Categories
InterAct Blog

Manufacturing a better future – exploring disability inclusive digital manufacturing

In 2021 Make UK1 outlined the need for manufacturing to attract skilled workers from all sections of society acknowledging the continuing challenges of the lack of diversity in the workforce. However, the current focus in manufacturing policy and practice on equality and diversity has been limited to gender and ethnic diversity. Although almost a quarter (23%) of the UK working age population are disabled2, the industry has lacked a real interest in the inclusion of disabled people.

The employment gap between disabled and non-disabled people has also remained consistently high at around 30% for the past 10 years, with a pay gap of almost 20% lower for disabled workers compared with non-disabled workers3. Moreover, in the UK, 32% of disabled people do not have basic digital skills4 and those with multiple disabilities are the most digitally disadvantaged. They often face barriers in basic access to the technology such as connection to Wi-Fi-network or finding and opening applications on their devices.

This inaccessibility of technology, together with rapidly growing digital capabilities, is exacerbating the digital divide between disabled and non-disabled people. There is also a strong business case to include more disabled people into work for innovation through diverse workforce. We know that diversity and inclusion have positive effect on firms’ productivity, innovativeness or quality5, so why has this been largely ignored by manufacturers?

Recent research6,7 found that efforts to improve the suitability of industrial manufacturing workstations or the use of Industry 4.0 technologies for disabled people have still been superficial, favouring the inclusion of workers with milder disabilities and missing the complex interaction between the socio-technical aspects of inclusion. Our research explores how digital technologies, alongside an inclusive managerial mindset and accessible business practices, can create inclusive digitalisation in manufacturing.

Our project, ‘Manufacturing a Better Future – exploring disability inclusive digital manufacturing’, embodies the principles of socio-technical systems view where the benefits of the new technology are optimised alongside the humanisation of work, by looking into how the technological and social aspects interact and emerge together. This approach is closely in line with the social model of disability8. Based on this view, it is often the social barriers such as inaccessible physical environments, the attitudes (prejudice and discrimination) and the inflexibility of organisational procedures and practices that exclude disabled people from work, rather than medical conditions.

At the end of this project, we propose that we will have a greater understanding of how the digital inclusion divide, as well as the disability employment gap, can be narrowed through the inclusion of disabled people into the manufacturing ecosystem.


References
  1. Make UK (2021) UK manufacturing diversity & inclusion guide https://ktn-uk.org/wp-content/uploads/2021/11/KTN_Made-Smarter_UK-Manufacturing-Diversity-and-Inclusion-Guide.pdf?=MadeSmarterUK
  2. Scope (2022) https://www.scope.org.uk/media/disability-facts-figures/
  3. Together Trust (2023) https://www.togethertrust.org.uk/news/explaining-disability-employment-gap
  4. Lloyds (2021) Essential Digital Skills Report 2021, https://www.lloydsbank.com/assets/media/pdfs/banking_with_us/whats-happening/210923-lb-essential-digital-skills-2021-report.pdf
  5. Chaudhry, I. S., Paquibut, R. Y., & Tunio, M. N. (2021). Do workforce diversity, inclusion practices, & organizational characteristics contribute to organizational innovation? Evidence from the UAE. Cogent Business & Management, 8(1), 1947549.
  6. Teixeira, E. S., & Okimoto, M. L. L. (2018). Industrial Manufacturing Workstations Suitability for People with Disabilities: The Perception of Workers. In Advances in Ergonomics in Design: Proceedings of the AHFE 2017 International Conference on Ergonomics in Design, July 17− 21, 2017, The Westin Bonaventure Hotel, Los Angeles, California, USA 8 (pp. 488-497). Springer International Publishing.
  7. Mark, B. G., Hofmayer, S., Rauch, E., & Matt, D. T. (2019). Inclusion of workers with disabilities in production 4.0: Legal foundations in Europe and potentials through worker assistance systems. Sustainability, 11(21), 5978.
  8. Oliver, M. (2013). The social model of disability: Thirty years on. Disability & society, 28(7), 1024-1026.
Categories
Productivity Resilience Resources

From supply chains towards manufacturing ecosystems: A system dynamics model

Research overview

Rapid market changes call for demand-driven collaborations in manufacturing, which trigger supply chain evolution to more distributed supply structures.

