Our optimization algorithms span the complex world of supply chain decision making and conquer the domains of customer service, inventory, sourcing, transportation, warehousing, and the supply chain as a whole. A small sample of recent optimizations follows.
Our delivery frequency algorithm optimizes the times between deliveries or shipments taking into account the implications for transportation, inventory carrying, and lost sales cost. READ MORE
Our fleet sizing algorithms determine the optimal number of tractors, trailers, planes, lift trucks, rail cars, vessels, and/or containers required to balance service requirements and investment cost. READ MORE
Our delivery frequency algorithm optimizes the times between deliveries or shipments taking into account the implications for transportation, inventory carrying, and lost sales cost.
Our broken case picking mode optimization determines the minimum cost storage mode for each SKU; choosing between bin shelving, flow racks, storage drawers, horizontal carousels, vertical carousels, and automated dispensing systems.
Our pick face optimization algorithms are based upon Dr. Frazelle's ground breaking research in the forward-reserve problem. The algorithms determine the pick face size that minimizes the sum of picking replenishment costs for each SKU.
Our pick slot optimization algorithms consider each SKU's popularity, cube movement, percent days picked, and demand correlation in assigning each SKU to it's uniquely optimal location. The solution reduces picking cost, improves picking throughput, reduces picking errors, and improves picking safety.
Our warehouse zoning algorithms consider order construction, demand correlation, and item popularity in constructing optimal warehouse zones that minimize travel time and order picking costs.