Agriculture Reference
In-Depth Information
QCL-elements
Operational requirements
1. Consumer
preferences & product
acceptance period
•
Understand consumer preferences of quality attributes
•
Get insight in product acceptance period for all market segments
•
Get insight in dynamic behaviour of product quality attributes
•
Systematic assessment of CQPs that have major impact on
product quality & availability in retail outlets
2. Critical quality
points (CQP) for quality
and logistics
•
Have ability to measure & analyse quality at CQPs
•
Have automated quality measuring at CQP‛s
•
Have prediction models to calculate real product quality
3. Product quality
measurement and
prediction
•
Use advanced data loggers and techniques (RFID,GPS) to capture
relevant information real-time & reliable
•
Exchange quality, supply and demand information in chain
4. Data logging and
exchange of
information
•
Set local targets for quality attributes, reduce variability inte-
nally and manipulate product quality in line with market demands
•
Apply quality driven inventory management principles
•
Sort for homogeneous small batches, have quality based order
picking and transport (matching delivery with consumer wishes).
5. Local dynamic/
adaptive logistics and
quality control
•
Establish full chain collaboration to create demand-driven chains
•
Direct goods to highest value markets and apply efficient
replenishment and JIT principles for responsive distribution
•
Use temp. controlled reefer containers and packaging with MA
6. AgriFood Supply
Chain Management
Fig. 14.1
Operational requirements of QCL elements
and with RQFO exactly that batch is delivered, which has the right quality for that
particular customer.
f. Supply Chain Management (SCM)
Finally, all SCM practices as discussed earlier (like CPFR, VMI) can be applied in
the complete supply chain to match supply and demand using the advanced product
information exchanged in the supply chain and collaborative logistics decision poli-
cies; production and distribution lead times can be shortened, full chain transpar-
ency created and waste and costs reduced.
These six elements can be combined in a preliminary diagnostic instrument that
indicates the operational requirements of each QCL element (see Fig.
14.1
). The
next step is to develop different performance levels to assess specific supply chains
and to analyse the relationship between QCL elements and supply chain perfor-
mance. To get some first insight in this the next sections describe case studies in the
tomato and mango supply chain network.