This paper explores the system dynamics of the largest European aerospace manufacturer’s supply chain. The authors conceptualise a manufacturing ecosystem by observing the impacts of supplier development, digital platforms, smart contracting, and Industry 4.0 on demand-driven collaborations in time.

The research team offers further contributions to the literature on ecosystem strategy, particularly for regulated industries, by disclosing the role of demand-driven collaborations in supporting the ecosystems’ growth. This paper also provides manufacturing firms with an open-access tool to exemplify their ecosystem development and produce initial training datasets for AI/ML algorithms, supporting further analytics.

This research was conducted by Dr. Nikolai Kazantsev (IfM, University of Cambridge), Oleksii Petrovskyi (National University of Kyiv-Mohyla Academy), Professor Julian M. Müller (Seeburg Castle University, Austria and Erfurt University of Applied Sciences, Germany). This work was supported by the UKRI Made Smarter Innovation Challenge and the Economic and Social Research Council via InterAct [Grant Reference ES/W007231/1].

For further discussions or potential applications/collaborations, please contact Nikolai Kazantsev.

https://doi.org/10.1016/j.techfore.2023.122917

Categories
Productivity Resilience Resources

Insights from history: What can the past teach us about technological transformation?

Watch a short introductory video from the research team behind the ‘Insights from History’ project.

Research overview

The transition to sustainability coincides with an industrial digitalization. While this latest industrial revolution creates new challenges, it also revives historical ones encountered in previous transitions. Through two parallel systematic reviews, challenges are identified for the current digitalization transition and historical transitions: mechanization, electrification and computerization.

The aim of this research is to identify lessons from history that may help overcome the challenges of industrial digitalization. The paper provides illustrative examples of social factors that are either internal to a technology adopting organization or external, related to wider societal change. These factors suggest actionable insights that may support the adoption of Industrial Digital Technologies. The following videos and report introduce the project in more detail and provide a full accounting of their findings.

This research was conducted by Dr. Ahmad Beltagui, Dr. Brian Sudlow (Aston University) Dr. Miying Yang, Glen Jonata (Cranfield University), and Qinglan Liu (Exeter University). This work was supported by the UKRI Made Smarter Innovation Challenge and the Economic and Social Research Council via InterAct [Grant Reference ES/W007231/1].

For further discussion or questions about this project, please contact Ahmad Beltagui.

Watch an animated explainer about the impact of technological change on the mining industry.
Listen to the story of Edmund Cartwright, 18/19th century inventor, and what it can teach us about the challenges facing innovators.
Learn about the potential of small business cooperation through the case of arms manufacturers in 19th century Birmingham.
Categories
Productivity Resilience Resources

Advancing the business case for digital technology adoption in the UK manufacturing industry

Watch a short animated explainer about developing business cases for digitalisation

Research overview

The competitiveness of industry in the UK is dependent on the rapidly growing digitalisation of manufacturers. Digitalisation provides the opportunity to drive the efficiency and innovativeness of manufacturers, and forms the basis for creating new business models. Yet, manufacturers are lagging in their investments into digitalisation and risk missing out on capturing the opportunities digitalisation offers. The below report, guide and video outline the specific challenges the manufacturing industry faces when making effective investments into digitalisation and identifies the key questions they should address to overcome them.

This research was conducted by Dr. Andreas Schroeder, Dr. Yang Zhao and Dr. Daniel Andrews (Aston University). This work was supported by the UKRI Made Smarter Innovation Challenge and the Economic and Social Research Council via InterAct [Grant Reference ES/W007231/1].

For further discussions or potential applications/collaborations, please contact Andreas Schroeder.

Categories
InterAct Blog

How do we create manufacturing ecosystems from supply chains?

Introduction

The term ‘ecosystem’ is derived from biology, capturing a system of entities interacting and depending on each other and reacting to outside challenges and requirements. Business ecosystems represent the intense relationships between interlinked multilateral, complementary actors or partners interacting for value creation (Adner, 2017; Hannah and Eisenhardt, 2018).

We define a manufacturing ecosystem as a subclass of business ecosystems where supply chain firms arrange demand-driven collaboration in all directions (e.g., with partners, buyers, and even customers), thus competing with large Tier-1 firms for direct manufacturing orders, gaining these orders, fulfilling them and capturing profits. This changes the topology of a hierarchical supply chain into a distributed manufacturing ecosystem, where Tier-1s do not arrange subcontracting of the awarded orders.

