Enhancing Product Manufacturing through Smart Virtual Product Development (SVPD) for Industry 4.0

Ahmed, Muhammad Bilal; Majeed, Farhat; Sanín, Cesar; Szczerbicki, Edward

doi:10.1080/01969722.2019.1705544

Cited by 8 publications

(6 citation statements)

References 12 publications

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“…such as big data, blockchain and the IoT to create effective lean manufacturing systems. In continuation, Ahmed et al (2020) mentioned that the use of Industry 4.0 attributes such as cyber-physical systems enables the control of various physical entities and contributes to increased productivity, sustainability and agility. Furthermore, P erez-Lara et al (2020) stated that the IoT will strengthen supplier assessment and add value to smart manufacturing.…”

Section: R E T R a C T E Dmentioning

confidence: 99%

“…Bag et al (2021) investigated the impact of Industry 4.0 technology adoption on 10R advanced manufacturing capabilities and concluded a positive impact for sustainable product development, whereas Gunasekaran et al (2019) identified various SLSS practices, providing recommendations for the implementation and potential of emerging technologies Zheng et al (2021) such as big data, blockchain and the IoT to create effective lean manufacturing systems. In continuation, Ahmed et al (2020) mentioned that the use of Industry 4.0 attributes such as cyber-physical systems enables the control of various physical entities and contributes to increased productivity, sustainability and agility. Furthermore, P erez-Lara et al (2020) stated that the IoT will strengthen supplier assessment and add value to smart manufacturing.…”

Section: Industry 40 and Sustainable Lean Six Sigma Practicesmentioning

confidence: 99%

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An integrated Industry 4.0-Sustainable Lean Six Sigma framework to improve supply chain performance: a decision support study from COVID-19 lessons

Rana

Jani²

2023

JGOSS

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Purpose The COVID-19 pandemic era has severely hampered the economy over the globe. However, the manufacturing organizations across all the countries have struggled heavily, as they were among the least who worked on online mode. The organizations are adopting various innovative quality methodologies to improve their performance. In this regard, they are adopting the Sustainable Lean Six Sigma (SLSS) concept and Industry 4.0 technologies to develop products at a faster rate. The use of Industry 4.0 technologies may reduce material movement and supply chain disruptions with the help of smart intelligent systems. There is a strong synergy between SLSS and Industry 4.0 technologies, resulting in an integrated approach for adoption. This study aims to develop a framework that practitioners can use to adopt Industry 4.0-SLSS practices effectively. Design/methodology/approach This study portrays 31 Industry 4.0-SLSS practices and 22 performance metrics identified through a literature review to improve the manufacturing supply chain performance. To compute the weights of these practices, the Robust Best–Worst Method (RBWM) is used. The Pythagorean fuzzy combined compromise solution (PF-CoCoSo) method is used to rank performance metrics. Findings According to the RBWM results, “Process Development Practices (PDP)” are first among the major criteria, followed by “Organizational Management Practices (OMP)” at second, “Technology Adoption Practices (TAP)” at third, “Strategy Management Practices (SMP)” at fourth and “Executive Management Practices (EMP)” at fifth, whereas the PF-CoCoSo method resulted in the performance metric “On time product delivery” ranking first. Research limitations/implications The identified practices have the potential to significantly improve the performance of the manufacturing supply chain. Practices that encourage a sustainable manufacturing supply chain and the usage of emerging technology will benefit organizational effectiveness. Managers can assess performance using prioritized performance metrics. Originality/value During the COVID-19 pandemic era, this is one of the unique attempts to provide a framework to improve the manufacturing supply chain performance. This study integrates and identifies Industry 4.0-SLSS practices and performance metrics for enhancing overall performance.

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Section: R E T R a C T E Dmentioning

confidence: 99%

Section: Industry 40 and Sustainable Lean Six Sigma Practicesmentioning

confidence: 99%

An integrated Industry 4.0-Sustainable Lean Six Sigma framework to improve supply chain performance: a decision support study from COVID-19 lessons

Rana

Jani²

2023

JGOSS

View full text Add to dashboard Cite

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“…Industry 4.0 delivers this function by increasing the efficiency of project and resource management operations and streamlining real‐time interfirm and intrafirm NPD collaboration and information sharing (Wijewardhana et al, 2020). Secondly, additive manufacturing, augmented and virtual reality, and HPC‐CAD increase the productivity of NPD efforts and allow the prototyping of the most complex eco‐friendly products in a timely and economical manner (Ahmed et al, 2020). In particular, the digital twinning of design concepts allows designers to virtually identify new product shortfalls and performance flaws, which enables more radical yet cheaper and faster product innovation (Tao, Zhang, et al, 2018).…”

