A novel project portfolio selection framework: An application of fuzzy DEMATEL and multi-choice goal programming

Tabrizi, Babak H.; Torabi, S. Ali; Ghaderi, S.F.

doi:10.24200/sci.2016.4004

Cited by 13 publications

(9 citation statements)

References 34 publications

(44 reference statements)

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“…Liang (2015) proposes a BSC-FAHP model for information systems performance assessment. Tabrizi et al (2016) develop a BSC project portfolio selection model using fuzzy DEMATEL and multi-choice goal programming (MCGP). Wudhikarn (2016) applies BSC-ANP-ZOGP for strategic project selection.…”

Section: Bsc and Multi-criteria Decision Analysis For Project Selectionmentioning

confidence: 99%

Project portfolio selection for increasing sustainability in supply chains

Verdecho

Perales²,

Valero³

2020

Econ Bus Lett

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Sustainability practices impact on the competitiveness of organizations. Enterprises need approaches that both support the implementation of these practices by helping to define the strategic elements of sustainable supply chains and prioritize projects to increase profitability. The purpose of this paper is to propose an approach using the Analytic Hierarchy Process that supports the portfolio project decision by aligning the project selection process to the strategic objectives of a supply chain that pursue sustainability. This approach will benefit enterprises to prioritize projects that have the highest impact on the sustainability strategy of the supply chain over time. The approach has been applied to an Agri-food supply chain.

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Section: Bsc and Multi-criteria Decision Analysis For Project Selectionmentioning

confidence: 99%

Project portfolio selection for increasing sustainability in supply chains

Verdecho

Perales²,

Valero³

2020

Econ Bus Lett

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“…In order to cope with the uncertainities, fuzzy DEMATEL has been widely preferred recently. There are a lot of applications of the fuzzy DEMATEL approach in various MCDM problems such as supplier selection [49], bidder evaluation [50], comparison of service quality improvement strategies [51], evaluation of critical operational hazards [48], project portfolio selection [52], resilience supplier selection [53]. In order to deal with the uncertainties, we also have utilized fuzzy DEMATEL.…”

Section: Insert Figure 1 About Herementioning

confidence: 99%

An integrated fuzzy QFD-MCDM framework for personnel selection problem

Özgörmüş

Gören²,

Şenocak

2019

Scientia Iranica

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In today's competitive and high technology world, companies are forced to differentiate themselves with continuous improvement. They need creative, well-educated and self-confident human resource more than ever. Hiring the right person to the right job plays a significant role on firm's growth. The goal of this paper is to propose a systematic approach for personnel selection problem (PSP) of a textile company in Turkey by considering various performance requirements and criteria. The proposed framework consists of three phases. Initially, Fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) method is used for weighting social criteria. Then, weights of technical requirements are calculated by applying Fuzzy Quality Function Deployment (QFD) method allowing to evaluate the interrelationships and correlation of social and technical criteria. Finally, Fuzzy Grey Relational Analysis (GRA) method has been applied to rank the alternatives by considering criteria scores acquired in the previous phase. The method has been illustrated by a case study and compared to the current approach used in the company. The results indicate that this proposed approach can deal with the PSP effectively and help companies to establish a systematic and unbiased way for the problem.

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“…This constraint is shown in constraint (13), which is related to the budget of all projects in each period. In the constraints (14), the dependencies between the projects are shown. These constraints guarantee that prerequisite project i is implemented prior or concurrent with the dependent project i .…”

Section: Final Modelmentioning

confidence: 99%

“…Kocadağlı and Keskin [13] presented a fuzzy goal programming method to model the project selection problem. Tabrizi et al [14] proposed a utility-based multi-choice goal programming technique which is applied to determine the project portfolio in regard to the chosen criteria and some other operational limitations.…”

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confidence: 99%

Balancing the Portfolio of Urban and Public Projects with Distance-Dependent Coverage Facilities

Mokhtari

Imamzadeh

2019

Scientia Iranica

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The portfolio of urban and public projects should be balanced in terms of completion time, districts and strategic objectives. For this purpose, we suggest a mixed integer nonlinear programming model based on the goal programming approach. Projects are selected so as to minimize the squared deviation of urban and regional development indicators from their respective targets. In the proposed model there are two category of indicators: coverage indicators that are measured based on the distance of each neighborhood from the nearest covering facility, and general indicators that are usually measured based on the capacities and capabilities of each district. It is assumed that the location of covering facilities have already been selected, but the construction of these facilities will be prioritized and planned according to budget constraints and in competition with other regional development projects. Numerical results indicate superior performance of proposed genetic algorithm in comparison to GAMS solvers. Finally, the application of the model is illustrated by an example.

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A novel project portfolio selection framework: An application of fuzzy DEMATEL and multi-choice goal programming

Cited by 13 publications

References 34 publications

Project portfolio selection for increasing sustainability in supply chains

Project portfolio selection for increasing sustainability in supply chains

An integrated fuzzy QFD-MCDM framework for personnel selection problem

Balancing the Portfolio of Urban and Public Projects with Distance-Dependent Coverage Facilities

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