In the conventional supply chains, Small- and medium-sized enterprises (SMEs) represent most suppliers worldwide, accounting for 70% of jobs and generating up to 60% of value added (OECD, 2017). For example, the aerospace supply chain starts with the OEM, which places orders in a ‘Calls for Tenders’ (CfTs), organizes tendering processes (often leading to Tier-1s) and awards orders to the team that best matches the requirements. In this industry, SMEs can potentially provide components and services at multiple supply chain levels, but they often miss the scale, scope, standardization or technologies to play a more active role in tendering (Müller et al., 2018). Also, SMEs have reduced ability to act as suppliers due to powerful Tier-1 companies (Schirrmann & Drat, 2018). 

However, what if demand-driven collaborations between SMEs are supported?

We simulate the application of Industry 4.0, Digital platforms, Smart contracts, and Supplier development programs (Kazantsev et al., 2022) and explore the growth of the manufacturing ecosystem from a conventional supply chain. We used system dynamics to simulate these changes and provide insights for manufacturing firms and policymakers about the desired level of support (Sterman, 2000; Akkermans and Wasserhove, 2018). 

An interactive dashboard has been developed that allows the testing of ecosystem development:

Findings

1. Supplier development and digital platforms make marketplaces more transparent so that SMEs can see more calls for tenders

Supplier development programmes and digital platforms are needed to help SMEs identify more calls for tenders and potential partners for collaboration.

2. The collaboration experience and smart contracts reduce uncertainty levels and enable SMEs to submit more collaborative tenders

Participating in tendering would also enable SMEs to learn how to fulfil orders; therefore, allowing some quotas is helpful. The more firms collaborate on tenders, the lower the level of uncertainty in the market. New technologies, such as smart contracting, indirectly increase the number of submitted tenders and further support the development of a trustworthy business environment.

3. Technological support for contracting and coordination reduces the order execution queue and supports the growth of a manufacturing ecosystem 

Insufficient contracting and coordination reduces order fulfilment efficiency and calls for digitalization  (Kazantsev et al., 2023). Adopting smart contracting and Industry 4.0 increases the ability of SME collaboration to execute the awarded orders in time. Specifically, if we double investments into smart contracting and Industry 4.0 every year, the number of delayed orders grows until the 5th year but then starts falling. In the 6th year, 48 calls for tenders will be available (with a 15 % quota), seven orders out of which will be fulfilled the same year, and six orders from the previous year’s queue. In this case, the order execution rate reaches a plateau – executing all awarded orders. Year 5 is a breakeven point when order execution rate, delayed, and executed orders intersect.

Study implications 

Demand-driven collaborations play a critical role in unfolding manufacturing ecosystems. In the early stages of such transitions, investments in collaboration enablers are critical to support ecosystem growth. Thus, we recommend:

  • investing in supplier development and digital platforms as early as possible
  • enabling quotas for SMEs in tendering   
  • increasing digitalization of contracting and coordination to support the efficiency of demand-driven collaborations

https://doi.org/10.1016/j.techfore.2023.122917

References

Adner, R. (2017). Ecosystem as Structure. Journal of management, 43(1), 39-58.

Akkermans, H., & Van Wassenhove, L. (2018). A dynamic model of managerial response to grey swan events in supply networks. International Journal of Production Research, 56(1-2), 10-21.

Hannah, D. P., & Eisenhardt, K. M. (2018). How firms navigate cooperation and competition in nascent ecosystems. Strategic management journal, 39(12), 3163-3192.

Kazantsev, N., Petrovskyi, O., & Müller, J. M. (2023). From supply chains towards manufacturing ecosystems: A system dynamics model. Technological Forecasting and Social Change, 197, 122917.

Kazantsev, N. (2022). Supporting SME Collaborations in Low-Volume High-Variability Manufacturing. United Kingdom:The University of Manchester.

Kazantsev, N., Pishchulov, G., Mehandjiev, N., Sampaio, P., & Zolkiewski, J. (2022). Investigating barriers to demand-driven SME collaboration in low-volume high-variability manufacturing. Supply Chain Management: An International Journal, 27(2), 265-282.

Kazantsev N., DeBellis, M., Quboa Q., Sampaio P., Mehandjiev N., &  Stalker I. (2023). An ontology-guided approach to process formation and coordination of demand-driven collaborations, International Journal of Production Research, DOI: 10.1080/00207543.2023.2242508

Müller, J. M., Buliga, O., & Voigt, K.-I. (2018). Fortune favors the prepared: How SMEs approach business model innovations in Industry 4.0. Technological Forecasting and Social Change, 132, 2-17.

