For downtime tracking, the process is well suited to tracking the operation of an entire process or plant; it is not suited to tracking individual equipment reliability. For inventory management, it is suited to tracking either bulk or discrete production, as its concepts are quite general. The Metrics engine is suited to smaller deployments; larger deployments would do better to extract and warehouse the raw data for external analysis and reporting.
We found its Data processing marvelous, and its benefit to accomplish chores in time gives us high authenticity and availability to the data deposit with accelerated admittance. One thing I will say that try to make it more user-friendly as it is difficult to learn. We liked it overall; Working is very good.
IBM needs to add more focus on simplifying mainframe usage and management.
Most modern programmers interface with the Z using an IDE. However, performing many tasks, such as cataloging a data set or checking on a job status, can require switching to the ISPF interface. Users want to interface with a GUI, not a function-key, menu and character-based interface like ISPF. Anything that can simplify and modernize interfacing with the mainframe should be a high priority for IBM.
The IBM Z platform is one of the most instrumented computing platforms in the world, so there are a lot of metrics that could be automatically analyzed and used to improve the performance and management of the mainframe environment.
The IBM Z mainframe capabilities are unmatched for cloud readiness and optimization the learning capabilities are matched perfectly with Watson and the expandability of the cloud makes it a perfect choice.
Performance is a major part when you configure your system. IBM has many tools to study your system and suggest the appropriate configuration. With the right contract, you can add processing power dynamically and remove it when no longer needed
Support is usually superb, only occasionally dropping to very good. We participate in some of the CD (Continuous Delivery) aspects of z/OS, IMS, MQ, and DB2.
We evaluate a number of inventory management products; however, none provided the full pit-to-port coverage. There were only AVEVA Manufacturing Execution, powered by Ampla, and ION Qmastor. AVEVA Manufacturing Execution, powered by Ampla, provided a simpler interface, while the QMastor product seemed to be a collection of applications. There were other products evaluated, but they were not yet mature and proven.
My answer is yes. This made moving to the cloud much easier. The main benefits of this are latency and data extraction. The speed, security and reliability is the game changer and where it stacks up when compared to other IBM products. Additionally, increasing the workload is also very helpful. Use a single platform to avoid unnecessary activities and actions, help maintain safety, and even recover quickly. Activities that users are unable to continue and complete tasks help avoid mistakes when there are errors related to And because it's perfect for your users, it has less impact on your business. Always ready for backup. I didn't even care about the migrations that were performed.
If you need more processing power, just add more CPU's or memory. The largest system can have close to 200 CPU's and 40 TB of memory. If that is not enough, you can add more physical computers, and connect them using a sysplex
Downtime classification has made sense of plant reliability data; whereas, before it was unstructured and could not be used for analysis
Production tracking and reporting. This solution is providing a unified, common source of production tracking for all departments, stored in a database rather than spreadsheets. A single source of truth ensures all data aligns and matches.
KPIs are providing a measurable indicator of performance against company-defined targets.
