Manufacturing excellence is critical to our nation’s economy. Indian Government’s National Manufacturing Policy, drafted in 2011, is being revamped to include the aspects of Industry 4.0. Initiatives, both led and assisted by government and industries, are being launched to catalyze and transform India’s manufacturing competencies. This paper aims to study the functional areas which can potentially leverage Industry 4.0 technologies and help India’s manufacturing establishments to transform. It does so in context of the aspirations of India’s small and medium discrete manufacturing establishments (SMME) towards adopting digital technologies for the identified functional areas. The study draws its context from the relevant literature review intended to examine the academic articles published until the end of September 2018, followed by a maturity assessment survey of Indian SMMEs to establish priority areas,The literature survey has been complemented with a maturity survey of more than 250 of Indian SMMEs to establish adoption gaps by comparing proficiency and sophistication of their present status and proposed adoption aspirations by 2020. The assessment of the organizational aspirations and gap areas identified is expected to indicate which of the Industry 4.0 elements can be adopted by them.,The maturity survey undertaken throws up several insights – Indian SMME community’s self-assessment indicates operational measurements followed by manufacturing and design interventions as the aspired transformation cycle. The survey indicates that manufacturers would like to make changes to their design and manufacturing strategies based on performance metrics; therefore, they need to first capture real-time machine data, analyze and then incorporate the resulting improvements in manufacturing and design decisions in that order.,The maturity assessment method itself is in evolution stage, and future correlations with benefits will strengthen observations. Industry 4.0 being relatively new initiative for India, availability of country-specific academic literature is limited. The maturity assessment survey undertaken across organizations of North, West and South India therefore carries the risk of not reflecting the views of a wider population. The current maturity, or the lack of it, of proficiency and readiness of India’s SMMEs with respect to digital technologies may also be a barrier to self-examine.,This research is expected to provide insight into priorities to be adopted for digital-centric transformation by Indian SMMEs. It is expected to facilitate policymakers and influencers from government and industry to help frame policies that facilitate the adoption of digital technologies by Indian SMMEs and facilitate India’s technical education community to adopt skill development programs to support industry. It is expected to provide guidance to India’s academic institutions to rejig their curriculums to help bridge the critical skills gap that exists between newly inducted engineering professionals and industry.,Digitalization is expected to foster lean and therefore support sustainability initiatives. Digitalization is expected to help create new, alternative sources of employment which are more relevant to emerging times and foster unlearning the past and relearning of new skills. This emerging diversity of engineering applications resulting from digitalization is expected to also support the larger and poorer agricultural community of India and help the sector to become more efficient and productive, which in turn will reduce economic alienation of a large section of Indian society.,Industry 4.0 has been identified as the transformational initiative for India’s manufacturing competitiveness. Indian manufacturing sector needs to urgently implement the digital technologies and improve their performance and remain relevant in this dynamic market. This research will help guide them to frame their respective digital strategies and be successful. This research will help government and industry influencers to plan and execute their interventions.

Digital transformation priorities of India’s discrete manufacturing SMEs – a conceptual study in perspective of Industry 4.0

Digitalization is an opportunity for manufacturing SMEs to transform, not only for the flexibility and agility, but also for improved responsiveness in meeting customer requirements. Quality, being an integral part of customer-orientation, needs to be at the forefront of transformation under digitalization. Also, the digitalization is the need of the hour for continuous improvement to avoid disparity between paper-based quality practices and the digitalized engineering value chain. In this research article, authors intend to address the digitalization priorities of quality practices for Small and Medium Enterprises (SMEs) in perspective of adoption of Industry 4.0 technologies. From the literature survey, authors observed that, there is extensive literature available regarding quality and its relevance for continuous improvement, while research insights regarding integration of quality practices in a digital environment are limited and even if considered, they have not been studied holistically. Authors have examined the available research to assimilate the effect of current market trends on quality practices. They have undertaken a survey of prevailing quality maturity in manufacturing SMEs. In current study, authors have understood the need of digitalization of quality processes and propose the priority digital approaches that can guide SMEs with a holistic view of transformation including quality. The key findings based on proposed approaches for adopting digital quality processes are: Firstly, to address the challenges of shorter time-to-market, increased complexity, flexibility and innovation, SMEs need to adopt digitalization across the PDCA quality cycle. Secondly, digitalization of quality practices needs to be considered holistically across value chain. Thirdly, five processes have been prioritized for digitalization based on their adoption maturity i.e. design for quality, compliance, incoming & outgoing goods control, statistical process control and complaint management. Based on finding of this study authors recommend that manufacturing SMEs take cognizance of these findings and adopt digital quality to successfully thrive in the emerging global market.