OECD. (2017). Enhancing the contributions of SMEs in a global and digitalized economy.

Schirrmann, A., & Drat, C. (2018). D6.1: Collaboration rules & procedures specification. Retrieved 16.12.2021 from https://6c97d07e-2d66-4f14-9c19-8c5872c4c3ba.filesusr.com/ugd/
2512a7_da7dba0ebb164182803d70e03fe6773b.pdf

Schmidt, M. C., Veile, J. W., Müller, J. M., & Voigt, K. I. (2023). Industry 4.0 implementation in the supply chain: a review on the evolution of buyer-supplier relationships. International Journal of Production Research, 61(17), 6063-6080.Sterman. (2000). Business Dynamics: Systems Thinking and Modeling for a Complex World McGraw Hill.

Categories
Resources

The potential of coworking spaces to contribute to geographically distributed manufacturing activity and regional levelling up in the UK

Research overview

Working from home, or telework, has been rising in the past 20 years, but large-scale adoption of this practice was never really embraced by the majority of UK employers. In March 2020, the COVID-19 pandemic ‘flicked a switch’ overnight, and all workers who were able to work remotely were compelled and facilitated to do so, through digital technologies.

Whilst many people who worked from home during the pandemic, many others found themselves with a lack of appropriate workspace, or experienced a sense of social isolation. As the pandemic subdued, patterns of work have evolved into more complex patterns of hybrid working.

The benefits and disadvantages of working remotely remain in this dichotomy of place – home or the office – yet new workspaces, such as coworking spaces (CWSs) offer a third option. Indeed, the growth of coworking spaces has grown significantly across the world since the pandemic, not only in cities, but also in the suburbs, towns and rural villages.

Other countries (across Europe and the USA) have recognised the potential of CWSs, to help deliver economic growth and develop places beyond their core cities. They have begun to develop explicit policies to support remote working from these places. However, there is a noticeable absence of this type of discussion in UK policy and the question is, why? Are they not popular in such areas of the UK, are they different to city-based CWSs, in what ways? What are the implications for the areas they are located in?

Our pilot study of CWSs in a number of provincial areas in England examined what CWSs in these areas look like, what they do, what are their governance structures and the potential they hold for raising entrepreneurship and business growth beyond core-cities. We interviewed owners, managers and users of CWSs; Chambers of Commerce, local councils, local enterprise partnerships. We made observations of a variety of CWSs types, business models and identified the range of their activities they undertook to support their local areas. We listened to how they were faring, their relationships with each other and other local bodies. Our findings are summarised in two reports. Whilst designed to sit as separate briefs, there is complementary in what they cover, and benefit from being read together.

The first report “The rapid rise of rural co-working in England: sharing experiences for mutual learning” is a briefing for industry. It identifies the activities undertaken across a range of CWSs and collates them to provide insights and suggestions to other CWS owners and managers about the best practices we observed, so that these might be considered by those who do not currently adopt them and strengthen the role of their CWS to its local economy further.

The second report “The potential of coworking spaces to stimulate local growth outside of major cities” is a briefing to local and national policymakers. It identifies more specifically, the contribution CWSs can make to various levels of community: the community within the CWS, the local business community around it, and the wider social community in which they reside. It also identifies areas in which the government could offer more support. The potential value CWSs bring to each level of community means they deserve to have greater attention from local and national policymakers as they grapple with how to stimulate local growth and prosperity across the UK.

This research was conducted by Dr. Felicia M Fai, Dr. Mariachiara Barzotto and Professor Phil Tomlinson (University of Bath). This work was supported by the UKRI Made Smarter Innovation Challenge and the Economic and Social Research Council via InterAct [Grant Reference ES/W007231/1].

For further discussions or potential applications/collaborations, please contact Felicia Fai.

Categories
People Productivity Resilience Resources Sustainability

Future of Digital Manufacturing Ecosystems – 2040 scenarios

Research overview

Disruption, digital innovation, new business models… the world of manufacturing is changing rapidly, perhaps faster than ever before. To adapt and survive, businesses must anticipate changes, identify opportunities and make informed decisions.
 
So, how can you be ready for the changes that lie ahead? How can you pivot to be equally productive and sustainable, delivering progress with purpose?
 
