Decision Support Tools Ltd (DST) is the Evaluator Software product division of The Woodhouse Partnership Ltd.
The Decision Support Tools Asset Strategy Evaluator suite is the first of a new generation of technologies to bridge the gap between technical issues and financial justification for what to do, why, and when.
The Woodhouse Asset Management Academy supports the DST education and training program.
The highly interactive nature of the software demands a collaborative workshop approach to ensure that not only are the underlying concepts understood, but they are also converted to real practical capability and value, through first-hand experience of how and when to apply them effectively.
We combine classroom training (or distance learning) with onsite facilitation support of live asset studies to achieve DST User & DST Expert qualifications.
In almost all cases the studies performed, during the training program, reveal benefits that exceed the cost of the whole implementation (training, facilitation, software licensing and support).
Our Decision Support Software Training courses include:
Learning objectives and outcomes
Course content includes:
The SALVO Process
DST Asset Strategy Evaluator – getting started
The DST Workshop Process
Provides real practical insight into the implementation of effective processes for Asset Management, including alignment with organizational objectives and engagement of the workforce, risk management, prioritization, goal-setting, performance monitoring and cross-disciplinary collaboration requirements.
The course content includes:
Introducing the SALVO Process
SALVO Steps 1-3
SALVO Step 4: Individual solution evaluations
SALVO Steps 5: Blending and Bundling
How to structure files in DST for an organisation
DST admin rights setup
Backing up your DST database
DST is a suite of decision support software tools to assist in the cost/risk optimization of physical asset management strategies, particularly when available information is incomplete or uncertain. The tools comprise seven discrete but complementary modules that cover over 40 common types of asset management decisions.
The scope and application of these tools are extremely broad and are often business-critical. However, they are also designed to form part of an integrated decision-making process. This depends on a combination of clear roles, process discipline, and appropriate understanding or competencies in those performing the studies. Adequate training and assurance of competency in those performing DST studies are therefore important parts of providing confidence in the resulting decisions.
This Competency and Certification Framework has been developed to ensure that such appropriate skills are developed and harnessed; it also supports a structured professional development strategy that should be part of any effective continuous improvement programme.
Three levels of understanding and involvement in DST studies are recognized within the Framework. These are identified as:
• DST Certified Experts (DSCE)
• DST Trained Users (DSTU)
• DST Trained Contributors (DSTC).
In each subject area, the Framework covers DSTC, DSTU and DSCE levels of understanding, competency, and certification. Suitable prior skills and experience for each level:
DSTC (DST Trained Contributor)
DSTU (DST Trained User)
DSCE (DST Certified Expert)
We also facilitate SALVO process and DST Modelling workshops:
We will select a suitable diverse range of cases to be studied, from those provided by your organization, for reinforcing/applying the training with an immediate analysis program.
The selection will depend on available knowledge and complexity of the cases (‘do-ability’ in the timescale available). We will also provide an idea of the relevant data or knowledge that would be valuable; if we provide full ‘input data templates’, our experience is that people get intimidated unnecessarily – whereas the ‘live’ capture and pooling of local knowledge is a lot more practical and successful!
The initial session will be used to introduce the underlying concepts and the range of methodologies and tools needed for the different decision types. After this session, we split into more subject-specific modular training/workshops, with appropriate multi-disciplined teams – the relevant team in each case should include, at least, process/operations, design/engineering and maintenance knowledge, and will benefit from some generic information being available (e.g. unit labour costs, production rates and planned/unplanned downtime consequences).
Examples of Good Cases for initial studies include:
Planned maintenance task intervals e.g.
Safety/Functional testing intervals
Minor projects (cost/benefit/risk appraisal)
Major asset life cycle decisions