Without a consistent asset management decision structure, comparing asset-related decisions across plants was difficult. Each site applied its own approach, limiting transparency and making prioritization at portfolio level complex.
The absence of a shared framework made it challenging to objectively assess improvement initiatives, investments and long-term asset strategies. This reduced the organization's ability to steer on value and risk at group level.
Plants required flexibility to address site-specific challenges, while central decision-making demanded consistency, comparabillity and alignment with overall asset management objectives.
BASF needed a decision-making framework that not only addressed current decision-making, but also supported long-term performance, scalability and continuous improvement across the asset base.
PDM developed a structured asset management decision framework approach to make both current and desired asset management states transparent and comparable across plants.
For each plant, AS-IS and TO-BE workshops were facilitated to map existing practices and define target states. Plant-specific analysis were carried out and translated into clear decision principles and prioritization criteria.
This enabled BASF to create a uniform decision-making framework that supports objective comparison, portfolio-level steering and consistent resource allocation – while still respecting site-specific contexts.
The new decision-making framework strengthened asset management decision-making across BASF’s plants and enabled better control and portfolio level.
PDM supports asset-intensive organizations in designing and implementing asset management governance models that enable incosistent decision-making, portfolio optimization and long-term perfromance.
We don’t just define frameworks. We translate decision frameworks into practical decision-making that works across sites, disciplines and management levels.
Clear principles and structures to enable consistent, transparent decision-making.
Workshops and analyses that create shared understanding and alignment across plants.
Objective comparison of initiatives to support investment and resource allocation.
Balancing local operational needs with central governance requirements.
Designed to grow with the organization and support long-term asset performance.