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156 CHAPTER 7 SELECTION OF A BOT PROMOTER 7.1 INTRODUCTION In many developing countries, rapid economic growth is surpassing infrastructure development. Governments in these countries are unable to fund vital infrastructure development and rehabilitation, and are therefore, exploring new infrastructure procurement routes through public- private partnerships (PPPs) by arrangements like BOT. A BOT (Build-Operate-Transfer) project can be described as a project based on the granting of a concession by a client (usually a public or governmental agency) to a consortium or concessionaire (usually in the private sector) who is required to ‘Build’ (including financing, design, managing project implementation, carrying out project procurement, as well as construction), ‘Operate’ (including managing and operating the facility or the plant, carrying out maintenance etc., delivering product/service, and receiving payments to repay the financing and investments costs, and to make a margin of profit) and to ‘Transfer’ the facility or plant in operational condition and at no cost to the client at the end of the concession period. The BOT projects are gaining importance as the private sector not only have a greater credit standing and capacity to finance the large scale projects but also have better and efficient managerial capabilities. If procured properly, the BOT option offers a win-win solution to the government as well as the private sector. From the government’s perspective, private sector funding put in less strain on the government whilst bringing an added advantage of cost and resource efficiency to the project. From the private sector’s perspective, BOT projects present great opportunities to expand investment and earn higher returns.
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CHAPTER 7

SELECTION OF A BOT PROMOTER

7.1 INTRODUCTION

In many developing countries, rapid economic growth is surpassing infrastructure development.

Governments in these countries are unable to fund vital infrastructure development and

rehabilitation, and are therefore, exploring new infrastructure procurement routes through public-

private partnerships (PPPs) by arrangements like BOT. A BOT (Build-Operate-Transfer) project

can be described as a project based on the granting of a concession by a client (usually a public

or governmental agency) to a consortium or concessionaire (usually in the private sector) who is

required to ‘Build’ (including financing, design, managing project implementation, carrying out

project procurement, as well as construction), ‘Operate’ (including managing and operating the

facility or the plant, carrying out maintenance etc., delivering product/service, and receiving

payments to repay the financing and investments costs, and to make a margin of profit) and to

‘Transfer’ the facility or plant in operational condition and at no cost to the client at the end of

the concession period.

The BOT projects are gaining importance as the private sector not only have a greater credit

standing and capacity to finance the large scale projects but also have better and efficient

managerial capabilities. If procured properly, the BOT option offers a win-win solution to the

government as well as the private sector. From the government’s perspective, private sector

funding put in less strain on the government whilst bringing an added advantage of cost and

resource efficiency to the project. From the private sector’s perspective, BOT projects present

great opportunities to expand investment and earn higher returns.

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A significant repositioning of risks between project participants is a striking aspect of the

procurement paradigm of BOT. The risks that are generally assumed by the governments are

transferred to the private sector in BOT projects leading the BOT concessionaire engulfing into

far more and deeper risks than a contractor for traditionally procured projects [76][8][132].

Moreover, the eccentricity of construction is that no two projects are identical in terms of site

conditions, design, use of materials, labor requisite, plants and equipment requirements,

construction methods, technical complexity, and degree of managerial skills required. Further,

under BOT arrangement, the project is also greatly influenced by the political, legal,

environmental, economical and commercial risks. In such a situation, one critical contributor to

the success of a BOT project is the selection of an appropriate concessionaire who has the

capacity to provide the best overall deal throughout the build-operate-transfer process. Further a

number of multi-national financial institutions such as the World Bank and Asian Development

Bank have strongly recommended the use of competitive selection procedure for PPP

infrastructure projects. However, the low-bid, while promoting competition and a transparent fair

playing procedure may not result in the best value for money expended.

The concessionaire selection should therefore involve a selection technique which should give

the best value to the owner. A workable selection technique should clearly indicate the stages

involved in the selection process and what measures to take at each stage [97]. It should enable

evaluators to derive both quantitatively and qualitatively the relative benefits, drawbacks, and

risks involved in each alternative tender. Internationally open competitive tendering is a trend in

the concessionaire selection practices. This open competitive tendering process consists of the

following stages :(1) request for prequalification (RFQ);(2) prequalification; (3) tender

invitation; (4) tender evaluation and short listing; (5) negotiations with short listed bidders; and

(6) selection of best tender and award of concession [73]. The non price factors such as the

financial, technical, managerial capabilities of the promoter are taken into consideration during

the prequalification stage. A major problem that has been encountered in BOT projects is the

time delay during the prequalification stage of the tendering process. The government generally

takes around six months to 1 year time for prequalification of the applicants in the PPP projects.

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Globally, the binary method of selection (selecting consortia) that meets all the pre-established

“must” criteria while rejecting any consortium that fails to satisfy any of these criteria has been

used extensively while short listing the applicants during the pre-qualification process. This

practice does not rank the applicants and as such all the qualified applicants satisfying the “must”

criteria are short listed for further selection process, which in most cases is a very large number,

and the further selection process becomes costlier as well as time consuming.

The industry therefore needs a method which can rank the various promoters so that the number

required for prequalification can be selected. In this chapter a transparent, multi-attribute

decision support system has been developed for addressing the pre-qualification issues such as

the decision criteria analysis, weights assessment and decision model development. Further, a

best value procurement model is developed to select the private sector partner which provides a

balance between the consideration of price and qualifications so as to provide the best value to

public procurer. Sensitivity analysis has been applied which will help the owners/governments to

ensure that the results would be sufficiently robust and due to a slight variation in one or more

weighting factors.

7.2 SELECTION PROCESS

A significant paradigm shift is noticed in project procurement by BOT concepts. In traditional

project the role of the contractor is reactive whereas in BOT project the concessionaire has to

play a proactive role. In traditional project the various function of finance, design, construction

and operation are fragmented and the relationships between various participants are often

confrontational.

Selection of the right concessionaire, which is critical to the success of such BOT-type PPPs,

depends on the quality of identifying and defining suitable project-specific criteria and the

quality of formulating an efficient tender evaluation methodology. The concessionaire of a BOT

project undertakes far more responsibilities and deeper risks than a contractor in a traditional

project. The selection of an appropriate concessionaire is absolutely crucial to the success of any

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BOT project. Therefore, it is necessary to formulate a workable and efficient selection

framework.

