S. J. L. Chua et al.
terviewee is selected from the maintenance and facilities’ maintenance management department of one of the
public univers ity in Malaysia.
The building maintenance department in the university named as Department of Development and Mainten-
ance. The university was established on 18th of May 1970. The structured interview was conducted on 25th of
April 2013 with an assistant head of quantity surveying department. Quantity surveying department deals mat-
ters relating to contracts, thus the interviewee who had 17 years of experience were appropriate to be inter-
viewed because she involved in the decision making process in selecting the most appropriate procurement
strategy. The interview session was held in a meeting room and the all the pairwise comparison judgments was
done and evaluation pro cess was made after discussion.
All the pairwise comparison judgments made in Expert Choice software were synthesis to obtain vector of
priorities. All the vector of priority for main criteria, sub criteria and alternatives were tabulated in Table 2.
Based on the result obtained, the interviewee priority main factor in selecting the most approp riate procurement
metho d for mainte nanc e of a ir-conditioning services are proj ect characteristics (0.540), external environment or
factors (0.297) and clients’ requirements (0.163). The abb reviation used for sub criteria can be referred to Table 3 .
All main criteria judgments consistency ratio (CR) were 0.01 that were less than 0.10 (<0.10) which represent
good consistency.
The result of priority obtained for pairwise comparison among sub criteria under clients’ requirements in se-
lecting the most appropriate procurement method for maintenance of air-conditio ning ser vices and ra nking can
be referred to Table 3. The consistency ratio value is 0.09 which was lesser than 0.10 (<0.10), therefore the
judgments consistency is acceptable. The two sub criteria under project characteristics (C2) which were existing
building condition (C2.1) and project size (C2.2) obtained equally 0.500 priority vector. This result revealed that
existing building condition and project size were equally important when selecting the most appropriate pro-
curement method for maintenance of air-conditioning services. While for objective or policy of organization
(C3.1) and government policy (C3.2) which is under external e nvironment or factors ( C3), the interviewees feel
that policy of organization government policy (0.750) are more important compared to objective or policy of
organization (0.250). Both judgments for sub criteria under C2 and C3 obtained 0.00 (<0.10) consistency ratio,
thus the consistency ratio was accepted.
From Table 2, the r e sult indicated that for sub criteria u nd e r client s’ requirements (C1) that were C1.6, C1.13,
C1.14 and C1.15 has more strength when performing outsourcing by repair and maintenance contract. Sub crite-
ria C1.4, C1.5, C1.7, C1.8, C1.9, C1.10, C1.11, C1.12 and C1.14 perform better under outsourcing by specialist
term contract while none perform better under outsourcing by tendered schedule term contract. There are 3 sub
criteria have more strength under outsourcing by measured term contract which were C1.1, C1.2 and C1.3.
While for sub criteria under project characteristic (C2) and external environment or factor (C3), C2.1, C2.2,
C3.1 and C3.2 perform better under outsourcing by specialist term contract although C3.1 and 3.2 has equally
performance for outsourcing by specialist term contract and outsourcing by repair and maintenance Contract. All
the judgments made obtained value of CR less that 0.10 (<0.10) that was acceptable.
Table 4 revealed vectors of priorities for the alternatives with respect to the main factor and alternatives’
vector of overall priorities. The results indicated that outsourcing by specialist term contract (0.402) was more
preferable among t he four a lterna tives fo r clien ts’ req uireme nts. As t he val ue of co nsistenc y is 0.0 9 < 0.10, the
consistency judgment was acceptable. While for project characteristics (C2), outsourcing by specialist term con-
tract (0.487) was also more preferable. On the other hand, external environment or facto rs (C3) obtained 0.368
priority vector for both outsourcing by specialist term contract and outsourcing by repair and maintenance con-
tract. The consistency ratio for both project characteristics (C2) and external environment or factors (C3) ob-
tained 0.06 (<0.10) consistency ratio that was acceptable.
The vector of overall priorities for the four alternatives as shown in Table 4 indicated that outsourcing by
specialist term contract (0.432) which obtained the highe st of vector of o verall prio rities is the be st procure ment
method maintenance for air-conditioning services in that particular university. This is followed by outsourcing
by repair and maintenance contract (0.300), outsourcing by Measured Term Contract (0.160) and outsourcing by
tendered schedule term contract (0.1 08).
5. Conclusion
The proposed framework was well received by the interviewee and the interviewee admitted that the selection of
the procurement process proposed was decided on a judgmental basis which was not simply based upon pre-