09 The Biggest Challenges
01
Difficulties in Predicting Product Demand
There are no advanced reporting tools to estimate the number of items that should be sold in the next few months or next year.
02
Managing inventory manually is inefficient and error-prone, which can lead to inaccuracies, shortages and overstocks, as well as unknown losses.
03
Waste of raw materials is an inevitable casualty of any manufacturing production cycle, often due to poor planning or recipe changes.
04
Shortage of skilled labor pools
While automation and robotics can help close the labor gap, humans will still be required to evaluate and solve problems and manage them. Staffing shortages are one of the most serious dangers facing manufacturing today .
05
Production Asset Maintenance Management
The more the business grew, the more problems began to occur. One of the important challenges is ensuring that machinery and production equipment are in good working order and available. That also includes determining your production costs.
06
Business expansion
One of the biggest challenges manufacturing industries face is deciding when to expand the scale of their business. Deciding to expand too early or too late can cause serious damage to the company.
07
Lack of supply chain transparency
Global supply chains change daily, placing a burden on planning and inventory management. If a problem occurs at any stage in a supplier or distributor's facility, it can disrupt the entire production process, production lifecycle, leading to order delays, lost profits profits as well as potential safety risks.
08
This will always be an issue in every stage of business. However, the more a company grows, the more complicated it becomes to increase revenue and sales.
One of the challenges manufacturing industries face when scaling up is considering how to fine-tune production processes to accommodate the increasing number of products produced.
09
In fact, there are always new technologies emerging, including IoT, robotics and manufacturing software..Adapting to technological changes is a challenge in manufacturing.
Manufacturers have been looking for effective solutions to reduce costs and increase efficiency in their operations. These are common problems in the manufacturing industry.
MES Trend and New Technology
Evolution of MES standards
Opportunity and context
Cloud connectivity is the backbone of smart factories, allowing advanced manufacturing systems, equipment, products and devices to interact autonomously. IIoT (Industrial Internet of Things) devices and sensors across the supply chain continuously collect and generate data. This real-time data sharing helps smart factories continuously improve their operations - better automate workflows, customize products and services, and grow smarter and more effective over time.
Artificial intelligence (AI) can improve manufacturing efficiency, handle predictive maintenance and reduce waste. Harnessing machine learning, production lines can become increasingly intelligent and efficient. With virtual reality (VR), manufacturers can simulate processes and identify potential improvements. And they can integrate augmented reality (AR) solutions to reduce production downtime and optimize shop floor operations.
What is the MES Smartbiz system?
MES Manufacturing Execution System
MES (Manufacturing Execution System) connects, tracks, monitors, stores and controls the production process of goods from Raw Materials to Finished Products to help decision makers get data to optimize production processes. operations, production processes and making the factory run more efficiently.
Easily integrate : and manage connections with external systems such as SmartBiz ERP, BigData, BI, AI, IIoT, API...
Flexible expansion : with modular architecture allows customization of current applications and easy development of new applications as required.
Deployment Options : Cloud-Based or On-Premises Solutions.
Model manufacturing : a flexible process.
Benefits that Manufacturers can expect
Reduce decision -making time
Reduce decision-making time by 80% due to improved manufacturing visibility.
Increase overall
efficiency
Improve overall performance by 15% to 20%.
Reduced costs, stable quality
Reduce costs from 10% to 20%, product quality is more stable.
Reduce fee and time for equipment
Reduce equipment costs by 50% and increase uptime by 30% when equipment is in operation.
Features of MES System
The MES Production Management System collects and provides real-time information regardless of location from the production process. Monitor the status of resources, product progress; Monitor and automate production activities based on barcode scanners and IoT system integration; Quality Management and Equipment Maintenance.
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MES Manufacturing System Features
Monitor the status of resources
Track and analyze the status of resources, including machinery, materials, and labor, based on real-time data to make allocation adjustments.
Detailed activities/scheduling
Optimize performance by scheduling, timing, and sequencing activities based on priority and resource availability.
Mobilize production department
Manage real-time production data streams to easily make quick, calculated adjustments in production dispatching.
Data
Monitor and collect real-time data on processes, materials, and operations, and use that data to make better decisions and increase efficiency.
Quality management
Track deviations and quality defects to improve quality control management and documentation.
Process management
Manage the entire production process from order issuance to finished product. Gain insight into bottlenecks and quality impact points while creating full production traceability.
Manage maintenance of production assets
Use data from MES to identify potential equipment problems before they occur and adjust maintenance schedules for equipment, tools, and machinery to reduce downtime and increase efficiency.
Track the progress of your products to make informed decisions. Having data on a product's complete history helps manufacturers comply with industry or standard regulations.
Performance analysis
Compare results and goals to identify strengths and weaknesses in the overall process and use that data to make the system more efficient.
Control documents and versions
Manage and distribute documents including work instructions, drawings, standard operating procedures, batch records... so they are accessible and editable.