The concessionaire is often a consortium (special purpose company) formed for a particular

project and usually has no track record. What make things more complicated in concessionaire

selection is that the concessionaire has more commitments than a mere contractor. In addition to

construction, the concessionaire is also responsible for finance, design, long-term operation and

maintenance, and transfer of the project facilities to the client in operational conditions at the end

of the concession period. The competence of the concessionaire is dependent on the overall

resources and capabilities of the constituent companies, the concessionaire’s ability to formulate

competitive financial and technical packages, and the partnering skills of the proposed project

participants.

The characteristics of BOT type projects and the great commitments and broad risks assumed by

the concessionaire require a best value approach in the selection of an appropriate

concessionaire. In adopting the best value approach, owner/client should clearly define the

objectives it wishes to achieve, the relative importance of each value item, and the contributors

to each value item, and then develop both objective and subjective indicators to evaluate these

contributors. The owner’s objectives should be translated into an appropriate tender evaluation

package that contains a set of criteria and their corresponding value functions. The conflicts may

exist among various objectives in the best value selection scenario, and hence there should be a

trade off according to relative importance of these objectives.

This process is commonly used by governments or their agencies to serve three purposes:

• To obtain the best deal for the public;

• To be fair to all competing promoters; and

• To allow alternative proposals to be considered.

A typical evaluation and selection process in a competitive BOT tender is shown in Figure 7.1.

[73]

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Figure 7.1 : Selection Process in a Competitive Tender of BOT Project [73]

The various competitive tender evaluation methods are described in Table 7.1. [2]

Table 7.1. Competitive Tender Evaluation Methods

Tender Evaluation

Method Brief description

Simple scoring

method

Maximum achievable score points are assigned to each predetermined

selection criterion, against which alternative tenders are evaluated, and a score

is then awarded to each tender for each criterion. The awarded score for each

criterion may range from 0 to the predetermined maximum achievable score

points for that criterion. The total score for a tender is the sum of all awarded

score points for all evaluation criteria. The tender with the highest total score

is chosen as the winning tender.

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NPV method

This method is often used to assess the commercial and financial packages of a

BOT tender. For conforming or equivalent designs, the tender with the lowest

NPV of tolls/tariffs over the concession period is selected as the winning

tender. This method is suitable for projects where there are relatively correct

estimations of the quantities of products or services to be provided by the

project (such as a power or water treatment plant) based on the off-take

agreement. The client may also compare the NPV of the construction,

operation and maintenance costs, and financial charges over the concession

period (or even over the whole project life) for further evaluation.

Multi-attribute

analysis

Various criteria are classified into several criterion packages (e.g., financial,

technical, managerial, legal, and environmental). Each of these packages may

in turn include many sub-criterion packages. According to their relative

importance, varying weights are assigned to each main package and also to

each sub-package within that main package; and maximum available score

points are allocated to each criterion within a main or sub-package. Each

tender proposal is then evaluated against every criterion and awarded a score

for that criterion. The proposal with the highest total weighted score will be

chosen for the BOT concession.

Kepner – Tregoe

decision analysis

technique

This technique includes the following decision stages: formulating a ‘‘decision

statement,’’ identifying and weighting decision objectives (in terms of

‘‘MUST’’ and ‘‘WANT’’ criteria), generating alternatives, evaluating

alternatives against the MUST and WANT criteria, and selecting the most

suitable alternative. The decision statement provides the focus for the

following steps and sets limits in the selection. The MUST and WANT criteria

identify specific requirements of the decision. The MUST criteria function as a

screen to eliminate failure-prone alternatives by a ‘‘Yes-or-No’’ judgment.

Then, the remaining alternatives will be judged on their relative performance

against WANT criteria. The WANT criteria give the evaluator a comparative

picture of the remaining alternatives.

Two-envelope Price is submitted in a separate envelope. Tenders are assessed on non-price

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method criteria first. Then, the price envelope of the highest scoring proposal based on

non-price criteria is opened. If its price is within government’s budget (not

known to tenderers) then the contract is awarded to the highest scorer.

NPV method +

scoring method

Then NPV method is used for financial evaluation while the weighted point

scoring method is used for qualitative evaluation.

Binary method +

NPV method

Tenders are first evaluated against pre-established ‘‘MUST’’ criteria via the

binary method. Any tender failing to satisfy any ‘‘MUST’’ criteria is rejected.

Then, remaining tenders are evaluated against the NPV method.

In this research we have developed a two stage promoter selection process, it includes a

prequalification (short listing stage) as well as a bid evaluation stage. Since in the bid evaluation

stage the shortlisted bidders are required to specify only the amount of their bid and all other

parameters are fixed, the competence of the bidders has to be taken care of only during the

prequalification (short listing stage). If the shortlisted bidders are already available then the

prequalification is not needed and the BOT promoter can be selected only in one stage. A best

value model based on project specific characteristics has also been developed in which factors

other than price can also been considered to provide the best value for the money spent to the

facility procurer.

7.3 BEST-VALUE MODEL CONCEPTS

The majority of public sector construction contracts are awarded on a low bid basis. While the

low bid has promoted open competition and a fair playing field but it may not result in the best

value or the best performance during and after the construction. As noted by Scott the low bid

system encourages contractor to implement the cost cutting measures instead of quality

enhancing measures and therefore makes it less likely that contracts will be awarded to the best

performing contractors who will deliver the optimum quality projects.

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The best value procurement is viewed as a balanced between the consideration of price and

qualifications so as to provide the best value to the owner. The NCHRP 10-61 research study

recommends a few basic strategies to implement in the area of Best Value Procurement. The goal

for best value selection is to obtain the optimum combination of price and technical capabilities

of a contractor. However, owners should base best value selection criteria only on the project

elements that add measurable value to the project.

A definition of Best Value Procurement for construction is suggested as follows: “a procurement

process where price and other key factors are considered in the evaluation and selection process

to minimize impacts and enhance the long term performance and value of construction.”

