JDE Upgrade Blog Series: From IoT to ROI with JD Edwards 9.2


It's challenging to capture and transmit data between devices, systems and individuals/teams to enable real-time, intelligent management processes and decision-making.  


The Internet of Things (IoT) Buzz

If you're an IT or ITSO Director; you follow tech trends, but should you invest time and energy investigating the IoT if your business doesn’t pull data from equipment, machines, personal devices, and so on?

Maybe it doesn’t today, but perhaps it should.



What is IoT and M2M?

The Internet of Things (IoT) and Machine-to-machine (M2M) are almost synonymous—the exception is IoT (the newer term) typically refers to wireless communications, whereas M2M can refer to any two machines—wired or wireless—communicating with one another via networked sensors. These systems work by attaching sensors to collect information such as temperature, geo-positioning, pressure, or vibration. An example would be IoT-equipped vending machines that share their location, inventory and operational status, enabling prioritization of deliveries.  

Using IoT or Machine-to-Machine (M2M) communications can help organizations solve their most cost-critical business problems. Collecting information from machines and devices enables organizations to integrate the data into their enterprise processes to make more intelligent decisions, reduce costs, improve customer service, and create new revenue streams.


How can the IoT impact my company's bottom line?  

Data is useful, but context deepens our understanding of data and makes it actionable. The IoT brings with it not only potentially vast new data sources from sensors on machines, components and devices, but also valuable context that can be used to enhance operations, line of business (LOB) functions, and IT Operations Management.

Consider this, contrary to much of today's media focus on wearable technology and the personalized marketing opportunities it provides, the following industries are ahead of the adoption curve, using IoT technologies to improve efficiency, quality, reliability and safety:


IoT for Manufacturing

A first cousin to industrial, manufacturing is also a leading innovator when it comes to IoT applications, including: smart factories, connected supply chains, quality control, and inventory status – all managed from any device, anywhere:

  • IoT systems collect and transmit data gathered at the factory floor to decision makers.

  • Floor managers can view production line data from any location on tablets and smartphones.

  • In case of a quality control problem, production can be shut down to prevent defects.

  • Maintenance, Repair and Operations (MRO) vendors can use IoT systems to monitor wear and tear of their machines and repair or upgrade them before they cause production issues.


IoT for Utilities

Utilities are at a critical juncture. As the grid ages, maintenance of the grid increases and cyber-attacks intensify; meanwhile customers still expect high-quality service. Utilities must be “plugged in” to every system, component, and device to respond to daily load challenges and prepare for weather and disasters. IoT sourced data provides instant access to information, greater visibility and control of operations, and more efficient use of critical resources.

  • Electric companies – from generation through to transmission and distribution and retail – are investing billions in the IoT technology – an estimated $201 billion through this year.

  • The global number of devices being managed by utility companies is projected to grow from 485 million in 2013 to 1.53 billion in 2020

  • Recent deregulation in many markets has put even more pressure on utilities to manage their costs and remain competitive in the market. IoT is  vital to achieving these aims.


IoT for Healthcare

Once a tech laggard, healthcare is pushing ahead with new, customer-focused processes and the IoT technologies to support them. Some popular uses are mobile medical applications or wearable devices that allow patients to capture their health data. Hospitals use IoT to keep tabs on the location of medical devices, personnel and patients.  IoT is also being used to supplement patient treatment through remote monitoring and communication.


The Solution: JD Edwards and the IoT Advantage

If your enterprise uses JDE for its ERP power, JD Edwards EnterpriseOne Orchestrator Studio and the IoT Orchestrator provide the ‘last mile’ to bring data into your ERP system with ease.  JDE Orchestrator solutions are designed to work with a wide range of IoT applications and data endpoints. Prebuilt JD Edwards EnterpriseOne IoT Orchestrations are now available to address common use cases for the asset-intensive, manufacturing, and agribusiness industries.

Companies can leverage the prebuilt, out-of-the-box orchestrations as models to design and implement custom orchestrations, including:  

  • Add CBM Alert: Processes condition-based maintenance alerts for an asset.  

  • Update Meter Readings: Updates equipment meter readings.  

  • Update Equipment Location: Updates equipment geo-positioning data.  

  • Kanban Check In/Check Out: Processes & transaction

The newest release of JD Edwards (9.2) aims to meet these lofty expectations on multiple fronts by highlighting functionality around mobility, data portability and Internet of Things.  Add to that a 12C in-memory database and you can access as much data as you need, on-demand, from anywhere, for:

  • Improved customer experience. Preventive maintenance, system safety, remote diagnostics, and asset management can be optimized when based on accurate, real-time data.

  • Optimization of business processes/improved operational efficiency. Reduction of the human factor in data collection improves facilities management, safety and security, resource utilization, and maintenance. Real-time visibility into equipment condition reduces the risk of collateral damage and minimizes downtime. Early identification of trends towards out-of-tolerance conditions triggers appropriate corrective actions to prevent failure. Instant awareness of trends means that there is no delay between problem identification and resolution.

  • Making machines intelligent. Getting machines to talk to each other and connecting devices to JD Edwards without third-party dependency enables faster, easier and more accurate data retrieval.

  • Increased intelligence. Real-time data, advanced analytics, and better awareness of usage trends produce additional up-sell and cross-sell opportunities. The combination of smart devices and other IoT technologies allow for high-velocity collection of field data that can be analyzed in real time.