Relevant bibliographies by topics / Reconfigurable manufacturing systems (RMS)

Academic literature on the topic 'Reconfigurable manufacturing systems (RMS)'

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Published: 8 June 2024

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Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Journal articles on the topic "Reconfigurable manufacturing systems (RMS)":

1

Kumar, Vipin, Sreeraj Ramesan, Vipin Kumar, and Dr A. K. Madan. "Reconfigurable Manufacturing System: A Review." International Journal for Research in Applied Science and Engineering Technology 10, no. 3 (March 31, 2022): 188–99. http://dx.doi.org/10.22214/ijraset.2022.40594.

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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, and G. Reinhart. "Produktionsplanung in RMS/Production Planning in RMS - System for Production Process Planning in Reconfigurable Manufacturing Systems (RMS)." wt Werkstattstechnik online 105, no. 04 (2015): 209–14. http://dx.doi.org/10.37544/1436-4980-2015-04-51.

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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, no. 7 (August 26, 2014): 934–57. http://dx.doi.org/10.1108/jmtm-07-2011-0070.

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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.
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Smedberg, Henrik, Carlos Alberto Barrera-Diaz, Amir Nourmohammadi, Sunith Bandaru, and Amos H. C. Ng. "Knowledge-Driven Multi-Objective Optimization for Reconfigurable Manufacturing Systems." Mathematical and Computational Applications 27, no. 6 (December 9, 2022): 106. http://dx.doi.org/10.3390/mca27060106.

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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, and Wen Chien Wu. "Integrated Development of a Modularized ECM Manufacturing System Based on the Reconfigurable Manufacturing System Concept." Key Engineering Materials 516 (June 2012): 102–7. http://dx.doi.org/10.4028/www.scientific.net/kem.516.102.

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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.
6

Guo, Bo, Fu-Shin Lee, Chen-I. Lin, and Yun-Qing Lu. "A cloud integrated strategy for reconfigurable manufacturing systems." Concurrent Engineering 28, no. 4 (October 2, 2020): 305–18. http://dx.doi.org/10.1177/1063293x20958937.

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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, and Jinwoo Park. "Reconfiguration Decision-Making of IoT based Reconfigurable Manufacturing Systems." Applied Sciences 10, no. 14 (July 13, 2020): 4807. http://dx.doi.org/10.3390/app10144807.

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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, no. 7 (March 26, 2024): 2778. http://dx.doi.org/10.3390/app14072778.

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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, and Di Wang. "Key Technology and Architecture of Reconfigurable Manufacturing System." Applied Mechanics and Materials 556-562 (May 2014): 6034–37. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.6034.

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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, and Hector J. Carlo. "Integrating Reconfiguration Cost Into the Design of Multi-Period Scalable Reconfigurable Manufacturing Systems." Journal of Manufacturing Science and Engineering 129, no. 1 (August 15, 2006): 202–10. http://dx.doi.org/10.1115/1.2383196.

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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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Journal articles Dissertations / Theses Books

Dissertations / Theses on the topic "Reconfigurable manufacturing systems (RMS)":

1

Rösiö, Carin. "Supporting the design of reconfigurable production systems." Doctoral thesis, Tekniska Högskolan, Högskolan i Jönköping, JTH. Forskningsmiljö Industriell produktion, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-20306.

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To compete, manufacturing companies need production systems that quickly can respond to changes. To handle change drivers such as volume variations or new product variants, reconfigurability is advocated as a competitive means. This implies an ability to add, remove, and/or rearrange the structure of the production system to be ready for future changes. Still, it is not clear how the production system design process can capture and support the de-sign of reconfigurable production systems. Therefore, the objective of this thesis is to increase the knowledge of how to support the design of reconfig-urable production systems. Reconfigurability could be defined by a number of reconfigurability char-acteristics including convertibility, scalability, automatibility, mobility, modularity, integrability, and diagnosability. In eight case studies, reconfigu-rability characteristics in production system design were studied in order to investigate reconfigurability needs, knowledge, and practice in manufactur-ing companies. In three of the case studies reconfigurable production sys-tems were studied to identify the links between change drivers and reconfig-urability characteristics. In the remaining five case studies, reconfigurability in the production system design processes was addressed in terms of needs, prerequisites, and consideration. Based on the literature review and the case studies, support for reconfigu-rable production system design is suggested including two parts. The first part comprises support for analyzing the need for reconfigurability. Based on relevant change drivers the need for reconfigurability must be identified to enable selection of right type and degree of reconfigurability for each specif-ic case of application. A comprehensive view of the reconfigurability charac-teristics is presented and links between change drivers and reconfigurability characteristics are described. The characteristics are divided into critical characteristics, that lead to a capacity or functionality change of the produc-tion system, and supporting characteristics, that reduce system reconfigura-tion time but do not necessarily lead to a modification of functionality or capacity of the production system. The second part provides support in how to consider reconfigurability in the production system design process. A holistic perspective is crucial to design reconfigurable production systems and therefore constituent parts of a production system are described. Accord-ing to their character physical, logical, and human reconfiguration must be considered through the whole production system design process.
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Del, Riego Navarro Andrés, and Pérez Álvaro Rico. "Simulation-based multiobjective optimization and availability analysis of reconfigurable manufacturing systems." Thesis, Högskolan i Skövde, Institutionen för ingenjörsvetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-20196.