7.4 DEVELOPMENT OF BEST VALUE PROCUREMENT METHODS

The best value model concept is shown in figure 7.2

Figure7.2 Best Value Model Concept

The following are the two best value procurement methods which can be implemented in the

following manner:-

i. One Step Best value Procurement: in these types of projects the owner determines that

there is no advantage to shortlist and prequalify the bidders through a competitive screening

system. The step by step procedure is as follows :

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a. Owner select the best value parameters for a given project and then selects best value

evaluation criteria associated with chosen best value parameter.

b. A best value rating (scoring system) is selected.

c. A best value award algorithm is then selected and a Request for Proposal (RFP) is published

detailing both award algorithm and the requirements to submit the information and

documentation to be a responsive best value bidder.

d. An evaluation panel can be form to conduct the best value proposals.

e. Proposals are then received and evaluated in accordance with the published evaluation plan

and the award is made using the selected best value award algorithm.

ii. Two Step Best Value Procurement: This method is for those projects where the bidders are

shortlisted through a competitive screening system. The two phase best value procurement

generally has the following steps:

f. From the qualifications and quality information a best qualified bidders are shortlisted. This

is done by publishing a Request for Qualification (RFQ) for each individual project using

evaluation criteria. For each evaluation criteria a measurable standard is developed to

measure the qualification.

g. List of prequalified bidders will be announced after evaluating the statements of

qualifications (SOQ).

h. A best value RFP will be published giving in detail both the award algorithm and the method

by which the step 1 qualifications will be carried over into the final evaluation.

i. The evaluation panel will evaluate all responsible proposals in accordance with the published

evaluation panel and the award will be made accordingly.

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he decision model is shown in figure 7.3 and the algorithm for the award is as follows.

Figure7.3. Decision Model of determining the successful offeror using qualitative cost technical

trade off.

Trade off analysis not only considers the rating and scores but the competing proposals are

analyzed by the selection officials and therefore it depends on the subjectivity and the judgment

of the selecting officials.

Weighted Criteria for both Price and Technical. In this algorithm the technical proposal and the

price proposal are evaluated simultaneously. A generic algorithm is as follows. The general

equation for the best value is shown as follows [101]

n

BVj = ∑ PSi Wi

i=1

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Where, BVj= best value for contractor j; n = number of parameters included in the best value

equations; PSi = parameter i scale; and Wi = weight of parameter i.

The offeror with the highest best value score is selected.

However, the best value score can be obtained by the analytical hierarchy process where the

various criteria are grouped into a progressively few groups to ultimately form a single criterion.

7.5 PREQUALIFICATION

As indicated in type I algorithm the final award decision is based on price and hence in most of

the countries including India prequalification process is adopted to shortlist capable bidders who

can provide best value to the owner/ public procurer. Like the traditional public sector

construction contracts, some form of pre-qualification is adopted for most BOT projects in

countries such as Australia, Canada, The Philippines, UK, USA, and India. The main aim of the

request of qualification (RFQ) is to shortlist a number of competitive proposals by consortia

which consist of reputable and experienced contractors, operators and bankers. In a competitive

tender for BOT concession, the number of promoters for the BOT contract may be limited due to

the technical, financial, and/or sometimes political constraints imposed upon the promoters.

As a general practice, detailed submissions are not sought in initial responses to an invitation to

develop a major infrastructure project. The preferred option is to identify the characteristics of

the companies or consortia submitting and from this develop a “shortlist” of perhaps 7 or 8

bidders. This procedure ensures that unsuccessful bidders are not required to incur unnecessary

costs. The pre-qualification process will therefore ascertain the financial, technical and

managerial ability of each consortium in undertaking the project.

For governments in some countries such as Malaysia, Hong Kong and Thailand, it is not the

practice to carry out pre-qualification of BOT promoters. In these countries, the invitation to

tender for a BOT project is announced in the newspapers and interested promoters are generally

given a period of 3-4 months to prepare detailed submissions. The reasons for these governments

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following this approach is that they believe that the scale of investments required for BOT

projects and the keen competition will deter small companies from submitting proposals. Instead,

it will attract only serious promoters who are financially strong. [95].

7.5.1 Request for Qualification in India.

In India, pre-qualification process is adopted to shortlist eligible bidders for the BOT projects.

The criteria of evaluation along with the schedule of bidding process are described in the RFQ

document. Most of the central government departments such as NHAI, Railways, Ministry of

Surface Transport and various state government departments such as Housing Boards, Municipal

Corporations, State Road Development Authorities etc. and various public sector undertakings

are using this route to develop their infrastructure facilities.

The document includes (i) Project brief, (ii) Instructions to applicant, (iii) Criteria for evaluation

and evaluating methodology, (iv) Schedule of bidding process, (v) Formats for application giving

eligibility details.

For developing an integrated township project under PPP concept the applicant’s competence

and capability has to be established based on the following parameters :

i. Technical experience

ii. Financial capability in terms of

a. Net worth

b. Net cash accruals

c. Annual income

The following is a list of documents normally asked to be submitted as part of the application :

i. Letter of Application, duly completed and signed by the applicant

ii. General information about the applicant with company profile, memorandum and articles

of association, etc.

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iii. Joint bidding agreement (applicable if a application is submitted by a consortium of

firms)

iv. Power of attorney for appointing lead member (applicable for a consortium)

v. Power of attorney in favour of the authorized signatory to application documents duly

attested by notary public.

vi. Information on litigation

vii. Information for technical qualification including supporting details.

viii. Information for financial qualification.

ix. Net worth certificate from the statutory auditors

x. Audited annual reports for the last 3 financial years.

xi. Undertakings from applicant firm/member of consortium; and holding/subsidiary

company (applicable for firms relying upon the experience of their holding or subsidiary

company)

xii. In case of a consortium, relevant information listed above shall be submitted for each

member.

xiii. The original RFQ document issued to the applicant, duly initialed on all pages by the

authorized signatory as a token of acceptance.

7.5.2 Prequalification Criteria

In general a two stage contractor selection process is adopted. In the first stage the non price

factors are considered to shortlist the promoters. This necessitates the establishment of a set of

appropriate selection criteria. Contractor prequalification is a typical multi attribute decision

making process involving a set of appropriate selection criteria. The issues involved include

weight assessment of various decision criteria where in relative importance of criteria and

evaluation of criteria assigned by decision makers are assigned both tangible and/or intangible

variables. These criteria are identified through a systematic research approach that includes

1. literature review of previous studies for PPPs and other type of contracts,

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2. Experience and lessons learnt from worldwide PPP practices and

3. Interviews/ correspondences/ postal surveys with international PPP experts and

experienced practitioners.