The InterAct Future of Digital Manufacturing Ecosystems research team has put together a vital report that brings you the information you need, at your fingertips, outlining potential future scenarios and the associated opportunities for the manufacturing world.
 
Future of Digital Marketing Ecosystems – 2040 Scenarios

These scenarios map out four potential alternatives for the digital manufacturers of tomorrow, including:

  • Productivity Powerhouse
  • Flexibility as Standard
  • Sustainability Champion
  • Happy and Sustainable Workforce

Download the report to find out more about how the most useful measure of sustainable progress is total factor productivity, which accounts for inputs beyond labour – such as materials, energy and administrative time – to compare them against total outputs. You will also learn how these inputs can be measured against one another, and how businesses can begin working towards achieving them.

As the report shows, by considering the human factors behind digitalisation today, you’ll be much better placed to build true resilience into your business tomorrow.

This research was conducted by Dr. Wanrong Zhang, Professor Janet Godsell and Dr. Kamran Chatha (Loughborough University). This work was supported by the UKRI Made Smarter Innovation Challenge and the Economic and Social Research Council via InterAct [Grant Reference ES/W007231/1].

For further discussions or potential applications/collaborations, please contact Jan Godsell.

Categories
InterAct Blog

How can we attract the next generation of young talent into UK digital manufacturing careers by 2040?

Our exciting new project aims to develop a strategy to inform the rebranding of UK digital manufacturing to attract the next generation of talent into UK digital manufacturing careers by 2040.

In May 2023, the team members met at an InterAct research sandpit hosted by Loughborough University, which was held with the aim of developing research projects to accelerate the innovation and diffusion of Industrial Digital Technologies in UK manufacturing.

During the sandpit, it became clear that our interdisciplinary team shared a passion to make UK manufacturing a place that attracts, includes, and supports young talent from diverse backgrounds and mindsets. However, recent research conducted by MAKE UK reports only 2% of the average UK manufacturing workforce is currently below 30 years old [1].

Additionally, a recent InterAct 2023 survey on UK perceptions of manufacturing has found that younger generations identify UK manufacturing as an unattractive brand with uncertain employment prospects which is problematic for attracting ambitious and creative digital talent [2]. These negative perceptions in part could be attributed to older generational memories and experiences of physically demanding manufacturing jobs that fuelled the post-World War II economic recovery. Accounting for the rise of today’s digital labour market [3], these negative perceptions and experiences of UK manufacturing are likely to shape children and grandchildren’s career choices. This all adds up to a generational problem in UK manufacturing which is deep-rooted in the cross-generational experiences of what UK manufacturing once represented and the extensive and diverse career opportunities that are available today and will be realisable the future.

These preliminary findings paint an unsettling picture for UK manufacturing, especially when digital transformation has become a strategic priority for companies [4], industries [5] and countries [6]. At the country-level for example, if the UK is to pursue its levelling-up agenda and overcome its regional [7] and international [8] productivity gaps, then attracting young, digitally literate, and productive workers into well-paid, high-skilled manufacturing careers would seem an intuitive and rational approach. However, academic research continues to report that a major barrier for the digital transformation of older firms in various manufacturing sectors is the legacy of underperforming business models, inefficient workplace practices and traditional organisational structures [9], [10], [11].

These organisational legacies also raise the challenge that new digital competitors – such as the big technology firms and technology start-ups – are perceived to attract younger talent and the career aspirations of Generation Z [12] through creative workplace practices, new organisation designs and innovation cultures. 

Therefore, to address this problem, our project intends to co-create the most plausible future scenarios for rebranding UK digital manufacturing to help stakeholders attract the next generation of young talent into manufacturing careers by 2040. As our project is exploratory in design, we will interact with a range of policy makers, educators, employers, and university students to gather insights on how to attract young people into UK digital manufacturing careers by 2040. This will be conducted through six work packages that range from data mining four generations of manufacturing data held by the UK Office for National Statistics to interviews and focus groups with key stakeholders including business owners, industry bodies, technologists, policy makers, educators and students that are passionate about supporting the co-development of UK digital manufacturing.

We will also work with Strategic Innovation Ltd – a technology and innovation consultancy with a passion for sustainability – on a key output which will be the co-creation of a cross-generational map of peoples’ lived experiences of UK manufacturing. This will include both past and present experiences and will visualise potential rebranding opportunities for attracting the next generation of young talent into digital manufacturing careers by 2040.

