Advanced Planning System (APS)
MSF APS is working in the production environment to observe and plan production changes in real-time like machine status and material details. MSF APS consists of three functions: Real-Time Production Monitoring, Production Auto-Schedule, and Labor Auto-Schedule Functions.. See more
Manufacturing Execution System (MES)
MSF MES has fully integrated into any machine that collects and analyzes all production data with a smart IO card in real-time. The converted and calculated data are shown on Panel PC nearby employee. Smart IO card is capable of any analog or digital sensors data to collect. See more
Business Intelligence (BI) Analytic KPI
MSF BI and analytic KPI reporting solution collects data and refines it to make it easy to observe trends and changes proactively. The form of visual charts and performance indicators can be seen in real-time in order to use the best decision-making process. See more
MSF smart warehousing functions centrally all stocks with AI and Big Data . MSF Smart Warehouse gives manufacturers transparency in material and manufacturing together. Processes in material and production both need to be well integrated. MSF can do all these material and manufacturing transparency needs.. See more
MSF has the labor-management function that manages employees dynamically and flexibly in real-time using hidden capacity. it provides assigning job orders to workstations optimally and planning instant production status changes. The algorithm is deciding the number of employees for the related jobs, automatically to reach maximum capacity. See more
By MSF Quality Management, enterprises have real-time visibility into quality and eliminate the time entering redundant data and logging in and out of disparate systems. It can make reducing scrap, waste, and rework, record every single defect, and enables full traceability. See more
The MSF Maintenance module provides uninterrupted production operations to the calendar in production planning so that production operations are evaluated together. The real-time data from the shop floor are used for predictive and preventive maintenance plans/operations. Downtime reasons are also reported in real-time along with the reasons. See more
More MSF products:
- Material Requirement Plan
- Production auto Scheduling
- Process Flow Digitalization
- MSF ERP Integration
- MSF Smart IO Device
- MSF Touch Screen Industrial Panel
How to make your factory get better with
MSF MES and APS in 90 days?
- Customer Analysis
Analyzing all production processes on the shop floor and departments.
- Get real requirement
Finding real requirements on how to make the learning process.
- Understand team spirit
Understanding between departments and shopfloor.
- Understand process better
Learning production process detailly
- Generate strategic roadmap
Project management approach, a timeline created
- Evaluate current OEE performance
Using MSF key factors to evaluate existing OEE performance
- Evaluate technological infrastructure
What is the needed hardware and software to be installed?
Setting up data communication between all departments and shopfloor
- ERP integration
Setting up the integration of existing ERP
- Managing process
Managing integration and testing to make sure working properly
- Eliminating bottlenecks
solving bottlenecks to better production via test results
- Improving performance
Providing improved performance
- Minimizing waste and loses
Providing minimized waste and loses
- Calculation of ROI
Making calculations before/after the performance
- Optimizing process
Checking and re-adjusting to optimize the process
- Value added activation
Activation of added value MSF functions
- Applying lean principles
Applying process based on lean principles
- Continues improvement
Checking all processes to make sure continuous improvement
- Implementing Big-Data Analytics
Providing implementation calculation of Big-Data Analytics
- Developing new business models
Developing competitive models to better production
APS Frequently Questions
Upgrading to Smart Factory Process with
Advanced Planning System
All data is retrieved from the system and updated in the system. There are no Manuel inputs with a human touch. See more
Digitalization and Digital Strategy
Connection of all assets in a production environment to gather as much information as possible in real-time. See more
Smart Warehouse using Artificial Intelligence-AI and Big Data
Warehousing centrally all stocks in production workstations and goods movement transfer operations with AI and Big Data .. See more
Analytics report and Business Intelligence-BI
MSF virtually creates a digital copy of the real assets of the factory and shows all processes, machines, and devices on reports Business Intelligence (BI) and KPIs. See more
How does Meta Smart Factory work?
The main goal of Meta Smart Factory (MSF) is to ensure effective manufacturing execution operations and improve production outputs with high-tech hardware and software architecture based on IIoT, big data, machine learning, and artificial intelligence.
MSF targets increasing productivity, increasing supply chain profitability, improving quality, lowering costs, decreasing delivery times, improving employee satisfaction/morale, and reducing employee turnover rate by implementing a continuous improvement environment.
Meta Smart Factory Case Studies
To learn more about advanced Meta Smart Factory solutions for challenging industrial manufacturing problems, visit our case studies page.
How To Take Opportunities In 90 Days within MSF Industry 4.0?
The MSF approach is mainly about solving production bottlenecks and getting the best result by using the best solution to ensure the best possible productivity in the production process.
MSF is open-minded to adapt to any workshop planning scenario and its innovative approach makes it very competitive in this area.
First of all, a customer is asked some questions to understand the production process issues and the factory’s intent. MSF works 2 to 4 weeks to make the best scenario for solving problems and to create a simulation demo to present to customer decision makers if the solution can solve production process problems. The scenario prepared is run as a demo and presented to the customer and after accepting the step forward, MSF starts to prepare design of integration.
Secondly, depending on the needs of the customer, MSF steps the implementation phase, which can take 1 month for integration and 2-6 months for MSF modules, depending on the Planning & Scheduling (2-3 months), Warehouse Management (2-3 months) options.
MSF then installs the hardware and software real implementation to start the Implementation Phase for the 90-day use MSF system daily. Before starting this period, all production KPI data is copied for comparation. During this period, MSF is in the contact with customer as much as possible for best integration and best resolution. If necessary, usage feedback or integration problems are resolved by the parties.
At the end of the 90-day implementation period, the customer can see what the difference is between the productivity starting point and the MSF solution. MSF does not need to invest extra in the factory environment, retrieves all the data with its hardware, is processed on the web cloud and displays it in real-time reports. Thus, decision makers can enlighten how to get real productivity figures that will be the best and affordable at a given time.