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Due to the changes and improvements that have occurred over the years, the manufacturing sector has evolved. Companies in the 21st-century face changes in the marketplace that are difficult to predict due to international competition and the rapid emergence of new products. To cope, companies must reinvent themselves and design manufacturing systems that seek to produce quality and low-cost products, and respond to the changes that must be faced. These capabilities are encompassed in reconfigurable manufacturing systems (RMS), capable of dealing with uncertainties quickly and economically. On the other hand, production planning with this type of system presents a significant challenge. Although simulation-based optimization techniques have been applied to address certain RMS challenges, only a few studies have applied simulation-based multi-objective optimization to simultaneously address several conflicting design objectives, as is the case in this project. This project aims to investigate some aspects using SBMO that directly affect the performance of a plant and demonstrate the usefulness of the method.

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Sohaleh, Hamed. "RECONFIGURABLE MANUFACTURING SYSTEM:AN ENABLER FOR COMPETITIVENESS FOR TODAY’S INDUSTRY." Thesis, Mälardalens högskola, Innovation och produktrealisering, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-35627.

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Tough market situation from one side and global competition from another side are persuading companies to search for new manufacturing concepts and try to stay competitive. But “how” to consider “new” manufacturing systems is still a big question mark.This thesis aims to analyze reconfigurability as an enabler for competitiveness in manufacturing systems. The frame of work in this study is “Reconfigurable Manufacturing System” or briefly RMS. In first chapter, some background about reconfigurability has been stated. Then it will continue with research questions, delimitations and expected results.Then the research methodology and challenges for applying RMS have been stated. This chapter explains researchers’ method for data reviewing and data collection. Another focus area in this thesis is SME (Small and Medium size Enterprises). So this report tries also to examine reconfigurability challenges in SMEs. There is a big gap between “ideal” production system and “designing” of this ideal production system. So this thesis tried to increase the knowledge about design of reconfigurable manufacturing systems.In empirical study chapter two case studies have been analysed and as a result a list of challenges for implementing reconfigurable system has been proposed. Then some solutions and methods are proposed in order to answer to challenges. This solutions and methods are then discussed and evaluated.Finally, in last chapter, challenges and prerequisites for implementing reconfigurable manufacturing system in general and for SMEs in specific have been stated. This chapter was ended by expressing future works.
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Jiang, Claudio. "Approccio integrato per la pianificazione degli interventi manutentivi e della riconfigurazione nei sistemi RMS." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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I sistemi RMS (Reconfigurable Manufacturing System), progettati con caratteristiche di modularità e flessibilità, nascono in risposta alle necessità del mercato moderno. Tuttavia, la letteratura non ha ancora affrontato organicamente la problematica della coordinazione tra politica manutentiva e attività di riconfigurazione che questi sistemi richiedono. L’elaborato dopo aver descritto brevemente l’evoluzione dei sistemi di produzione e le caratteristiche e le tecnologie abilitanti dei sistemi RMS affronta il problema della manutenzione all’interno di sistemi di produzione complessi. L’obbiettivo è la presentazione di un modello manutentivo preventivo e opportunistico ottimizzato specificatamente per sistemi produttivi riconfigurabili, che tenga conto della contemporanea usura di macchine e moduli e della necessità di riconfigurazione del sistema. L’euristica presentata è stata implementata mediante il linguaggio di programmazione Java per la parte algoritmica e di elaborazione dati e su Excel per la parte relativa alla lettura dei dati in input e output, al fine di dimostrare l’adattabilità dell’euristica e la sua concreta applicabilità a un sistema produttivo. Il valore dei parametri e il costo totale della politica manutentiva sono stimati e ottimizzati mediante un processo di simulazione. L’esempio numerico proposto mostra come l’euristica presentata, se implementata, possa rispondere alle necessità manutentive di un sistema RMS garantendo costi totali minori rispetto a un modello di manutenzione preventiva age-based e rispetto a manutenzioni a rottura.
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Ameer, Muhammad. "Integrated and multi-criteria approaches for process plan generation in reconfigurable manufacturing systems with consideration of system capabilities and product constraints." Electronic Thesis or Diss., Université de Lorraine, 2022. http://www.theses.fr/2022LORR0242.

