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Business-to-business services relating to physical asset management play an increasingly important role in industry. This is in the context of the current pressures that organisations experience in realising optimal value from their assets. Complying with asset management standards such as ISO 55000 contributes towards the importance of these services. This paper summarises the findings from a study identifying the critical success factors for asset management services, and presents a decision support model that provides the asset management community with access to these factors for decision-making and for improving asset management services. OPSOMMINGBesigheid-tot-besigheidsdienste met betrekking tot fisiese batebestuur speel 'n toenemende belangrike rol in die industrie. Dit is te midde van die druk wat batebesittende organisasies tans ondervind om optimale waarde uit hul fisiese bates te verkry. Die strewe om te voldoen aan batebestuurstandaarde soos ISO 55000 dra by tot die belangrikheid van hierdie dienste. Die verhandeling gee 'n opsomming van 'n studie rakende die identifisering van die kritiese suksesfaktore vir batebestuurdienste, en lê 'n besluitnemingsmodel voor wat die batebestuurgemeenskap toegang gee tot hierdie suksesfaktore vir besluitnemingsdoeleindes en vir die verbetering van batebestuurdienste.

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There has been an emphasis shift from maintenance management towards asset management, where the focus is on reliable and operational equipment and on effective assets at optimum life-cycle costs. A challenge in the manufacturing industry is to develop an asset performance management model that is integrated with business processes and strategies. The authors developed the APM 2 model to satisfy that requirement. The model has a generic reference structure and is supported by operational protocols to assist in operations management. It facilitates performance measurement, business integration and continuous improvement, whilst exposing industry to the latest developments in asset performance management.

The quantitative relationships at the performance measurement system (QRPMS) is a methodology for identifying and quantifying relationships between key performance indicators. These relationships present additional information for decision-making purposes. QRPMS employs the Guttman-Kaiser criterion (K1) to complete a critical step during the methodology. This study presents evidence that the K1 criterion has limitations that compromise the reliability of QRPMS's results. An improved QRPMS version is developed, and the results of the existing and improved QRPMS are compared in a mining industry case study. It is shown that the improved QRPMS delivers more accurate and reliable results. OPSOMMING Die quantitative relationships at the performance measurement system (QRPMS) is 'n metodiek om verwantskappe tussen sleutel prestasie-aanwysers te identifiseer en te kwantifiseer. Hierdie verwantskappe bied addisionele inligting vir besluitnemingsdoeleindes. QRPMS maak gebruik van die Guttman-Kaiser kriterium (K1) vir die uitvoering van 'n kritieke stap gedurende die metodiek. Die studie lewer bewys dat die K1 kriterium beperkinge het, wat die betroubaarheid van QRPMS resultate beïnvloed. 'n Verbeterde QRPMS weergawe word ontwikkel, en die resultate van die bestaande en verbeterde QRPMS word vergelyk in 'n mynbouindustrie gevallestudie. Die meer akkurate en betroubare resultate van die verbeterde QRPMS word geïllustreer.