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With overseas manufacturing arising, it is important to regularly upgrade machinery to provide goods of high quality to beat international competition.
Dynamoney’s industrial finance for machinery allows you to purchase the newest state-of-the-art equipment to provide your customers products of high value.
Finance for machinery approval requirements are:
To find out about estimated industrial machinery loan repayments based on your unique circumstances, why not try our calculator? Our calculator allows you to easily estimate your repayments when taking out finance with Dynamoney.
Disclaimer: Dynamoney Limited, its agents, employees and accredited lenders will accept no responsibility for any loss that may arise from the information provided in our calculators until such time as a firm offer is made. While we make every attempt to give you the best possible tools and information, the calculators do not include fees & charges.
Industry 4.0 is transforming the way businesses manufacture, improve and distribute their products by integrating enabling smart technologies, like AI for example. Smart factories are equipped with embedded software, robots that collect your data and advanced sensors to allow for better decision making. This technology starts a new level of efficiencies and responsiveness for customers.
While many organisations are in denial about how industry 4.0 can impact their business, others are figuring out the best way to adopt it into their operations. Developing smart factories can provide manufacturers with an incredible opportunity to assist them in delivering tools for completing predictive maintenance to minimise equipment downtime and ensure real-time visibility of assets.
Technologies powering Industry 4.0:
The Internet of Things allows machines to connect to other web-enabled devices through sensors that possess IP addresses. This connectivity makes it possible for large amounts of data to be collected, analysed, and exchanged.
Cloud computing provides an efficient and cost-effective way to process stored and analysed data. Rather than owning computing infrastructure, companies can rent access to anything from a cloud service provider.
AI and machine learning helps create insights in providing visibility, certainty and computerisation of operations and business processes. For example, industrial machines are prone to breaking down. Using data collected via machine learning, these assets can perform predictive maintenance, resulting in higher efficiency.
Edge computing refers to real time production operations. This helps to minimise latency issues from when data is produced to when a response is required. For example, a safety issue may require real-time action to solve the problem, but edge computing brings the data storage closer to the source, improving response times.
Although cyber security isn’t considered important within the manufacturing industry, equipment and processes have the potential to be exposed to malicious attacks and malware.
A digital twin in a virtual replica of processes, production lines, factories, and supply chains. These are created by pulling data from objects connected to the internet. Digital twins help to design new products, improve workflows, and increase productivity.
The industrial sector is one that is constantly updating due to advancements in technologies and staying up to date while running a business is critical. Upgrading equipment can be expensive, especially if it is a regular requirement. Financing your industrial equipment can allow you to access your businesses funds and put it towards upgrading your machines today.