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Les systèmes de fabrication modernes connaissent un changement de paradigme qui met l'accent sur l'intégration des technologies du numérique dans les systèmes de production afin de relever le défi des demandes incertaines du marché. Les systèmes de fabrication ont besoin d'une certaine réactivité pour faire face à ces incertitudes en s'adaptant en conséquence, et nécessitent une plus grande évolutivité aux niveaux physique et logique. À cet effet, les systèmes de fabrication modernes sont conçus avec des capacités de ressources dynamiques, avec des composants modulaires, de sorte qu'ils puissent fournir le niveau requis de reconfigurabilité. Dans la perspective de l'"industrie 4.0", la reconfigurabilité est indispensable à l'adaptation efficace des systèmes de fabrication dans un environnement complexe. La reconfigurabilité permet une adaptation rapide de ces systèmes ainsi qu'une réactivité rapide à la compétitivité socio-techno-économique. L'objectif est de répondre aux défis modernes (externes et internes), c'est-à-dire la personnalisation de masse, la mondialisation, la gestion de la variété des produits, la gestion de la reconfiguration des systèmes et la réduction des délais.Dans cette thèse, le problème de conception des systèmes de fabrication reconfigurables (RMS) est considéré pour répondre aux exigences susmentionnées. L'objectif est de concevoir un système réactif basé sur deux caractéristiques clés : la modularité et la reconfigurabilité. Nous étudions le problème de conception du RMS comme étant le développement d'une gamme de fabrication pour une pièce spécifique de la famille considérée, ainsi que la sélection des capacités de ressources dynamiques du système pour fabriquer cette pièce.Ce travail est divisé en trois parties : (1) Cogénération du processus et du plan de préparation pour une pièce dans un environnement reconfigurable. L'objectif principal est de développer une nouvelle approche pour considérer conjointement les contraintes de préparation et de gamme de fabrication, en tenant compte des relations entre les opérations. (2) Minimisation de l'effort de reconfiguration dans la conception des gammes. Nous proposons un nouvel indice de performance de l'effort généré par la reconfiguration des machines et des fixations, ainsi que le transfert des pièces. L'objectif est d'assurer une meilleure réactivité et une haute performance la gamme conçue. (3) Maximisation de l'utilisation des capacités des ressources dynamiques de la conception RMS. Nous considérons un problème de conception RMS pour la sélection de machines, où la sélection de différents types de machines-outils reconfigurables (RMT) est réalisée pour exécuter la gamme de la pièce considérée
Modern manufacturing systems are going through a paradigm shift where the focus is on the integrating the digital technologies in the production systems to address the challenge of uncertain market demands. Manufacturing systems needs certain amount responsiveness to address these uncertainties by adapting accordingly, and require more changeability at physical as well as logical levels. For this purpose, modern-day manufacturing systems are designed with dynamic resource capabilities, with modular components, so that they can provide the required amount of reconfigurability. From the perspective of "industry 4.0", reconfigurability is vital for the effective adaptation of manufacturing systems in a complex environment. Reconfigurability provides the quick adaptation of these systems along with quick responsiveness towards socio-techno-economic competitiveness. The objective is to respond to modern-day challenges (both external and internal), i.e. mass customization, globalization, product variety management, system reconfiguration management, and reducing the lead time.In this thesis, the design problem of reconfigurable manufacturing systems (RMS) is considered which meets the aforementioned requirements. The goal is to design a responsive system based on two key features modularity and reconfigurability. We study the RMS design problem as, the development of a process plan for a particular part of the part family along with the selection of the system's dynamic resource capabilities to perform that part. This work is divided into three parts: (1) Co-generation of process and setup plan for a part in the reconfigurable environment. The main objective is to develop a new approach to jointly consider the setup and process plan constraints, with consideration of relationships between the operations. (2) Minimisation of reconfiguration effort in process design. We propose a novel performance index of the effort generated by the machines and fixtures reconfiguration, and part transfer. The objective is to ensure better responsiveness and high performance of the designed process plan. (3) Maximisation the utilization of dynamic resource capabilities of RMS design. We consider a RMS design problem for machine selection, where selection of different types of reconfigurable machine tools (RMTs) are carried out for performing the process plan of considered part
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Haddou, Benderbal Hichem. "Développement d’une nouvelle famille d’indicateurs de performance pour la conception d’un système manufacturier reconfigurable (RMS) : approches évolutionnaires multicritères." Thesis, Université de Lorraine, 2018. http://www.theses.fr/2018LORR0112/document.

