Information Strategies for Manufacturing Sustainability

whitePaper | November 28, 2022

Smart manufacturing is driving the manufacturing industry to modernize its software infrastructure. Whether you call it Industry 4.0 or the Industrial Internet of Things (IIoT), manufacturing is in the midst of a significant transformation. A key motivation in this push to modernize is that realtime data and dynamic decision making yield meaningful performance improvements for businesses.

whitePaper | November 23, 2022

American manufacturing is a quintessential industry and represents 11.39 percent of the U.S. Gross Domestic Product (the overall output of the American economy), contributing significantly: every $1 spent in manufacturing adds $2.47 to the economy.1 The sector makes a disproportionate economic contribution, too, including 20 percent of the nation’s capital investment, 35 percent of productivity growth, 60 percent of exports, and 70 percent of business R&D spending.2 Since there are almost 300,000 factories in the United States, the economy benefits greatly from manufacturers. To ensure these companies remain competitive, adopting new technologies is imperative. To that end, companies must also determine what tools and software will be necessary to most effectively leverage these new technologies.

whitePaper | October 19, 2022

The 1980s saw the Western World’s academics and manufacturers cast their eyes eastward to the miracle of Japanese manufacturing. Specifically, its low cost, high quality, and low stock. As a result, Japanese products were successfully flooding the Western World’s market and were seen as “World Class”.

whitePaper | July 13, 2020

There are different tracking technologies typically used in a production facility. Depending on the amount of data transmitted and the complexity of implementation each have corresponding price points. The manual manipulation of hand scanners requires time for processing and allows for error in recording. The cost of implementation is low, but systems require consistent investment of time devoted to ensuring accuracy. The cost to serialize assets for tracking is low, but the data can be damaged and capacity/flexibility for data storage is limited.

whitePaper | December 30, 2022

In recent years, Data and analytics capabilities have made a good progress resulting to numerous recent advancements. Majority of advancements have been made in various ways like development of more sophisticated algorithms, exponential growth in the volume of available data, and storage and computational power have uninterruptedly improved. The combination of these trends has led to business disruptions and fueling rapid technology advances.

whitePaper | April 25, 2022

In the late 18th century, the first industrial revolution transformed hand production methods into steam machines. The second industrial revolution which occurred at the end of the 19th century revolutionized communication and transport methods with the telegraph and railway. The third revolution brought computing power to manufacturing processes in the second half of the 20th century.