• Uday Phadke

Manufacturing & Deployment: Understanding your priorities

Systematic deconstruction of the manufacturing and deployment challenges highlights 5 key areas that you need to address:

  1. Components: New products may need the creation of new tools, techniques, and in some cases, the development of new materials.

  2. Supply Chains: most companies understand conventional manufacturing supply chains, but for some new products, they may need to adapt or even invent new supply chains.

  3. Processes: In many cases, the manufacturing and deployment of new products may only require some process optimisation; in some situations however it may be necessary to design a completely new manufacturing process; this may need to be done from scratch, or could be done by ‘cross-fertilising a process from one market space to another.

  4. Deployment: Some products and services may require an on-going relationship between the provider and the customer. For example, deploying computing platforms can create additional challenges based on how products are assembled, installed and set-up. In some cases, the product or service may require continuous active monitoring of components and systems, including dynamic management and maintenance.

  5. Integrated Operations: Advances in manufacturing and deployment, including mass customisation, are changing things; for example, the Industry 4.0 initiative, which builds on the potential for dynamic tooling, supply management, and customised manufacturing and deployment, means that companies need to understand inter-operability, data transparency and exchange, and automated decision-making.

Probably the biggest emerging manufacturing challenge concerns the logistics and integration of design, simulation, manufacturing, deployment, and management. Cloud computing companies provide a good example of this challenge.


The technologies for secure data processing, storage and distribution are well developed, but the logistics of how products and services are deployed remain a major challenge. These challenges are becoming more acute with the proliferation of more granular data, large data volumes, faster responding networks, and more sophisticated functionality in the hands of end-users.


New IOT (internet of things) services highlight this problem but the same challenges can also apply in the healthcare market space; for example, the design of new products and services enabling gene therapy for patients, or the provision of personalised bed-side bio-processing and treatment.


Another challenging area concerns the scaling of manufacturing techniques; for example, in some types of bio-tech manufacturing. processes designed in pilot plants may not scale to full-scale manufacturing because of non-linear behaviour of enzymes and catalysts.


The Triple Chasm Model highlights the need to understand the changing balance between manufacturing and deployment, for example in mass customisation of products.


If you agree that data beats anecdotes, sign the manifesto, learn more about our approach, or download our white paper.

3 views