Manufacturing is slowly getting even smarter

Clif Bar is a nutritious energy bar, popular throughout North America. The leadership team is committed to supporting its teams and communities and enabling the planet to thrive.

So when Clif Bar decided to build its first proprietary factories at two new greenfield and brownfield sites, it wanted these sustainable values to be at the heart of its plans.

We came onboard to help them design, build and operate the new sites. The plants opened within one month of each other, on plan, and Clif Bar now produces 75% of all products there.

Al Marai Company is the world’s largest vertically integrated dairy company and is the biggest food and beverage manufacturer and distributor in the Middle East. The company manufactures a vast range of dairy, fresh juices, bakery, poultry and infant formula, all of which must be produced safely and delivered fresh to market.

Different SKUs are manufactured at different sites across Saudi Arabia, but all final products are delivered to a consolidation facility for final checks and distribution. Yet the management team did not have the real-time insight of their production operations that they desired to manage their supply chain.

With AVEVA’s Manufacturing Execution System, team leaders now benefit from real-time oversight of filling and packaging performance, letting them make better decisions, optimize their supply chain and produce more food, more efficiently, for people across the region.

Schneider Electric is a world leader in energy management and automation. The team created the Smart Factory program, using Industry 4.0 technologies to drive sustainability and scale across its global manufacturing portfolio.

The Smart Factory in Batam, Indonesia, is a leading facility in the program, producing 11 different product lines for Schneider Electric.

We helped our partners in Schneider’s management team to build a real-time view of plant performance, unifying all of the factory’s data into a new, digital command and control center. This helped the operations team monitor and adjust for anomalies, minimize downtime and raise efficiency by more than 40% across the entire value chain.