SYSPRO Smarter ERP
JULY 3, 2023
Using artificial intelligence (AI) in manufacturing can significantly improve productivity, reduce equipment failure, increase production efficiency and help identify new business opportunities. The area of AI that manufacturers need to explore to drive their factories into the future is machine learning (ML). The Industry 4.0
DELMIA Quintiq
FEBRUARY 14, 2022
The past year and a half saw manufacturers face unprecedented challenges resulting from global disruptions, to which they responded by repurposing or developing new product lines, reconfiguring their plants and restructuring their supply chains in order to meet changing demands and keep afloat amidst uncertainty.
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SYSPRO Smarter ERP
APRIL 17, 2023
The manufacturing industry is currently undergoing a rapid digital transformation, and as a result, companies are generating vast amounts of data. Unfortunately, without proper processing and analysis, this data is of little use to the organization. This enables managers to take swift action and keep production on track.
Supply Chain Shaman
JULY 30, 2022
However, two decades later, there is still no technology solution to enable demand visibility or help companies use channel data to translate demand into an inventory, replenishment, or manufacturing strategy. Why have we not improved our use of channel data in supply chain processes?” My question is, “Why?”
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As organizations become more data driven, their analytics requirements grow. The expectation to do more with their data becomes a moving target for them and the applications that serve them. This report examines how knowledge workers use analytics and explores their needs and preferences. But what do users really want?
Supply Chain Shaman
MARCH 16, 2021
In our pandemic research, we interviewed thirty manufacturers. To gain insights, we interviewed Alexandros Skandalakis, Director of Manufacturing Capacity, reporting to operations/manufacturing globally within Philip Morris. We wanted to find a better way to design our network and optimize future manufacturing outcomes.
Enterra Insights
OCTOBER 7, 2022
“US manufacturing may be poised for an overhaul and a rebound,” according to analysts from McKinsey & Company, “with a potentially significant impact on the nation’s overall economy.”[1] ”[1] They go on to note that, even without a rebound, manufacturing already makes an impact on the economy.
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This Gartner report, provided complimentary of TadaNow, provides answers to questions that Supply Chain leaders in Manufacturing companies have –– from definitions and scope to framework, how to leverage it all, and best practices. Create –– What are the steps manufacturing organizations need to build a control tower?
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From consumer electronics to automotive manufacturing, most of the global economy’s largest industries rely on some form of discrete manufacturing. Manufacturers in these industries face several unique challenges: Labor and material shortages halting production. Inconsistent data on safety stock levels.
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Medical and pharmaceutical manufacturers have faced increasing logistical challenges over the past two years. This report, produced by Worldwide Business Research, explores the progress companies have made toward supply chain digitization and logistics maturity.
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Even global manufacturers –– companies across industrial, automotive, chemical, and energy industries –– are scrambling to mitigate the impacts of labor, material and energy shortages, delays, inflation, and unexpected events. It’s not just small and medium-size businesses that are caught off guard.
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