Mapping the competencies of reconfigurable manufacturing system with the requirements of industry 4.0

Pansare, Rajesh; Yadav, Gunjan; Nagare, Madhukar; Jani, Suketu Y.

doi:10.1007/s13243-022-00116-7

Cited by 11 publications

(9 citation statements)

References 66 publications

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“…The researchers Pansare et al (2021) attempted to identify RMS implementation factors such as enablers, barriers and performance metrics. In addition, a few more researchers discussed the incorporation of cutting-edge technologies into RMS to improve performance (Morgan et al , 2021; Pansare et al , 2022b). In addition, the researchers attempted to incorporate sustainability into RMS and developed process plans for the same (Touzout and Benyoucef, 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Furthermore, the RMS is capable of incorporating and implementing advanced technologies such as cyber-physical systems (CPS), the Internet of Things (IoT) and cloud computing (CC). These advanced technologies enable RMS to manufacture high-quality products at a low cost while maintaining the necessary flexibility to meet the changing needs of its customers (Morgan et al , 2021; Pansare et al , 2022b). When compared to traditional manufacturing systems, researchers Morgan et al (2021) stated that RMS can provide the necessary scalability, flexibility and agility.…”

Section: Introductionmentioning

confidence: 99%

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Exploring the significant factors of reconfigurable manufacturing system adoption in manufacturing industries

Pansare¹,

Nagare²,

Narwane

2023

JM2

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Purpose A reconfigurable manufacturing system (RMS) can provide manufacturing flexibility, meet changing market demands and deliver high performance, among other benefits. However, adoption and performance improvement are critical activities in it. The current study aims to identify the important factors influencing RMS adoption and validate a conceptual model as well as develop a structural model for the identified factors. Design/methodology/approach An extensive review of RMS articles was conducted to identify the eight factors and 47 sub-factors that are relevant to RMS adoption and performance improvement. For these factors, a conceptual framework was developed as well as research hypotheses were framed. A questionnaire was developed, and 117 responses from national and international domain experts were collected. To validate the developed framework and test the research hypothesis, structural equation modeling was used, with software tools SPSS and AMOS. Findings The findings support six hypotheses: “advanced technologies,” “quality and safety practice,” “strategy and policy practice,” “organizational practices,” “process management practices,” and “soft computing practices.” All of the supported hypotheses have a positive impact on RMS adoption. However, the two more positive hypotheses, namely, “sustainability practices” and “human resource policies,” were not supported in the analysis, highlighting the need for greater awareness of them in the manufacturing community. Research limitations/implications The current study is limited to the 47 identified factors; however, these factors can be further explored and more sub-factors identified, which are not taken into account in this study. Practical implications Managers and practitioners can use the current work’s findings to develop effective RMS implementation strategies. The results can also be used to improve the manufacturing system’s performance and identify the source of poor performance. Originality/value This paper identifies critical RMS adoption factors and demonstrates an effective structural-based modeling method. This can be used in a variety of fields to assist policymakers and practitioners in selecting and implementing the best manufacturing system. Graphical abstract

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Exploring the significant factors of reconfigurable manufacturing system adoption in manufacturing industries

Pansare¹,

Nagare²,

Narwane

2023

JM2

View full text Add to dashboard Cite

show abstract

“…The second position was secured for the implementation of quality 4.0 practices for continuous quality improvement. The researchers Pansare et al (2022b) discussed the importance of resource optimization and execution of 10R approaches in manufacturing; thus, the third position was for resource optimization, followed by execution of 10R approaches. The findings emphasize the significance of sustainable manufacturing practices.…”

Section: Initial Decision Matrixmentioning

confidence: 99%

“…Furthermore, because of its enabling core characteristics (modularity, integrability, customization, convertibility, diagnosability and scalability), the reconfigurable manufacturing system (RMS) is capable of meeting such dynamic customer needs. RMS can quickly adjust its capacity and functionality to meet market demands by changing its software programs or adjusting the hardware components (Pansare et al, 2021(Pansare et al, , 2022b. Furthermore, there are operational excellence (OPEX) strategies that aim at consistent and reliable business strategy execution through long-term organizational culture planning (Luz Tortorella et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…RMS can quickly adjust its capacity and functionality to meet market demands by changing its software programs or adjusting the hardware components (Pansare et al. , 2021, 2022b). Furthermore, there are operational excellence (OPEX) strategies that aim at consistent and reliable business strategy execution through long-term organizational culture planning (Luz Tortorella et al.…”

