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Refurbishment planning


Figure 3: The Decision-making Matrix.


through a process of comparison and trade-off techniques, a measured and reasoned ‘best fit’ approach is taken. Given the complexity of both a ‘typical’ large hospital, and the refurbishment activity itself, this was identified as the


Table 1. Phase 1: Initial criteria Technical Standards


Scottish Health Technical Memoranda •SHTM 1: Decontamination •SHTM 2: Medical gases •SHTM 3: HVAC


•SHTM 4: Water systems •SHTM 6: Electrical


BREEAM assessment AEDET


Initial agreement


Phase 2: Potential Criteria Initial Agreement Shortlist The 6 facets •Physical condition •Statutory compliance •Environmental management •Space utilisation •Functional suitability •Quality Project-specific criteria


Phase 3: Final Criteria


A Thermal performance Warm roof required U values (W/m2


K)=0.25 (notional building)


B Environmental performance (HTM 07-07 pp 52) SuDS, Green roof, Permeable surfaces etc


C BREEAM requirement D AEDET requirement E Maintenance availability


F Guaranteed source of materials and contractor


G Minimal disruption to services throughout works programme


only realistic means of specifying a suitable sub-element, and, simultaneously, demonstrating that VFM had been considered as far as practicably possible. A key feature of the research approach, and the subsequent design of the prototype, is that each facility and project must be considered as unique, and solutions explored on a case-by-case basis.


L L


L L L L


•SHTM 7: Environment and sustainabilityL •SHTM 8: Specialist services


L L L


Selection of criteria The criteria, in the context of the research, were identified as issues which are ‘of importance to the project, and/or the decision maker’. These may range from legislative and regulatory criterion requirements, to the criteria which may be desired for reasons other than regulation (for example, guaranteed source of materials, or maintenance availability). Selecting the relevant criteria, however, can itself be a challenging exercise for the NHS/PSCP, and so a facilitated and filtered approach was developed to enable consideration of elements ranging from the high-level to the detailed. A three-phase


Table 2. Phase 1: Initial Options Consider similar case studies Activity database Backlog maintenance report Risk profile ranking report Client specifications


Phase 2: Potential options BRE Green Guide to specification Building cost information service Schedule of typical life expectancies Schedule of rates


Proprietary literature


Phase 3: Final Options Assess integration challenges Assess maintenance issues Within funding parameters Meet legal requirements Availability of systems/data


L L L L


approach was used, to consider the Initial, the Potential, and ultimately, the Final, criteria. Table 1 illustrate these respectively. I should make clear that the process is designed to encourage and facilitate team discussion and consensus, and the documents and guidance are included with this strongly in mind. The ‘magnifying glass’ icons provide


direct links and ‘web links’ (where relevant) to the identified documents. Once the final criteria are decided, the user is automatically directed to the next step, which is the selection of potential options.


Selection of options A similar methodology as that described for the selection of criteria is undertaken in identifying a range of potential options. Table 2 illustrate this, although it is highlighted that the GUI has numerous other functions and reference paths, including identification of key product suppliers by product group, and a ‘gateway’ to exploring similar case studies. The Final Options are listed (Table 3),


and the model user is automatically directed to the actual decision-making page, which is ‘ready populated’ with the selected criteria and options shown, derived from the previous steps.


The decision-making phase Figure 3 shows the complete decision- making matrix for a single iteration of the decision-making process. Criteria are compared and ranked, and the Model’s inbuilt formula coding derives a weighting score. Similarly, the range of selected options are scored in terms of performance, and again, pre-defined background coding automatically derives a total score, which identifies the preferred


Table 3. Listing Final options 1 Option A 2 Option B 3 Option C 4 Option D 5 Option E


Health Estate Journal September 2013


41


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