A General Morphological Analysis to Support Strategic Management Decisions in Public Transport Companies

Teles, Maria de Fátima; Sousa, Jorge Freire de

doi:10.1016/j.trpro.2017.03.069

Cited by 6 publications

(1 citation statement)

References 8 publications

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“…In addition, some authors propose different creative methods to be used in early conceptual design to support new concept of business model creation [22] and new concept of selection [23,24]. GMA, as a creative method, has been used widely and tested in various domains such as policy planning and scenario development [25], strategic foresight [26], technology forecasting [27][28][29], and idea creation [30][31][32]. The core objective of GMA is to structure and investigate the behaviour and solutions among stakeholders.…”

Section: Introductionmentioning

confidence: 99%

A Case Study of Complex Policy Design: The Systems Engineering Approach

et al. 2019

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Design, structure, modelling, and analysis of complex systems can significantly benefit from a systematic approach. One way to address a complex system using a systematic approach is to combine creative and analytical methods, such as general morphological analysis and design structure matrix. The aim is to propose a framework to address complex systems in two stages: first, formulation and generation of alternatives through general morphological analysis, and second, improvement and integration with design structure matrix for sequence optimization and cluster analysis. Moreover, general morphological analysis is further optimized through a novel sensitivity analysis approach reducing up to 80% the iteration time. The proposed approach is showcased in a case study of sustainable policy formulation for a wastewater treatment plant at a pulp and paper industry in Brazil. The results show that it is possible to generate a solution space that highlights the best possible combinations of the given alternatives while also providing an optimal sequence and grouping for an optimized implementation. The paper contributes to the field of conceptual modelling by offering a systematic approach to integrate sustainability.

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Section: Introductionmentioning

confidence: 99%

A Case Study of Complex Policy Design: The Systems Engineering Approach

et al. 2019

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Optimized Morphological Analysis in Decision-Making

Buzuku

Krasławski

2018

Advances in Systematic Creativity

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Morphological analysis is one of the methods most widely used in identification, formulation, and structuring complex problems with the aim of seeking optimal solutions. When extended with cross consistency assessment, morphological analysis becomes an iterative method. The aim of this chapter is to propose a modeling approach for using extended morphological analysis and to complement it with sensitivity analysis for optimization and time reduction over the iteration process. First, the aim is to recognize the connection between systems engineering requirements and project management activities, while incorporating multiple design dimensions and categories. Second, the chapter extends the application of the creative design approach. The target is to recognize and analyze the conflicts between the design activities, and aims at creating alternative options and solutions to resolve conflicts.

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Disaster risk reduction: A decision-making support tool based on the morphological analysis

Lantada

Tibaduiza

Jaramillo

2020

International Journal of Disaster Risk Reduction

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Risk management due to natural hazards is a multidimensional and complex problem since it requires the knowledge and experience of several disciplines. The effectiveness of risk management can be analyzed, inviting to the action through weakness identification of the urban area. This article proposes a methodology based on the morphological analysis to support the decision-making on disaster risk management, taking as a starting point the results of a holistic evaluation of the seismic risk. The results of the holistic evaluation of risk are achieved aggravating the physical risk using the contextual conditions, such as the socioeconomic fragility and the lack of resilience. In consequence, the risk mitigation can be performed through the reduction of the potential damage and consequences involved; and the improvement of social conditions.The proposed methodology allows prioritizing the risk reduction strategies according to i) performance level of component indicators involved into the Disaster Risk Management index, 𝐷𝑅𝑀𝑖; ii) physical risk factors dependent from the potential damages, and iii) aggravating factors involved in the aggravating coefficient. Moreover, it involves 35 strategies to reduce the physical risk and the aggravating social conditions of the urban area.The proposed methodology has been applied to the city of Mérida (Venezuela), located within an area of high seismic activity. The performance level of the indicators involved in the 𝐷𝑅𝑀𝑖 was evaluated by a survey to local experts. As a result, eleven strategies have been identified to reduce the potential damage and to improve the social conditions of this city.

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A General Morphological Analysis to Support Strategic Management Decisions in Public Transport Companies

Cited by 6 publications

References 8 publications

A Case Study of Complex Policy Design: The Systems Engineering Approach

A Case Study of Complex Policy Design: The Systems Engineering Approach

Optimized Morphological Analysis in Decision-Making

Disaster risk reduction: A decision-making support tool based on the morphological analysis

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