FOURTEC NEWSLETTER

Happy 2014!

    

 

 

We hope you enjoyed the holiday season and are returning to work to kick-off the new year rejuvenated and re-energized.

 

The Fourtec team all wish you and your family a Happy New Year. A year of health, happiness, full of new and exciting opportunities.

 

In this issue we announce the release of version v2.4.0.0 of our DataSuite software, supporting a number of new languages packs.

 

We also present a new case study, describing how Fourtec's PicoLite single-trip data logger is used for monitoring the cold chain transportation of frozen Pita bread to ensure quality of the shipped products.

 

In our regular Market News slot we link to a news item highlighting new research  that finds that the Cold Chain logistic services market is expected to expand from $7.3 billion to nearly US$11.4 billion by 2018.

 

Enjoy the issue,  

  

THE FOURTEC TEAM 

  
 
With extended multi-language support!


 What's New in v2.4.0.0?

 

In this new release, we've enhanced DataSuite's localization to support a total of 9 languages. DataSuite 2.4.0.0 now includes Chinese, French, Italian, Japanese, Russian and Spanish language packs, in addition to the previously available English, German and Portuguese. This localization effort also extends to the DataSuite CFR module, for users requiring 21 CFR Part 11 compliancy.

 

We hope this will boost your efforts in integrating DataSuite and supported systems in your relevant regions.

  

Note: To switch between language interfaces, go to Help > Languages in the DataSuite main menu.  

 

As always, this new release also includes a number of important software improvements, as documented in the DataSuite release notes. 

  

Upgrade Instructions

  • To upgrade existing DataSuite installations: Go to Help > Check for Updates in the DataSuite main menu to download the new version directly from Fourtec servers. Internet connection is required.
  • For new DataSuite installations: Download the full DataSuite v2.4.0.0 setup file from the Fourtec website.  

Documentation

  • Click here to download the full DataSuite 2.4.0.0 Release Notes.
  • Click here to download the updated DataSuite 2.4.0.0 user guide.

 

Please contact Fourtec via the website's Support page with any questions regarding this release.

PicoLite - Verifying Quality of Pita Bread in Cold Chain 

 
Application: Monitoring of food during cold chain transportation  
Organization: Nina Bakery - Producing and marketing Pita bread
 
Background: 

Nina Bakery Case Study
Globalization has lead to increased demand for imported frozen food from different countries; part of this trend is the demand for authentic, high quality Pita bread. Cold chain transportation allows suppliers to maintain frozen products and preserve their physical and bio-chemical properties. In order to verify the quality and safety of exported products, food exporters must utilize temperature monitoring solutions throughout the cold chain transportation.    

 

 

About the Customer:

 

Nina Bakery specializes in producing quality Pita bread and distributing it worldwide. The bakery was founded in 1936 and is one of the leading bakeries in its field. Their unique production method, based on high performance production lines enables freezing of the Pita bread soon after the baking process is complete, resulting in long-lasting freshness. In 2010, Nina Bakery's products won several awards for innovation, taste and quality at the European Fine Food Fair. Their products are well known around the world and are exported to the USA and through the European Union. Nina Bakery's products can be also purchased directly via their Netherlands branch.

  

Key Customer Challenges:

  • Transportation of the frozen Pita bread produced by Nina Bakery to their customers in the USA or Europe requires stable temperature of around -18 �C in order to maintain the frozen Pita bread.
  • The shipment of Nina Bakery's products can take up to one month, depending on the destination.
  • In order to verify the products were stored at the required temperature and haven't defrosted during shipment, Nina Bakery required a temperature monitoring solution that will enable them to monitor the shipment process and produce PDF data reports with alarm indications.    
  
 Click to read more

Research and Markets: Global Healthcare Cold Chain Logistics Market Report & Forecast (2013 to 2018)

 

Cold chain logistic services market is expected to expand from $7.3 billion to nearly US$11.4 billion by 2018.

 
Published: January 6, 2014
Via: Business Wire

   

This new report entitled Global Healthcare Cold Chain Logistics Market Report & Forecast (2013 to 2018), which is the third edition of our highly acclaimed publication, provides a comprehensive insight into the logistic opportunities in the global healthcare market. The study, that has been undertaken using both desk-based and qualitative primary market research, has analyzed three aspects of the global healthcare cold chain logistics market.  

  

Driven by a strong growth in the sales of temperature sensitive healthcare products, the demand for cold chain logistic services is currently experiencing explosive growth. The authors of this report find that the total size of the healthcare cold chain logistic services market is expected to expand from its current figures of US$7.3 billion to nearly US$11.4 billion by 2018.  

  

 To read more 
 
Issue 24
December 2013
In This Issue
Intro
New DataSuite software release
PicoLite Case Study
Market News - Global Healthcare Cold Chain Logistics Market Report & Forecast
Tip of the Month
Tip of the Month
Tip 
 

Calibration Methodology

 

We would like to remind you of the standard calibration methodology for calibrating Fourtec data loggers using the DataSuite software. 

  

Refer to the revised section 17.20: Calibration Overview in the DataSuite user guide for more details.

 

1. Verification of logger accuracy:

 
a. First verify the accuracy of the relevant inputs by running the logger and comparing the input readings against a known, accurate reference
 
b.  If all recorded readings are within their published spec, you may choose to skip calibration. 
If the readings are not within spec, or if they are but you decide to calibrate anyway, proceed to Step 2.
 
2. Logger calibration
 
a. Once you decide that the logger requires calibration, reset the calibration settings of the input/sensor and repeat Step 1a, comparing the logger readings using a reference.
 
b. Once Step 2a is completed and logger readings for relevant inputs/sensors are recorded, proceed to the calibration procedure using the detailed calibration instructions in the user guide sections 17.20.317.20.4 and 17.20.5. 
 
c. Following completion of the calibration procedure, verify the logger readings are now accurate by repeating Step 1a.
If accuracy according to the specifications is still not achieved following the second round of verification, then you may further adjust the readings using the Offset calibration method as described in user guide section 17.20.5.   

 

  

For any questions please contact us via the Fourtec Support page