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Trends in Distribution Simulation Testing


 
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1. Title Title of document Trends in Distribution Simulation Testing
 
2. Creator Author's name, affiliation, country Eric Joneson; Lansmont Corporation, 17 Mandeville Court, Monterey, California; United States
 
2. Creator Author's name, affiliation, country (doi: 10.23953/cloud.ijapt.16)
 
3. Subject Discipline(s)
 
3. Subject Keyword(s) Distribution; Simulation; Data Recorder; Packaged Products; Vibration Testing
 
4. Description Abstract Packaged-product distribution simulation tests are most effective when the damage assessment made from actual supply chain and after laboratory testing achieves high correlation. In order to create effective distribution tests, clear understanding of the distribution environment must be developed and documented. This can be achieved by “walking the system”; making direct observations from within various distribution channels. Challenges associated with thorough and complete supply chain access limits the overall effectiveness of walking the system. One way to address those challenges is to use non-intrusive portable data recorders that can travel within the global supply chain, measuring critical distribution hazards such as shock, vibration, compression, temperature, humidity and other valuable information. This article details trends associated with the growth of advanced simulation testing based upon measured data from within the supply chain.
 
5. Publisher Organizing agency, location
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2014-02-13
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier http://technical.cloud-journals.com/index.php/IJAPT/article/view/Tech-232
 
10. Identifier Digital Object Identifier 10.23953/Tech-232
 
11. Source Journal/conference title; vol., no. (year) International Journal of Advanced Packaging Technology; Vol 2, No 1 (2014)
 
12. Language English=en en
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
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