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L'environnement manufacturier moderne est face à un bouleversement de paradigmes nécessitant plus de changeabilité au niveau physique et logique. Un système manufacturier Changeable est défini comme un système de production ayant les capacités de faciliter les changements adéquats, permettant d'ajuster ses structures et ses processus en réponse aux différents besoins. Dans ce contexte, les systèmes manufacturiers doivent se doter d’un très haut niveau de reconfigurabilité, qui est considérée comme l’un des facteurs majeurs du concept de changeabilité. En effet, dans la vision de l'Usine du Futur, la reconfigurabilité est essentielle pour s'adapter efficacement à la complexité croissante des environnements manufacturiers. Elle assure une adaptation rapide, efficace et facile de ces systèmes tout en étant réactif, robuste et économiquement compétitif. L’objectif est de répondre aux nouvelles contraintes internes et externes telles que la globalisation, la variété des produits, la personnalisation de masse ou le raccourcissement des délais. À travers cette thèse, nous étudions la problématique de conception des systèmes manufacturiers reconfigurables (Reconfigurable Manufacturing System – RMS). L’objectif consiste à concevoir des systèmes réactifs en se basant sur leurs capacités en matière de reconfigurabilité. Nous avons étudié ce problème sur trois niveaux : (i) le niveau des composantes, relatif aux modules des machines reconfigurables, (ii) le niveau des machines et leurs interactions, ainsi que l’impact de ces interactions sur le système et (iii) le niveau de l'atelier, composé de l'ensemble des machines reconfigurables. Nous avons développé pour chaque niveau, des indicateurs de performance afin d’assurer les meilleures performances du système conçu, tels que l’indicateur de modularité, l’indicateur de flexibilité, l’indicateur de robustesse et l’effort d'évolution d'un système reconfigurable. Pour l'ensemble des problèmes étudiés, nous avons développé des modèles d’optimisation multicritère, résolus à travers des heuristiques ou des métaheuristiques multicritères (comme le recuit simulé multicritère (AMOSA) et les algorithmes génétiques multicritère (NSGA-II)). De nombreuses expériences numériques et analyses ont été réalisées afin de démontrer l’applicabilité de nos approches
The modern manufacturing environment is facing a paradigm shift that require more changeability at physical and logical levels. A Changeable Manufacturing System is defined as a production system that has the ability to facilitate the right changes, allowing the adjustment of its structures and processes in response to the different needs. In this context, manufacturing systems must have a very high level of reconfigurability, which is considered to be one of the major enablers of changeability. From the perspective of the “Factory of the future”, the reconfigurability is essential to effectively adapt to the ever-increasing complexity of manufacturing environments. It allows a rapid, efficient and easy adaptation of these systems while being responsive, robust and economically competitive. The objective is to respond to new internal and external constraints in terms of globalization, variety of products, mass customization, and shorter lead times. Through this thesis, we study the problem of design of reconfigurable manufacturing systems (RMS) that meets these requirements. The goal is to design responsive systems based on their key features of reconfigurability. We have studied the RMS design problem on three levels: (i) the level of the components, relating to the modules of the reconfigurable machines, (ii) the machine level and their interactions, as well as the impact of these interactions on the system and (iii) the workshop level composed of all the reconfigurable machines. We have developed for each level, performance indicators to ensure a better responsiveness and a high performance of the designed system, like the modularity index, the flexibility index, the robustness index and the layout evolution effort of a reconfigurable system. For each of the studied problems, we developed multicriteria optimization models, solved through heuristics or multicriteria metaheuristics (such as archived multi-objective simulated annealing (AMOSA) and multi-objective genetic algorithms (NSGA-II)). Numerous numerical experiments and analyzes have been performed to demonstrate the applicability of our approaches
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Haddou, Benderbal Hichem. "Développement d’une nouvelle famille d’indicateurs de performance pour la conception d’un système manufacturier reconfigurable (RMS) : approches évolutionnaires multicritères." Electronic Thesis or Diss., Université de Lorraine, 2018. http://www.theses.fr/2018LORR0112.

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L'environnement manufacturier moderne est face à un bouleversement de paradigmes nécessitant plus de changeabilité au niveau physique et logique. Un système manufacturier Changeable est défini comme un système de production ayant les capacités de faciliter les changements adéquats, permettant d'ajuster ses structures et ses processus en réponse aux différents besoins. Dans ce contexte, les systèmes manufacturiers doivent se doter d’un très haut niveau de reconfigurabilité, qui est considérée comme l’un des facteurs majeurs du concept de changeabilité. En effet, dans la vision de l'Usine du Futur, la reconfigurabilité est essentielle pour s'adapter efficacement à la complexité croissante des environnements manufacturiers. Elle assure une adaptation rapide, efficace et facile de ces systèmes tout en étant réactif, robuste et économiquement compétitif. L’objectif est de répondre aux nouvelles contraintes internes et externes telles que la globalisation, la variété des produits, la personnalisation de masse ou le raccourcissement des délais. À travers cette thèse, nous étudions la problématique de conception des systèmes manufacturiers reconfigurables (Reconfigurable Manufacturing System – RMS). L’objectif consiste à concevoir des systèmes réactifs en se basant sur leurs capacités en matière de reconfigurabilité. Nous avons étudié ce problème sur trois niveaux : (i) le niveau des composantes, relatif aux modules des machines reconfigurables, (ii) le niveau des machines et leurs interactions, ainsi que l’impact de ces interactions sur le système et (iii) le niveau de l'atelier, composé de l'ensemble des machines reconfigurables. Nous avons développé pour chaque niveau, des indicateurs de performance afin d’assurer les meilleures performances du système conçu, tels que l’indicateur de modularité, l’indicateur de flexibilité, l’indicateur de robustesse et l’effort d'évolution d'un système reconfigurable. Pour l'ensemble des problèmes étudiés, nous avons développé des modèles d’optimisation multicritère, résolus à travers des heuristiques ou des métaheuristiques multicritères (comme le recuit simulé multicritère (AMOSA) et les algorithmes génétiques multicritère (NSGA-II)). De nombreuses expériences numériques et analyses ont été réalisées afin de démontrer l’applicabilité de nos approches
The modern manufacturing environment is facing a paradigm shift that require more changeability at physical and logical levels. A Changeable Manufacturing System is defined as a production system that has the ability to facilitate the right changes, allowing the adjustment of its structures and processes in response to the different needs. In this context, manufacturing systems must have a very high level of reconfigurability, which is considered to be one of the major enablers of changeability. From the perspective of the “Factory of the future”, the reconfigurability is essential to effectively adapt to the ever-increasing complexity of manufacturing environments. It allows a rapid, efficient and easy adaptation of these systems while being responsive, robust and economically competitive. The objective is to respond to new internal and external constraints in terms of globalization, variety of products, mass customization, and shorter lead times. Through this thesis, we study the problem of design of reconfigurable manufacturing systems (RMS) that meets these requirements. The goal is to design responsive systems based on their key features of reconfigurability. We have studied the RMS design problem on three levels: (i) the level of the components, relating to the modules of the reconfigurable machines, (ii) the machine level and their interactions, as well as the impact of these interactions on the system and (iii) the workshop level composed of all the reconfigurable machines. We have developed for each level, performance indicators to ensure a better responsiveness and a high performance of the designed system, like the modularity index, the flexibility index, the robustness index and the layout evolution effort of a reconfigurable system. For each of the studied problems, we developed multicriteria optimization models, solved through heuristics or multicriteria metaheuristics (such as archived multi-objective simulated annealing (AMOSA) and multi-objective genetic algorithms (NSGA-II)). Numerous numerical experiments and analyzes have been performed to demonstrate the applicability of our approaches
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Eriksson, Gustav, and Johan Isendahl. "Conceptual decision support tool for RMS-investments : A three-pronged approach to investments with focus on performance metrics for reconfigurability." Thesis, Tekniska Högskolan, Jönköping University, JTH, Produktionsutveckling, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-49773.

