28th July 2016
Download OEM Outsourcing Brochure
MAN’s Original Equipment Manufacturer (OEM) brochure features industry leaders in fabrication, electronics and electrical assembly, who have worked together on a number of projects to deliver outsourcing solutions to OEMs across the world.
By sharing its resources, knowledge and expertise, the MAN Group provides unique access to a manufacturing service that can reduce lead times, increase capacity, solve complex production issues and cut costs.
Find out more about the companies behind the MAN Group’s OEM Outsourcing: Download Now
One of the UK’s leading strategic manufacturing specialists is tapping into the UK’s unprecedented investment in upgrading the electricity grid.
As Britain accelerates investment in grid infrastructure, protection and control capacity could become a critical delivery constraint.
The appointment of a new Prime Minister inevitably brings renewed debate about the direction of the UK economy and what it could mean for business.
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.