The binary method of selection (selecting consortia) that meets all the pre-established “must”

criteria while rejecting any consortium that fails to satisfy any of these criteria has been used

extensively while short listing the applicants during the pre-qualification process in India. This

practice does not rank the applicants and as such all the qualified applicants satisfying the “must”

criteria are shortlisted for further selection process, which in most cases is a very large number,

and the further selection process becomes costlier as well as time consuming.

Further mostly only two “must” criteria are used – (i) Financial capability and (ii) technical

experience of the consortia. This process does not provide any weightage to an entrepreneur who

may provide a leading role to manage the projects.

Lessons have been learned from some failed PPP projects, such as the two BOT transportation

projects in Thailand and the failure of Malaysia’s privatized national sewerage project. The

failure of this sewerage project was due to a number of reasons (Zhang 2005a) :

i. The lack of competition and transparency in the selection of the concessionaire.

ii. Low equity - debt ratio

iii. Over generous “safety nets” extended to the concessionaire by the government.

iv. Inefficiencies and management blunders of the concessionaire.

v. Frequent change of ownership of the concession company in a short period.

vi. Strong public opposition.

This shows clearly that the managerial capacity of the promoter/concessionaire is also an

important criterion which should be included at the pre-qualification stage. The short listing

evaluation process should use the multi attribute analysis method instead of the binary method

and should rank the applicants so that a predetermined number be included from the list in the

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order of their rank for further selection process. The procedure should be transparent and known

to all participants before submitting the proposal. In the subsequent section a multi attribute

method has been developed to select and rank the bidders/applicants.

7.5.3 Development of multi attribute method of ranking

The prequalification process is mainly aimed at reducing the number of interested consortia to a

shortlist (e.g., of seven or eight), each consisting of reputable and experienced contractors,

operators, and investors. Apart from additional commercial evaluations, compared with the DBB

approach, a much longer time horizon and more complicated contractual and financial

relationships need to be assessed in the tender for a BOT project.

7.5.4 Methodology of evaluation

The problem of evaluation of applicants reduces to that of a problem of multi attribute decision-

making where there could be conflicting objectives having different importance (weights) to the

owner. The methodology organizes the problem in the following sequential format:

• Step 1: Define basic criteria

• Step 2: Group basic criteria in to progressively fewer groups to ultimately

form a single criteria.

• Step 3: Rank the applicants.

• Step 4: Sensitivity Analysis. The sensitivity analysis is made to see the effect

of altering the weights of the criteria on the ranking of the alternatives.

7.5.5 Generation of a Four Package Criterion Set

The critical success factors identified in previous studies, evaluation criteria used in worldwide

PPP projects, and experience and lessons from international PPP practices enabled the

generalization of a four package criteria set for evaluation of the applicants. The four packages

considered are :

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Entrepreneural package Environmental package

FP1 net worth TP1 Experience of doing similar projects EP1 Leadership and entrepreneurshipEP1 Qualifications/ experience of safety, health and environmental personnel

FP2 Average Annual turnover TP2 Experience of other projects EP2 Project management skills EP2 Past health and safety performance

FP3 Annual Income TP3 Plants and equipments owned EP3 Risk management system EP3 ISO 14000 Certifications

FP4 Loan Agreement TP4 Strong and capable project teamEP4 Contractual relationships among participants

FP5 Equity - debt ratio TP5 Project organization structure

Technical packageFinancial PackageManagerial package

(i) Financial package consisting of five basic criteria

(ii) Technical package consisting of five basic criteria

(iii) Managerial Entrepreneur package consisting of four basic criteria

(iv) Managerial Environment package consisting of three basic criteria

The last two managerial packages are grouped into one package at the second level along with

the financial and technical packages. The details of these criteria are given in table 7.2. the

hierarchy is shown in figure7.4.

Table 7.2 : Evaluation Packages For Short Listing

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Figure7.4. Hierarchy of criteria for short listing/ prequalification

7.5.6 Development of the AHP model

The hierarchy developed consists of 5 levels as shown in figure7.4. The top level represents the

goal of ranking the project promoter. The last level is represented by the various alternatives that

is the promoters. The objectives of prioritizing the promoters is according to how they meet the

requirements as represented by the three major categories of financial, technical and managerial

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preferences. Thus, these objectives are assigned to the level just below the top level. The third

level constitutes the sub categories of only one major objective - managerial and at fourth level

constitutes the sub categories of these two major objectives and two sub objectives of the third

major objective. Fifth level constitutes all the alternatives that is all the promoters.

7.5.7 Procedure of the AHP Model

AHP model require determining the relative importance of each of the element in the hierarchy.

Each element in the level is compared with other elements at the same level pair wise based on

the scale of 1 to 9 as per the definitions of the weight given in table 3.1. Pair wise comparisons

are made to the three second level elements of the model hierarchy with respect to the overall

goal of the model of selecting the best promoter as shown in table7.3. The experts in this

particular case assigned a weight of 2 for financial package compared with technical package.

Thus, the experts considered the financial package to have equal to weak importance than the

technical package. From this matrix the normalized priority values of the three elements can be

computed as shown in table 7.3

Table7.3 Relative weights at level 2.

SYNTHESIZE MATRIX PRIORITY

VECTOR FP TP MP FP TP MP

FP 1.00 2.00 6.00 0.60 0.60 0.60 0.60

TP 0.50 1.00 3.00 0.30 0.30 0.30 0.30

MP 0.17 0.33 1.00 0.10 0.10 0.10 0.10

In similar manner the elements in the third level of the hierarchy are compared pair wise to their

associated factors of the second level. For example the entrepreneur (EP1) and environment

(EP2) are compared with respect to the managerial package. The comparison values are shown in

table 7.4 with the priorities listed in the last column.

