Industrial IOT and siemens MES MOM solutions
In this post we are going to talk about how the IOT will transform the future of manufacturing execution systems integrating perfectly into the ecosystem SIEMENS TIA , and especially the future of these applications and the solutions that SIEMENS offers us for integrate all levels of industrial production.
Before we would like to talk briefly about the ISA 95 classification, to better contextualise the future of these applications of which SIEMENS is one of the main pioneers SIEMENS offers an ecosystem of applications that become the perfect and personalized system to access all the information of real-time processes, such as SIMATIC IT that perfectly concentrates all the applications required for the applications of the higher levels of this classification.
At the beginning of the 90s of the last century the ISA (International Society of Automation) developed an international standard that aims to facilitate integration of business functions and control systems in productive companies.
The ISA 95 standard defines hierarchies that allow the integration of the industry with the different control systems and cloud applications. Basically, these are the Levels of ISA 95, in Maval we are experts in the development of projects that conform to any of those levels ISA 95
Automation is the first thing we think about when we think about an industrial project, all the hardware of the industry itself. The interaction between the physical part with the most basic control systems PLCs, control of electrical devices and control.
2: HMI human interfaces
The second level corresponds to the interaction of people with the rest of the elements of the plant, mainly with two methods, the HMI or operator monitors that control a certain part of the process and the SCADA systems, computer applications designed specifically to monitor and manage any aspect of industrial plants.
3: Compilation of information and interaction of the manufacturing processes with the management level.
At this level, all the plant information is collected and then processed at the 4 level defined by ISA 95. It is at these levels where more progress is being made when generating computer solutions focused on the holistic management of the entire manufacturing process tailored to any industrial project.
At this level, we can define three well-differentiated components in which we can see different ways of collecting and processing data according to the industrial process.
The historical software is a database where all the information received from the plant is collected, this information is defined by the plant’s engineers who define everything necessary to have full control of the manufacturing processes.
Bach, is a system that collects information for batch production processes, this type of industry consists of the creation of continuous goods (for example, animal food) that vary, for example, with different flavours or colours.
TThe mes is the set of applications between the level that manages the business intelligence that would coincide with level 4 of isa 95 and the human interface level. It is the union between the intelligence of the company (BI). It is important this interaction be as agile as possible and allow management in real time, to manage the production flow.
4: Business intelligence applied to manufacturing.
In the last level would be the purely economic, accounting and marketing programs. Among the tools in this part, we have the ERP, programs that manage inventories, billing, accounting and logistics. The current trend is the development of tools that allow having a global vision of all the processes of the industry.
Another very important aspect at this level is the integration of marketing processes with the development and implementation of CRM. and at a higher level, we have what is known as BI (business intelligence) where all the relevant information is processed.
Where the production management systems will be located MES/MOMWhere the production management systems will be located
Two acronyms are used to define automation and production control systems; MES (Manufacturing Execution System), which was the first to be coined and is more widespread and MOM (Manufacturing Operations Management) that arises from the need to include, in addition to the functions of the MES, the control in the planning and sequencing systems of the production, quality management, laboratory and industrial R & D.
Strictly speaking we would use these terms MOM and MES related to level 3 of architecture and functionality, however, a certain space opens up in the interrelation with other levels Isa like 4, due to the gradual development of integrations PLM integrated within cloud applications.
The portfolio of Siemens MOM allows the industry to implement the strategy and the first steps towards the complete digitalization of manufacturing operations, through the following IT solutions.
SIEMENS Provides comprehensive applications of MOM with a rich ecosystem of specific functionalities for different industrial sectors. This highly scalable platform offers multiple capabilities and allows industrial companies to combine production efficiency with high quality and visibility to reduce production time.
Siemens MOM allows industrial companies to implement the strategy and facilitate the total digitalization of manufacturing operations, through these solutions:
– SIMATIC IT – Manufacturing Execution System (MES)
– SIMATIC IT – R & D
– SIMATIC IT – Manufacturing Intelligence
– SIMATIC IT – Advanced planning and programming.
– Camstar – MES for the medical device and semiconductor industries
– QMS – Quality Management System.
Siemens industrial IOT
To complete the total integration of all processes, we must have a system that allows the integration in the cloud of all the applications of each level and even be able to perform virtual simulations and control the automation of machines that have a more rudimentary system.
MMindSphere is the open operating system Siemens IOT based on the cloud, the objective is to connect your products, plants, systems and machines, which allows you to take advantage of a large amount of data generated in (IoT) with advanced analytics and a fully agile handling of industrial Big Data.
The total integration of all levels of the industry through cloud solutions is undoubtedly the tendency to take full advantage of the industrial Bigdata and business intelligence in order to improve productivity in an increasingly demanding world.