Qual é o Nível de Maturidade Digital Da Sua Fábrica De Embalagem? Descubra agora, e de graça, com nossa assistente virtual

Muitos profissionais de empresas de embalagem estão curiosos para saber quão maduras suas empresas estão em termos de transformação digital. Mas, geralmente, este simples interesse vem ligado a três problemas, bem desconfortáveis: - é necessário realizar pesquisas complexas por conta própria - formulários de terceiros são muito chatos e trabalhosos - consultores cobram caro demais para entregar algo a você Tentamos resolver isto de uma maneira muito simples. Eliminamos os formulários chatos (desculpe, mas são sim), jogamos fora a necessidade de você fazer cálculos complexos por conta própria e criamos uma ferramenta gratuita. Sim, uma ferramenta gratuita e instantânea!!! Conheça Eva, nossa analista virtual de dados. Em uma conversa simples de 2 minutos, ela entregará um relatório de seu nível de maturidade digital. Estas são perguntas rápidas e fáceis sobre tópicos que você domina na rotina diária da sua fábrica. (clique no link e inicie sua AVALIAÇÃO GRATUITA). No final, Eva lhe dará o nível em que você está e o que você pode fazer para melhorar ainda mais. E repito: online, gratuito e totalmente intuitivo. Que tal tentar uma conversa com ela? Experimente agora, de graça. Primeiro de tudo: maturidade digital é cultura, não apenas adoção…

Continue Reading

How Digitally Mature Is Your Packaging Factory? Find Out Now With Our Free And Exclusive Chatbot Assessment

Many employees of packaging companies are curious to know how mature their enterprises are in terms of digital transformation. But usually, this simple interest comes tied to three problems: - it is necessary to carry out complex research on your own - third party forms are very boring - consultants charge too much to deliver something to you We try to solve this in a very simple way. We eliminate the boring forms (sorry, but they are), we throw away the need for you to do complex calculations on your own and we create a free tool. Yes, a free and instant tool!!! Meet Eva, our virtual data analyst. In a simple conversation of 2 minutes, she will deliver a report of your digital maturity level. These are quick and easy questions on topics you master in your organization's daily routine. (click on the link and start your FREE ASSESSMENT). In the end, Eva will give you what level you're at and what you can do to improve even more. And I repeat: online, free, and totally intuitive. How about trying a conversation with her? Try it now, for free. First of all: digital maturity is about…

Continue Reading

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…

Continue Reading

How AI Drives Sustainability In The Packaging Industry?

By Mariana Costa, Marketing Specialist at PackIOT 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 packaging 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…

Continue Reading

MES or Production Analytics: What Is The Best Solution for My Packaging Factory?

By Mariana Costa, Marketing Specialist at PackIOT Production Analytics is not the same as Manufacturing Execution System - MES. Both are different tools with different goals. We want to help you understand and spot the main differences between these two distinct systems and hopefully help you make better decisions for your factory in the future. The goal of any manufacturing analytics application is always to increase capacity, productivity and throughput. Basically, what all this means is doing more with the same already existing resources. This is achieved by using machine and operator data through which is possible to find and eliminate bottlenecks in the manufacturing processes. In this sense, MES software might present some limitations. While it is possible to identify common functionalities between production (or manufacturing) analytics and MES they are completely different tools used for different jobs. 1_MES - Manufacturing Execution System MES is an information system that leads the execution of manufacturing operations. The goal is always to achieve and maintain high performance. To meet these goals MES is able to perform and complete a group of tasks on the factory floor that are integrated with other systems across the organization: Monitor and enforce…

Continue Reading

My Packaging Plant Already Collects Data. And Now What? Which Questions Should Be Answered?

