FROM FIREFIGHTING TO PERFORMANCE: 6 BEST PRACTICES TO BOOST LABOR PRODUCTIVITY
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By Stephen (Steve) T. Hopper, P.E.
alk into a typical warehouse, DC, or fulfillment center on a busy day, and you’ll see the same pattern: supervisors expediting orders, reassigning people on the fly, hunting down inventory, and answering constant “where is it?” questions. By the end of the shift, leadership has two frustrations that seem to coexist far too often: labor costs are high, and service levels (such as accuracy, timeliness, capacity) still aren’t where they should be. In most of these operations, the workforce itself isn’t the root problem. The real problem is that the operation lacks a repeatable system to define “good work,” measure it fairly, and manage performance on a day-to-day basis. If performance depends on heroics, then it’s not a labor issue — it’s a management issue. Here are six best practices that consistently move warehouse labor from firefighting to performance. The emphasis here is intentional: this isn’t about optimizing schedules or chasing down workers. It’s about improving how work is managed so you get more output and better service from the workforce you already have.
Actively training workers to follow the established methods (not just asking them to “shadow” another worker for a day)
1. Standardize the work, so “good” is defined If two associates can perform the same task in two different ways, you don’t really have a process. What you have is a collection of habits. Standard work doesn’t need to be complicated. Start with the primary activities that consume the most labor hours in your operation (usually order picking, but also receiving, putaway, replenishment, packing, and shipping). Then define the best-known way to execute each of them. Here’s what “standardized” looks like in practice: A clearly defined, recommended method that removes ambiguity Simple standard operating procedures (SOPs) and visuals that match and clearly articulate the established methods
Where do labor standards and labor management systems (LMS) come into play? Think in levels: A simple start: established methods, basic productivity tracking, visible (and reasonable) daily targets, etc. More rigorous practices: reasonable expectancies, consistent feedback, a formalized coaching program, etc. Advanced practices (for larger or more complex operations): multi-variable engineered labor standards and an LMS that automates measurement, reporting, coaching workflows, and (optionally) performance incentives
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Standard work isn’t bureaucracy; it’s fairness. It creates an objective foundation for measurement, coaching, and improvement. 2. Measure what matters and can be trusted Most warehouses have productivity reports. The common failure with these is that workers don’t trust the productivity numbers because they don’t account for differences in work content, such as order profiles, product types, travel distances, congestion, and complexity. When productivity metrics feel arbitrary or unfair, they get debated — or worse, ignored. A more practical approach involves these steps: Measuring performance by function and by other work attributes when needed Keeping the scorecard tight to support output goals (quantity and quality) Using reasonable “lost time” categories to expose what steals hours from productive work (such as waiting, searching, rework, and exceptions)
A realistic, qualified view of outcomes helps leaders prioritize: many operations experience meaningful improvements