Pick Strategy in Fresh Produce

In Flex2B, the pick strategy elements can be found through the 'Portal: Pick Strategy' menu.

       


Designing an effective pick strategy is crucial for optimizing a supply chain, as it directly impacts order fulfillment, operational efficiency, and customer satisfaction. 

Flex2B Cloud has a portal section that is helping you to define certain 'Pick Suggestions' and 'Pick Strategies'.

There are some key considerations and strategies for an efficient fresh produce supply chain picking process:


A,B,C Analysis:

   - Classify products based on their importance and demand. Use the ABC analysis (A-items are high-value and high-demand, B-items are moderate, and C-items are low-value and low-demand).

   - For Fresh Produce, similar characteristics may put other properties to the A, B, C-items, such as Produce Risk, PPS (the sliding time window in Flex2B and many more...). For each business the A,B, C categories can be defined to their own needs.

   - Allocate more resources and efficient picking methods for high-priority items.


Batch Picking:

   - Group orders together and pick items for multiple orders simultaneously to reduce travel time.

   - Batch picking is particularly effective for orders with common SKUs.


Zone Picking:

   - Divide the warehouse into zones, ie Cooling Rools and assign specific pickers to each zone.

   - Each picker is responsible for picking items only within their designated zone, reducing travel time.


Wave Picking:

   - Combine multiple orders into waves based on common characteristics (ie delivery location, product type).

   - Pickers work through waves, improving efficiency by reducing the need to revisit the same location multiple times.


Cross-Docking:

   - Directly transfer goods from inbound to outbound without the need for storage.

   - Reduces the time products spend in the warehouse and minimizes handling. (ie Replenishment)


Automation and Robotics:

   - Implement automated picking systems and robotics for repetitive and high-volume tasks.

   - Reduces labor costs and increases speed and accuracy.


Dynamic Slotting:

   - Regularly review and adjust item placement based on demand patterns.

   - Keep frequently picked items in easily accessible locations.


Pick Accuracy Measures:

   - Implement quality control measures to ensure accurate picking.

   - Use barcode scanners and RFID technology to reduce picking errors.


Flexible Workforce:

    - Cross-train employees to perform multiple tasks within the warehouse.

    - This allows for flexibility during peak seasons or unexpected changes in demand.


Continuous Improvement:

    - Regularly analyze data and key performance indicators (KPIs) to identify areas for improvement.

    - Seek feedback from warehouse staff for insights into potential enhancements.


Seasonal Adjustments:

    - Anticipate and plan for changes in demand during peak seasons.

    - Adjust staffing levels, storage configurations, and picking strategies accordingly.


Remember, the most effective pick strategy often involves a combination of these approaches, tailored to the specific characteristics and demands of your supply chain. Regularly review and refine your strategy to adapt to changing business conditions and technological advancements.