By Fernando Pacheco, COO at PackIOT The situation described in the title is more common than one can imagine. And if you have come this far, it is likely that you have been facing this challenge in your factory. This problem can occur in several ways (they are not mutually excluding): Your machines are already factory-sensed and deliver general data, but you don't know what to do with it. Your data is stored in the PLC, but nobody could access it in an easy way and/or does not gets insights and information from there (you don't have a front-end tool, in the end). Your plant spends a giant amount of time manually collecting data, but it does not make any decisions. you already have a powerful MES in place, which helps you on a piece of the data journey, but you can't cross these numbers with real production information (actionable data). And after that, of course, these challenges can lead to other difficult situations, usually described by plant managers as below: "I wanted to automate everything. I have the data in different places, but every time we need to put it together, a person needs to sit down,…

Continue Reading

5 Things You Need to Know About the Industry 4.0 Revolution to Kick-Start Your Journey

By Mariana Costa, Marketing Specialist at PackIOT We are now living in an era where computers and automation have come together in a completely new way. More and more the input from human operators is not a key necessity anymore since systems have evolved to be almost entirely independent through machine learning, algorithms and AI.  This change brought by technology is often called the Fourth Industrial Revolution or the Industry 4.0 revolution and it has impacted the way businesses are done ever since. The Industry 4.0 revolution is closing the gap between Information Technology (IT) and Operational Technology (OT). It is a multifaceted revolution made by some key ingredients such as IoT, test automation and digital twins, all of which are essential to combine the physical and virtual worlds. The merging of traditional manufacturing and technological innovation has resulted in fast changes for the industry which is forcing manufacturers to either adapt quickly or fall behind of what has been called the Smart Factory. While there are some challenges in this transition, we can’t ignore the great benefits that come with it -  increased test reliability and efficiency, cost reduction and improved product quality. The first big…

Continue Reading

Women In Manufacturing: Changing The Industry’s Mindset

The jobs in manufacturing are mainly held by men: according to a study by Pew Research Center, in the US women make 40% of the labour force and only 29% work in an industrial field. There are thousands of job places that cannot be filled and it's difficult for manufacturers to hire people for those spots. Women could play an important role in that. This gap needs to be filled, and could actually be filled by females. So how can we convince women to opt for a job position in manufacturing? There is a big number of qualified women in the workforce, so we have to understand careers in the industrial sector, are not that appealing for them. According to a study by Deloitte, women who work in manufacturing feel underrepresented. It is certain that if manufacturers want to have more women working for them, they will certainly need to change their strategy related to recruiting, retaining, and advancing women’s jobs in manufacturing. Nowadays, 6 out of 10 positions are not filled due to a manufacturing skill gap.       WHAT DOES NEED TO CHANGE? 1_DIVERSITY Diversity and profitability are directly correlated. Having teams with a…

Continue Reading

QWERTY Stuck In Time. Gesture, Voice And Brain: The Future Of Controls.

By Eduardo Binotto, Software Engineer/IoT Developer at PackIOT Much is discussed about artificial intelligence, different ways of communication, languages, and manners to provide interaction between machines and human beings. But if we think about it, there is one area that has not progressed that far: the way we type. Patented in 1878, the QWERTY keyboard has been the main input device for computers since the birth of computing, having even been digitized into modern devices like our mobile phones. So, chances are that we will be typing, one way or another, for a long time to come. But, as technology evolves, new ways to interact with systems arise, and it’s important to stay up to date and see what the future may offer in terms of Human-Machine Interactions. Voice control  One of them that has been gathering traction in recent years is the Voice Control. Many computing devices today are capable of understanding speech in a way that they can easily control things with just a simple voice command. Although the hype, a survey showed that 46% of the respondents said that they have never used voice assistants, and another 19% rarely use, revealing that there is…

Continue Reading

5 reasons why your packaging manufacturing factory should not have manual data inputs

Manual data entry is one of the biggest headaches in companies from different sectors. Manually processed tasks are more susceptible to human errors, which interfere directly with the performance of results. That is because inaccurate information hinders leaders in decision-making and can lead to catastrophic actions. In addition to these first points mentioned above, other numerous problems arise when manufacturing companies still use the manual method to collect, input, or store data. That's why our team of experts has created this guide with five reasons why you should not have manual data entry in your plant.  1. Manual data entry can drive to human errors As you might imagine, problem number one is related to human error. A natural feature of human beings is that we are never fully focused. For many reasons, we can be distracted when performing a task, commiting errors that can only be identified later when they have already hindered the progress of activities. And there are several factors that interfere with the probability of "human error" occurring. Either due to the complexity of a job, extensive working hours, excessive pressure from managers, among other reasons that lead the employee to be tired…

Continue Reading
Close Menu