000 01524cam  2200373zi 4500
0019.872304
003CaOODSP
00520221107163621
006m     o  d f      
007cr |n|||||||||
008190501t20182018oncd   #o    f000 0 eng d
040 |aCaOODSP|beng|erda|cCaOODSP
041 |aeng|bfre
043 |an-cn---
0861 |aD68-2/150-2018E-PDF
1001 |aMaybury, David W., |eauthor.
24510|aPredictive analytics for the Royal Canadian Navy fleet maintenance facilities : |ban application of data science to maintenance task completion times / |cDavid Maybury.
264 1|aOttawa : |bDefence Research and Development Canada = Recherche et développement pour la défense Canada, |c2018.
264 4|c©2018
300 |a1 online resource (ii, 46 pages) : |bcharts.
336 |atext|btxt|2rdacontent
337 |acomputer|bc|2rdamedia
338 |aonline resource|bcr|2rdacarrier
4901 |aScientific report ; |vDRDC-RDDC-2018-R150
500 |aCover title.
500 |a"December 2018."
500 |a"Can unclassified."
504 |aIncludes bibliographical references.
546 |aIncludes abstract in French.
69207|2gccst|aMaintenance
69207|2gccst|aArmed forces
7102 |aDefence R&D Canada. |bCentre for Operational Research and Analysis.
830#0|aScientific report (Defence R&D Canada)|vDRDC-RDDC-2018-R150.|w(CaOODSP)9.802305
85640|qPDF|s1.05 MB|uhttps://publications.gc.ca/collections/collection_2019/rddc-drdc/D68-2-150-2018-eng.pdf