Supply Chain Consulting & Optimization Specialists
Optimum Profit Consulting combines tools based on leading-edge optimization technology with deep supply chain expertise to enable our customers to maximize profitability. Our unique combination of software and consulting enables us to deliver world-class results very rapidly and at very competitive rates.
Inventory Optimization
Optimum Profit Consulting provides Inventory Optimization as a consulting service. Optimum Profit Consulting’s Inventory Optimizer (IO) calculates inventory targets and safety stocks that meet your customer service objectives at the lowest possible inventory cost while considering the impact of both demand and lead time variability. The output from IO is entered into a company's Enterprise Resource Planning (ERP) or accounting system to create replenishment orders. IO is applicable for single-echelon and multi-echelon environments. In a multi-echelon environment there is cost optimization logic that holds a portion of the inventory further upstream based on the differences in cost at each echelon of the network.
Supply Chain Software Implementation
Optimum Profit Consulting has implementation expertise with many supply chain software applications from Kinaxis, Oracle, SmartOps, Adexa and Numetrix. In addition to software implementation Optimum Profit Consulting can assist with supply chain software strategy and evaluation.
Sales & Operation Planning
Sales & Operations Planning (S&OP) is an integrated business management process that provides alignment and synchronization across all functions of an organization. S&OP helps to break down the barriers between departments and enables the organization to focus on a common goal rather than operate as different functional silos.
Material Requirements Planning
Material Requirements Planning (MRP) is a computer-based inventory management system that places orders for dependent demand items for manufacturing and distribution companies. MRP works backwards from a finished goods production plan and uses bills-of-materials, inventory targets, etc. to create the time-phased purchase orders, transportation orders and manufacturing work orders to meet the demands for finished goods.
Supply Chain Network Optimization
The Strategic Network Optimization (SNO) solver creates a plan to source and distribute material throughout your supply chain network at the highest profit (or lowest cost) possible while respecting real world manufacturing and distribution constraints. SNO uses a mixed-integer linear program to generate the cost optimal solution. SNO is typically used for strategic decision making by running multiple scenarios and comparing the results. The supply chain network can include suppliers, manufacturing plants, third-party manufacturers, distribution centers and customers along with all transportation modes and routes. Typical scenarios may include changes in forecasted demand, the impact of additional manufacturing resources, outsourcing of transportation, analyzing which plants to expand or close and greenhouse gas emissions modeling. The constraints in the network model can vary from very detailed machine level capacities to high-level plant and transportation capacities
Optimum Profit Consulting combines tools based on leading-edge optimization technology with deep supply chain expertise to enable our customers to maximize profitability. Our unique combination of software and consulting enables us to deliver world-class results very rapidly and at very competitive rates.
Inventory Optimization
Optimum Profit Consulting provides Inventory Optimization as a consulting service. Optimum Profit Consulting’s Inventory Optimizer (IO) calculates inventory targets and safety stocks that meet your customer service objectives at the lowest possible inventory cost while considering the impact of both demand and lead time variability. The output from IO is entered into a company's Enterprise Resource Planning (ERP) or accounting system to create replenishment orders. IO is applicable for single-echelon and multi-echelon environments. In a multi-echelon environment there is cost optimization logic that holds a portion of the inventory further upstream based on the differences in cost at each echelon of the network.
Supply Chain Software Implementation
Optimum Profit Consulting has implementation expertise with many supply chain software applications from Kinaxis, Oracle, SmartOps, Adexa and Numetrix. In addition to software implementation Optimum Profit Consulting can assist with supply chain software strategy and evaluation.
Sales & Operation Planning
Sales & Operations Planning (S&OP) is an integrated business management process that provides alignment and synchronization across all functions of an organization. S&OP helps to break down the barriers between departments and enables the organization to focus on a common goal rather than operate as different functional silos.
Material Requirements Planning
Material Requirements Planning (MRP) is a computer-based inventory management system that places orders for dependent demand items for manufacturing and distribution companies. MRP works backwards from a finished goods production plan and uses bills-of-materials, inventory targets, etc. to create the time-phased purchase orders, transportation orders and manufacturing work orders to meet the demands for finished goods.
Supply Chain Network Optimization
The Strategic Network Optimization (SNO) solver creates a plan to source and distribute material throughout your supply chain network at the highest profit (or lowest cost) possible while respecting real world manufacturing and distribution constraints. SNO uses a mixed-integer linear program to generate the cost optimal solution. SNO is typically used for strategic decision making by running multiple scenarios and comparing the results. The supply chain network can include suppliers, manufacturing plants, third-party manufacturers, distribution centers and customers along with all transportation modes and routes. Typical scenarios may include changes in forecasted demand, the impact of additional manufacturing resources, outsourcing of transportation, analyzing which plants to expand or close and greenhouse gas emissions modeling. The constraints in the network model can vary from very detailed machine level capacities to high-level plant and transportation capacities