Advanced Planning & Scheduling
for Discrete Manufacturing

Production planning is a tool for achieving a high level of operational efficiency and customer service – it allows for a systematic, efficient and reliable order fulfillment.

An efficient planning process providing quality outputs has to be supported by high performance tools for production planning and scheduling, capable of processing even tens of thousands of manufacturing orders and material items. Such tools naturally have to respect the business environment and provide quality outputs for efficient management of the order fulfillment process.

The solution for discrete manufacturing of LOGIS is a set of tools for production planning and scheduling in the environment of machinery, engineering, electro-technical, automotive and other similar industries.

Capacity Planning

Capacity constraints are one of the most significant limitations companies must face when taking care of meeting the due date required by the customer. The key characteristic of a high performance solution is the ability to identify the dynamically changing bottlenecks and resolve capacity issues using optimization algorithms, taking those bottlenecks into account and propagating the result of capacity planning across the entire order hierarchy while identifying the effect of the selected solution on all other accepted orders.

An efficient tool for capacity planning helps to achieve the following goals:

Improved due date
delivery performance

Increased throughput

Reduced response times

The result is the creation of capacity-feasible job queues for the limiting resources not only on the short-term horizon, but also in longer time periods. The final output is achieved by a combination of optimization algorithms and manual work of the planner. A capacity-balanced plan then becomes a valuable base material for creating a high quality production schedule, allowing for economically efficient and reliable order fulfillment.

Production Scheduling

The environment of electro-technical industry, automotive, as well as other specific production processes of machinery and engineering require setting a sequence of orders in relation to various constraints – for example depending on quality and strength of material to be split or the setup time of the production resource between separate orders.

Setting an optimal sequence of orders on a resource leads to the following benefits:

Increased throughput

Reduced production lead times

Reduced delivery lead times

An optimized production schedule is generated in seconds, or minutes at most, which allows for flexible responding to dynamically changing production situation and to the changes from outside. The ability to quickly create optimized sequence of operations thus gives the planners time for manual modifications of the schedule and taking constraints that are not a part of the scheduling algorithms into account.

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