Deploying Industrial Analytics from Scratch (by Kudzai Manditereza)

Industrial Analytics has the potential to transform how organizations identify and eliminate operational problems that often arise in manufacturing plant-floors. Problems such as lack of visibility, unplanned downtime, low quality, and management of changeovers. Moreover, industrial analytics can help detect opportunities and/or issues that may have gone unnoticed. Examples include the detection of anomalous conditions in equipment and process data.  If operating your factory with the highest possible efficiency is what you yearn for, then there couldn't have been a better time than now for you to start on the path of understanding how Industrial Analytics work, and how they can help you transform the way you run operations.  In a nutshell, Industrial Analytics is a solution that helps you identify wastage in your factory. Wastage in the form of production defects, over-production, unplanned downtime, non-utilization of equipment, extra processing, inventory, transportation, and so forth. And once you've identified wastage, an analytics solution gives you the power to take action in order to reduce or eliminate that wastage. This article is meant to give you a guide on how you can go about deploying an analytics solution for your manufacturing plant. Let's first take a look at how…

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Free Tool Guide To Help Your Packaging Factory Reach Its Highest Potential

Digital transformation, Industry 4.0, operational efficiency, production metrics, manufacturing dashboards and packaging manufacturing are topics that have been following PackIOT for a while now. Throughout all this time we have been trying to show you how technology can play a huge part in our lives and in our manufacturing businesses, specifically. It felt right to do a compilation of the main materials we have created so far that can help you on this journey to become more digital and efficient within the packaging manufacturing world. Below you will find  list of the main free resources that PackIOT has created throughout the past months: 1_Free Guide: 15 Essential KPIs and Metrics For Packaging Manufacturers Plant managers and executives often feel the information overload about the production of their factories. This is a challenge as it becomes more difficult to analyze everything and decide which metrics should be used in their businesses to create better reports and analysis. These manufacturing metrics and KPIs will help you monitor, analyze and, consequently, optimize the production processes in your factory. This will obviously contribute to the improvement of the quality and quantity of produced goods. Our free guide covers everything from production…

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Does Efficiency Go Hand-in-Hand with Sustainability in Manufacturing?

By Mariana Costa, Marketing Specialist at PackIOT Sustainability is based on the idea that the activities performed should “meet the needs of the present without compromising the ability of future generations to meet their own needs”. On an industrial level, this basically means growing the manufacturing industry making sure that we keep the environmental, social and economic impacts at a sustainable level. On the other hand, resource efficiency means improving efficiency and effectiveness of how we use resources (materials but also land, soil, air, water, biodiversity and ecosystems). This might be using less to produce more and causing less impact from the resources we are using. Measuring the levels of sustainability and (resource) efficiency are a first step to really understand where we stand and where we have come from. Only this way can we understand progress, its speed and direction. Consequently, we will be in the right place to adopt effective management strategies. In the manufacturing world we can all agree that AI is a big impulse to sustainable development, paving the way to a more eco-friendly, less waste and energy-efficient sector. This includes diminishing the impact of the industry’s main problems such as: Excessive use of…

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How AI Drives Sustainability In The Manufacturing Industry?

It starts to become clearer and clearer the connection between artificial intelligence and sustainability. AI is on its way to help the world become more sustainable and that is no different for the manufacturing industry. Necessarily, the road implies addressing the three P’s of sustainability – people, planet and profit – and how AI is influencing each one of these levels in manufacturing. The millennial workforce is becoming disruptive, increasingly aiming to adopt long-term policies that will provide a more stable and sustainable environment. This is becoming part of a growing identity. The industrial actors that put aside sustainability goals have or will have a harder time to find a future workforce or customers. This is simply explained by the fact that these agents will not invest in products or services that do not meet nor represent their values. Interestingly, we can expected a future tendency to evaluate the companies less on their profit and loss statements and more on their commitment with the three P’s of sustainability. 1_People In order for you to be able to create the workforce of the future in your own factory it is essential to do two things: capture and transfer…

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