February 1, 2022 | Digital Marketing, Digital Solutions
Manufacturing Execution System (MES) is a software solution ensuring quality and efficiency are built into the manufacturing process and are proactively and analytically applied. MES connects multiple plants, sites, and vendors’ live product information and integrates easily with equipment, controllers, and enterprise business applications. The result of this is complete visibility, control, and manufacturing optimization of products and processes across the enterprise.
The manufacturing Execution System (MES) is also the future of marketing as it simplifies a lot of work, saves time, and helps cut costs. It also helps in carbon footprint by eradicating paper, notes, and files.
Achieving goals through MES implementation:
A robust MES model supports a broad diversity of manufacturing industries and processes. MES supports all simple to complex process workflows, high volume automated data collection, make-to-order, discrete assembly, batch process, rolled products, and more.
MES is being used across industries and is seen in discrete, batch, and continuous process manufacturing industries, including semiconductor, electronics, medical device, automotive, aerospace, pharmaceutical, metals, plastic, and more. MES can be configured adapting to users’ business without custom code, having an open SOA architecture designed to integrate enterprise applications and shop floor automation. MES sure is the future of manufacturing.
Manufacturing Execution System (MES) provides numerous long and short-term benefits, including more rapid time to volume, improved yields, lower operating costs, increased compliance.
Some additional benefits are:
Using MES helps record various costs like labor, scrap, downtime, and maintenance in real-time becomes easy, and thus the need for journals or paper notes is eliminated. Eradication of paper notes also means that management can use this data to evaluate unprofitable business models and forecast future pricing. MES also enables an increase in productivity in production facilities.
MES has another great quality of integrating with surrounding systems. This eliminates the need for standalone systems, mindless data re-entries, and also provides better information on order delivery dates, and improves decision making.
MES allows a thorough analysis of production lines and finished products, and thus, it becomes easy to detect inconsistencies on the shop floor and immediately halt them to limit the number of bad parts and wasted materials.
MES helps create realistic schedules and track raw materials and part inventories. This eliminates time bring wasted from re-configuring schedules when parts are in transit. Then employee scheduling and effective use of resources become possible.
Streamlining operations after better handling product, time, and labor required to complete the job is possible. This enables you to cut back on ordering and free up personnel from operating the production line and controlling inventory.
Storing and keeping track of access goods, transporting warehousing, and monitoring of extra inventory. MES constantly updates inventory records with new production, materials, and product. Meaning the shipping, purchasing, and scheduling departments know availability on hand at each facility and what needs to be ordered.
These are various benefits of the Manufacturing Execution System. It is a cloud-based solution, and thus Microsoft Azure cloud services can be used to deploy this solution.
Bitscape is one of the top Custom Manufacturing Software Development companies providing cloud-based solutions and services. We have cloud experts that have gained expertise in various aspects of cloud and customization.
We provide such Microsoft Cloud Computing Solutions regarding the digitalization of manufacturing operations. We aim to take the manufacturing process on-premises and ease the workload as cloud deployment makes the digitization of the manufacturing process easy to adapt and simple to use. It also benefits the organizations as it is integrated with AI, Machine Learning, and Robotic Automation processes. These technologies facilitate the phenomena of automation and quick identification of any errors that happen to occur in between the process.