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Today's society is characterized by a high degree of change where the manufacturing systems are affected by both internal and external factors. To adapt to current manufacturing requirements in the form of short lead-time, more variants, low and fluctuating volumes, in a cost-efficient manner, new approaches are needed. As the global market and its uncertainties for products and its lifecycles change, a concept called 'reconfigurable manufacturing system' has been developed. The idea is to design a manufacturing system for rapid structural change in both hardware and software to be responsive to capacity and functionality. A company's development towards the concept is often based on a strategy of incremental investments. In this situation, the challenges are to prioritize the right project and maximize the performance as well as the financial efficiency of a multi-approach problem. The report is based on three different issues. Partly how to standardize relevant performance-based metrics to measure current conditions, how new performance-based metrics can be developed in collaboration with reconfigurability characteristics, and set a direction for how decision models can be used to optimize step-based investments. The study is structured as an explorative study with qualitative methods such as semi-structured interviews and document study to get in-depth knowledge. Related literature addresses concepts in search areas such as reconfigurable manufacturing system, key performance indicators, investment decisions, and manufacturing readiness levels. The findings are extracted from interviews and document studies that generate a focal company setting within the automotive industry, which acts as the foundation for further analysis and decisions throughout the thesis. The analysis results in sixteen performance measurements where new measures been created for product flexibility, productionvolume flexibility, material handling flexibility, reconfiguration quality and diagnosability using reconfigurability characteristics. A conceptual decision support model is introduced with an underlying seven-step investment process, analyzing lifecycle cost, risk triggered events in relation to cost, and performance measurements. The discussion chapter describes how different approaches are used during the project that has been revised by internal and external factors. Improvement possibilities regarding method choice and the aspects of credibility, transferability, dependability, and conformability are discussed. Furthermore, the authors argue about the analysis process and how the result has been affected by circumstances and choices. The study concludes that a three-pronged approach is needed to validate the investment decision in terms of system performance changes, cost, and uncertainty. The report also helps to understand which performance-based metrics are relevant for evaluating manufacturing systems based on operational goals and manufacturing requirements.
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Khoo, N. K. "An integrated system for reconfigurable cellular manufacturing systems." Thesis, University of Liverpool, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.407215.

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Mulubika, Chibaye. "Evaluation of control strategies for reconfigurable manufacturing systems." Thesis, Stellenbosch : Stellenbosch University, 2013. http://hdl.handle.net/10019.1/80300.