By providing stakeholders with a visualisation of the future, our project will initiate  the development of a strategy for digital manufacturing careers that can play a central role in the UK’s economic and social development at home and overseas by attracting top talent into these roles.

If you or any colleagues would like to participate in our project, please contact Karl Warner, our Principal Investigator at karl.warner@glasgow.ac.uk for further information.  


References

[1] MAKE UK (2021) Manufacturing Our Recovery Through Inclusion (https://www.makeuk.org/insights/reports/manufacturing-our-recovery-through-inclusion)

[2] InterAct blog (2023) Future workforces: job quality & perceptions of UK manufacturing

(https://interact-hub.org/2023/05/23/future-workforces-job-quality-perceptions-of-uk-manufacturing/)

[3] Digital Skills & Jobs Europa (2023) The Rise of the Digital Labour Market (2022)

(https://digital-skills-jobs.europa.eu/en/inspiration/research/rise-digital-labour-market-2022)

[4] Sousa-Zomer, T. T., Neely, A., & Martinez, V. (2020). Digital transforming capability and performance: a microfoundational perspective. International Journal of Operations & Production Management, 40(7/8), 1095-1128.

[5] Ciarli, T., Kenney, M., Massini, S., & Piscitello, L. (2021). Digital technologies, innovation, and skills: Emerging trajectories and challenges. Research Policy, 50(7), 104289.

[6] Senna, P. P., Roca, J. B., & Barros, A. C. (2023). Overcoming barriers to manufacturing digitalization: Policies across EU countries. Technological Forecasting and Social Change, 196, 122822.

[7] Office for National Statistics (2023) Regional labour productivity, UK: 2021

(https://www.ons.gov.uk/economy/economicoutputandproductivity/productivitymeasures/bulletins/regionallabourproductivityincludingindustrybyregionuk/2021)

[8] Office for National Statistics (2023) International comparisons of UK productivity (ICP), final estimates: 2021

(https://www.ons.gov.uk/economy/economicoutputandproductivity/productivitymeasures/bulletins/internationalcomparisonsofproductivityfinalestimates/2021)

[9] Warner, K. S., & Wäger, M. (2019). Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal. Long range planning, 52(3), 326-349.

[10] Jones, M. D., Hutcheson, S., & Camba, J. D. (2021). Past, present, and future barriers to digital transformation in manufacturing: A review. Journal of Manufacturing Systems, 60, 936-948.

[11] Ates, A., & Acur, N. (2022). Making obsolescence obsolete: Execution of digital transformation in a high-tech manufacturing SME. Journal of Business Research, 152, 336-348.

[12] Barhate, B., & Dirani, K. M. (2022). Career aspirations of generation Z: a systematic literature review. European Journal of Training and Development, 46(1/2), 139-157.

Categories
People Resources

Women in manufacturing: the case for a gender-transformative digitalisation

Research overview

We are at a crossroads, with the opportunity either to progress towards a more equitable manufacturing landscape or to deepen existing gaps. The digitalisation of manufacturing provides a chance to transform the sector into a more inclusive and diverse one. However, if we do not take intentional and proactive steps, this digital transformation could instead reinforce prevailing norms and deepen gender inequalities.

The project ‘Women in digital manufacturing’ brought together academics and practitioners to raise awareness about the challenges that women face when participating in manufacturing, while highlighting the transformative potential of digital technologies in creating a more diverse and inclusive manufacturing sector.

This policy brief aims to inspire and inform gender-transformative initiatives that challenge unequal gender relations and discriminatory norms and practices within the manufacturing sector. It offers insights into the state of women’s and men’s participation in manufacturing, and through the narratives of accomplished professionals in the field, it unveils the barriers that women face to enter and advance in this sector. The policy brief offers practical recommendations for businesses, industry associations, and research and government organisations to promote gender diversity and inclusion within the UK manufacturing sector.

This research was conducted by Dr. Jennifer Castañeda-Navarrete, (IfM Engage, University of Cambridge). This work was supported by the UKRI Made Smarter Innovation Challenge and the Economic and Social Research Council via InterAct [Grant Reference ES/W007231/1].

For further discussions or potential collaborations, please contact Jennifer Castañeda–Navarrete.

Categories
InterAct Blog

Industrial metaverse for manufacturing systems: hype or future reality?

