A case study for project and portfolio management information system selection: a group AHP-scoring model approach

Gerogiannis, Vassilis C.; Fitsilis, Panos; Voulgaridou, Dimitra; Kirytopoulos, Konstantinos; Sachini, Evi

doi:10.1504/ijpom.2010.035873

Cited by 17 publications

(17 citation statements)

References 35 publications

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“…On one side, this facilitates data collection. On the other, the complexity of fuzzy logic approaches often raises difficulties for their practical application (Gerogiannis et al 2010;Sureeyatanapas et al 2018). Therefore, for fuzzy-based methods the support provided by a computer tool could be beneficial.…”

Section: Discussionmentioning

confidence: 99%

Leanness measurement methods in manufacturing organisations: a systematic review

Cocca

Marciano

Alberti

et al. 2018

International Journal of Production Research

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The interest of lean companies in tools to monitor and control their lean implementation process, i.e. their leanness level, is continuously increasing. A multitude of diverse approaches have been proposed in the literature for that purpose. In order to provide some guidance both to practitioners interested in selecting a tool and academics aiming at developing a new approach, a systematic review of the methods to measure leanness in manufacturing organisations is carried out. Thirty-one methods are identified and critically analysed based on a set of comparative dimensions. The main strengths and weaknesses of each approach are highlighted. In particular, this paper's results show that only less than a third of the methods are able to assess leanness in a complete way, taking into consideration both the degree of lean practices adoption and the performance outcomes resulting from implementation. In order to contribute to the reinforcement of a unifying view of the leanness concept, a new leanness definition is developed. Some further gaps in the literature are pointed out, providing directions for future research.

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Section: Discussionmentioning

confidence: 99%

Leanness measurement methods in manufacturing organisations: a systematic review

Cocca

Marciano

Alberti

et al. 2018

International Journal of Production Research

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“…As a response to this problem, in the recent past, we presented an approach for evaluating alternative PP-MIS that combines group-based AHP with a simple scoring model [15]. According to this approach, PP-MIS evaluators (decision makers) use a scoring model to evaluate the performances of candidate systems with respect to an extensive list of functional-oriented criteria (organized into criteria clusters), while PPMIS users follow the AHP method to determine the overall weights of the criteria clusters based on the needs of their organization.…”

Section: Mcdm Methods For Evaluating Software Packagesmentioning

confidence: 99%

Evaluation of project and portfolio Management Information Systems with the use of a hybrid IFS-TOPSIS method

Gerogiannis

Fitsilis

Kameas

2013

IDT

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Contemporary Project and Portfolio Management Information Systems (PPMIS) have embarked from single-user, single-project management systems to web-based, collaborative, multi-project, multi-operational information systems which offer organization-wide management support. The variety of offered functionalities, along with the variation among each organization needs and the plethora of PPMIS available in the market, make the selection of an appropriate PPMIS a complicate, multi-criteria decision problem. The problem complexity is further augmented since the multi stakeholders involved in the evaluation/selection process cannot often rate precisely their preferences and the performances of candidate PPMIS on them. To meet these challenges, this paper presents a PPMIS selection/evaluation approach that applies a hybrid group decision making method based on TOPSIS and Intuitionistic Fuzzy Sets (IFS). The approach considers the vagueness of assessors' judgments when evaluating PPMIS and the uncertainty of users when they judge their needs. The approach is demonstrated through a case study aiming to support the Hellenic Open University to select a suitable PPMIS.

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“…From the methodological perspective, there exist some similar contributions in the literature [73][74][75][76]. Gerogiannis et al [73] studied a group-AHP scoring model.…”

Section: Comparative Studymentioning

confidence: 97%

“…From the methodological perspective, there exist some similar contributions in the literature [73][74][75][76]. Gerogiannis et al [73] studied a group-AHP scoring model. The method used in [73] is differentiated from our current approach considering that the decision is based on the aggregation of both experts' and users' judgements.…”

Section: Comparative Studymentioning

confidence: 97%

An Integrated Approach of Best-Worst Method (BWM) and Triangular Fuzzy Sets for Evaluating Driver Behavior Factors Related to Road Safety

et al. 2020

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Driver behavior plays a major role in road safety because it is considered as a significant argument in traffic accident avoidance. Drivers mostly face various risky driving factors which lead to fatal accidents or serious injury. This study aims to evaluate and prioritize the significant driver behavior factors related to road safety. In this regard, we integrated a decision-making model of the Best-Worst Method (BWM) with the triangular fuzzy sets as a solution for optimizing our complex decision-making problem, which is associated with uncertainty and ambiguity. Driving characteristics are different in different driving situations which indicate the ambiguous and complex attitude of individuals, and decision-makers (DMs) need to improve the reliability of the decision. Since the crisp values of factors may be inadequate to model the real-world problem considering the vagueness and the ambiguity, and providing the pairwise comparisons with the requirement of less compared data, the BWM integrated with triangular fuzzy sets is used in the study to evaluate risky driver behavior factors for a designed three-level hierarchical structure. The model results provide the most significant driver behavior factors that influence road safety for each level based on evaluator responses on the Driver Behavior Questionnaire (DBQ). Moreover, the model generates a more consistent decision process by the new consistency ratio of F-BWM. An adaptable application process from the model is also generated for future attempts.

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A case study for project and portfolio management information system selection: a group AHP-scoring model approach

Cited by 17 publications

References 35 publications

Leanness measurement methods in manufacturing organisations: a systematic review

Leanness measurement methods in manufacturing organisations: a systematic review

Evaluation of project and portfolio Management Information Systems with the use of a hybrid IFS-TOPSIS method

An Integrated Approach of Best-Worst Method (BWM) and Triangular Fuzzy Sets for Evaluating Driver Behavior Factors Related to Road Safety

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