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Thesis (MScEng)--Stellenbosch University, 2013.
ENGLISH ABSTRACT: The thesis evaluates control strategies for reconfigurable manufacturing systems by using a welding assembly cell as a case study. The cell consists of a pallet magazine, conveyor, feeder subsystem (comprising an articulated robot and singulation unit), welder subsystem (which uses a modular Cartesian robot), and inspection and removal subsystems. The research focuses on control strategies that enhance reconfigurability in terms of structure, hardware and software using agent-based control and the IEC 61499 standard, based on PC control. Reconfiguration may occur when a new product is introduced, as well as when a new subsystem is introduced or removed from the production cell. The overall control architecture is that the subsystems retain no knowledge of the product, but product information resides in the cell controller, while services offered by the subsystems are registered with the directory facilitator of the Java agent platform. The control strategies are implemented on the modular Cartesian weld robot and the cell controller for assembly cell. A layered architecture with low-level control and high-level control is used to allow separation of concerns and rapid changes in both hardware and software components. The low-level control responds in hard real-time to internal and external events, while the high-level control handles soft real-time actions involving coordination of control related issues. The results showed IEC 61499 function blocks to be better suited to low-level control application in distributed systems, while agents are more suited for high-level control. Modularity in software components enhances hardware and software scalability. Additionally, agents can support online reconfiguration of reconfigurable machines.
AFRIKAANSE OPSOMMING: Die tesis evalueer beheerstrategieë vir herkonfigureerbare vervaardigingstelsels deur gebruik te maak van ’n sweismonteersel as ’n gevallestudie. Die sel bestaan uit ’n palletmagasyn, vervoerbande, voersubstelsel (bestaande uit ’n geartikuleerde robot en singulasie-eenheid), sweissubstelsel (wat gebruik maak van ’n modulêre Cartesiese robot), en inspeksie- en verwyderingsubstelsels. Die navorsing fokus op beheerstrategieë wat herkonfigureerbaarheid verhoog in terme van struktuur, hardeware en sagteware met behulp van agent-gebaseerde beheer en die IEC 61499 standaard, wat gebaseer is op PC-beheer. Herkonfigurasie mag voorkom wanneer ’n nuwe produk in-gestel word, sowel as wanneeer ’n nuwe substelsel bygevoeg of verwyder word van die produksiesel. Die oorhoofse beheerargitektuur is dat die substelsels geen kennis van die produk hou nie, maar die produkinligting in die selbeheerder geberg, terwyl dienste wat aangebied word deur die substelsels wat geregistreer is by die gidsfasiliteerder van die Java agent platform. Die beheerstrategië is geïmplementeer op die modulere Cartesiese sweisrobot en die selbeheerder vir die monteersel. ’n Gelaagde argitektuur met ’n lae-vlak beheer en hoë-vlak beheer word gebruik om skeiding van oorwegings en vinnige veranderinge in beide hardeware en sagteware komponente toe te laat. Die lae-vlak beheer reageer hard intyds op interne en eksterne gebeure, terwyl die hoë-vlak beheer sag intyds die koördinering van beheerverwante kwessies hanteer. Die resultate het getoon dat IEC 61499 funksie-blokke beter geskik is vir lae-vlak beheer toepassing in verspreide stelsels, terwyl agente meer geskik is vir hoë-vlak beheer. Modulariteit in sagteware komponente verhoog hardeware en sagteware skaleerbaarheid. Boonop kan agente ook aanlyn herkonfigurasie van herkonfigureerbare masjiene ondersteun.
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Books on the topic "Reconfigurable manufacturing systems (RMS)":

1

ElMaraghy, Hoda A. Changeable and Reconfigurable Manufacturing Systems. London: Springer London, 2009.

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ElMaraghy, Hoda A., ed. Changeable and Reconfigurable Manufacturing Systems. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-067-8.

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Dashchenko, Anatoli I., ed. Reconfigurable Manufacturing Systems and Transformable Factories. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-29397-3.

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Benyoucef, Lyes, ed. Reconfigurable Manufacturing Systems: From Design to Implementation. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-28782-5.

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Abdi, M. Reza, Ashraf W. Labib, Farideh Delavari Edalat, and Alireza Abdi. Integrated Reconfigurable Manufacturing Systems and Smart Value Chain. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76846-5.

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Koren, Yoram. The global manufacturing revolution: Product-process-business integration and reconfigurable systems. Hoboken, N.J: Wiley, 2010.

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ElMaraghy, Hoda A. Changeable and Reconfigurable Manufacturing Systems. Springer, 2010.

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Dashchenko, Anatoli I. Reconfigurable Manufacturing Systems and Transformable Factories. Springer Berlin / Heidelberg, 2010.

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Dashchenko, Anatoli I. Reconfigurable Manufacturing Systems and Transformable Factories. Springer, 2006.

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Dashchenko, Anatoli I. Reconfigurable Manufacturing Systems and Transformable Factories. Springer London, Limited, 2007.

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Book chapters on the topic "Reconfigurable manufacturing systems (RMS)":

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Sabioni, Rachel Campos, Joanna Daaboul, and Julien Le Duigou. "Optimization of Reconfigurable Manufacturing Systems Configuration: A Literature Review." In Lecture Notes in Mechanical Engineering, 426–35. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70566-4_67.

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AbstractReconfigurable Manufacturing Systems (RMS) have gained importance in the current context of increasing high variety demand, Mass Customization (MC) and market instability, due to their ability of being quickly modified to adjust their production capacity to attain sudden fluctuations in market demands as well as to accommodate operations of new products. RMS can be configured at system and machine levels. Many papers have described the RMS configuration as combinatorial optimization problems and proposed several techniques to optimize them in terms of different responses of interest. This paper presents a literature review that seeks to understand how RMS configuration has been addressed in terms of configuration level, optimization problem modelling and techniques applied to solve it. This work aims to assist researchers working on RMS configuration to identify trends and new research opportunities.
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Abdi, M. Reza, Ashraf W. Labib, Farideh Delavari Edalat, and Alireza Abdi. "RMS Value Chain Architecture." In Integrated Reconfigurable Manufacturing Systems and Smart Value Chain, 43–58. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76846-5_3.

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Abdi, M. Reza, Ashraf W. Labib, Farideh Delavari Edalat, and Alireza Abdi. "Feasibility of an RMS Design." In Integrated Reconfigurable Manufacturing Systems and Smart Value Chain, 145–65. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76846-5_7.

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Abdi, M. Reza, Ashraf W. Labib, Farideh Delavari Edalat, and Alireza Abdi. "Risks in Manufacturing Supply Chain Incorporating RMS." In Integrated Reconfigurable Manufacturing Systems and Smart Value Chain, 255–79. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76846-5_11.

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Abdi, M. Reza, Ashraf W. Labib, Farideh Delavari Edalat, and Alireza Abdi. "Product Grouping for RMS Tactical Design." In Integrated Reconfigurable Manufacturing Systems and Smart Value Chain, 97–124. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76846-5_5.