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FP1 FP2 FP3 FP4 FP5PRIORITY VECTOR

RANKING VECTOR

FP1 1.00 2.00 2.00 1.00 1.00 0.25 0.25 0.25 0.25 0.25 0.250 1.00

FP2 0.50 1.00 1.00 0.50 0.50 0.13 0.13 0.13 0.13 0.13 0.125 0.50

FP3 0.50 1.00 1.00 0.50 0.50 0.13 0.13 0.13 0.13 0.13 0.125 0.50

FP4 1.00 2.00 2.00 1.00 1.00 0.25 0.25 0.25 0.25 0.25 0.250 1.00

FP5 1.00 2.00 2.00 1.00 1.00 0.25 0.25 0.25 0.25 0.25 0.250 1.00

SYNTHESIZED MATRIX

TP1 TP2 TP3 TP4 TP5 TP1 TP2 TP3 TP4 TP5

TP1 1.00 2.00 2.00 1.50 0.65 0.24 0.24 0.24 0.24 0.24 0.238 1.00

TP2 0.50 1.00 1.00 0.75 0.33 0.12 0.12 0.12 0.12 0.12 0.119 0.50

TP3 0.50 1.00 1.00 0.75 0.33 0.12 0.12 0.12 0.12 0.12 0.119 0.50

TP4 0.67 1.33 1.33 1.00 0.43 0.16 0.16 0.16 0.16 0.16 0.159 0.67

TP5 1.54 3.08 3.08 2.31 1.00 0.37 0.37 0.37 0.37 0.37 0.366 1.54

PRIORITY VECTOR

RANKING VECTOR

SYNTHESIZE MATRIX

Table 7.4 Relative importance at level 3 for managerial package consisting entrepreneur (EP1)

and environment (EP”2) criteria.

SYNTHESIZE

MATRIX PRIORITY

VECTOR

RANKING

VECTOR EP1 EP2 EP1 EP2

EP1 1.00 2.00 0.67 0.67 0.67 1.00

EP”2 0.50 1.00 0.33 0.33 0.33 0.50

The pair wise comparison matrix, synthesized matrix, priority vectors and ranking vectors at

level 4 for Financial, Technical and managerial sub-package are shown in Table 7.5 to 7.8 with

their priority vector in the second last column.

Table 7.5 Relative importance at level 4 for financial package

Table 7.6 Relative importance at level 4 for Technical sub package

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EP1 EP2 EP3 EP4PRIORITY VECTOR

RANKING VECTOR

EP1 1.00 2.00 3.00 2.25 0.44 0.44 0.44 0.44 0.439 1.00

EP2 0.50 1.00 1.50 1.13 0.22 0.22 0.22 0.22 0.220 0.50

EP3 0.33 0.67 1.00 0.75 0.15 0.15 0.15 0.15 0.146 0.33

EP4 0.44 0.89 1.33 1.00 0.20 0.20 0.20 0.20 0.195 0.89

SYNTHESIZED MATRIX

EP1 EP2 EP3PRIORITY VECTOR

RANKING VECTOR

EP1 1.00 2.00 3.00 0.55 0.55 0.55 0.545 1.00

EP2 0.50 1.00 1.50 0.27 0.27 0.27 0.273 0.50

EP3 0.33 0.67 1.00 0.18 0.18 0.18 0.182 0.33

SYNTHESIZED MATRIX

Table 7.7 Relative importance at level 4 for managerial – entrepreneur sub package

Table 7.8 Relative importance at level 4 for managerial - environment sub package

The relative importance of various promoters with respect to various basic criteria at level 5 are

compared by pair wise comparison matrix and their preferences with respect to promoters

(alternatives) are obtained and are shown in tables 7.9 to 7.12. The four promoters are

represented by P1, P2, P3 and P4.

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FP1 P1 P2 P3 P4PRIORITY VECTOR

RANKING VECTOR

P1 1.00 0.65 0.80 1.00 P1 0.21 0.21 0.21 0.21 0.209 0.65

P2 1.54 1.00 1.23 1.54 P2 0.32 0.32 0.32 0.32 0.321 1.00

P3 1.25 0.81 1.00 1.25 P3 0.26 0.26 0.26 0.26 0.261 0.81

P4 1.00 0.65 0.80 1.00 P4 0.21 0.21 0.21 0.21 0.209 0.65

SYNTHESIZED MATRIX

FP2 P1 P2 P3 P4PRIORITY VECTOR

RANKING VECTOR

P1 1.00 0.50 0.50 1.50 P1 0.18 0.18 0.18 0.18 0.176 0.50

P2 2.00 1.00 1.00 3.00 P2 0.35 0.35 0.35 0.35 0.353 1.00

P3 2.00 1.00 1.00 3.00 P3 0.35 0.35 0.35 0.35 0.353 1.00

P4 0.67 0.33 0.33 1.00 P4 0.12 0.12 0.12 0.12 0.118 0.33

SYNTHESIZED MATRIX

FP3 P1 P2 P3 P4PRIORITY VECTOR

RANKING VECTOR

P1 1.00 0.50 0.50 1.50 P1 0.18 0.18 0.18 0.18 0.176 0.50

P2 2.00 1.00 1.00 3.00 P2 0.35 0.35 0.35 0.35 0.353 1.00

P3 2.00 1.00 1.00 3.00 P3 0.35 0.35 0.35 0.35 0.353 1.00

P4 0.67 0.33 0.33 1.00 P4 0.12 0.12 0.12 0.12 0.118 0.33

SYNTHESIZED MATRIX

FP4 P1 P2 P3 P4PRIORITY VECTOR

RANKING VECTOR

P1 1.00 0.40 0.40 1.50 P1 0.15 0.15 0.15 0.15 0.150 0.40

P2 2.50 1.00 1.00 3.75 P2 0.38 0.38 0.38 0.38 0.375 1.00

P3 2.50 1.00 1.00 3.75 P3 0.38 0.38 0.38 0.38 0.375 1.00

P4 0.67 0.27 0.27 1.00 P4 0.10 0.10 0.10 0.10 0.100 0.27

SYNTHESIZED MATRIX

FP5 P1 P2 P3 P4PRIORITY VECTOR

RANKING VECTOR

P1 1.00 0.50 0.50 1.50 P1 0.18 0.18 0.18 0.18 0.176 0.50

P2 2.00 1.00 1.00 3.00 P2 0.35 0.35 0.35 0.35 0.353 1.00

P3 2.00 1.00 1.00 3.00 P3 0.35 0.35 0.35 0.35 0.353 1.00

P4 0.67 0.33 0.33 1.00 P4 0.12 0.12 0.12 0.12 0.118 0.33

SYNTHESIZED MATRIX

Tables7.9 Comparison matrix for promoters at level 5 for Financial package FP1 to FP5

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TP1 P1 P2 P3 P4PRIORITY VECTOR

