper outlines the various steps that can be useful for students in order to anticipate the RMS design, interact with it, understand its operation, and evaluate its performance.
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Singh, Ashutosh, Mohammad Asjad, Piyush Gupta e Jahangir Quamar. "An Approach to Develop Shaper Cum Slotter Mechanism: A Reconfigurable Machine Tool". South Asian Journal of Business and Management Cases 8, n. 2 (8 aprile 2019): 195–206. http://dx.doi.org/10.1177/2277977919833765.
Abstract (sommario):
The traditional structure of machines (such as lathe, milling, shaper, slotter, drilling and planer) has become questionable because of the modular concepts (such as modularity, scalability, convertibility, mobility and flexibility) and reconfiguration becomes a promising approach towards modular manufacturing machines, in which manufacturing techniques are independent of changes. In this area, reconfigurable machine tool (RMT) forms a new class of modular machines in current manufacturing scenario where the manufacturing industry put a strong pressure on good quality and price reduction. The capabilities of the machines tool and manufacturing systems in reconfigurable manufacturing system (RMS) change with each reconfiguration (both software and hardware modules). In this case, an approach is presented for reconfiguration of horizontal shaper machine for developing the modular shaper cum slotter machine in a manufacturing system by adding some auxiliary (like Scott Russel mechanism) and some basic modules and the reconfiguration features of traditional shaper and slotter machine are also discussed. The proposed approach is illustrated with a figure, which has been designed on 3-D design tool (solid-works software platform). It is expected that, this work will help designers and practising engineers by making them aware of the reconfiguration mechanisms on traditional shaper machine, which have become a necessity for the very survival of manufacturing by lowering the operational costs.
32
Moghaddam, Shokraneh K., Mahmoud Houshmand e Omid Fatahi Valilai. "Configuration design in scalable reconfigurable manufacturing systems (RMS); a case of single-product flow line (SPFL)". International Journal of Production Research 56, n. 11 (13 dicembre 2017): 3932–54. http://dx.doi.org/10.1080/00207543.2017.1412531.
33
Makinde, O. A., K. Mpofu e A. P. I. Popoola. "Review of the Status of Reconfigurable Manufacturing Systems (RMS) Application in South Africa Mining Machinery Industries". Procedia CIRP 17 (2014): 136–41. http://dx.doi.org/10.1016/j.procir.2014.02.035.
34
Ghanei, S., e T. AlGeddawy. "An Integrated Multi-Period Layout Planning and Scheduling Model for Sustainable Reconfigurable Manufacturing Systems". Journal of Advanced Manufacturing Systems 19, n. 01 (marzo 2020): 31–64. http://dx.doi.org/10.1142/s0219686720500031.
Abstract (sommario):
In a dynamic production environment, not only the customer’s needs change with time, but the economic aspects of that environment, such as energy pricing, also change. Reconfigurable Manufacturing Systems (RMSs) are designed to respond to such changes by reconfiguring system components efficiently. This paper presents a novel mathematical model to maximize energy sustainability of RMS. The novelty aspect of the model is the consideration of energy sustainability concurrently with system configuration and scheduling decisions in each period of the planning horizon. The objective of this mixed integer linear model is to minimize the total cost of energy consumption, system reconfiguration, and part transportation between machines, depending on fluctuations of energy pricing and demand during different periods. Several case studies are solved by GAMS Software to illustrate the performance of the presented model and analyze its sensitivity to the volatility of energy pricing and demand to show their effect on system changeability. An efficient genetic algorithm (GA) has been developed to solve the model in larger scale due to its NP-hardness and compared to GAMS for validation. Results show that the presented GA finds near-optimal solutions in 70% shorter time than GAMS on average.
35
Zhang, Jiafeng, Mohamed Khalgui, Wassim Mohamed Boussahel, Georg Frey, ChiTin Hon, Naiqi Wu e Zhiwu Li. "Modeling and Verification of Reconfigurable and Energy-Efficient Manufacturing Systems". Discrete Dynamics in Nature and Society 2015 (2015): 1–14. http://dx.doi.org/10.1155/2015/813476.
