This paper aims to examine and analyze the merits and demerits of the existing evaluation models and to contribute to the practical applications of the evaluation models appropriate to both business and public organization.
This study classifies the...
This paper aims to examine and analyze the merits and demerits of the existing evaluation models and to contribute to the practical applications of the evaluation models appropriate to both business and public organization.
This study classifies the existing models into four categories based on the criteria as follows ; 1) the characteristics of the model ; 2) the stepwise decision making ; 3) the ovjective ; 4) the development process.
Furthermore, these models are divided into the following groups on the basis of the evaluation purpose ; 1) the screening model ; 2) the prioritizing model ; 3) the resource allocation model ; 4) the compound application model.
This study is to study and aggregation model which enables the project manager to make a rational decision in project selection. The aggregation model is divided into sub-models according to the evaluation objects ; DAHS, DAHP, and DAHR model.
DAHS model is for the screening of the proposed projects by using scoring methods based on Delphi and AHP methods. This sub-model is appropriate for eliminating the most undesirable from further consideration.
DAHP model is for prioritizing the screened candidates. For the measure of goodness, the priority vectors are calculated (or generated) using AHP and Delphi method.
DAHR model is studied by this paper for the R/D resource allocation using LP and 0-1 programming. This sub-model uses a utility value calculated by the priority vectors.
The aggregation model is applied to the evaluation of a public research institute projects with a series of real data.
Several conclusions are drawn from the analysis and evaluation of the projects. The DAHS model solves the problems posed by the subjectivity in determination of evaluating factors and their weights, which prevails in existing evaluation models. The priority of R & D project is decided by the of DAHP model, which makes mutual comparisions of the concerned elements. Therefore DAHP model is considered to be more rational than the existing ones. DAHR model helps to distribute the R & D resources effectively by means of LP and 0-1 programings using priority vector.
The application of the priority vector for LP and 0-1 programmings according to partial or total implementation eases much of difficulties in computing the extent of contribution.
Especially proposed model is known the be appropriate to eliminate the factors of subjective evaluation.
In conclusion, proposed model is considered to be useful in practically serving the purpose of evaluation R & D projects for both business and public organizations.