Section: Industry 40 Function For Sustainable Innovationmentioning

confidence: 99%

Industry 4.0, innovation, and sustainable development: A systematic review and a roadmap to sustainable innovation

et al. 2021

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Despite the recent interest in the Industry 4.0 applications for sustainability, little is known on the processes through which digital transformation and Industry 4.0 technologies enable sustainable innovation in manufacturing. The present study addresses this knowledge gap by developing a strategic roadmap that explains how businesses can leverage Industry 4.0 technologies to introduce sustainability into innovative practices. For this purpose, the study conducts a systematic review of extant literature to identify Industry 4.0 functions for sustainable innovation and applies interpretive structural modeling to devise the promised roadmap. The results offer interesting insights into Industry 4.0 applications for sustainable innovation.The strategic roadmap developed reveals that Industry 4.0 enables sustainable innovation through 11 functions. Industry 4.0 and the underlying digital technologies and principles allow businesses to improve interfunctional collaboration and better integrate with internal and external stakeholders. Industry 4.0 further improves the knowledge base and advanced manufacturing competency and promotes organizational capabilities valuable to sustainable innovation such as green absorptive capacity, sustainable partnership, and sustainable innovation orientation. Through these functions, Industry 4.0 subsequently enhances green process innovation capacity and the ability to develop or reintroduce eco-friendly products economically and competitively. Overall, the roadmap explains the complex precedence relationships among the 11 sustainable innovation functions of Industry 4.0, offering important implications for businesses that seek to leverage Industry 4.0 sustainability implications and manage sustainable development.

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“…Many authors have recognized the importance of cloud-based systems and virtual product development where Ahmed et al developed the smart virtual product development (SVPD) system, which comprises three main models (design, knowledge and management), manufacturing capability analysis and process planning and product inspection planning [39]; Rodriguez et al presented a methodology that connects process planning with an intelligent decision support system with implemented fuzzy logic and machine learning techniques [40]; Subramaian et al developed a prediction-optimization framework for site-wide process optimization [41]; Milosevic et al developed a cloud-based process planning system, which integrates knowledge sources with a production process using heuristic knowledge for optimizing process plans and selecting the best solutions [42].…”

Section: Computer-based Process Planning Toolsmentioning

confidence: 99%

Process Planning in Industry 4.0—Current State, Potential and Management of Transformation

et al. 2020

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The implementation of the Industry 4.0 concept enables the flexibility, modularity and self-optimization of the manufacturing process. Process planning, placed in the value chain between construction and physical manufacturing, therefore, also demands digital transformation, while management of the transformation towards the new digital framework represents one of the most demanding challenges. Continuing the research on its structure and role within the smart factory, the main motivation for this work was to recognize the potential of the digital transformation of process planning elements, and to define the key dimensions that are essential for the readiness factor calculation and later transformational strategy formation, but also to recognize the current level of awareness of the Industry 4.0 concept among the process planners, along with the current use of its elements and key priorities for the transformation. The research has therefore been conducted in 34 Croatian metal machining companies, within which the influence of company size, level of education and familiarity with Industry 4.0 on final results and the stage of development have been investigated. The results have shown that the company size has a significant influence on the development stage and the use of certain elements wherein small and medium enterprises (SMEs) have already implemented certain digital elements, while they also tend to have a better fundamental infrastructure when using complex process planning methods, unlike others, which are still highly traditional. Organization and human resources have been ranked with the highest priority for change, while target goals for hardware and software have been set, with the managerial challenges of transformation defined and discussed.

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Enhancing Product Manufacturing through Smart Virtual Product Development (SVPD) for Industry 4.0

Cited by 8 publications

References 12 publications

An integrated Industry 4.0-Sustainable Lean Six Sigma framework to improve supply chain performance: a decision support study from COVID-19 lessons

An integrated Industry 4.0-Sustainable Lean Six Sigma framework to improve supply chain performance: a decision support study from COVID-19 lessons

Industry 4.0, innovation, and sustainable development: A systematic review and a roadmap to sustainable innovation

Process Planning in Industry 4.0—Current State, Potential and Management of Transformation

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