RANKING VECTOR

P1 1.00 2.00 2.00 1.50 P1 0.38 0.38 0.38 0.38 0.375 1.00

P2 0.50 1.00 1.00 0.75 P2 0.19 0.19 0.19 0.19 0.188 0.50

P3 0.50 1.00 1.00 0.75 P3 0.19 0.19 0.19 0.19 0.188 0.50

P4 0.67 1.33 1.33 1.00 P4 0.25 0.25 0.25 0.25 0.250 0.67

SYNTHESIZED MATRIX

TP2 P1 P2 P3 P4PRIORITY VECTOR

RANKING VECTOR

P1 1.00 3.00 3.00 1.50 P1 0.43 0.43 0.43 0.43 0.429 1.00

P2 0.33 1.00 1.00 0.50 P2 0.14 0.14 0.14 0.14 0.143 0.33

P3 0.33 1.00 1.00 0.50 P3 0.14 0.14 0.14 0.14 0.143 0.33

P4 0.67 2.00 2.00 1.00 P4 0.29 0.29 0.29 0.29 0.286 0.67

SYNTHESIZED MATRIX

TP3 P1 P2 P3 P4PRIORITY VECTOR

RANKING VECTOR

P1 1.00 0.50 1.00 2.00 P1 0.22 0.22 0.22 0.22 0.222 0.50

P2 2.00 1.00 2.00 4.00 P2 0.44 0.44 0.44 0.44 0.444 1.00

P3 1.00 0.50 1.00 2.00 P3 0.22 0.22 0.22 0.22 0.222 0.50

P4 0.50 0.25 0.50 1.00 P4 0.11 0.11 0.11 0.11 0.111 0.25

SYNTHESIZED MATRIX

TP4 P1 P2 P3 P4PRIORITY VECTOR

RANKING VECTOR

P1 1.00 4.00 4.00 2.00 P1 0.50 0.50 0.50 0.50 0.500 1.00

P2 0.25 1.00 1.00 0.50 P2 0.13 0.13 0.13 0.13 0.125 0.25

P3 0.25 1.00 1.00 0.50 P3 0.13 0.13 0.13 0.13 0.125 0.25

P4 0.50 2.00 2.00 1.00 P4 0.25 0.25 0.25 0.25 0.250 0.50

SYNTHESIZED MATRIX

TP5 P1 P2 P3 P4PRIORITY VECTOR

RANKING VECTOR

P1 1.00 4.00 4.00 2.00 P1 0.50 0.50 0.50 0.50 0.500 1.00

P2 0.25 1.00 1.00 0.50 P2 0.13 0.13 0.13 0.13 0.125 0.25

P3 0.25 1.00 1.00 0.50 P3 0.13 0.13 0.13 0.13 0.125 0.25

P4 0.50 2.00 2.00 1.00 P4 0.25 0.25 0.25 0.25 0.250 0.50

SYNTHESIZED MATRIX

Table 7.10 Comparison matrix for promoters at level 5 for Technical package TP1 to TP5

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MP-EP1 P1 P2 P3 P4PRIORITY VECTOR

RANKING VECTOR

P1 1.00 1.00 1.00 1.50 P1 0.27 0.27 0.27 0.27 0.273 1.00

P2 1.00 1.00 1.00 1.50 P2 0.27 0.27 0.27 0.27 0.273 1.00

P3 1.00 1.00 1.00 1.50 P3 0.27 0.27 0.27 0.27 0.273 1.00

SYNTHESIZED MATRIX

MP-EP2 P1 P2 P3 P4PRIORITY VECTOR

RANKING VECTOR

P1 1.00 2.00 2.00 1.50 P1 0.38 0.38 0.38 0.38 0.375 1.00

P2 0.50 1.00 1.00 0.75 P2 0.19 0.19 0.19 0.19 0.188 0.50

P3 0.50 1.00 1.00 0.75 P3 0.19 0.19 0.19 0.19 0.188 0.50

P4 0.67 1.33 1.33 1.00 P4 0.25 0.25 0.25 0.25 0.250 0.67

SYNTHESIZED MATRIX

MP-EP3 P1 P2 P3 P4PRIORITY VECTOR

RANKING VECTOR

P1 1.00 0.50 1.00 1.50 P1 0.21 0.21 0.21 0.21 0.214 0.50

P2 2.00 1.00 2.00 3.00 P2 0.43 0.43 0.43 0.43 0.429 1.00

P3 1.00 0.50 1.00 1.50 P3 0.21 0.21 0.21 0.21 0.214 0.50

P4 0.67 0.33 0.67 1.00 P4 0.14 0.14 0.14 0.14 0.143 0.33

SYNTHESIZED MATRIX

MP-EP4 P1 P2 P3 P4PRIORITY VECTOR

RANKING VECTOR

P1 1.00 2.00 2.00 1.50 P1 0.38 0.38 0.38 0.38 0.375 1.00

P2 0.50 1.00 1.00 0.75 P2 0.19 0.19 0.19 0.19 0.188 0.50

P3 0.50 1.00 1.00 0.75 P3 0.19 0.19 0.19 0.19 0.188 0.50

P4 0.67 1.33 1.33 1.00 P4 0.25 0.25 0.25 0.25 0.250 0.67

SYNTHESIZED MATRIX

MP-EP1 P1 P2 P3 P4PRIORITY VECTOR

RANKING VECTOR

P1 1.00 0.50 0.50 1.50 P1 0.18 0.18 0.18 0.18 0.176 0.50

P2 2.00 1.00 1.00 3.00 P2 0.35 0.35 0.35 0.35 0.353 1.00

P3 2.00 1.00 1.00 3.00 P3 0.35 0.35 0.35 0.35 0.353 1.00

P4 0.67 0.33 0.33 1.00 P4 0.12 0.12 0.12 0.12 0.118 0.33

SYNTHESIZED MATRIX

Table 7.11 Comparison matrix for promoters at level 5 for Managerial - entrepreneur package

EP1 to EP4

Table 7.12 Comparison matrix for promoters at level 5 for Managerial - environment package

EP1 to EP3

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MP-EP2 P1 P2 P3 P4PRIORITY VECTOR

