Repurposing production operations during COVID-19 pandemic by integrating Industry 4.0 and reconfigurable manufacturing practices: an emerging economy perspective

Pansare, Rajesh; Yadav, Gunjan

doi:10.1007/s12063-022-00310-7

Cited by 11 publications

(5 citation statements)

References 47 publications

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“…Operational issues: The government has issued the above guidelines to curb the spread of the virus without any disruption in the work, but it has impacted negatively. The government issued guidelines for the engineer controls to modify the workplace and improve the ventilation norms (Pansare & Yadav, 2022). Increase the outdoor ventilation in the air conditioners on all the floors while it was advised to switch on the system for 2 hours.…”

Section: Risks and Challenges Faced By The Indian Manufacturing Indus...mentioning

confidence: 99%

The Implications of the Covid-19 Pandemic on HRM Practices in Indian Manufacturing Industry

Sridevi,

Rajagopal

2024

Proceedings of the International Conference on Digital Transformation in Business: Navigating the New Frontiers Beyond Boundari

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The HRM department carries out Human Resource Management practices, and its crucial responsibility is to keep employees safe, healthy and satisfactory. Better and improved HRM practices help an organisation to build critical organisational capabilities, enhancing the satisfaction level of all the stakeholders. This research aims to understand the implication of the COVID-19 pandemic on the HRM practices of the manufacturing industries of India with the help of secondary data and thematic analysis. The total net worth of the Indian manufacturing industry is around 244.46 billion USD in 2023 and will rise to the mark of 365.25 billion USD as of 2028. The pharmacy manufacturing companies of India have seen a positive impact of COVID-19, while all the others have seen negative implications. It had faced some risks and challenges during the pandemic, but with the decisive steps of industries and government support, it had mitigated the impact. Now, it is ready to replace China in manufacturing.

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Section: Risks and Challenges Faced By The Indian Manufacturing Indus...mentioning

confidence: 99%

The Implications of the Covid-19 Pandemic on HRM Practices in Indian Manufacturing Industry

Sridevi,

Rajagopal

2024

Proceedings of the International Conference on Digital Transformation in Business: Navigating the New Frontiers Beyond Boundari

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“…According to Maganha et al (2018), despite several benefits of RMS implementation, significant results have yet to be proven. Furthermore, as a result of intense competition and the COVID-19 pandemic outbreak, customer needs are constantly changing, and manufacturing industries are striving to meet such dynamic needs (Pansare and Yadav, 2022).…”

Section: Research Gapsmentioning

confidence: 99%

“…In addition, the researchers attempted to incorporate sustainability into RMS and developed process plans for the same (Touzout and Benyoucef, 2019). Researchers Pansare and Yadav (2022) also attempted to identify RMS practices and advanced Industry 4.0 technologies that can assist in the repurposing of production operations in the aftermath of a pandemic and with the assistance of advanced technologies. The identification of the critical factors of RMS adoption at a glance and their relative importance, however, was not observed in the current literature.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In the case of CMS, heterogeneous machines are arranged in the form of cells (Wu et al , 2021), whereas according to Foumani et al (2020), robots can be used in cell formation, and the arrangement is generally used for material handling. The RMS is the most appropriate manufacturing system in this scenario, and its core characteristics (Customization, Diagnosability, Integrability, Scalability, Convertibility and Modularity) provide the necessary flexibility during product manufacturing while maintaining product quality (Pansare et al , 2022a; Pansare and Yadav, 2022). 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).…”

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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“…KEK et al 2022 ). In this context, flexibility is a main mean for firms to build resilience capability into their systems to survive and grow (Piprani et al 2022 ; Badhotiya et al 2022 ), specifically reconfigurability (Pansare and Yadav 2022 ).…”

Section: Introductionmentioning

confidence: 99%

Heterogeneous worker multi-functionality and efficiency in dual resource constrained manufacturing lines: an assessment by simulation

2023

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Flexibility is a main mean to create resilient supply chains. The most flexible resources are often human resources but creating high, homogenous skill levels is not cost efficient. Heterogenous labour provides an alternative. The literature on Dual Resource Constrained (DRC) shops modelled heterogeneous labour with multi-functionality and efficiency matrices that indicate if a worker can perform at a station and according to which level of efficiency. However, this literature typically considered these matrices as a given environmental factor rather than a factor under firm control. Consequently, it typically neglected literature that can be used to guide matrix design. In response, this study draws on the literature on unbalanced lines to test eight different matrices to guide worker training. Discrete event simulation is then used to evaluate their performance in a DRC pure flow shop with high variability in demand and processing times. Results demonstrate that the matrix design impacts performance and that an unbalanced design has the potential to improve performance compared to a balanced design and full multi-functionality. Specifically, the bowl configuration shows much promise, which further confirms the “bowl phenomenon”. However, performance gains are dependent on the combination of When, Where and Who rules used to guide the worker assignment decision. So, the decision on worker training is also contingent on the decision which worker assignment rule to use. Findings have important implications for research and practice, providing guidance on how to design more resilient shops and supply chains.

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Repurposing production operations during COVID-19 pandemic by integrating Industry 4.0 and reconfigurable manufacturing practices: an emerging economy perspective

Cited by 11 publications

References 47 publications

The Implications of the Covid-19 Pandemic on HRM Practices in Indian Manufacturing Industry

The Implications of the Covid-19 Pandemic on HRM Practices in Indian Manufacturing Industry

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

Heterogeneous worker multi-functionality and efficiency in dual resource constrained manufacturing lines: an assessment by simulation

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