Intelligent Automation: The Future In Manufacturing

Written by Leonor Rocha | Customer Success at PackIOT Everything moves so fast that, if we needed to wait for someone to process high amounts of information that are generated every hour, it would take ages to come to a concrete conclusion. Intelligent automation and other technological processes were created with a purpose: simplify processes of data analysis. We live in a fast-paced world, with a natural tendency to become faster and faster as technology evolves. Even though many might still believe it came to replace us, one thing is for sure, technology was certainly designed to simplify our lives and change them for the better. In the industrial sector, it is often regarded as an invention conceived to take over the jobs of people who work in the field. I personally prefer to see it as an assistant tool conceived to work along with humans. It contributes to strengthening our intelligence and helps us to limit our exposure to intensive and monotonous activities that no one enjoys, but which are a necessity to forge ahead. Intelligent automation has as a core benefit, the capacity to improve the efficiency of certain processes, which are often unachievable by…

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15 Essential KPIs And Metrics For Packaging Manufacturers

Every day, plant managers and executives are constantly receiving tons of information about the production of their factories, making it difficult to analyze everything and decide which metrics are the ones that make more sense to be used in their business. Manufacturing metrics and KPIs help you, monitor, analyze, and consequently, optimize your production processes, contributing to an improvement of the quality and quantity of the produced goods. They provide valuable insights that will help you meet your goals. To know which ones are the most useful for your enterprise, take a look at the fifteen metrics we selected. This blog post is part of an Online Free Guide, with more details about all those KPIs. Download now for free.  01. Throughput This metric is the rate of how many units are produced on average, by a machine, cell or line over a certain period. 02. Manufacturing Cycle Time Also known as throughput time, this metric consists of the length of time from the start of the production to the delivery of the final product. 03. Machine Setup Time (Changeover) Time spent on setting up a machine or a production line, with the specifications of the new…

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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…

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How to use Excel to run a production dashboard at your factory?

How do I craft a production dashboard in my plant using Microsoft Excel? Let's start from the very beginning. In another article, we told you about the pitfalls of managing your entire factory using excel. It happens that many companies want to start their digital transformation and need to start internally, with a pilot project, and then hire an appropriate tool. Digital Maturity in the Packaging Industry Benchmarking Report: Download it now for free! Our Chief Data Officer, Eduardo Weingartner, has shot a video on the subject. On it, you will see how to use your machine data to create a production analysis dashboard. https://www.youtube.com/watch?v=PKwnFykf_AE&feature=youtu.be To complement this, Eduardo mentions some tools that can be integrated into the dashboard in Excel. When to subscribe to a production analytics software? First of all, nice question! Excel has very sensitive limitations (like Human error/data reliability, Data availability/information flow, Dashboards, and views / Important data can be hidden) and at some point, you will no longer be able to get relevant insights. This will impair your decision making for operational efficiency and cost reduction. Three of the main times to look for a professional solution are when you need more…

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What is PackML and how can it help packaging companies and OEMs?

When I first heard about PackML, I understood it as a set of states and concepts to model how machines present themselves and behave, and thus, helping different machines from diverse OEMs to easily integrate and work together as a single line. Digital Maturity in the Packaging Industry Benchmarking Report: Download it now for free! But as I started to dive deeper into it, I can now say that PackML is much more than a definition for communication between machines and software. PackML Interface State Model - Source: OMAC What is PackML? So what is PackML then? PackML is short for Packaging Machine Language and it is an industry-standard for the control and monitoring of packaging machines as an area of OT - Operational Technology and industrial automation. From the 3 main categories that comprise the Manufacturing Automation Industry: Continuous, Batch, and Discrete control, PackML focuses on the last 2 and although it was primarily created for the packaging industry, its definition is valid for any discrete process.  It was created by OMAC  Organization for Machine Automation and Control in conjunction with the International Society of Automation (ISA). Both entities were working on separate definitions until it…

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Is it possible to hire a remote service from a software consulting company?

