Three artificial intelligence ethics questions manufacturers face right now

March 22, 2020

Manufacturers are beginning to adopt AI technology themselves, marrying this new technology with the automation systems they already widely use with the advent of the programmable logic controller, manufacturers have been able to increase their productivity while employing fewer people. Here are three major AI ethical problems that manufacturing executive are facing.

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Howard Industries

Howard Industries is the leading manufacturer of liquid-filled distribution transformers for the utility and commercial/industrial markets. Other utility products include small and medium power transformers, network transfomers, voltage regulators, junction enclosures, sectionalizing equipment, and transformer components.

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How the Industrial Internet of Things is changing the Automation landscape

whitePaper | November 8, 2022

The industry is currently undergoing its fourth revolution. The third industrial revolution introduced automation, which created data. I4.0 is the movement to translate data into information. This is paving the way for introducing a high level of autonomy by utilizing smart decision-making through advanced physical or statistical modelling to achieve self-adaptation, self-diagnosis, and self-healing. This is truly relevant for the companies, as the conventional systems are unable to adapt to the highly increasing complexity and dynamic of the production environment

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Optimizing Manufacturing Production Scheduling (MPS) using constraint programming

whitePaper | July 7, 2022

Production scheduling primarily deals with arranging different jobs in various machines based on the timelines for each job. There can be numerous combinations of schedules possible. Production schedules can be designed to maximize the capacity utilization, minimize idle time of the machine, earliness, overall costs etc. Manual design of a schedule can be a tedious and time consuming task. There are a lot of dependencies which the scheduler needs to tweak based on a single change. Generating a production schedule targeting a specific objective function can be done using mathematical models. Mathematical models involve formulating the production scheduling problem as an optimization model wherein there is a certain objective function which needs to be optimized based on a set of constraints. Mathematical models generally outperform manually designed schedules which involve a lot of inter-dependencies among the jobs. Due to improvement in computational power, developing a production schedule using mathematical models is relatively quick and efficient.

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Smart Manufacturing

whitePaper | November 23, 2022

Smart Manufacturing as a concept has been around for over 15 years and is firmly on an upward trajectory as organizations are starting to realize their full transformational potential. For most manufacturers, it’s only recently that the Smart Factory is no longer considered a technology experiment. It’s now deemed a critical initiative with a clear business case: a Gartner survey of manufacturers found 88% of participants expect smart manufacturing to advance their competitiveness1 .

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Utilising Iot & Ai In Industrial Manufacturing

whitePaper | August 29, 2022

With the evolution of Industry 4.0 and the focus placed on lean manufacturing, the contemporary smart factory is expected to have made the transition to a fully connected, flexible, transparent, and maximally automated system. The realm of legacy industrial machines and industrial automation systems is becoming increasingly obsolete as companies are consolidating knowledge and insight and integrating legacy devices into novel IoT infrastructures.

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The 4 Main Challenges Facing Today’s Manufacturers

whitePaper | July 12, 2022

Modern manufacturers succeed when they balance the types of jobs they accept with the capabilities they offer, and maximize the value of both their equipment and their personnel. Shops that fail to optimize their capabilities and remove inefficiencies from their processes may be unable to produce at their real capacity and meet expected quality standards. To improve efficiency and reach their production potential, shops must discover ways to meet four main challenges, especially as highmix, low-volume (HMLV) production gradually replaces mass-quantity output in multiple industrial environments.

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Autonomous vehicles have a lotto learn.We can help.

whitePaper | July 16, 2020

That experience demands a platform supported by increased connectivity and cloud infrastructure. The industry will require immense computing and processing power for all the information that AVs rely on and will continue to rely on in a future with 5G.

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Spotlight

Howard Industries

Howard Industries is the leading manufacturer of liquid-filled distribution transformers for the utility and commercial/industrial markets. Other utility products include small and medium power transformers, network transfomers, voltage regulators, junction enclosures, sectionalizing equipment, and transformer components.

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