RANKING VECTOR

P1 1.00 2.00 2.00 1.50 P1 0.38 0.38 0.38 0.38 0.375 1.00

P2 0.50 1.00 1.00 0.75 P2 0.19 0.19 0.19 0.19 0.188 0.50

P3 0.50 1.00 1.00 0.75 P3 0.19 0.19 0.19 0.19 0.188 0.50

P4 0.67 1.33 1.33 1.00 P4 0.25 0.25 0.25 0.25 0.250 0.67

SYNTHESIZED MATRIX

MP-EP3 P1 P2 P3 P4PRIORITY VECTOR

RANKING VECTOR

P1 1.00 0.50 0.50 1.50 P1 0.18 0.18 0.18 0.18 0.176 0.50

P2 2.00 1.00 1.00 3.00 P2 0.35 0.35 0.35 0.35 0.353 1.00

P3 2.00 1.00 1.00 3.00 P3 0.35 0.35 0.35 0.35 0.353 1.00

P4 0.67 0.33 0.33 1.00 P4 0.12 0.12 0.12 0.12 0.118 0.33

SYNTHESIZED MATRIX

FP 1 0.21 0.32 0.26 0.21

FP2 0.18 0.35 0.35 0.12

FP3 0.18 0.35 0.35 0.12

FP 4 0.15 0.38 0.38 0.10

FP 5 0.18 0.35 0.35 0.12

TP1 0.38 0.19 0.19 0.25

TP2 0.43 0.14 0.14 0.29

TP3 0.22 0.44 0.22 0.11

TP4 0.50 0.13 0.13 0.25

TP5 0.50 0.13 0.13 0.25

EP1 0.27 0.27 0.27 0.18

EP2 0.38 0.19 0.19 0.25

EP3 0.21 0.43 0.21 0.14

EP4 0.38 0.19 0.19 0.25

EP1 0.18 0.35 0.35 0.12

EP2 0.38 0.19 0.19 0.25

EP3 0.18 0.35 0.35 0.12

Attributes Promoter 1 Promoter 2 Promoter 3 Promoter 4

7.6 AGGREGATION PROCEDURE

The weights matrix for various alternatives (Promoters) and the weights for various packages are

shown in Table 7. 13.

Table 7.13. Weights of various alternatives (Promoters)

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7.6.1 Ranking the Applicants

After obtaining the relative importance matrix of applicant promoters with respect to the various

attributes and their relative weights at level 4, level 3 and level 2, the aggregated score of each

promoter is calculated as follows :

For example, if the weights at level 2 for managerial package = 0.1 (entrepreneur – 0.67 and

environment – 0.33), weight for financial package = 0.6 and weight for technical package = 0.3,

and weights at level 3 and 4 are as shown in second last column of tables 7.4 to 7.8. And at level

5 as shown in table 7.13 then,

Aggregate score of Promoter 1

= 0.6 [0.21 x 0.25 + 0.18 x 0.13 + 0.18 x 0.13 + 0.15 x 0.25 + 0.18 x 0.25] + 0.3 [0.38 x 0.24 +

0.43 x 0.12 + 0.22 x 0.12 + 0.5 x 0.16 + 0.5 x 0.37] + 0.1 x 0.67 [0.27 x 0.44 + 0.38 x 0.22 +

0.21 x 0.15 + 0.38 x 0.20] + 0.1 x 0.33 [0.18 x 0.44 + 0.38 x 0.22 + 0.18 x 0.15] = 0.26

Aggregate score of Promoter 2

= 0.6 [0.32 x 0.25 + 0.35 x 0.13 + 0.35 x 0.13 + 0.38 x 0.25 + 0.35 x 0.25] + 0.3 [0.18 x 0.24 +

0.14 x 0.12 + 0.44 x 0.12 + 0.13 x 0.16 + 0.13 x 0.37] + 0.1 x 0.67 [0.27 x 0.44 + 0.19 x 0.22 +

0.43 x 0.15 + 0.19 x 0.20] + 0.1 x 0.33 [0.35 x 0.44 + 0.19 x 0.22 + 0.35 x 0.15] = 0.29

Aggregate score of Promoter 3

= 0.6 [0.26 x 0.25 + 0.35 x 0.13 + 0.35 x 0.13 + 0.38 x 0.25 + 0.35 x 0.25] + 0.3 [0.19 x 0.24 +

0.14 x 0.12 + 0.22 x 0.12 + 0.13 x 0.16 + 0.13 x 0.37] + 0.1 x 0.67 [0.27 x 0.44 + 0.19 x 0.22 +

0.21 x 0.15 + 0.19 x 0.20] + 0.1 x 0.33 [0.35 x 0.44 + 0.19 x 0.22 + 0.35 x 0.15]= 0.27

Aggregate score of Promoter 4

= 0.6 [0.21 x 0.25 + 0.12 x 0.13 + 0.12 x 0.13 + 0.10 x 0.25 + 0.12 x 0.25] + 0.3 [0.25 x 0.24 +

0.29 x 0.12 + 0.11 x 0.12 + 0.25 x 0.16 + 0.25 x 0.37] + 0.1 x 0.67 [0.18 x 0.44 + 0.25 x 0.22 +

0.14 x 0.15 + 0.25 x 0.20] + 0.1 x 0.33 [0.12 x 0.44 + 0.25 x 0.22 + 0.12 x 0.15]= 0.17

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Through the aggregation process the alternatives can be prioritized as shown in Table 7.14. The

promoter P2 having the highest aggregate score is ranked at number 1.

Table 7.14: Ranking of Applicant Promoters

S.NO PROMOTER NAME AGGREGATE SCORE RANK

1 PROMOTER 1 0.26 3

2 PROMOTER 2 0.29 1

3 PROMOTER 3 0.27 2

4 PROMOTER 4 0.17 4

7.7 SENSITIVITY ANALYSIS

The owner/governments may wish to know as to how the ranking of applicants will change, if

the weights assigned to criteria at various levels are altered. The sensitivity analysis is made by

altering the weights of criteria at level 2 and level 3. By keeping one of the weights as constant

(say management package and its sub packages), the weights of the other criteria are varied from

0.1 to 0.8. The variation of aggregated value of promoters can be obtained and a graph can be

plotted for each constant value of management package weight and changing the weights of

financial package and technical package. Table 7.15 to 7.22 gives the score values of promoters

for different values of weights of financial package and technical package and value of

management package changing from 0.1(sub package value 0.067 and 0.033) to 0.8 (sub package

value 0.536 and 0.264) respectively. The graph showing the variation of aggregate score values

with respect to each table is shown in Figure 7.5 to Figure 7.12. MS-Excel has been used for the

sensitivity analysis.

