Optimizes complete Manufacturing Network to find the right number, location, role and capacities of the factories to minimize supply chain costs and maximize Service Levels. Evaluate multiple business scenarios and compare. Assess risks associated with each scenario.
Optimizes the production capabilities of the factories, and suggests Addition of new factories or Elimination of any of the existing factories. Restructures owned Factories to retain or create efficient components (machine, man-power etc.) and eliminate the rest.
Optimal location of all assets (machines on all processes) to ensure best asset utilization and economies of scale.
Accounts for long-term demands, product profitability, linear costs like production costs, in-bound and out-bound logistics cost, utility and material costs, fiscal benefits etc. as well as non-linear fixed factory costs and asset depreciation cost, investment cost and man-power costs.
Efficient capacity utilization at every factory through balancing of capacities across processes either by relocating assets or suggesting new assets.
Consolidates multiple categories of products for manufacturing thus ensuring best benefits of Economies of Scope and reduction in freights.
Suggests replacement of an asset with another asset (new technologies) to improve efficiencies.
Factories spread well across the operational regions to minimize distribution costs and response time.
Identify Risk associated with any investments made. Assess sensitivity of the model against any Supply Chain Drivers.
Optimizes the product Mix at each Factory based on the Total Landed Cost.
Suggests maximum utilization of volume based discounts offered by transporters and suppliers.
Optimal number of assets for getting the best trade-off between fixed costs and inventory costs in case of seasonal products.
Suggests ROI on any new investment proposed.