Supply chain networks are becoming ever more complex with many organisations turning to outsourcing and delocalisation, with increased distances between production and consumer locations.
sofco Supply Planning software helps optimise business processes, enhancing visibility throughout the entire Supply Chain, which therefore becomes more agile, more efficient and demand-driven. All of which is focused on achieving a better customer service level and on reducing overall operating costs for the company.
Production Planning
Supports commercial demand planning with respect to understanding the impact of existing constraints in terms of capacity, resources and materials. Through an approach involving algorithms and simulations, the planner can produce a feasible and optimised production plan identifying the best possible production scenarios.
Procurement Planning
Proposes a materials procurement plan synchronised with the production plan. It supports the planner in the selection of the most suitable supplier and optimises total purchasing costs. This solution helps in deciding what to buy from which supplier, when, in what quantity and at what cost in relation to demand, stock availability and desired stock levels.
Distribution Planning
Supports distribution network design and helps the planner determine which products to allocate to distribution centres. Planning simultaneously considers: demand; geographical location of production sites; distribution centres and customers; primary and secondary routing; lead-times; as well as production and transportation capacities.
Replenishment Planning
Generates point of sales/secondary distribution centres replenishment plans, as well as requests to main distribution centres, both in terms of optimal quantities and dates. These plans are elaborated by simultaneous consideration of forecasts and their degree of reliability, product management policies, stock management policies, delivery calendar and logistic-operative replenishment features.
Inventory Planning & Optimisation
Uses sophisticated statistical techniques to determine stock management parameters such as safety stock levels and replenishment policies. These, optimised with respect to existing logistical constrains and the product statistical features. Based on actual sales data, it also recalculates and adapts parameters according to changes in external conditions, allowing an optimal return on financial investment.
Key Functionality
The Benefits
Single or multi-site environment
Multi-site Distribution Planning
Multi-tier Replenishment Planning
Shelf life constraints
Single or multiple recipe management
Scenario modelling
The Benefits
Improved service level and productivity
Improved use of distribution resources
Shorter re-planning times
Reduced stocks of finished products
Lower production, procurement and distribution costs