LNS Research is thrilled to launch the first Analytics That Matter survey in partnership with MESA (Manufacturing Enterprise Solutions Association) International. For the last six years we partnered with MESA on the Metrics That Matter survey, which has been one important foundational element of LNS Research’s primary data-driven research. As the use of plant-centric data has expanded dramatically since the last survey in early 2016, we decided to change the focus from overall metrics to the use of analytics in manufacturing operations and beyond.Read More
Tags: Metrics, Manufacturing Operations Management (MOM), Big Data, Benchmarking, Overall Equipment Effectiveness (OEE), Mobile / Mobility, Manufacturing Execution System (MES), Industrial Internet of Things (IIoT), Asset Reliability, Digital Transformation, Industry 4.0 / Smart Manufacturing, Artificial Intelligence / Machine Learning (AI/ML), Asset Performance Management (APM)
Customer Complaint volume is an important metric for measuring customers’ experience and perceived product quality. In fact, it is one of the most widely tracked quality metrics in executive dashboards.Read More
Samsung Plans on $7.47B Manufacturing Increase
Looking toward the future, Samsung has plans to spend $7.47 billion on the manufacturing of a flexible display screen for phones. The flexible screen, organic light emitting diode (OLED), will be manufactured to bend to the design of the specific device, including Apple devices.Read More
With today’s global economy only becoming more competitive, it’s no surprise that everybody in the manufacturing environment is talking about continuous improvement. Proven leaders understand that if you’re not moving forward, making year-over-year gains in key performance indicators (KPIs) and metrics, then you’re destined to face some serious challenges down the road.
The ability to manage growth, innovation, and cost alongside the ever-growing complexity of regulations can mean the difference between sinking and swimming in life sciences. There’s little, if any, room for failure. As a consequence, regardless of the subvertical – blood and biologics, medical devices, pharmaceutical manufacturing, or biotechnology – one metric that should be on every executive’s quality dashboard is products in compliance (PiC).
When discussing quality management strategies, it's important to note the differences between small and large organizations. Often, the size of a company will greatly impact its focus points, challenges, and approaches in regard to ensuring the quality of products and processes. Interestingly, there can even be significant differences and similarities between company sizes within the same industry.
Last month, we launched our inaugural Industrial Energy Management (IEM) survey. In that short period of time, it’s been taken by over 100 executives and leaders in charge of making energy and sustainability-related decisions in their organization. Through the survey responses, we’ve been collecting benchmark data on a number of people, process, technology, and metrics-related questions.
The quality management space is a very fluid one. As a testament to that, in a short period of time we’ve seen considerable changes in strategies around people and leadership, orchestrating business processes across the value chain, and enterprise IT architecture. One concept that’s been there the whole time, though, is that the earlier you can build quality into your products and processes the better.
An unfortunate reality in many quality management strategies is the lack of harmony in IT decisions across the enterprise. In the 2012-2013 LNS Research Quality Management Survey, 47% of executives said that a top challenge was having too many disparate quality systems and data sources. As a result, a roadblock to success that most large and distributed companies experience resides in the mountains of unstandardized quality process data that’s never fully leveraged.