Abstract (sommario):
This paper deals with the formal modeling and verification of reconfigurable and energy-efficient manufacturing systems (REMSs) that are considered as reconfigurable discrete event control systems. A REMS not only allows global reconfigurations for switching the system from one configuration to another, but also allows local reconfigurations on components for saving energy when the system is in a particular configuration. In addition, the unreconfigured components of such a system should continue running during any reconfiguration. As a result, during a system reconfiguration, the system may have several possible paths and may fail to meet control requirements if concurrent reconfiguration events and normal events are not controlled. To guarantee the safety and correctness of such complex systems, formal verification is of great importance during a system design stage. This paper extends the formalism reconfigurable timed net condition/event systems (R-TNCESs) in order to model all possible dynamic behavior in such systems. After that, the designed system based on extended R-TNCESs is verified with the help of a software tool SESA for functional, temporal, and energy-efficient properties. This paper is illustrated by an automatic assembly system.
36
Ortega Jiménez, César H., e Ignacio Eguía Salinas. "Sistema de manufactura reconfigurable y competitividad industrial". Economía y Administración (E&A) 1, n. 2 (20 giugno 2017): 97–113. http://dx.doi.org/10.5377/eya.v1i2.4352.
Abstract (sommario):
Este artículo ha decidido usar un modelo dinámico de competitividad de la Producción de Alto Rendimiento (High Performance Manufacturing, HPM), que presentelas condiciones actuales en el escenario industrial a nivel mundial,para la futura implementación de Sistemas de Manufactura Reconfigurable (Reconfigurable Manufacturing Systems, RMSs). Así pues, aunque los RMSs pueden ser esenciales para la mejora continua, la globalización ha hecho difícil ganar ventaja (o aún paridad) competitiva a largo plazo con sólo implementar tales sistemas innovadores. Ello se debe en parte a la incesante e impredecible (y a veces predecible) evolución de las estructuras de mercado, de las demandas y de la tecnología de productos y de procesos. Por tanto, puede ser arriesgado el hacer predicciones de posibles rendimientos del impacto de futuros RMSs, desde mucha de la literatura teórica y empírica relacionada con el tema. Además, la evidencia de estudios empíricos en HPM muestra que la piedra angular de la competitividad industrial no es crear una nueva tendencia, sino más bien mejorar continuamente al seleccionar y adaptar, según sea necesario, sólo las practicas avanzadas de producción (PAPs) que se ajusten al contexto especifico de la fábrica, estableciendo vínculos entre las PAPs existentes y las nuevas por instalar. Así pues, tomando el contexto del HPM, se establecen las condiciones actuales para la implementación del RMS. Finalmente, este artículo hace sugerencias en relación alRMSe identifica posibles direcciones para futura investigación.
37
Petroodi, S. Ehsan Hashemi, Amélie Beauville Dit Eynaud, Nathalie Klement e Reza Tavakkoli-Moghaddam. "Simulation-based optimization approach with scenario-based product sequence in a reconfigurable manufacturing system (RMS): A case study". IFAC-PapersOnLine 52, n. 13 (2019): 2638–43. http://dx.doi.org/10.1016/j.ifacol.2019.11.605.
38
M. Mabkhot, Mohammed, Saber Darmoul, Ali M. Al-Samhan e Ahmed Badwelan. "A Multi-Criteria Decision Framework Considering Different Levels of Decision-Maker Involvement to Reconfigure Manufacturing Systems". Machines 8, n. 1 (21 febbraio 2020): 8. http://dx.doi.org/10.3390/machines8010008.
Abstract (sommario):
Reconfigurable Manufacturing Systems (RMSs) rely on a set of technologies to quickly adapt the manufacturing system capacity and/or functionality to meet unexpected disturbances, such as fluctuation/uncertainty of demand and/or unavailability/unreliability of resources. At the operational stage, such disturbances raise new production requirements and risks, which call upon Decision-Makers (DMs) to analyze the opportunity to move from a running configuration to another more competitive one. Such a decision is generally based on an evaluation of a multitude of criteria, and several multi-criteria decision-making (MCDM) approaches have been suggested to help DMs with the reconfiguration process. Most existing MCDM approaches require some assignment of weights to the criteria, which is not a trivial task. Unfortunately, existing studies on MCDM for an RMS have not provided guidelines to weigh the evaluation criteria. This article fills in this gap by offering a framework to set up such weights. We provide a comprehensive set of quantitative indicators to evaluate the reconfiguration decisions during the operation of the RMS. We suggest three weighting methods that are convenient to different levels of DM expertise and desired degree of involvement in the reconfiguration process. These weighting methods are based on (1) intuitive weighting, (2) revised Simos procedural weighting combined with the Technique for Order of Preferences by Similarity to Ideal Solution (TOPSIS), and (3) DM independent weighting using ELECTRE IV. The implementation of the suggested framework and a comparison of the suggested methods carried out on an industrial case study are described herein.
