2023.04.28. – 2 min read
Discrete manufacturing companies are regularly faced with new challenges in an ever-changing environment, including difficult-to-predict order volumes, parallel production processes, products requiring multiple workstations, and changing customer expectations. As a result, manual production planning and resource allocation are proving less and less effective, often resulting in late or poor-quality deliveries and under-utilisation of existing machinery and resources.
The manual planning and control of production processes is a very time-consuming process, and its complexity creates a high potential for error. In an industrial environment, a large number of orders have to be scheduled based on the availability of raw materials, skilled workers and machinery, in order to be produced in the most time and cost-efficient way for the company. By eliminating unnecessary waiting and bottlenecks, unit production costs, overheads and the number of shifts required can be reduced.
To support this complex planning process, we have created Optimaps software to help you plan production, support your production planning staff, and save time. Optimaps optimises your production along time and cost factors in a generous production planning process. It efficiently supports the work of production planners, shortening planning time by running multiple scenarios in parallel.
It is designed for small and medium-sized manufacturing companies that want to keep pace with accelerated technological developments and plan their processes in an optimal way. Optimaps uses a mathematical algorithm to create the optimal production schedule that best suits you, considering your company’s priorities. Developed as part of the DIH4AI project, this feature uses artificial intelligence to save you even more time during the planning phase by automatically re-optimising your production plan.
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