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Abdi, M. Reza, Ashraf W. Labib, Farideh Delavari Edalat, and Alireza Abdi. "RMS Capacity Utilisation Through Product Life Cycles." In Integrated Reconfigurable Manufacturing Systems and Smart Value Chain, 219–52. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76846-5_10.

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Abdi, M. Reza, Ashraf W. Labib, Farideh Delavari Edalat, and Alireza Abdi. "RMS Distinguished Characteristics Through a Design Strategy." In Integrated Reconfigurable Manufacturing Systems and Smart Value Chain, 61–95. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76846-5_4.

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Abdi, M. Reza, Ashraf W. Labib, Farideh Delavari Edalat, and Alireza Abdi. "RMS Performance Evaluation Using ANP and Holonic Structure." In Integrated Reconfigurable Manufacturing Systems and Smart Value Chain, 197–217. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76846-5_9.

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Nie, Shiqi, Sihan Huang, Guoxin Wang, and Yan Yan. "Configuration Design of Delayed Reconfigurable Manufacturing System(D-RMS)." In Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems, 63–71. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-90700-6_6.

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Kataoka, Takayuki. "A Mathematical Model Considering Multi-skilled Operators and Industrial Robots on Reconfigurable Manufacturing Cells." In Lecture Notes in Mechanical Engineering, 349–56. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-28839-5_39.

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AbstractA sustainable reconfigurable manufacturing system is one of the most important topics concerning sustainability. Basically, the reconfigurable manufacturing systems have two streams. One is the machine-intensive and the other is the labour-intensive. The machine-intensive means a cell formation problem (CFP) or a reconfigurable manufacturing system (RMS). On the other hand, the labour-intensive means a cellular manufacturing (CM) or a Cell Production System (CPS). Almost all manufacturing sites have these assembly lines separately, however, some advanced manufacturing sites have adopted both CM and CPS in order to absorb variability of demand and operators under the environment of limited multi-skilled operators. When the operators are replaced by industrial robots in the real world, they are called robotic cells and focused as an important component of the cyber-physical system in the large number of recent papers. Therefore, this paper tackles to indicate a multi-period mixed integer programming model to solve simultaneously 2-type cell systems considering multi-skilled operators and industrial robots on reconfigurable manufacturing cells sustainably. Firstly, the traditional model is redefined by new parameters. Secondly, the proposed model is solved by 2-phase optimization problems. Finally, the proposed model is compared with the traditional model by using numerical experiments.

Conference papers on the topic "Reconfigurable manufacturing systems (RMS)":

1

Kombaya, Jesus Vital, Nadia Hamani, and Lyes Kermad. "Customization Measurement in Reconfigurable Manufacturing Systems RMS." In 11th Annual International Conference on Industrial Engineering and Operations Management. Michigan, USA: IEOM Society International, 2021. http://dx.doi.org/10.46254/an11.20210450.

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Kombaya, Jesus Vital, Nadia Hamani, and Lyes Kermad. "Modeling and configuration management of Reconfigurable Manufacturing Systems RMS." In 11th Annual International Conference on Industrial Engineering and Operations Management. Michigan, USA: IEOM Society International, 2021. http://dx.doi.org/10.46254/an11.20210451.

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Tang, Li, Derek M. Yip-Hoi, Yoram Koren, and Wencai Wang. "An AI-Based Computer-Aided Reconfiguration Planning Framework for Reconfigurable Manufacturing Systems." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-60744.

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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. The A* algorithm is 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.
4

Liu, Jian, Derek M. Yip-Hoi, Wencai Wang, and Li Tang. "Optimal Part Family and Production Module Planning for Reconfigurable Manufacturing Systems." In ASME 2006 International Manufacturing Science and Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/msec2006-21070.

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Manufactures are adopting Reconfigurable Manufacturing Systems (RMS) to better cope with frequently changing market conditions, which place tremendous demands on a system’s flexibility as well as its cost-effectiveness. Considerable efforts have been devoted to the development of necessary tools for the system level design and performance improvement, resulting in approaches to designing a single RMS. In this paper, a methodology for cost-effective reconfiguration planning for multi-module-multi-product RMS’s that best reflect the market demand changes is proposed. Formulated as an optimization procedure, reconfiguration planning is defined as the best reallocation of part families to production modules in an RMS and the best rebalancing of the whole system and each individual module to achieve minimum related cost and simultaneously satisfy the market demand. A Genetic Algorithm (GA) approach is proposed to overcome the computational difficulties caused by the problem complexity. Effectiveness of the proposed methodology is demonstrated with a case study.
5

Raghunandan, Shyam, Derek Yip-Hoi, and Debasish Dutta. "Part and Workpiece Reconfigurability for Reconfigurable Machining Systems." In ASME 1998 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/imece1998-1011.

