Resource & Supply Planning is the sedApta Suite component which supports Production Planning processes, which entitles improvements and optimization objectives such as Customer service, reliability of the planning process, logistic and productive sizing for the medium/long term period, long term visibility over the impact of commercial demand over internal and external productive capacity, allocation of materials based on commercial priorities. It supports users through demand planning thanks to the identification of critical phases and their optimization based on exploration rules such as “at the least”, “at the most”, and on availability of resources and materials.
This innovative tool allows to adjust supply plans and fulfillment decisions, based on simulation and business rule capability in support the solving of complex interactions across processes and different sites:
- Multisite simulation
- Financial and production Kpi’s analysis
- What-if analysis (multi scenario and based on in-memory-database)
- Constraints Types (Hard to Soft)
- Forcing Enviroment
- Automatic batch and Manual run
- Manage mid- to long-term capacity planning, taking into account the constraints and life cycle of the full supply chain. Through high-level financial indicators, gain a synthetic view of the impact of production budgets against the supply chain.
- Estimate needed resources to match different physical, logistical, financial and production constraints for alternative production and supply scenario plans.
- Offer multi-plant balancing criteria in order to reach a shared market goal by optimizing single and multisite operational constraints and capacities.
- Fine-tune your middle term finite capacity competitive model by syncing your weekly production and supply plans.
- Simulate and benchmark different tactical scenarios according to your selection of standard KPIs.
- Improvement of interaction and impact of production budget against the supply chain.
- Simplification and improved accuracy of resource need estimation.
- Improved visibility of material needs and supplier capacity.
- Reservation of supplying capacity.
- A shared market goal with balanced multi-plant criteria.
- Fine-tuning of middle-term finite capacity competitive model.
- Simulation and benchmarking of different tactical scenarios according to a particular selection of standard KPIs.
R&SP is made by four modules:
Through the Capacity-driven demand routing R&SP dynamically assign demands to different sites, comparing the required capacity to cover the demands and the available capacity of each site. Starting from an item-based or demand-based priority of the available sites, R&SP allows to:
- Run a “All sites in order of priority” simulation: the system will then allocate demands on the preferred site as long as there is available capacity, and will place demands on the alternative sites only when the preferred site is fully loaded.
- Run a “Level capacity” simulation: the system will allocate demands on the different sites, in order to achieve a similar saturation level across all sites.
- Run a “Preferred site only” simulation: demands will only be loaded on the primary site, to display any load in excess to the capacity of the site.
Through strategic or long-term planning that is carried out at the aggregate level both in terms of resources and product families
Through the evaluation of the existing capacity of physical, logical, and economic resources in order to validate demand forecast. A simulation engine allows for the accurate dimension of the whole production system, including internal resources, suppliers, sub-contract work, and labour.
Through unique capabilities based on a Unified Data
Model to make decisions based on expected demand: from the sales force; from recurring orders; from stock and replenishment policies and production planning at different production sites and within each individual site, constrained by the availability of the key resources (machines, tools, materials, people).
Planners can evaluate and predict product mix scenarios having access to inventory and capacity re-alignment in a highly synergistic integrated process. Working on a set of incoming scenarios, taking advantage of the output of the S&OP in terms of volume constraints and unit costs, different scenarios can be timely elaborated, increasing
reliability and responsiveness.