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.
MSF MES has fully integrated into any machine that collects and analyzes all production data with a smart IO card in real-time.
MSF BI and analytic KPI reporting solution collects data and refines it to make it easy to observe trends and changes proactively.
MSF smart warehousing functions centrally all stocks with AI and Big Data . MSF Smart Warehouse gives manufacturers transparency in material and manufacturing together.
MSF has the labor-management function that manages employees dynamically and flexibly in real-time using hidden capacity.
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.
Advanced Planning and Scheduling (APS) is a digital solution that helps manufacturers to manage production planning and shop floor scheduling. Using advanced algorithms to balance demand and capacity and generate achievable production schedules, Advanced Planning and Scheduling (APS) function results in shorter delivery times to meet customer demands and easier, more rapid response to unexpected production changes.
APS helps manufacturers forecast their production resource needs; It paves the way for higher profits by regulating the efficient use of materials, people, and machinery, and by planning options that will deliver faster delivery to customers. With MSF APS, you can have long-term planning covering months or can be used for one or several weeks of planning and detailed sequencing and scheduling.
MSF APS can be used not only as a standalone system for planning and scheduling, and but also be used and integrated easily with Enterprise Resource Planning (ERP), Manufacturing Execution System (MES), and other software solutions.
For planners, APS systems quickly analyze the iFor planners, MSF APS quickly analyzes the consequences of alternative decisions, visually highlights consequences and problems, and creates optimal or near-optimal plans and schedules.
MSF APS provides planners and managers with the best information and recommendations to combine all capabilities and capabilities to form the basis for their decisions. As such, it is an important tool to assist in managing complexity. While large numbers of items, orders, machines, and workers move quickly together, it is difficult to plan effectively with their complex constraints. In such environments, MSF APS can offer optimal planning and scheduling.
APS creates a type of computational optimization using many mathematical algorithms. In manufacturing, APS establishes a method for simultaneous synchronization of material and capacity with customer orders. APS prepares the plan and schedule for the execution of the production processes, then transfers it to ERP to manage the execution of the plan or schedule. APS can also be used as part of stand-alone systems or system suites, especially in larger organizations, if data interfaces are integrated. Many APS tools and techniques can be used in supply chain planning. This includes multi-purpose functions such as purchasing management and sales forecasting, factory planning and scheduling, inventory planning, transportation planning, product lifecycle management, and inter-institutional and intra-organizational coordination.
APS planning functionality considers forecast and long-term orders, supports decision-making about the feasibility and affects the general direction of production operations. APS supports decisions surrounding extending the workforce, resource capacity, and factories. It helps manufacturers determine what and how much to make, where and when to make it, and exactly what resources are required.
Planning can be executed in planning periods can be days, weeks, months, or a combination of all three.
Advanced Scheduling functionality considers the availability of resources and additional constraints, such as tooling and materials to ensure an accurate model of the manufacturing environment. Advanced Scheduling schedules orders using intelligent built-in rules. It provides decision-making support for overtime, order prioritization, due date negotiation, and order processing.
APS oversees numerous aspects of a production environment, including:
Master Production Schedule creation
Bill of Materials (BOM) level planning
Interactive schedule visualization
Advanced constraint modeling
Advanced material handling
Advance schedule optimization
Assembly process visualization
Interactive schedule viewing
Order-based multi-constraint scheduling.
When production demands, production queues, and anticipated changes in production are required, advanced planning and scheduling solutions are used by managers to better improve their decision-making processes. APS software helps make changes or see what impact changes in scheduling will have on production, creating real-time production efficiency in the factory.
When machine failures occur or parts are scrapped in production, advanced scheduling helps support contingency scenarios such as:
“What is the cost of accepting an urgent order?”
“Will prioritizing a new urgent order hurt our completion time for other pending orders?”
“Can we afford to pay our employees overtime to complete this job?”
“When can we move a machine into a maintenance stage without slowing down production?”
APS will help you see the true impact of each scenario. Managers will be able to provide their decisions with a dashboard or KPIs that can help visually demonstrate the impact.
By improving the synchronization of production processes, APS provides visibility into more options to increase production and on-time delivery while reducing inventory levels and waste. Advanced artificial intelligence algorithms, it enables manufacturers to quickly analyze and calculate achievable production schedules, taking into account multiple constraints and business rules. So planners can create and evaluate case scenarios to achieve the best results.
Late deliveries due to manufacturing delays
Missed sales due to demand exceeding capacity
Lost orders due to excessive work-in-process
High production costs due to machine ineffectiveness (such as downtime)
Excessive overhead due to managing scheduling changes and the impact on delivery schedule
Difficult to plan for future capacity requirements
Full visibility and control
Increased utilization and leaner operations
Faster response to change
Better customer service Higher margins
The biggest difference between production scheduling software and advanced planning and scheduling software is in the name. Both options may provide nearly similar functionality but may be marketed under different terms.
In other words, the software can be called production planning software or advanced production planning software. In fact, it can be said that production scheduling is just one of many features available in APS software; this means that the APS software is an enhanced version of the production scheduling software.
In essence, both production planning software and APS software are capable of scheduling many orders that need to be processed according to specific processes and specific product routes. Both systems can create a program that can be viewed in a variety of ways but is typically seen as a GANTT chart. These charts show how ordering products will take place in different processes.
In most cases, the user can change the production plans and try various scenarios to play with different situations on the production floor. If desired, in addition to calculating material consumption, APS can prevent scheduling of production orders after any material is exhausted and automatically generate supply orders when any material is partially finished.