Digitalization priorities of quality control processes for SMEs: a conceptual study in perspective of Industry 4.0 adoption

Manufacturing systems of the future highly demand that the product data are built into the product model, and smooth data transfer to other computer-aided technologies are enabled. Depending on the type of the manufacturing system, it is envisaged that virtual engineering (VE) technologies play a significant role in integrating the computer-based technologies involved in the product’s life cycle. Simulations in a virtual world and exchange of real time product or design data are among the benefits for today’s global oriented manufacturing business. To highlight the significance of design as carrier of product data and the key role played by VE technologies to inter-link design, manufacturing and associated components, this paper presents an overview and analysis of the state-of-the-art VE technologies to indicate potential applications and future research directions.

/pdf/virtual-engineering-in-design-and-manufacturing-4phljlco8b.pdf

Virtual engineering in design and manufacturing

The design of new innovative products is the result of an accurate and precise management of knowledge sources all over its life cycle, such as technology, market, competitors and suppliers. The work contributes with a framework that shows how the knowledge sources influence in the state-of-the-art and market needs so that they become opportunities for innovating products addressing the whole product life cycle. It provides a systematic path from the early generation of ideas to the production of a new product proposal. Through a deep analysis of previous research works of new product innovation life cycle development frameworks and linking it with knowledge management, strategic planning and scorecards, we came out with a structured contribution. The result considers the concurrent activities and its relationships all the way through the product life cycle that can help in creativity and innovation, combined with a process management proposal. Managing the sources of knowledge in highly dynamic markets a...

An approach to conceptual and embodiment design within a new product development lifecycle framework

Stakeholders in specific disciplines, departments, companies and at different locations within the automotive production process save their results in different data management systems. Project management is currently done separately and does not interact with engineering objects. Our work aims on providing flexible data insights on collaboration tasks between participants within the product lifecycle. We applied semantic technologies RDF, OWL and SPARQL with a specific domain related ontology PROTARES (PROject TAsks RESources) to interlink, describe and query domain knowledge about the product. As proof of concept a software prototype is introduced, which resides on the domain ontology and allows knowledge based browsing and visualisation of specific aspects within the production process. With this example we want to demonstrate, how semantically driven customized views can support monitoring and reflection of engineering tasks and decision making within the early phases of the automotive product lifecycle.

Semantically based visual tracking of engineering tasks in automotive product lifecycle

Today, product development is characterized by cross-company collaboration and an intensive exchange of product data. Engineers typically apply a multitude of digital engineering tools and act in diverse engineering processes. In a current study, the “culture” of today’s collaborative product development was investigated in significant detail. The questions are: How do engineers work today? Which tasks play a major role in their daily business? How much time is remaining for core engineering tasks like design, calculation and design validation? How do engineers assess their workplace (environment)? Where are opportunities for enhancement of processes and digital engineering tools? In total, 1,401 engineers answered the questionnaires. Details of the study and selected findings are presented in this paper. Interesting findings are related to collaborative engineering and engineering design, Product Data and Lifecycle Management (PDM/PLM), virtual product creation, information and process management, and new media in engineering design.

/pdf/study-on-collaborative-product-development-and-digital-362zubyg2b.pdf

Study on Collaborative Product Development and Digital Engineering Tools

Kollaboration und digitale werkzeuge in der entwicklung

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Study on Collaborative Product Development and Digital Engineering Tools

Kollaboration und digitale werkzeuge in der entwicklung