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Labour management

The pressure to improve labour management:

- executive directive to decrease operating expenses

- seasonality / peak capacity concerns

- customer demand for faster order turnaround time

- customer demand for more customised services (value-add)

- employee turnover

- inability to service all available demand

Best-in-class strategic actions:

- implement more efficient warehouse processes

- invest in warehouse technologies to support labour productivity

- measure individual performance

- provide incentives for good performance

- manage staffing levels and mix

Best-in-class organisational differentiators:

- training materials are available for staff to review

- identified executive accountable for quality training

- on-boarding covers both warehouse processes and implemented technologies

- assigned mentors / coaches for new employees

Best-in-class performance measures:

- formalised reviews are performed on a regular basis to address staff performance

- employee-specific performance data collection

- regular performance analysis and reporting

Software and functionality leveraged by the best-in-class:

- warehouse management system

- labour management software

- engineered labour standards program

- identifies underperforming individuals

- prioritises a group of tasks by their relative urgency

- automatically assign tasks to workers

Advanced software features across maturity classes:

- operational reports analytics (e.g. pay variables, performance trends)

- predict labour requirements per day

- task management software

- xyz coordinates to calculate travel distance and time by aisle/ layout

- network-wide availability of labour reports or dashboards via the web

- ability to perform “what if” simulation of labour impact with layout changes

- BI / performance analytics applications (outside of LMS / WMS)

To achieve best-in-class performance, companies must:

- compare their capabilities against the top performers and build the business case to enhance company systems and technologies

- work on process improvements first and supplement with advanced features like engineered standards and incentives

- build competencies in the management team to utilise individual or group performance metrics to monitor and motivate the workforce


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