Section: Introductionmentioning

confidence: 99%

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Integrating operational excellence strategies with Industry 4.0 technologies through reconfigurable manufacturing system practices

Pansare¹,

Yadav²,

Nagare³

2022

TQM

Self Cite

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PurposeBecause of the COVID-19 pandemic and changing market demands, competition for manufacturing industries is increasing and they face numerous challenges. In such a case, it is necessary to use multiple strategies, technologies and practices to improve organizational performance and, as a result, to integrate them for ease of adoption. The purpose of this research is to identify advanced Industry 4.0 technologies, operational excellence (OPEX) strategies and reconfigurable manufacturing system (RMS) practices. The study also computes their weights, as well as identifies and prioritizes the performance metrics for the same.Design/methodology/approachA thorough review of relevant articles was conducted to identify 28 OPEX strategies, RMS practices and advanced technologies, as well as the 17-performance metrics. The stepwise weight assessment ratio analysis approach was used to compute the weights of the selected practices, while the WASPAS approach was used to prioritize the performance metrics. While developing the framework, the industry expert’s expertise was incorporated in the form of their opinions for pairwise comparison.FindingsAccording to the study findings, advanced Industry 4.0 technologies were the most prominent for improving organizational performance. As a result, integrating Industry 4.0 technologies with OPEX strategies can assist in improving the performance of manufacturing organizations. The prioritized performance metrics resulted in the production lead time ranking first and the use of advanced technologies ranking second. This emphasizes the significance of meeting dynamic customer needs on time while also improving quality with the help of advanced technologies.Practical implicationsThe developed framework can help practitioners integrate OPEX strategies and advanced technologies into their organizations by adopting them in order of importance. Furthermore, the ranked performance metrics can assist managers and practitioners in evaluating the manufacturing system and, as a result, strategic planning for improvement.Originality/valueAccording to the authors, this is a novel approach for integrating OPEX strategies with advanced Industry 4.0 technologies, and no comparable study has been found in the current literature.

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A framework for flexible and reconfigurable vision inspection systems

Lupi,

Biancalana,

Rossi

et al. 2023

Int J Adv Manuf Technol

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Reconfiguration activities remain a significant challenge for automated Vision Inspection Systems (VIS), which are characterized by hardware rigidity and time-consuming software programming tasks. This work contributes to overcoming the current gap in VIS reconfigurability by proposing a novel framework based on the design of Flexible Vision Inspection Systems (FVIS), enabling a Reconfiguration Support System (RSS). FVIS is achieved using reprogrammable hardware components that allow for easy setup based on software commands. The RSS facilitates offline software programming by extracting parameters from real images, Computer-Aided Design (CAD) data, and rendered images using Automatic Feature Recognition (AFR). The RSS offers a user-friendly interface that guides non-expert users through the reconfiguration process for new part types, eliminating the need for low-level coding. The proposed framework has been practically validated during a 4-year collaboration with a global leading automotive half shaft manufacturer. A fully automated FVIS and the related RSS have been designed following the proposed framework and are currently implemented in 7 plants of GKN global automotive supplier, checking 60 defect types on thousands of parts per day, covering more than 200 individual part types and 12 part families.

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Mapping the competencies of reconfigurable manufacturing system with the requirements of industry 4.0

Cited by 11 publications

References 66 publications

Exploring the significant factors of reconfigurable manufacturing system adoption in manufacturing industries

Exploring the significant factors of reconfigurable manufacturing system adoption in manufacturing industries

Integrating operational excellence strategies with Industry 4.0 technologies through reconfigurable manufacturing system practices

A framework for flexible and reconfigurable vision inspection systems

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