How finance professionals play a key role on digital transformation in manufacturing

A worldwide survey by KPMG carried out in partnership with Forbes, entitled"Digital Transformation", pointed out that 79% of 261 CFOs had already started the digital transformation procedure in the companies they lead. The poll also showed that this movement has opened the way for the introduction of more advanced emerging technology such as large data, computer vision, and machine learning. These capacities can provide information and help companies respond more efficiently to business fluctuations. The intelligent automation provides professionals with the essential information-gathering tools for decision making and enables them to concentrate more on approach. "What we've seen, lately, is that this procedure has also been intensified in the finance function in the other organizations due to the urgent need for automation which has arisen in the face of the challenges imposed by the social distancing determined as a health measure to fight Covid-19", points KPMG. In our daily dealings with factories in a variety of areas of the planet, we've seen many fund managers who are more open to electronic transformation. The covid-19 pandemic has accelerated this process, sometimes in a tumultuous manner. But we believe it is a road with no turning back. Contracts are…

Continue Reading How finance professionals play a key role on digital transformation in manufacturing

When Is The Best Time To Integrate an ERP With Your Production Analytics Software?

By Fernando Pacheco, COO at PackIOT We have constantly been talking about how digital transformation in the industry should start with baby steps or pilot projects (or MVP, if you are already familiar with this concept). Manufacturing plants around the world have been looking for production optimization and Industry 4.0 solutions, and there is always one question on top of the decision tables: when is the best time to integrate an ERP with your production analytics software? We will explore this topic throughout this article but one thing is already clear: ideally, you should not integrate any new software with ERP from the start. Example: Are you implementing a MES or an IoT system? The first step is to make sure the roll-out will be a success. After, you can focus on the other integrations. 1_Each thing is a unique thing: ERP Enterprise Resource Planning is an information system that links all the data and processes of an organization into a single system. The interconnection can be seen from the functional perspective (finance, accounting, human resources, manufacturing, marketing, sales, purchasing, etc.) and from the systemic perspective (transaction processing system, management information systems, decision support systems, etc.). ERP is…

Continue Reading When Is The Best Time To Integrate an ERP With Your Production Analytics Software?

Real-Time in Packaging: The 4 Main Advantages For Tube Manufacturers

By Mariana Costa, Marketing Specialist at PackIOT If the idea of having pilots, air traffic controllers or managers relying on data collected hours ago is utterly scary to us. So, what makes us think that it is actually a viable solution to apply the same strategy to a tube manufacturing company? I know what you’re thinking… “such a dramatic example!”. Well, it is…. But it might be what is exactly needed to understand the importance of real-time data monitoring vs data collected on paper and excel spreadsheets. Tube manufacturing plants that don’t adopt real-time data are always one step behind of fixing their problems or even of finding out they have one. https://www.youtube.com/watch?v=PQ3FZwdONic   This is what your tube manufacturing business can get with real-time data: 1_Better people management By monitoring the systems it is possible to obtain immediate information regarding the distribution of employees in the different sectors of the company. At the same time, updated information on their availability is also given. No doubt about it… this makes everything a lot easier when thinking about how to manage a team and how to optimize the work of employees towards higher collective income. 2_Identify business opportunities…

Continue Reading Real-Time in Packaging: The 4 Main Advantages For Tube Manufacturers

How Lean 4.0 Can Help Leverage Efficiency On Your Shop Floor

By Mariana Costa, Marketing Specialist at PackIOT Lean manufacturing or lean production is a methodology already accepted in the industrial context. It concerns a strict approach to the integration of humans in the manufacturing process through the continuous improvement and focus on activities that add value while eliminating waste. On the other hand, we already know about Industry 4.0 and how it has been emerging in the manufacturing sector. What we usually call 4.0 technologies allow the creation of smart networks of machines, products, components, individuals and ICT systems in the entire value chain to have an intelligent factory. What is the value of lean methodology for manufacturers? It helps manufacturers reduce operational complexity, eliminate waste and drive productivity improvements by empowering workers on the shop floor. The human element is a key principle of lean manufacturing because human analysis and flexibility produces the majority of the efficiency from these principles. When we think about the types of waste considered in this methodology we can find eight: transportation, inventory, motion, waiting time, overproduction, over processing, defects and unutilized talent.  We can look at Industry 4.0 as the technology enabler and for lean manufacturing as the cultural application…

Continue Reading How Lean 4.0 Can Help Leverage Efficiency On Your Shop Floor

Covid-19 Pandemic Drives Manufacturers to adopt a Digital Transformation Strategy

By Mariana Costa, Marketing Specialist at PackIOT A study done by SYSPRO, a global provider of ERP software, is telling us that the covid-19 pandemic is accelerating the need for digital transformation among manufacturers. The study is called “The Inflection Point for the Factory of the Future” and you can find the report here. The survey was completed by 144 respondents at different managerial levels across different regions: USA, Canada, Europe, the Middle East, Africa and Asia-Pacific region. It gives us an overview into how manufacturers and distributors handled the shift caused by the pandemic. These actors have seen, overtime, an increased need for collaboration, supply chain disruptions and emerging trends to keep up with. Sounds interesting! Some key finding that are particularly interesting to look at: 47% OF BUSINESSES WERE UNABLE TO FUNCTION DUE TO OPERATIONAL STAFF RELIANCE ON-PREMISE. This comes to show us how unprepared the industry professionals were for a scenario where most of the workforce would have to work remote. Well, a pandemic came, unannounced and not a lot could be done to prevent it. The global lockdowns saw the rise of remote workforce and 47% of the businesses were not ready... the…

Continue Reading Covid-19 Pandemic Drives Manufacturers to adopt a Digital Transformation Strategy

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

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

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 Deploying Industrial Analytics from Scratch (by Kudzai Manditereza)

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 How AI Drives Sustainability In The Packaging Industry?

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