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8/3/2019 2011 Verdict
1/25
Cold Supply Chain
Verdict Systems BV
Verdict East Africa Ltd
8/3/2019 2011 Verdict
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Monitoring Cold Supply Chain
Monitoring:1. Field Conditions -> optimal production2. Storage Conditions -> optimise shelflife3. Transport Conditions -> avoid loss in shelflife
Focus on perishables during all stages from supplier till final customer.
Monitor Supply Chain to avoid products from contamination & degradationor other damage by too high or low temperature conditions.
Supply Chain -> focus on partners and processes
Cold Chain -> focus on product and conditions
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Cold Supply Chain
Products / industries:
Food: Fish, meat, Agri / horticultural products: flowers, vegetables, fruit Pharmaceutical products Chemicals
Industry: anti - shock
Core of problem:
Safety -> direct damage Liability -> medicines; food
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Cold Supply Chain
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Verdict ChainView
Offering transparency in the Cold Chain / Supply Chain:
1. Enable users worldwide to monitor conditions at production- andstorage sites or goods in transit;
2. Users can optimize conditions from distance;
3. Data may be used as input in models for: diseases, shelflife,weather forecast etc.
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1 - Data collection on site
2 - Transfer data by GPRS / ADSL
3 - Databases on internet
4 - Webservices5 Models for
shelflife, growth
& diseases
6 Weatherforecast
Management Information System
7 Filters & tools
Weather
stations
Data
loggers
Cold Chain Management
Wirelesssensors
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About the Flower Business Case
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How to organise?
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Flower Supply Chain
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Importance of Cold Chain
Main objective: Control temperature (1-4C) Control humidity (85 93% RH)
Physical, physiological and micro-organisms factors
Roses: Temperature: limit respiration Humidity: avoid germination of Botrytis
Vaselife: promise of 7 days after 3 - 18 days transport
Flowers: respiration increases temperature 0C: hours before temp increases with 1
20C: minutes before temp increases with 1
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Vaselife determined by temperature
Respiration vs temp. Vaselife vs T-storage vaselife vs respiration
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Verdict ChainView
Verdict ChainView software: Collect temperature data during transit Direct communication of these data via Internet Direct feed-back on every shipment Management tool to optimize Cold Chain
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Vaselife vs temperature during transport
Other factors:
Ethylene, Harvesting stage Microorganisms
Temperature in all factors
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Shipment on Sept. 2nd: cold, but slow
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Shipment Sept. 8th: cold & quick
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Variation in shipments
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Quality Controlled Logistics
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VerdictChainView
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Product lines:
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Structure
topic
software
hardware
models
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Wireless sensors for 3D scan of an area
Wireless sensors (1 1000 m !) uploaded in database and local computer
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Temperature differences in a modern Gerbera nursery using 100 wireless sensors,monitoring Temperature and Relative Humidity. Views at: 4, 8, 10, 12, 14, 16, 20and 24 oclock. Movie is available on request. (Source: Wageningen UR, 2008).
Conclusions:-Up to 4C differences-Cold spots are persistent
Diseases start on coldspots
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Weather stations to monitor climate and predict diseases:
On golf course and inFinland (-23C)
On website: (soil) temperature, PAR light
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Dutch Fruit Board, Crop protection companies and growers:
On website: data are translated in disease predictions,to advice growers and other stakeholders
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Thank you for your attention !
Verdict Systems East Africa
+254 70 651 0622
[email protected] www.verdict.eu