Our project aims to provide a coherent interdisciplinary summary of established knowledge from academia and practice on the application and potential benefits, barriers, and risks of a metaverse in manufacturing, mainly focusing on bridging technical and social insights.

Metaverse is expected to provide numerous benefits, particularly in production process optimisation, employee induction and collaboration. The most surprising research finding so far is just how varied the definitions of metaverse are. For our study, we define industrial metaverse as” a sensory environment that uses extended reality to blend the physical and digital worlds to transform how businesses design, manufacture and interact with objects”.

The existing industrial cases reveal technological barriers such as immaturity, lack of sufficiently strong communication networks and sustainability concerns. Other cases include cybersecurity risks like cyberattacks and data protection/privacy issues. The social barriers include jurisdictional and legislative difficulties, lack of cooperation between companies necessary to achieve interoperability and the need to change worker and user mindsets. 

Figure 1. Industrial metaverse as a new interface to the products’ manufacturing system

Although the data suggests immersion as a driving force of the metaverse[1], a full immersion can not be achieved without impacting the senses and feelings of a user. For example, in sensory marketing, similar impacts (experience stimuli) are used to trigger purchasing intention (Dewey, 1925; Schmitt, 1999), however, in the physical reality. Hence, we envision a similar trend in the digital world, where an industrial metaverse will extend the numeric and graphical data (such as reports) into coherent immersive experiences that will also affect feelings, Figure 2.

Figure 2. Industrial Metaverse as a combination of senses stimuli

Our conceptualisation efforts aim to prototype an industrial metaverse that activates several senses (sight, sound, temperature, and smell) and test how the extended experience triggers actions.

“Highly promising results are expected for the intersection of resilience and sustainability,” said Nikolai. “For example, based on the sensory marketing research that positions smell as the strongest attractor for purchasing decisions, we aim to virtualise the production conditions with sight, sound, temperature, and smell and enhance experience stimuli in the metaverse. We think it will better inform purchasing choice and support the demand pattern for clean energy, ethical production, and fewer emissions along supply chains.”

After the first results of the systematic literature review, we wish to explore the feasibility of the extended reality to shift decision-making towards more expensive but more sustainable decision-making along the manufacturing value chain[2]. Over the following months, our research aims to exemplify our concept using a scenario based on food manufacturing system for chocolate production. To do so, we will integrate the popular Augmented Reality platform with audio, temperature and smell generator devices to extend the experience for a policy-maker, manufacturer or customer making a hard choice between a cost-efficient vs. sustainable manufacturing system. This prototype will be used as a sensory dashboard for an extended representation of material sources, production conditions, carbon footprint and energy sources to better inform the stakeholder about the impacts of their decision.

“Carbon emission, working conditions, and energy consumption remain underexplored in the real world but visible in the metaverse. Hence, the metaverse can be used to raise awareness about manufacturing systems.”

Yet, It is unclear if being informed on carbon emissions in real-time will impact manufacturers’ use of their machines and shift the regulation imposed by policymakers. For example, would the smell of burning Amazon forests shift a consumer’s decision-making closer to more expensive sustainable purchase better than the printed carbon footprint number on the product package?

Figure 3. Industrial metaverse as a sensualisation of real-time data sharing   

The project has an open innovation philosophy, so we wish to create a discussion space around the metaverse application for manufacturing and are open to collaboration with the InterAct researchers and the industrial community.

To disseminate the findings, we plan to run a public event involving technology providers, industry, academia and stakeholders from the local public administration at the end of 2023.


References

Academic

Dewey, J. (1981). The later works, 1925-1953 (Vol. 3). SIU Press.

Schmitt, B. (1999). Experiential marketing. Journal of marketing management15(1-3), 53-67.

Petit, O., Velasco, C., Wang, Q. J., & Spence, C. (2022). Consumer consciousness in multisensory extended reality. Frontiers in psychology13.

Industrial

https://www.radiantvisionsystems.com/blog/creating-full-sensory-experiences-future-ar/vr/mr/xr

https://www.ericsson.com/en/6g/internet-of-senses

https://www.bitstamp.net/learn/web3/extended-reality-virtual-reality-augmented-reality-and-more/

https://www.designnews.com/augmented-reality/metaverse-will-engage-all-five-senses


[1]64% of industrial cases describe metaverse as a realistic user experience

[2] The team is considering to apply for further funding via the newly launched Impact Booster Competition of Made Smarter Innovation Challenge