Predictive Maintenance and ERP
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Predictive Maintenance and ERP

In order to for companies, institutions, organizations and businesses to achieve procrastinated stakeholder profit targets as well as customer demands, they rely on human resource and asset (machinery) performance. In fact, increased reliability on capital assets is one way to which these bodies can enhance their ability to deliver on their promises.

A clear understanding of the state of various sectors of the industry is paramount to successful attainment of forecasted development targets. This requires a clear way of predicting any possible threat that can sabotage the realization of these laid objectives. Additionally, they should make sure that they are compliant with the prevailing regulations and standards. This requires a way to predict and improve the maintenance of various sectors of production.

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In fact, the greatest mistake an organization can make is the failure to deliver on its promises, either to the customers or the stakeholders. For instance, stakeholders want to see the organization making positive strides towards greatness with regard to market space. They want their company or organization to cultivate a niche in the competitive market and as a result accruing remarkable benefits to out-compete their competitors.

On the other hand, customer satisfaction influences the realization of stakeholder demands. In other words, if there are no customers for your products or services, then, all your capital investment will be wasted. This results in the collapse of the company or organization.

Consequently, due to the stiff competition and need to deliver on promises every company/ business ought to ensure that they are able to predict and prevent possible threats (machinery and personnel), maintain productivity, adhere to production regulations thus delivering more beneficial results.

Indeed, different companies have realized and embraced the use of technology in predictive maintenance. They are able to move from reactive and preventive maintenance to predictive maintenance. Benefits of this approach in the management of businesses and organizations are irresistible.

Today’s article has been dedicated to assisting you to have an understanding of various features of predictive maintenance in enterprise resource planning (ERP). These features make predictive maintenance the best way to manage businesses and companies in a profitable manner.

What every company requires is predictive maintenance software. In other words, predictive maintenance in ERP involves the use of software to improve on prediction and management.

Having said that let us look at these great features of predictive maintenance. Predictive maintenance software helps a company deliver on its promises through the following ways:

• Improved asset management

Predictive maintenance software enables organizations and companies to record data regarding property and equipment. This includes warranty details, equipment specifications, purchase date, service contracts, spare parts, and the expected lifetime. Through the use of the software, companies/businesses are able to integrate data from different business systems e.g. SAP CRM or SAP E.R.P, with operational data captured from machines.

As it is evident, vast amounts of data have to be processed in real time in order to ensure there is accurate correlation and analysis. Predictive maintenance software makes it possible for different data to be integrated at once enabling transparency in any particular direction.

• Enhanced Scheduling of required activities and services

Through the identification of the extraction of relevant information from a SAP system, e.g. historical service, master data among others analysis is made possible. Importantly, from prediction and analysis findings it is possible to take direct actions. Afterward, the predictive maintenance outcome is transferred into some kind of an 'integrated online system'?.

This makes it possible to tabulate the necessary technician service activities. On the other hand, depending on the information available it is possible to avail the necessary spare parts in the case of machinery information analysis. Furthermore, with regard to production, the analysis findings assist in integrating quality management systems to improve product designs.

Predictive Maintenance and ERP

• Pinpointing of unreliable suppliers, assets, and processes

Through predictive maintenance software, it is possible for a company/ business to identify assets and suppliers that are unreliable. For instance, one an asset as been deemed obsolete it can be dispensed. Concurrently, this plays a significant role in reducing management cost.

The use of the Internet of Things (IoT) in predictive maintenance in conjunction with the appropriate engineers and technicians, sensors, devices, and actuators, make it possible to determine the condition of equipment being used in the production of products.

As a result, the appropriate and real-time maintenance and repair can be performed to improve the production process. In fact, with the appropriate technology, the company is capable of asset reliability as well as enhancing tracing its ability in production.

• Improved customer satisfaction

Customers are the core of any business undertaking. Every company or organization ought to ensure that they focus on customer satisfaction, in order to achieve their profit targets. If a business is not satisfying its customers is means that, there is a possibility of losing those customers to their competitors.

However, through predictive maintenance software, business owners have been able to improve on customer satisfaction. The software makes it possible for the producers to monitors how their products fair in the market compared to their competitors. Additionally, through the internet of things (IoT), it is possible to check out customer opinions with regard to a product or service and improve accordingly.



Through improved asset management, quality services are delivered together with the production of quality products. Once a problem is identified qualified personnel individuals are deployed, the problem is rectified leading to enhanced customer satisfaction. In fact, the predictive software helps in checking the quality of the product with regard to proportions of different ingredients. This enhances product quality.

• Enhanced compliance with Government regulations and standards

In any production line, there are quality standards that must be met to ensure that the products are safe for human use. Instead of risking your products being deemed unhealthy, avoid this through preventive maintenance software. Technological advancement has made it possible for producers to monitor the quality of products based on the prevailing government standards.

Actually, you can avoid compliance risks by obtaining approvals, electronic records as well as signatures depending on different stipulations of the law in your area. Bearing in mind that the market is very competitive; enhanced quality assurance for goods produced increases chances of out-competing competitors.

Irrespective of the sector, predictive maintenance through the Internet of Things (IoT) helps companies deliver on their promises to customers and stakeholders. Through the replacement of preventive and reactive maintenance with predictive maintenance, any company/organization prevents unnecessary breakdowns which turn out to be exorbitant through the repair.

Importantly, companies are capable of improving efficiency with regard to customer service. Customer satisfaction should be the major focus in any business undertaking.
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