APS product groups
AI-generated image
AI-generated image
_Less individual planning. Greater reliability in product group management.
It does not always make sense to plan every item individually. In many production processes, items, semi-finished products or variants are interlinked – whether through materials, machinery, set-up sequences or replenishment logic. With the APS product groups module from tetys companion, these interdependencies are taken into account in detailed planning. Related items can be viewed together, replenishment quantities can be coordinated, and production sequences can be planned in such a way that they better match the actual situation on the shop floor.
The result: more stable stock levels, fewer unnecessary changeovers and greater reliability in the management of product groups.
_Less individual planning. Greater reliability in product group management.
It does not always make sense to plan every item individually. In many production processes, items, semi-finished products or variants are interlinked – whether through materials, machinery, set-up sequences or replenishment logic. With the APS product groups module from tetys companion, these interdependencies are taken into account in detailed planning. Related items can be viewed together, replenishment quantities can be coordinated, and production sequences can be planned in such a way that they better match the actual situation on the shop floor.
The result: more stable stock levels, fewer unnecessary changeovers and greater reliability in the management of product groups.
_Problem area: Too many individual decisions in detailed planning
If every variant, every replenishment and every production order has to be assessed individually, the planning workload increases rapidly. Production planners must meet deadlines, utilise machinery efficiently, maintain stable stock levels and, at the same time, keep an eye on set-up times. If this interdependence is managed manually or solely via individual orders, it leads to unnecessary coordination, last-minute changes to plans and decisions made under time pressure.
If you want to bring some calm to the detailed planning process, you need a view that links related items without the planner having to do so in their head first.
AI-generated image
AI-generated image
_Problem area: Too many individual decisions in detailed planning
If every variant, every replenishment and every production order has to be assessed individually, the planning workload increases rapidly. Production planners must meet deadlines, utilise machinery efficiently, maintain stable stock levels and, at the same time, keep an eye on set-up times. If this interdependence is managed manually or solely via individual orders, it leads to unnecessary coordination, last-minute changes to plans and decisions made under time pressure.
If you want to bring some calm to the detailed planning process, you need a view that links related items without the planner having to do so in their head first.
_Item group management for smoother planning processes
tetys companion APS product groups helps production planners not only to manage product groups, but also to make active use of them in detailed planning. Replenishment quantities, stock levels, set-up logic and deadlines are considered in context. This results in planning decisions that are more closely aligned with actual production.
Creating targeted product groups
Related items, semi-finished products and variants can be grouped according to defined criteria. This brings planning interdependencies to light that would otherwise often have to be assessed manually – for example, based on material, machine, set-up logic or replenishment strategy.
Planning restocking processes in a more structured way
Recurring restocking can be considered in the context of the relevant product group. Production volumes, stock levels and deadlines can be better coordinated. This makes it clearer at an earlier stage when which items should be restocked.
Assessing set-up sequences and bottlenecks more effectively
When similar items or variants are considered together, production sequences can be planned more effectively. At the same time, it becomes clear which decisions have an impact on stock levels, capacity and delivery dates. This reduces unnecessary changeovers and makes it possible to identify bottlenecks at an earlier stage.
Inside the Code
Technical Deep Dive: Article groups as optimisation parameters in the APS algorithm
The module extends the tetys companion planning algorithm in that, for product groups, the quantity of an order is no longer determined solely by the demand for its own product; rather, the order quantities within the product group are dynamically determined in accordance with all the group’s demands, thereby enabling similar items to be grouped together more effectively. In doing so, outstanding requirements are filled evenly and progressively, taking into account a defined time horizon or a limited target quantity. At its core, a constraint-based optimisation process runs, which simultaneously takes into account set-up logic, material availability, stock levels, priorities and dependencies, and uses these to calculate a sensible sequencing of production orders. Feedback from MES pro data, changes in quantities or new deadlines means the plan is continuously reassessed, ensuring that the item group logic remains stable even in the event of short-term changes.
Inside the Code
Technical Deep Dive: Article groups as optimisation parameters in the APS algorithm
The module extends the tetys companion planning algorithm in that, for product groups, the quantity of an order is no longer determined solely by the demand for its own product; rather, the order quantities within the product group are dynamically determined in accordance with all the group’s demands, thereby enabling similar items to be grouped together more effectively. In doing so, outstanding requirements are filled evenly and progressively, taking into account a defined time horizon or a limited target quantity. At its core, a constraint-based optimisation process runs, which simultaneously takes into account set-up logic, material availability, stock levels, priorities and dependencies, and uses these to calculate a sensible sequencing of production orders. Feedback from MES pro data, changes in quantities or new deadlines means the plan is continuously reassessed, ensuring that the item group logic remains stable even in the event of short-term changes.
_Ensuring product groups are included in the planning
Minimise the need for individual decisions in detailed planning and manage product groups using robust planning logic.
