After 10 years in the make, CETI, the European Centre for Innovative Textiles, was finally inaugurated in October 2012. The aim of the research centre is to give the textile industry a platform to research and prototype innovative textiles that can be used in sectors like: Medical, Sport & Leisure, Hygiene, and Protection sectors representing 25% of technical textile manufacturing industry; building and civil engineering that account for 10% of the production; transport making 26% of the market volume (and 15% of the market value) of technical textiles.
As part of a workshop given at the Textile Exchange 2013 conference, we ran a small survey among workshop participants in order to find out more about their perception of and experience with Scenario Planning. Here the survey results.
Cotton as an attractive alternative in tsunami regions. Leading textile manufacturers promoting the cultivation of organic cotton. New technologies and methods for natural dyeing processes and recycling. And five categories of Green Fashion in Japan.
In last week’s post I looked at energy companies and their trajectory relative to the Paris Climate Agenda. The insights clearly suggested a mixed picture. A clear point of how important it is to decarbonised the way we fuel our economy and global society.
But that’s unfortunately not all there is to the energy generation picture!
What few people realise: Energy generation requires water. A lot of water.
Not just in the energy generating processes, but also in the extraction of the energy source (coal in particular), and/or the making of the necessary equipment.
Some insights ... illustrated at the example of China.
Barcodes, RFID tags, and QR codes have each introduced a new era of on-product information distribution and acquisition.
In this article I would like to look at a family of digital solution components that many brands and manufacturers will already use and be reliant on, and that – if integrated – could be leveraged to provide full-depth traceability.
Can AI help us to get to (better) grips with supply chain compliance?
Supply chains are based on fairly complex partnership networks where every link ideally must meet strict efficiency and compliance standards.
Supplier audits and legislation aim ultimately to ensure high standard, it is a not the least highly time demanding task to be successful at. AI offers the potential to support practical solutions for risk assessment, process optimization, and partner evaluation. Commercial providers are already jumping on the band wagon by providing ways to build 'digital twins' of real supply chains – hence opening them up for 'offline optimisation' - and of course highly sophisticated data analytics tools drawing from multiple disjoint data sources.
The RITE Conference's 2012 edition showed that the challenges for the industry are clear, and so are the general directions that need to be taken. But there are some marvellous and challenging mountains to climb, and they cause a notably sensation of paralysis.
Computer Science and Sustainability/ESG: these two areas of expertise combine increasingly well with every passing month and year. In fact, I am tempted to say that the two worlds of sustainability and digitalisation are surprisingly similar to one another. In a number of ways – not in all, of course! – they overlap more than they differ. And mutually benefit each other.
Both areas represent critical skill-sets for boards and senior executives in the current and upcoming decades. This is why I thought I’d take the time to reflect on the overlaps, the synergies, but no doubt also the differences.
The key words: systems thinking, automatisation, fraud prevention and authentication, business model distruption, usability, and the Just Transition.
The fashion industry, nearly like no other, has gone through dramatic changes in the last 20, 30 years. Indeed it finds itself in the present at a crossroad. Resource scarcity is triggering shifts in business models and supply-chains; waste is the new resource; customers are the sales channel of the future; and legislation is becoming ever more stringent. The fact though is: if looking back at predictions of the 1950 and 1960, or even earlier (physical artefacts not considered), the reality we live in compares best to the predictions that were considered ‘totally crazy’ in their time.
Could ESG reporting finally become less repetitive and tedious?
AI has the potential to transform ESG reporting by automating compliance tracking, integrating data from diverse and unstructured sources, and streamlining audit preparation. This opens up opportunities to free data and ESG experts from repetitive, tedious tasks. Yet, while AI offers promise, tight oversight remains essential to address challenges like data quality ('crap in is crap out') and system integration.
Mistra Future Fashion (MFF) is a 4-year research project (2011-2015), funded by the Swedish government via Mistra, the Foundation of Strategic Environmental Research.
MFF has a very holistic approach that has the goal of supporting the industry to re-think their business models, design and industrial processes and promote consumer behaviour change.
The term ‘circular economy’ has recently been – again – converted into a buzz word. To some extent there are a couple of good reasons for that as both common sense as well as the Ellen McArthur foundation's most recent report prove.
2045: scenarios for the textile and fashion industry: How will the industry look like in 5, 10 and 30 years time? Scenarios offer research-based insights, and potentially can show how realistic a world is, that looks rather quite different from what we're used to. What if Asia become today's Europe? What if we did not buy to own? What if everyone was a maker?
Cradle to Cradle is a design methodology that puts a 'waste-less' world at its heart. What is the concept all about? What does it mean for the apparel industry? And who practises it among designers and companies?
At Shirahime, we have worked quite extensively over the last few months on the development of fashion industry scenarios beyond the 2020 time frame, going as far as 2045.
We mentioned for example Shell as one that used this approach to suit their own goals.
Siemens' 'Future Life' video, as presented the The Crystal in London.
A much more interesting approach, and very insightful in terms of methodology, but also how tangible the results are presented, is Siemens’ work on Future Cities
Connecting the present and the past, learning and drawing conclusions from either, is and will remain key to creating a more sustainable fashion industry. So far, learning from the past in particular - in the good and in the bad - has been chiefly neglected. A series of thoughts.
If there is an area of fashion that is truly pushing the boundaries of what is technically and style-wise possible, then it is Haut Couture.
In January 2013 2 pieces among Iris van Harpenr’s 11-piece collection at Voltage show attracted the interested of fashionistas as much as product techies: The first ever wearable dresses created through a 3D printing process.
Is AI advancing sustainability or creating costly trade-offs we’re only beginning to understand? In this post, we dive into the reality behind AI's potential as a force for sustainability. While AI shows promise in enhancing sustainable practices and supporting business processes, it also has a significant CO₂ footprint—mainly from energy-hungry data centres—and its environmental impact will likely grow. Though AI could help achieve Sustainable Development Goals, this depends on our responsible use and governance of the technology. Without stringent oversight, AI risks reinforcing societal biases, as seen in social media algorithms that foster echo chambers. As with all innovations, AI’s promise is matched by its challenges, and only a well-balanced approach can ensure it contributes meaningfully to a sustainable future.
How do you make ‘sustainability' tangible?
The usual answer is – unsurprisingly – a ‘well, it depends’.
Which it evidently does.
Unfortunately, good case studies are extremely rare to come across.
Hence, when I stumbled across such a gem in one of the primary Swiss news papers, I jumped at the opportunity to summarise it for this blog.
Digital tools and IT systems are a great enabler for more data, more stringent channels of how to communicate what the different players in the chain do, and how they do it, over large distances and across operations and organizations.Yet – digital tools are more human than we think they are … because they, in the end, are representatives of the values and the world view of those that have built them.