39
Kaid, Husam, Abdulrahman Al-Ahmari, Zhiwu Li e Reggie Davidrajuh. "Intelligent Colored Token Petri Nets for Modeling, Control, and Validation of Dynamic Changes in Reconfigurable Manufacturing Systems". Processes 8, n. 3 (20 marzo 2020): 358. http://dx.doi.org/10.3390/pr8030358.
Abstract (sommario):
The invention of reconfigurable manufacturing systems (RMSs) has created a challenging problem: how to quickly and effectively modify an RMS to address dynamic changes in a manufacturing system, such as processing failures and rework, machine breakdowns, addition of new machines, addition of new products, removal of old machines, and changes in processing routes induced by the competitive global market. This paper proposes a new model, the intelligent colored token Petri net (ICTPN), to simulate dynamic changes or reconfigurations of a system. The main idea is that intelligent colored tokens denote part types that represent real-time knowledge about changes and status of a system. Thus, dynamic configurations of a system can be effectively modeled. The developed ICTPN can model dynamic changes of a system in a modular manner, resulting in the development of a very compact model. In addition, when configurations appear, only the changed colored token of the part type from the current model has to be modified. Based on the resultant ICTPN model, deadlock-free, conservative, and reversible behavioral properties, among others, are guaranteed. The developed ICTPN model was tested and validated using the GPenSIM tool and compared with existing methods from the literature.
40
Lahrichi, Youssef, Laurent Deroussi, Nathalie Grangeon e Sylvie Norre. "A balance-first sequence-last algorithm to design RMS: a matheuristic with performance guaranty to balance reconfigurable manufacturing systems". Journal of Heuristics 27, n. 1-2 (29 marzo 2021): 107–32. http://dx.doi.org/10.1007/s10732-021-09473-1.
41
Mehrabi, M. G., e E. Kannatey-Asibu. "Mapping theory: a new approach to design of multi-sensor monitoring of reconfigurable machining systems (RMS)". Journal of Manufacturing Systems 20, n. 5 (gennaio 2001): 297–304. http://dx.doi.org/10.1016/s0278-6125(01)80049-2.
42
Wang, Yongquan, Guangpeng Zhang, Jiali Wang, Pan Liu e Nina Wang. "Reconfigurable Machine Tool Design for Box-Type Part Families". Machines 9, n. 8 (29 luglio 2021): 148. http://dx.doi.org/10.3390/machines9080148.
Abstract (sommario):
The reconfigurable manufacturing system (RMS) is a new manufacturing technology and paradigm that resolves the contradictions regarding high efficiency, low cost and flexible production in the mass production of part families. Reconfigurable machine tools (RMTs) are the core components of RMSs. A new approach is proposed for the design of RMTs, which is closely related to the process planning of a given box-type part family. The concepts of the processing unit and the processing segment are presented; they are not only the basic elements of the processing plans of machined parts, but also closely related to the structural design of RMTs. Processing units created by processing features can be combined into various processing segments. All the processing units of one processing segment correspond to the machining operations performed by one RMT. By arranging the processing segments according to the processing sequence, a variety of feasible processing plans for a part can be obtained. Through analysis of the established similarity calculation model for processing plans, the most similar processing plans for the parts in a given part family can be determined and used for the structural design of RMTs. Therefore, the designed RMTs can achieve rapid conversion of processing functions with the least module replacement or adjustment to realize the production of the parts in the part family. Taking the production of a gearbox part family as an example, the validity of the presented method is verified.
43
Chalfoun, Imad, Khalid Kouiss, Anne-Lise Huyet, Nicolas Bouton e Pascal Ray. "Proposal for a Generic Model Dedicated to Reconfigurable and Agile Manufacturing Systems (RAMS)". Procedia CIRP 7 (2013): 485–90. http://dx.doi.org/10.1016/j.procir.2013.06.020.
44
Rehman, Ateekh, Syed Mian, Usama Umer e Yusuf Usmani. "Strategic Outcome Using Fuzzy-AHP-Based Decision Approach for Sustainable Manufacturing". Sustainability 11, n. 21 (30 ottobre 2019): 6040. http://dx.doi.org/10.3390/su11216040.
