12th September 2022
Brexit, the pandemic, the Russian invasion in Ukraine, and rocketing transport, energy and raw material costs have become ingredients to a disruptive cocktail of supply chain pains. It’s no wonder that so many consider these pains as circumstances out of their control.
This book collects a series of published content from leading voices at PP Control & Automation and the wider UK manufacturing community. It details not just the disruption at play, but also the opportunity to break the cycle and take back control. Together, we’ll come out the other side buoyant with greater resilience than ever before.
Even more choice in the Resource Centre
This book collects a series of published content on the topic of supply chain disruption from leading voices at PP Control & Automation and the wider UK manufacturing community. It details not just the disruption at play, but also the opportunity to break the cycle and take back control. Together, we’ll come out the other side buoyant with greater resilience than ever before.
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There should always be a process of consideration when selecting the right outsourcing partner and understanding how that partner delivers against your requirements. That’s why PP C&A introduced the 3D process. It clearly defines the whole journey into three specific stages: Discovery, Decision, Delivery.
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This collection of case studies examines some of the recent strategic outsourcing partnerships delivering against several business pains for machine builders and OEMs. This guide collects case studies published during 2021.
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This guide highlights key technical supplier relationships covering a broad set of categories, from industrial design support and access to academia, and automation and legislation partnerships, to packing and shipping finished goods, all designed to add sought after value to customers.
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As a manufacturer of machinery, how confident are you that you are meeting the legal and technical requirements of the US and North American markets? Confusion in respect to UL508A and NFPA standards can be extremely costly.
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Ian Knight, Chief Information Officer at PP Control & Automation (PP C&A) challenges the prevailing, often vague narrative around AI adoption and reframes the conversation around a more practical starting point: operational constraints.
Artificial intelligence is no longer a distant concept for manufacturers. It is already being explored across quotation, production planning, engineering, quality, supply chain and customer service functions. Yet, for many organisations, the gap between experimentation and meaningful operational impact remains difficult to close.
A leading aquaculture specialist – that is changing the way fish are vaccinated safely – has signed a major manufacturing deal.
On paper, defined discipline-specific suppliers can look organised. However, every additional supplier introduces another handoff, and every handoff creates another point where time, quality, communication and accountability can be lost.
Very rarely does growth not surface because an OEM lacks ambition. Shortcomings arise because operating models built to support such ambition don’t evolve quickly enough.
Recent weeks have brought two important industry moments into sharp focus, concluding that demand for AI and automation is rising, but investment, skills, and long-term thinking must follow.
For decades, one question has sat at the heart of operational strategy for machine builders and OEMs: make or buy? It’s a familiar debate and it isn’t the wrong question by any means, but perhaps it is an incomplete one.
In most machine building businesses, change is still treated as an exception. A late-stage drawing revision, component substitution, or wiring tweak discovered during build. Each one is handled, resolved, and signed off. And then everyone moves on. But what if that’s the wrong way to think about it? What if change isn’t the disruption to the system but the system itself?
