In the consumer packaged goods (CPG) industry, a warehouse Production Machine Operator (PMO) is not always a forklift operator. PMOs can range from developing, manufacturing, marketing, selling and distributing goods. Not only must these PMOs be able to communicate and work effectively in a team environment, but they must also be able to follow tasks safely and efficiently. But, how can a large CPG and classic American dessert brand in a fast-paced manufacturing environment measure the performance of tasks between these operators? How can underperforming operators learn from ones who are excelling?
Most often these operators will work four to five days a week per shift and need to be flexible in order to quickly adjust and meet the needs of the business. Today’s story involves a leading CPG dessert brand that leverages Outlier to show the relationship between operators and rank them based upon how they compare to one another and who is cranking out the most tasks.
How does a leading CPG food company measure operators?
Operating machinery in a fast-paced environment takes skill and experience. Employees are mostly those who have had prior experience, may work 12 hours shifts, every day of the week, and take on roles from mixing to frying to wrapping, on equipment which may vary per facility.
With thousands of employees in the warehouse, quickly gathering data on performance and adjusting the line can be a daunting task. Employees on the job must have the ability to sit, stand, walk, kneel, squat, bend, reach, push, pull, twist, crawl, climb stairs/ladders, and be able to lift to a maximum of 50 pounds.
Not only are physical tasks required, but operators must also have strong organizational skills, read and follow formulations, calculate batter time and length, watch more than one machine at a time, make adjustments in the formulation process, and identify in and out of packing containers, hearing, understanding instructions and seeing.
By quickly integrating Outlier with SAP HANA, this leading CPG dessert brand was able to understand the day-over-day performance change among warehouse operators through this Rank story. One particular operator generated more daily tasks and jumped 42 spots to the number one spot. This insight was valuable because it showed how operator productivity changed relative to other operators and which operator was creating the most tasks.
Understanding operator rank is critical to knowing if a warehouse is operating at its peak efficiency as well as identifying the most productive workers and rewarding them. This Outlier story helped the CPG dessert brand understand specifically how one operator was excelling over others and how that person’s output may benefit and inspire his/her peers. The dessert brand was able to develop best practices for other operators and focus on creating more efficiency with other operators. Armed with these new best practices the dessert brand was able to gain 4% more efficiency in the first week.
Without Outlier, these kinds of insights could require hours, days, or weeks of analysis. Outlier empowers businesses to take a deeper look at their data and uncover unexpected trends that can lead to operational improvements. Sign up for a custom demo to see how.
Stay tuned for more insight into how Outlier identifies warehouse performance improvements at a leading CPG brand.