Abstract (sommario):
The manifestation of new part designs and continuously changing market demands as well as the requirements of new functions and technologies often results in higher material cost, lesser machine utilization, and extensive wastage of energy. As a consequence, companies across the world are striving for sustainable manufacturing, which can ensure flexibility as well as adaptability, with higher productivity and lesser wastage of resources. The dynamic and competitive nature of the world market emphasizes the importance of economically sustainable setups, such as reconfigurable cellular manufacturing systems (RCMSs). Indeed, among several cutting-edge strategies, the RCMS is the most prominent owing to its versatility, rationality, and resilience. However, one of the limitations associated with RCMS is the evaluation and selection of the best configuration that can meet abrupt changes and achieve manufacturing sustainability. Therefore, organizations intending to reconfigure have to address the issue of evaluating all possible alternatives and selecting the best one using a well-defined methodology. This paper focuses on evaluating and finding the best configuration using multi-criteria decision-making (MCDM) approaches depending on PROMETHEE and VIKOR. The fuzzy analytic hierarchy process (FAHP) is utilized to compute the weights of various criteria because it also considers any uncertainty and vagueness existing in the problem. The assessing attributes in this study are selected by keeping in mind the objective of sustainable manufacturing. The two MCDM methods are utilized for ranking different configurations to ascertain the results obtained from the other. The study accomplished in this paper is related to manufacturing setups that need to be reconfigured. The number of manufacturing configurations is determined, and simulation models are established for each configuration. The simulation outcomes are examined using the FAHP-PROMETHEE and FAHP-VIKOR to assess the appropriateness of each configuration depending on the identified performance measures. The results of the experiments show the importance of employing MCDM in RCMS to achieve sustainable manufacturing and determining the most effective setup.
45
Jia, Xiaozhe, Hongrui Tan, Xinyu Dong, Fuju Ye, Haoyang Cui e Lei Chen. "Dual-Polarized Reconfigurable Manipulation Based on Flexible-Printed Intelligent Reflection Surface". Photonics 11, n. 1 (8 gennaio 2024): 69. http://dx.doi.org/10.3390/photonics11010069.
Abstract (sommario):
In the background of 6G communication requiring a high data rate and energy efficiency, global coverage and connectivity, as well as high reliability and low latency, most existing reconfigurable metasurfaces face limitations in flexibility, integrability, energy consumption, and cost. This paper proposes a dual-polarized intelligent reflection surface (IRS) based on a paper-based flexible substrate as a solution. The proposed design uniquely enables the independent control of two orthogonally polarized electromagnetic waves to achieve customized scattering effects. Compared to conventional reconfigurable intelligent surfaces using PCB technology and active components, this design utilizes paper as the substrate material combined with conductive ink and silver ink, significantly reducing production costs and process complexity. The manufacturing cost is only about one-tenth of the traditional PCB solutions. This approach is not only cost-effective but also excels in both flexibility and portability. These attributes signify its suitability for a broader range of potential applications, encompassing areas where traditional RIS may be impractical due to cost, rigidity, or complexity constraints. By drawing rotationally symmetric small metal block structures on paper using silver ink, four structures are designed that achieve a phase difference of 90 degrees for both x-polarized and y-polarized wave incidences at the resonant frequency of 4.5754 GHz, realizing independent phase modulation. The dual-polarized flexible 2-bit intelligent reflection surface consists of 20×20 unit cells, and six different coding patterns are designed for single-beam and dual-beam design based on different scattering angles. The experimental results show that this polarization-independent flexible 2-bit intelligent reflection surface structure successfully allows independent control of two orthogonally polarized electromagnetic waves, enabling customized scattering effects. The experimental results are highly consistent with the simulation results. The independent control of two orthogonal polarized electromagnetic waves is a key feature of our design, enabling more flexible and effective signal coverage in complex urban environments. This precise control over polarization not only enhances the adaptability of the system but also offers practical solutions for real-world applications, particularly in meeting the growing demands of urban communication. The proposed metasurface based on paper-based flexible substrate is low-cost and highly portable, and the polarization independence provides more degrees of freedom for the metasurface, which is beneficial for more precise and efficient beam control and can be applied in the field of communication, especially 6G communication and IRS wireless communication. In addition, it also has broad application prospects in radar systems and remote sensing applications.