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weight for financial package 0.10 0.20 0.30 0.40 0.50 0.60 0.70 0.80

weight for Technical package 0.80 0.70 0.60 0.50 0.40 0.30 0.20 0.10

Promoter 1 0.39 0.36 0.34 0.31 0.29 0.26 0.24 0.21Promoter 2 0.21 0.22 0.24 0.26 0.27 0.29 0.31 0.33Promoter 3 0.18 0.20 0.22 0.24 0.25 0.27 0.29 0.31Promoter 4 0.22 0.21 0.20 0.19 0.18 0.17 0.16 0.15

weight for managerial Package EP1 - 0.067 and EP2 - 0.033

Table 7.15 Score Values of Promoters for different values of weights of financial and technical

package and when value of managerial package EP1 = 0.067 and EP2 = 0.033

Figure 7.5 Variations of Aggregate Values when MP = 0.1

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weight for financial package 0.10 0.20 0.30 0.40 0.50 0.60 0.70weight for Technical package 0.70 0.60 0.50 0.40 0.30 0.20 0.10

Promoter 1 0.37 0.35 0.32 0.30 0.27 0.25 0.22Promoter 2 0.22 0.23 0.25 0.27 0.28 0.30 0.32Promoter 3 0.19 0.21 0.23 0.25 0.26 0.28 0.30Promoter 4 0.22 0.21 0.20 0.19 0.18 0.17 0.16

weight for managerial Package EP1 - 0.134 and EP2 - 0.066

Table 7.16 Score Values of Promoters for different values of weights of financial and technical

package and when value of managerial package EP1 = 0.134 and EP2 = 0.066

Figure 7.6 Variations of Aggregate Values when MP = 0.2

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weight for financial package 0.10 0.20 0.30 0.40 0.50 0.60weight for Technical package 0.60 0.50 0.40 0.30 0.20 0.10

Promoter 1 0.36 0.33 0.31 0.28 0.26 0.23Promoter 2 0.23 0.24 0.26 0.28 0.29 0.31Promoter 3 0.20 0.22 0.24 0.26 0.27 0.29Promoter 4 0.21 0.20 0.19 0.18 0.17 0.16

weight for managerial Package EP1 - 0.201 and EP2 - 0.099

Table 7.17 Score Values of Promoters for different values of weights of financial and technical

package and when value of managerial package EP1 = 0.201 and EP2 = 0.099

Figure 7.7 Variations of Aggregate Values when MP = 0.3

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weight for financial package 0.10 0.20 0.30 0.40 0.50

weight for Technical package 0.50 0.40 0.30 0.20 0.10

Promoter 1 0.34 0.32 0.29 0.27 0.24Promoter 2 0.24 0.25 0.27 0.29 0.30Promoter 3 0.21 0.23 0.25 0.27 0.29Promoter 4 0.21 0.20 0.19 0.18 0.17

weight for managerial Package EP1 - 0.268 and EP2 - 0.132

Table 7.18 Score Values of Promoters for different values of weights of financial and technical

package and when value of managerial package EP1 = 0.268 and EP2 = 0.132

Figure 7.8 Variations of Aggregate Values when MP = 0.4

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weight for financial package 0.10 0.20 0.30 0.40

weight for Technical package 0.40 0.30 0.20 0.10

Promoter 1 0.33 0.30 0.28 0.25Promoter 2 0.25 0.26 0.28 0.30Promoter 3 0.22 0.24 0.26 0.28Promoter 4 0.20 0.19 0.18 0.17

weight for managerial Package EP1 - 0.335 and EP2 - 0.165

Table 7.19 Score Values of Promoters for different values of weights of financial and technical

package and when value of managerial package EP1 = 0.335 and EP2 = 0.165

Figure 7.9 Variations of Aggregate Values when MP = 0.5

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weight for financial package 0.10 0.20 0.30

weight for Technical package 0.30 0.20 0.10

Promoter 1 0.32 0.29 0.27Promoter 2 0.25 0.27 0.29Promoter 3 0.23 0.25 0.27Promoter 4 0.20 0.19 0.18

1.00 1.00 1.00

weight for managerial Package EP1 - 0.402 and EP2 - 0.198

Table 7.20 Score Values of Promoters for different values of weights of financial and technical

package and when value of managerial package EP1 = 0.402 and EP2 = 0.198

Figure 7.10 Variations of Aggregate Values when MP = 0.6

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weight for financial package0.10 0.20

weight for Technical package0.20 0.10

Promoter 1 0.30 0.28Promoter 2 0.26 0.28Promoter 3 0.24 0.26Promoter 4 0.19 0.18

weight for managerial Package EP1 - 0.469 and EP2 - 0.231

Table 7.21 Score Values of Promoters for different values of weights of financial and technical

package and when value of managerial package EP1 = 0.469 and EP2 = 0.231

Figure 7.11 Variations of Aggregate Values when MP = 0.7

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weight for financial package0.10

weight for Technical package0.10

Promoter 1 0.29Promoter 2 0.27Promoter 3 0.25Promoter 4 0.19

weight for managerial Package EP1 - 0.536 and EP2 - 0.264

Table 7.22 Score Values of Promoters for different values of weights of financial and technical

package and when value of managerial package EP1 = 0.536 and EP2 = 0.264

Figure 7.12 Variations of Aggregate Values when MP = 0.8

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7.8 CLOSURE

Best Value procurement aims at using price and other technical factors in the evaluation and

selection process to enhance the long term performance of projects during and after construction.

This process ensures that the selected promoter will provide the best value to the public for the

money spent. In this chapter a multi criteria decision framework has been used to solve the BOT

promoter prequalification issues. The model developed is flexible enough to take full advantage

of the experts’ knowledge, experiences and makes the decision maker feel comfortable to give

judgment on prequalification issue. The framework includes decision criteria analysis, weights

assessment and ranking order determination of project promoters. The AHP model can consider

the relevant factors in making the decision. These factors can be chosen according to specific

project needs and the decision reflects the owners need and preferences.

Successful selection of the most suitable concessionaire depends on number of issues, which

includes the quality of (i) the general arrangement of selection process, (ii) definition of project

objectives and core requirements, (iii) identifying and defining project specific criteria, (iv) the

prequalification and tender evaluation methodology, (v) the understanding of what these tenders

can achieve, and (vi) the negotiation skills. Interested parties should be short listed before asking

them to submit tenders in order to minimize overall tendering costs in the industry. This chapter

provides a core concessionaire ranking protocol that incorporates public procurement principles,

best value selection approach and multi-criteria tender evaluation.


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