For a Slovenian SME specializing in metal parts manufacturing, we developed a robust system to streamline and manage the entire production process.
The platform’s primary goal is to optimize operations by providing a complete overview of machine and workforce capacity alongside client demands, while automating much of the planning process.
For this project, we conducted an in-depth analysis of the client's production processes, immersing ourselves in their workflow to define essential features effectively. We then managed the entire full-stack development of the platform, ensuring it aligned with their unique operational needs.
The Calendar feature serves as a central hub for real-time scheduling and efficient resource allocation across projects. Drawing directly from project management data, it organizes tasks by priority, part sequence, end dates, and other critical factors to achieve an optimized production schedule.
Displays dates, timelines, and resource availability (machine and workforce), offering a comprehensive view for effective time management and gap identification.
Tasks are automatically adjusted based on production flow. If a task is manually moved, all dependent tasks update accordingly to maintain correct sequencing, essential for production lines with a strict order of operations.
Changes in project priorities or parameters trigger automatic calendar updates, keeping the schedule current and aligned with evolving requirements.
Similar tasks or parts can be grouped, minimizing machine setup time by scheduling shared requirements consecutively.
While the platform automates scheduling, it also offers the flexibility to manually adjust tasks as needed, providing customized scheduling options for special cases.
Each scheduled task links directly to project details (drawings, plans), ensuring workforce teams have immediate access to all necessary information, enhancing productivity and reducing errors.
The platform optimizes workforce deployment, strategically managing resource allocation to meet deadlines efficiently.
This feature manages workforce availability and machine capacity reductions due to planned absences or maintenance. It automatically adjusts scheduling and resource allocation to account for time off or reduced capacity.
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