Scott-Grant’s experience in the warehousing and distribution sector
Here are some recent examples of how we’ve helped businesses in the warehousing and distribution sector.
A sizeable retailer with their own DC network needed structured Time Standards to establish a common database for all its DC activities. They wanted to avoid the need to re-measure in this constantly changing industry. The most effective solution was for our productivity analysts to use MOST® to structure a group-wide database with the same time data configured to suit varying products and parameters. The process of developing SOPs encouraged more consistent methods. The very specific time data was applied through their existing WMS. Accurate capacities, staffing budgets, daily operating plans were all introduced with individual performance reporting and the ability to compare each DC’s effective performance across the group, always based on a true work content. This helped to transform the inconsistent methods and attitudes and enabled better matching of resource to work content, so better performances and improved productivity.
A national distribution business tended to operate on notional average targets without taking into account high mix variations, seasonal fluctuations, volume differences across a week, balance of work, promotional offers etc. This lack of real time standards made it very difficult to set staffing levels and capacities so a team of our Industrial Engineers and a Team Leader were assigned. The formal time standards we created illustrated the range of work content, they were configured to work with the WMS and enabled management very quickly to determine overall budget staffing levels, to prescribe accurate staffing levels across a day, week or month with combinations of known and forecast volumes. All work content for actual volumes can them be confirmed with forecast volumes and, over a period, will refine the accuracy of their short term forecasting. In all, their performances and efficiencies have increased by nearly 20%.