46
Fan, Dabao, Daxing Zeng, Weijian Tan, Wenjuan Lu, Haitao Liu e Yulei Hou. "Research on the Type Synthesis of a Regular Hexagonal Prism Rubik’s Cube Mechanism". Machines 12, n. 1 (21 dicembre 2023): 6. http://dx.doi.org/10.3390/machines12010006.
Abstract (sommario):
The Rubik’s Cube mechanism (RCM) is a kind of reconfigurable mechanism with multiple characteristics such as multiple configurations, variable topology, strong coupling, and reconfigurability. Crossover research on the RCM with mathematics, chemistry, cryptography, and other disciplines has led to important breakthroughs and progress. It is obvious that the invention and creation of a new RCM can provide important ideological inspiration and theoretical guidance for the accelerated iterative updating of Rubik’s Cube products and the expansion of their applications. This paper investigates the type synthesis method for a regular hexagonal prism (RHP) RCM (RHPRCM). Through analysis of the reconfigurable movement process of the RCM, two mechanism factors are abstracted, a type synthesis process for the RHPRCM is proposed, a symmetry layout method for the RCM’s revolute axis based on the RHP space polyhedron is proposed, and an analysis method for the intersection of the revolute pair contact surfaces (RPCSs) based on the adjacency matrix is proposed. Taking a revolute axis passing through the center of an RHP and having only one RPCS for each revolute axis as an example, an RHPRCM with different topological structures is synthesized. The relevant research in this paper can provide methodological guidance for the synthesis of other spatial RCMs.
47
Zheng, Bei Rong, Wei Xue e Xiao Wen Xie. "Reconfigurable Manufacturing Resource Modeling Technology". Advanced Materials Research 341-342 (settembre 2011): 364–68. http://dx.doi.org/10.4028/www.scientific.net/amr.341-342.364.
Abstract (sommario):
How to model reconfigurable resources, how to make manufacturing resources to rapidly form into new production functions and capability is an unsolved problem. Based on current manufacturing resource knowledge representation, in the paper, manufacturing resource ontology modeling method is presented which has considered characteristics of reconfigurable manufacturing system (RMS), configuration changeable and system adjustable. Furthermore, resource description ontology is defined and example model is also presented; after formalize the concepts, attributes and relations of ontology, the knowledge base including ontology base, attribute base and relation base are constructed. The method proposed can provide strong support for reconfiguration and deformation of RMS.
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Khanna, Kamal, e Rakesh Kumar. "Reconfigurable manufacturing system: a state-of-the-art review". Benchmarking: An International Journal 26, n. 8 (7 ottobre 2019): 2608–35. http://dx.doi.org/10.1108/bij-05-2018-0140.
Abstract (sommario):
PurposeThe purpose of this paper is to present an organized review of existing research on reconfigurable manufacturing system (RMS). The paper considers majority of the prominent research articles in the domain of RMS published ever since RMS was envisaged in 1997.Design/methodology/approachThe paper systematically reviews, classifies and analyses the published literature on postulations and design of RMSs. The general observations from the literature and research gaps recognized thereon are highlighted at the end of each section/sub-section.FindingsThe paper reveals important aspects related to RMS research since its inception. It also recognizes the areas of RMS research requiring more focus. The study also highlights open issues and future directions for further research.Practical implicationsThe literature in the domain of RMS has so far been narrow. This paper reviews the prominent research in this field and presents an overview of its conceptual developments and various mathematical models for the RMS design and its optimization so far developed by the researchers. Further, manufacturing advancements and future directions have also been proposed for the efficient execution of RMS paradigm in manufacturing industries.Originality/valueThe paper provides an organized listing of published research work in the field of RMS. This work will provide an insight to the researchers, practitioners and others related directly or indirectly to this field to develop and understand better strategies for supervising and controlling the smooth implementation of RMS.
49
Koren, Y., U. Heisel, F. Jovane, T. Moriwaki, G. Pritschow, G. Ulsoy e H. Van Brussel. "Reconfigurable Manufacturing Systems". CIRP Annals 48, n. 2 (1999): 527–40. http://dx.doi.org/10.1016/s0007-8506(07)63232-6.
50
Bhargav, A., C. N. V. Sridhar e M. L. S. Deva Kumar. "Study of Production Scheduling Problem for Reconfigurable Manufacturing System (RMS)". Materials Today: Proceedings 4, n. 8 (2017): 7406–12. http://dx.doi.org/10.1016/j.matpr.2017.07.071.