Pre­dic­tive Main­te­nance and Ser­vice (PdMS) is about bet­ter under­stand­ing asset fail­ure pat­terns and root caus­es, and fix­ing assets at the operator’s con­ve­nience before they fail, at the opti­mal point in their main­te­nance life cycle. This domain brings togeth­er large amounts of machine sen­sor data with busi­ness data like past main­te­nance records, main­te­nance plans, or war­ran­ty cas­es, plus oth­er data such as weath­er or asset loca­tions. SAP uses HANA to inte­grate the data and use sta­tis­tics to pre­dict future asset health and pro­pose busi­ness activ­i­ties. This applies in numer­ous use cas­es to the owner/​operator of an asset (e.g. cre­ate opti­mized main­te­nance plan, improve spare part inven­to­ries, increase pro­duc­tion yield and qual­i­ty), but also the OEM of an asset (e.g. reduce war­ran­ty cas­es, offer new asset health ser­vices), and any asset ser­vice providers/​dealers in between. Few com­pa­nies employ Pre­dic­tive Main­te­nance today, typ­i­cal­ly because inte­grat­ing mas­sive amounts of data and apply­ing advanced sta­tis­tics to it has been a major chal­lenge. This pre­sen­ta­tion will intro­duce PdMS, show what about a twen­ty cus­tomers have done in this domain in an SAP cus­tomer co-inno­va­tion pro­gram, what ben­e­fits they achieved, how addi­tion­al cus­tomers can engage with SAP, and the SAP roadmap.

Speak­er:

Bryan Hicks, SAP