Reconfigurable manufacturing system: a systematic review, meta-analysis and future research directions

Pansare, Rajesh; Yadav, Gunjan; Nagare, Madhukar

doi:10.1108/jedt-05-2021-0231

Cited by 38 publications

(54 citation statements)

References 95 publications

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“…As a recommended alternative to dedicated manufacturing systems or flexible manufacturing systems, reconfigurable manufacturing systems (RMSs) are advocated to respond to sudden changes in the market or regulatory requirements using basic process modules (hardware and software) that can be recoupled quickly and reliably [18]. More broadly, besides reconfigurable machine tools, reconfigurable robots, conveyors, tooling and fixtures, and inspection machines are the underlying components and key enablers of RMSs.…”

Section: Reconfigurable Manufacturing Systemsmentioning

confidence: 99%

Digital Twin-Driven Reconfigurable Fixturing Optimization for Trimming Operation of Aircraft Skins

2022

Aerospace

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The incomplete constraint induced by multipoint reconfigurable fixturing and the inherently weak rigidity of thin shell parts significantly hinder the stability of flexible fixturing systems. In particular, during the trimming operation, the number of effective locators may change with the progressive separation of the desired shape from that of the blank part, which easily produces the cliff effect (instantaneous dramatic reduction) of the system stiffness. As a result, the location layout becomes a main crux in reality. Regarding this issue, the author herein presents a digital twin-based decision-making methodology to generate reconfigurable fixturing schemes through integrating virtual and physical information. Considering the intrinsic features of the trimming process, such as the time-varying propagation of the system stiffness and the coupling effects of multiattribute process parameters, the hidden Markov model was introduced to cope with reconfigurable fixturing optimization. To achieve fast convergence and seek a feasible solution, local information (where low system rigidity occurs) was extracted and shared to guide the optimization process in a front-running simulation. To demonstrate the presented method, trimming experiments were performed on a large-size compliant workpiece held by a reconfigurable fixturing system that was developed independently by our research group. The experimental results indicate that the proposed method could adaptively iterate out the optimal locating schema and process control reference from the virtual fixturing and trimming simulation to guarantee the time-varying stability of the trimming process in the real world. Clearly, the digital twin-based reconfigurable fixturing planning approach generated a high possibility of building a context-specific, closed-loop decision-making paradigm and allowing the reconfigurable fixturing system to behave in a more adaptable and flexible manner.

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Section: Reconfigurable Manufacturing Systemsmentioning

confidence: 99%

Digital Twin-Driven Reconfigurable Fixturing Optimization for Trimming Operation of Aircraft Skins

2022

Aerospace

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“…Notwithstanding the obvious need and urgency to transform manufacturing as we know it, there is no consensus around a fitting nomenclature for a factory that can serve as a replacement for the traditional factory. In recent years, different manufacturing paradigms have emerged, including (but not limited to) manufacturing concepts such as the Reconfigurable Manufacturing System (RMS) [ 86 , 87 , 88 , 89 , 90 , 91 , 92 ], Flexible Manufacturing System (FMS) [ 93 , 94 , 95 , 96 , 97 , 98 , 99 , 100 ], distributed manufacturing [ 101 , 102 , 103 , 104 ], and cloud manufacturing [ 105 , 106 , 107 , 108 , 109 , 110 ]. In addition, terms such as smart factory [ 111 , 112 , 113 , 114 , 115 , 116 ], intelligent factory [ 77 , 113 , 117 , 118 , 119 , 120 , 121 , 121 ], and digital factory [ 122 , 123 , 124 , 125 , 126 ] represent emergent paradigms that seek to fulfill this need.…”

Section: Understanding the Future Factorymentioning

confidence: 99%

A Primer on the Factories of the Future

Anumbe

Saidy

Harik

2022

Sensors

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In a dynamic and rapidly changing world, customers’ often conflicting demands have continued to evolve, outstripping the ability of the traditional factory to address modern-day production challenges. To fix these challenges, several manufacturing paradigms have been proposed. Some of these have monikers such as the smart factory, intelligent factory, digital factory, and cloud-based factory. Due to a lack of consensus on general nomenclature, the term Factory of the Future (or Future Factory) has been used in this paper as a collective euphemism for these paradigms. The Factory of the Future constitutes a creative convergence of multiple technologies, techniques, and capabilities that represent a significant change in current production capabilities, models, and practices. Using the semi-narrative research methodology in concert with the snowballing approach, the authors reviewed the open literature to understand the organizing principles behind the most common smart manufacturing paradigms with a view to developing a creative reference that articulates their shared characteristics and features under a collective lingua franca, viz., Factory of the Future. Serving as a review article and a reference monograph, the paper details the meanings, characteristics, technological framework, and applications of the modern factory and its various connotations. Amongst other objectives, it characterizes the next-generation factory and provides an overview of reference architectures/models that guide their structured development and deployment. Three advanced communication technologies capable of advancing the goals of the Factory of the Future and rapidly scaling advancements in the field are discussed. It was established that next-generation factories would be data rich environments. The realization of their ultimate value would depend on the ability of stakeholders to develop the appropriate infrastructure to extract, store, and process data to support decision making and process optimization.

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“…Several researchers of the RMS domain have conducted their research addressing various issues, such as configuration design (Florent Frizon de Lamotte, 2007;Youssef and Elmaraghy, 2008), optimization (Abbasi and Houshmand, 2011;Battaı €a et al, 2020) and scalability (Hasan et al, 2016). Along with this, many researchers have also conducted a systematic literature review for published research articles in the RMS domain (Bortolini et al, 2018;Koren et al, 2017;Pansare et al, 2021;Singh et al, 2017). These researchers' research has taken the concept to a higher level, increased adoption and improved RMS performance.…”

Section: Background Of Rmsmentioning

confidence: 99%

“…However, RMS can rapidly cost-effectively adjust production capacity and functionality, allowing frequent changes in product demand to be absorbed (Ga spar et al, 2020;Kumar et al, 2019). RMS can reconfigure the hardware and manage resources at both the technical and operational levels to quickly adapt manufacturing capability and configuration in response to unexpected shifts in demand or regulatory requirements (Bi et al, 2008;Garbie, 2014;Maganha et al, 2020;Pansare et al, 2021). In RMS, reconfiguration refers to changes made to aspects such as machine settings, scheduling and layout configuration.…”

Section: Introduction 11 Study Motivationmentioning

confidence: 99%

Reconfigurable manufacturing system: a systematic bibliometric analysis and future research agenda

Pansare¹,

Yadav²,

Nagare³

2021

JMTM

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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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Reconfigurable manufacturing system: a systematic review, meta-analysis and future research directions

Cited by 38 publications

References 95 publications

Digital Twin-Driven Reconfigurable Fixturing Optimization for Trimming Operation of Aircraft Skins

Digital Twin-Driven Reconfigurable Fixturing Optimization for Trimming Operation of Aircraft Skins

A Primer on the Factories of the Future

Reconfigurable manufacturing system: a systematic bibliometric analysis and future research agenda

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