Hi, I hope you are doing well. Maybe you remember that another time we've talked about some traps to avoid when building your own production metrics system. As a helpful content blog (that's our main goal), we want to talk about other situations that you might face when trying to get more insights from your factory data: how to hire a software company? Or, more specifically, how to hire a remote software company? In 2017, an International Labor Organization study entitled "Working anytime, anywhere: The effects on the world of work" brought interesting data on remote work and how this model is changing the format for hiring companies, professionals and project teams. This study shows that in the US, 37 percent of all workers report that they "teleworked" in 2015, which rose slightly from 30 percent during the previous decade. This proportion is four times higher than 9% of workers who did so in 1995 (Gallup, 2014; Gallup, 2016). This guide wants to help you to be aware of different parts of the buying process, starting from the searching and finishing with the project deployment. What is a remote software company, in this context? We will consider…

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What is the main relation between productivity and data management

Post Written by InfraSpeak Team.  We live in the age of Industry 4.0, the world of Big Data and Internet of Things. This means that generated and well-managed data are at the "pinnacle" of importance for companies and their workers. Its purpose lies in optimal performance and an increase in productivity. Let’s dive into the reasons that justify these theories. Why data matters? Firstly, for data to really matters, you’ll need to generate from the right source. It's pretty simple: if you gather data to be analyzed on a specific situation that is not applicable, the results won’t be adequate. So, for a boost in productivity, you need to capitalize on generating suitable data. The next step to upgrade your performance will be focusing on managing your data. Gathering all the data in the world won’t help you unless you manage it accordingly. Analyzing big data is just a super-enhanced way of traditional data study, which processes information coming from a huge number of sources thanks to the connectivity allowed by IoT. This IoT technology grants higher efficiency and quick processing. In enterprises, lack of information or data can lead to poor performance, non-motivated employees and mediocre…

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The biggest problems in running your factory with Excel

We don't need to explain that much right? If you are here, you might know a lot about this important tool. While you are reading this text, millions of people are using Excel right now.  Microsoft Excel is a spreadsheet developed by Microsoft for Windows, macOS, Android, and iOS. It features calculation, graphing tools, pivot tables, and a macro programming language called Visual Basic for Applications. It has been a very widely applied spreadsheet for these platforms, especially since version 5 in 1993, and it has replaced Lotus 1-2-3 as the industry standard for spreadsheets. Excel forms part of the Microsoft Office suite of software. Digital Maturity in the Packaging Industry Benchmarking Report: Download it now for free! Among its important use cases, one of them is to help factory managers to collect and manage data on a daily basis. It's been an important tool for the past decades, but some issues can be perceived as companies have new demands on their management environment. On this matter, we bring to you the biggest problems running your factory with Excel. Human error/data reliability First of all, this is the most common issue in Excel. In the reliable part…

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The four core technologies that drive digital transformation

Based on the Chapter 3 of the book: “Digital Transformation: Survive and Thrive in an era of Mass Extinction” by Thomas Siebel By Mario Ishikawa, CTO of PackIOT In his recently published book “Digital Transformation: Survive and Thrive in an era of Mass Extinction”, Thomas Siebel, Founder, and CEO of C3 IoT addresses the fact that the moment we are living now is unique. Digital transformation, or the Fourth Industrial Revolution, is bringing massive changes to how we live as a society, and especially for companies, it is a moment to thrive or die. Digital Maturity in the Packaging Industry Benchmarking Report: Download it now for free! CEO’s are playing a core role in this process. Digital transformation in a company is started and supported by the CEO, in contrast to earlier technology adoptions on enterprise, usually led by IT and Engineering teams. By going to the very core of the organization, digital transformation requires the CEO to understand the fundamentals of his business. If you are a car manufacturer, is your business fundamentally about making cars or is it about delivering transportation and mobility? Once the importance is understood, then comes the digital transformation plan, and the…

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How a packaging manufacturer increased $144k in factory capacity?

Where will we allocate the retrofit budget for our machines? This question had been asked over and over, every year by one of our customers, a major player in the packaging industry. Imagine the situation and even try to remember if it happens in your company: the CFO gathers 4 or 5 managers and launches this question in the room, projecting the budget for the following year. The industrial director made the same challenge with his factory management. And that's where the "opinion fight" begins. (We like to say that without data, you are just another person with an opinion). Each one brings his/her side, wanting the best for his/her line. But no one can prove why retrofit money should be allocated to a particular machine, since downtime and scrap data are difficult to gather without a proper system. So, did you identify yourself within the situation? In the past, the company used solve this situation in an unsatisfactory way: CFO, CEO and Industrial Director ended up dividing the retrofit budget into equal parts. This ends up not being an effective strategy, not even measurable in the medium term of the plant but at least it made everyone in the…

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