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October 5, 2017
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Industrias Bachoco is a leader in the poultry industry in Mexico and one of the largest poultry companies worldwide. The Company was founded in 1952, and began trading on the Mexican Stock Exchange and the New York Exchange in 1997.
whitePaper | August 19, 2020
Industry 4.0 makes manufacturing “smart” through emerging technology innovations such as data analytics, autonomous robotics, and AI. These technologies drive increased productivity and performance throughout the value chain. These datadriven innovations require information technology (IT) systems deployed on-premise, often referred to as edge IT or edge computing. This edge IT can increase the risk of downtime for automation systems in some cases.
whitePaper | September 30, 2022
Until 2020, progress towards digital transformation for most manufacturers was slow. But the urgency for manufacturers to make successful digital transformations escalated during the first 8-12 months of the global pandemic. As COVID-19 reshaped consumer buying behaviors, the pace jumped from a crawl to a sprint: According to one study, 85% of organizations accelerated their digital transformation initiatives in 2020.[1] Some industry observers believe we witnessed 6.5 years of digital progress in the last eight months of 2020 alone.[2] The pandemic was largely responsible for worldwide supply chain disruptions that slowed down goods production and delivery. As a result, manufacturers justifiably focused on managing and fixing the supply chain problems first. But as the pandemic continued, it became clear that the supply chain issues were a symptom of something deeper than the short-term disruptions.
Until 2020, progress towards digital transformation for most manufacturers was slow. But the urgency for manufacturers to make successful digital transformations escalated during the first 8-12 months of the global pandemic. As COVID-19 reshaped consumer buying behaviors, the pace jumped from a crawl to a sprint: According to one study, 85% of organizations accelerated their digital transformation initiatives in 2020.[1] Some industry observers believe we witnessed 6.5 years of digital progress in the last eight months of 2020 alone.
whitePaper | October 21, 2022
The adoption of Industry 4.0 technologies into production facilities and throughout operations, such as automation, 3D printers, cloud computing, robotics, machine learning, and IIoT devices, is gaining momentum across smart manufacturing
whitePaper | August 12, 2020
For industrial machinery and equipment manufacturers, delivering personalized, unique products is the key to doing business in an increasingly competitive environment. Read this best practice guide to learn how you can increase sales and reduce costs through. Facilitated configuration, quoting, order management, and customer communication utilizing CPQ automation
whitePaper | September 4, 2022
It’s the clarion call of today’s marketplace and the prime directive for executives in any business that designs or produces physical goods, no matter how simple or sophisticated. Fortunately, every product can be improved and made at less cost. But how quickly a company can satisfy such demands – before, say, its competitors do, or the market moves on to something new – is largely a function of the product-development cycle. Shorten that cycle, and you can improve the numbers across the board, from customer satisfaction to market share to profitability. However, one seemingly intractable barrier to faster product development lies within the traditional design process. That process starts with identifying a need in the market or within one’s organization; it ends with the manufacture of a finished product, whether a massive, complex assembly or one tiny part. In between are multiple iterations of designs and tests: engineers sketch out a solution, prototype and test it (or run a computerized simulation), and then go back to the design to address any shortcomings. But trade-offs complicate matters each time the cycle repeats: make a part lighter and it’s likely to become weaker, make it stronger and it will probably cost more, and so on. A workable, if not optimal, solution can usually be found. However, finding it often takes longer than the product-development timeline or budget will allow.
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