The Ledger
Curated content foranalytical business leaders
Benefits of Real-Time Data in Materials Handling Operations
As manufacturers and distributors take on new automation initiatives, they have access to an enormous amount of data. The trick is figuring out how to use the data in an impactful way that brings immediate value and drives continuous improvement. While warehouse operations will change significantly over the next decade thanks to analytics, there are ways companies can reap the benefits of data right now and improve operations for both the short-term and long-term. By tracking performance in real-time, creating a baseline and using the right platform for analytics, leaders in materials handling can evaluate performance, quantify the value of automation, and create a foundation for more optimization in the future. In the dynamic landscape of warehouse operations, the next decade promises significant transformations driven by analytics. Companies are strategically positioning themselves to capitalize on the evolving technological landscape. By adopting warehouse optimization software, leaders in materials handling can not only enhance their current operations but also build a robust foundation for long-term efficiency. This software acts as a pivotal tool, facilitating the evaluation of performance metrics and providing actionable insights. Through the integration of such platforms, companies can navigate the evolving demands of the industry, ensuring that their warehouse operations are not only optimized for the present but also primed for continuous enhancement in the future.
Track Performance in Real-Time
One metric manufacturers have commonly used to evaluate production machinery is overall equipment effectiveness (OEE). Considered the gold standard for measuring manufacturing productivity, OEE is calculated as a percentage of manufacturing time that is truly productive. OEE analysis and Corrosion Protection Coating Services ensures warehouse operators maximize a company’s investment in its equipment.
A similar metric should be used as a best practice in materials handling. The latest innovations in automation enable access to digitally captured data that didn’t previously exist.
For example, self-driving vehicles can communicate valuable data from their routes and about their loads in order to optimize throughput. This data can feed evaluations and provide insight into material flow efficiencies. By using easy-to-understand, visual charts, facility leaders can quickly get up to speed on vehicle status in real time, ensuring optimal day-to-day performance and maximizing adoption of the new technology.
Start Small and Create a Baseline
To ensure long-term success with new automation solutions and to avoid disruption to daily business, we recommend that companies implement these technologies incrementally. Doing so allows time to test out a new solution, adjust to it, and prove its value before rolling it out on a wider scale.
Rethinking the Utilities Industry With Digital Technologies
“The utilities industry touches every person, household, and business. It provides generation, transmission, distribution, and metering of all forms of energy and water, as well as waste disposal and recycling. It is considered the foundation for modern life.”
It is also considered by many as an industry at risk, as the way consumers perceive and consume resources is changing. It is also an industry that stands much to gain from current and emerging digital technologies. There are three macro forces shaping the industry today: decentralization, deregulation, and decarbonization. With these forces come challenges that utility providers are facing. The answers to these challenges can be found through the right application of digital technologies, a willingness to rethink business operations and revenue models, and the appropriate tools necessary to capture, analyze, and act on the massive amount of data that is available to utilities firms today.
Read More at The Digitalist by SAP >
Is Your Data Valuable?
A digital revolution is upon us and companies are asking the question, “What have we got that is going to allow us to survive this transition?” The answer to that is data. Data has become the oil that fuels the prediction machine in any organization. There is a tendency these days to see all data as potentially valuable for artificial intelligence, but that isn’t really the case. Yes, data, like oil, is used day-to-day to operate your prediction machine. But the data you are sitting on now is likely not that data. Instead, the data you have now, which your company accumulated over time, is the type of data used to build the prediction machine instead of operating it.
Read More at The Harvard Business Review >
Achieving a Flexible and Relevant Budget For Your Organization
Everyone talks about their budgets and the issues that go along with it, but rarely take any action. A new AFP member survey of finance professionals, Is Your Budget Relevant? , found that the majority (55%) of respondents said their company had a rigid or ironclad budget process. This keeps them from being agile in an increasingly flexible world. On the other hand, 30% of respondents said their budgeting was “loose”. An answer to solving this is adopting and budgeting for a rolling forecast. You can’t tell in advance where your customers will be, but it is important to budget for them.
Read More at The Digitalist by SAP >