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Abstract A Reconfigurable Machining System (RMS) is a new paradigm for production systems that addresses the need for introducing greater flexibility into high production machining environments where changes in production requirements (product volumes and mixes) occur regularly. Unlike Flexible Manufacturing Systems (FMS), an RMS applies flexibility only when, where and to the extent that is needed in a machining system. Characteristics such as modularity, scalability and reusability of machining and material handling elements are needed if an RMS is to achieve this objective. The concept of part and workpiece re-configurability complement that of RMS reconfigurability. This paper presents the concept of a reconfigurable workpiece and investigates a methodology for its generation when a combination of turning and milling operations are required.
6

Arista, Rebeca, Fernando Mas, Domingo Morales-Palma, and Carpoforo Vallellano. "A Proposal for Using Models for Manufacturing (MfM) Methodology to Reconfigure Aerospace Manufacturing Systems." In 10th Manufacturing Engineering Society International Conference. Switzerland: Trans Tech Publications Ltd, 2023. http://dx.doi.org/10.4028/p-kdixd6.

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Reconfigurable Manufacturing Systems (RMS) have gained prominence in the Aerospace Industry in recent years for several reasons. These include drastic changes in production capacity due to post-COVID19 and new environmental regulations to adapt to remain competitive; however, the current RMS design has not changed. Ontology-based engineering systems (OBE) support complex collaborative design processes that involve multidisciplinary parties and various digital tools, integrating different levels of decision-making. Models for Manufacturing (MfM) is an OBE methodology that supports industrial design and decision making in manufacturing and assembly by preserving business knowledge in ontology models, the knowledge base for generating and integrating aircraft design and manufacturing systems. This paper introduces an MfM application for RMS design in the Aerospace Industry, presenting innovative design concepts that allow RMS to be implemented in a collaborative engineering process for an aerospace product.
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Spicer, J. Patrick, and Hector J. Carlo. "Simultaneous Scalable-Reconfigurable Manufacturing System Design and Inventory Control Policy Decision Making." In ASME 2006 International Manufacturing Science and Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/msec2006-21083.

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Scalable reconfigurable manufacturing systems (scalable-RMS) consist of standardized modular equipment that can be quickly added or removed to adjust the production capacity. Each modular machine, referred to as a scalable reconfigurable machine tool (scalable-RMT), is composed of identical modules that can be added to, or removed from the machine depending on its required throughput. In previous work, conceptual scalable-RMTs have been described. Additional scalable-RMTs are presented in this paper to highlight the applicability of this concept in manufacturing. As an extension to existing scalable-RMS literature, this paper incorporates multiple products in the system configuration design. Specifically, this paper proposes an integer programming based iterative algorithm for finding the minimum cost configuration of a multi-product system. It is shown that the proposed algorithm converges to the optimal solution under the majority of practical conditions. Then, a mathematical formulation to minimize the system investment and operational costs in a multi-product scalable-RMS is presented. A numerical example compares the solution obtained using the traditional approach of determining the system design and then the inventory control policy versus the proposed simultaneous approach. It is concluded that the simultaneous approach yields significant improvement over the traditional (decoupled) approach.
8

Singh, Prince Pal, Jatinder Madan, and Harwinder Singh. "Performance Metrics for Product Flow Configuration in a Reconfigurable Manufacturing System (RMS)." In ASME 2019 14th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/msec2019-2951.

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Abstract We propose a systematic approach for product flow configuration selection for reconfigurable manufacturing system (RMS) that considers ten industrially relevant most important factors. The paper first defines performance metrics for the identified factors. A composite performance metric (CPM) has been proposed, which accounts for all ten-performance metrics to assess the performance of RMS with the help of a combined score. The methodology of developing CPM applies analytical hierarchy process (AHP) approach where weightage to each of the performance metric is also considered. To showcase the usefulness and feasibility of the CPM, it has been applied in an industrial environment with the help of an industrial case study. Both the CPM and other metric scores were found to be quite useful to identify a suitable configuration out of the available alternatives.
9

Baqai, Aamer, and Arsalan Shafiq. "Dimensional Analysis of the Generated Design Solutions for Reconfigurable Manufacturing System." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-64406.

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Reconfigurable Manufacturing Systems (RMS) is the recent addition in the series of different of types manufacturing systems. Various approaches deal with generation of design solutions for such systems. In this paper two and three dimensional tolerance analysis of the generated design solutions using algorithmic approach for reconfigurable manufacturing systems is carried out. In this analysis quality is considered as the key performance indicator. Among the existing techniques and methods used for tolerance evaluation, the approach of representing the tolerances as Small Displacement Torsors (SDT) is used. The modified method of graphs is selected for representing the machining process plans among the existing methods. Heuristics for the said graphs are defined. For each geometric variation the torsors are written. 2D or 3D dimensional simulation is performed and solutions are classified according to their tolerance values. The proposed methodology has wide application in the generative approach of process plan generation for reconfigurable manufacturing systems.
10

Hill, Rodney. "Educating Children in Manufacturing and Mechanical Concepts." In ASME 2008 9th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2008. http://dx.doi.org/10.1115/esda2008-59312.

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A multilevel, multifaceted learning environment has been designed at the NSF Engineering Research Center for Reconfigurable Manufacturing Systems (ERC/RMS) to help young children (ages 5 to 10 years) understand the basic concepts of manufacturing industry and to appreciate why manufacturing is important to their lives. The design of this environment is grounded on observed interactions of children and technology, research literature on pupil’s understanding of mechanics and on the concepts of a rich learning environment. The components of this environment include stories, cartoon characters, puzzles, games, and solitary and group activities. The activities require easily available household objects and common toys. These materials are targeted for families with early-elementary and home-schooled children.

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