Features

The Machine Capacity Management (MCM) module, part of the Ā Datatex NOW ERP software for textile and apparel, is designed to streamline production by offering powerful planning, capacity analysis, and bottleneck resolution tools.

MCM provides a complete view of production operations, by plant, enabling planners to organize production orders across plants and within plants based on real-time constraints and resource availability. The tool allows for high-level visibility and detailed drill-downs, giving users the flexibility to:

• Identify production bottlenecks.

• Select optimal plant allocation.

• Adjust machine workloads.

• Prioritize tasks and reschedule delayed orders.

• Handle customer order acceptance based on real-time capacity.

Key Features of MCM:

• Graphical Capacity Planning –Ā Visualize and balance production floor capacity using intuitive Gantt charts.

• Finite and Infinite Capacity Planning –Ā Analyze production using both finite (predefined priorities) and infinite (delivery-focused) planning to detect bottlenecks and optimize resource allocation.

• Fully embedded –Ā MCM seamlessly calculates capacity loads based on real time data , ensuring planners have up-to-date production information.

• Detailed Resource Allocation –Ā Evaluate machine capacity, material availability (stock, orders, WIP), and additional resources (tools, human resources) to enhance operational efficiency.

• Customizable Planning Rules –Ā Configure scheduling rules to align production with specific needs, such as prioritizing high-value orders or managing multi-plant scenarios.

Benefits

• Enhanced Production Planning –Ā MCM optimizes the allocation of capacity and resources, ensuring that production meets customer deadlines.

• Improved Operational Efficiency –Ā Identify potential delays early and implement corrective actions.

• Scenario Planning –Ā Test multiple planning rules and compare outcomes to choose the best production strategy.

• Better Decision-Making –Ā Make informed decisions about outsourcing, plant selection, and material usage.

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