Transforming The Way You Sell Machines.

Big data and manufacturing go hand in hand, because so much of what goes on in a manufacturing business is measurable and able to be optimized. Data streams are increasing in size, relevance, and number as manufacturers flock to the powerful capabilities, predictions, and insights data can unlock for their businesses. Why Is Collecting Data So Important For Manufacturers? In a word: visibility. Manufacturers are able to measure and see many aspects of their business only...

The Adoption of Big Data Analytics in Manufacturing The term “big data” refers to increasingly complex, massive data stores that can’t be effectively processed using traditional methods. In manufacturing, big data can refer to information collected from a variety of sources including machine sensor data, quality assurance information, data from suppliers, production output, maintenance, financial information, and basically any other measurable process that goes into modern...

In the wake of the COVID-19 pandemic, manufacturing is roaring back to life and with it comes a renewed focus on Digital Transformation initiatives. The industry stands on the doorstep of its much anticipated renaissance, and it’s clear that manufacturing leaders need to not only embrace but to accelerate innovation while managing critical processes like increasing capacity while maintaining product quality. Effective collaboration will be key to doing both well; but it’s...

One of the greatest struggles for any manufacturer is knowing what is actually happening on the shop floor. To overcome this struggle manufacturers are using OEE Software to collect the critical data that gives department heads, supervisors, and operators real-time information about shop-floor activities, enabling them to make faster, more confident production decisions. If the objective of implementing a production monitoring software is to understand current performance,...

Why is Efficiency Important for Manufacturers? Improving production efficiency in manufacturing is a key tenet of the industry. Leveraging lean strategies to drive down the costs of production while retaining quality and increasing throughput are a constant challenge. However, with a mindset of continuous improvement, manufacturers see this more as an opportunity than a problem. After all, manufacturers can only be so efficient, and as long as they are beating out...

The days of on-premise everything are gone, and many people in the manufacturing world are glad to bid them adieu. Today, Software-as-a-Service (SaaS) dominates the manufacturing technology landscape, and for good reason. SaaS offers a host of benefits to manufacturers who fully utilize its capabilities while freeing up in-house resources for other tasks. In today’s market where customer expectations surrounding both product and delivery are becoming increasingly complex,...

What is Quality Assurance? Quality assurance, or QA, in the context of manufacturing, refers to the processes manufacturers utilize as part of a quality management system to maintain consistent, expected quality levels on the items they produce. Often paired with quality control, or QC, quality assurance is part of the ecosystem that ensures customers receive quality products devoid of unexpected defects. Quality assurance is the way that manufacturers manage product quality...

Introduction All MachineMetrics customers have the opportunity to participate in our benchmarking program at no additional cost, which allows them to compare their own factory’s utilization against industry norms. Since we have a statistically significant sample size (+- 1.8% margin of error as of today), customers find this to be a reliable indicator when evaluating their own company’s performance not just against their own internal goals, but also relative to industry...

What is a Digital Factory? A digital factory uses technology to automatically share information digitally across the operation, including data from materials, people, and machines. Digital manufacturing relies on an integrated system consisting of simulation technologies, connected equipment, and collaboration tools. There is no single technology that turns an analog factory into a digital factory. However, there are many common technologies and traits that digital factories...

Introduction As our daily utilization updates gain steam and receive more attention, we feel it’s important as data stewards to clarify our assumptions, any sources of bias we may have, and our margins of error in order for organizations to make the most informed decisions from our numbers. Like with any dataset, our data contains bias, and therefore we attach a margin of error to any of our reported metrics. It is important as data practitioners to be transparent about...