Multicriteria Analysis Model for the Evaluation of the Competitiveness of the States in Mexico

Šio straipsnio tyrimų objektą sudaro lyderio gyvavimo organizacijoje procesas, jame dalyvaujančios ir savo tikslus norinčios įgyvendinti suinteresuotos grupės bei išorinė mikro-, mezo- ir makrolygmens aplinka kaip visuma. Siekiant atlikti šio tyrimų objekto išsamią analizę buvo adaptuoti projektų daugiakriterinės analizės metodai. Juos taikant buvo kompleksiškai įvertinti jo vadybiniai, organizaciniai, ekonominiai, socialiniai, teisiniai, emociniai, psichologiniai ir kiti aspektai. Straipsnyje pateiktas Lyderio gyvavimo organizacijoje proceso kompleksinės analizės modelis ir sistema bei šios sistemos taikymo praktinis pavyzdys.The complex analysis model and the system of a leader’s life cycle process in an organization Saulė Jokūbauskienė SummaryThe objective of the article is a Leader‘s life cycle process in an organization and the parties involved and concerned to realize their aims, as well as outside micro-, mezzo- and macro- level environment as a whole. According to the objective of the research a proper and complex analysis has been made with a view to adapt the methods of multicriteria analysis. As a result of the above mentioned methods used the objective was evaluated according to the leader‘s abilities in managerial, organizational, economic, social, legal, emotional, psychological and other aspects. The article presents the model of the complex analysis, the system and its application in practice for the Leader‘s life cycle in an organization.

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Fuzzy Multicriteria Analysis for Performance Evaluation of Internet-of-Things-Based Supply Chains

Symmetry ◽

10.3390/sym10110603 ◽

2018 ◽

Vol 10 (11) ◽

pp. 603 ◽

Cited By ~ 6

Author(s):

Santoso Wibowo ◽

Srimannarayana Grandhi

Keyword(s):

Decision Making ◽

Performance Evaluation ◽

Internet Of Things ◽

Supply Chains ◽

Group Decision Making ◽

Group Decision ◽

Multicriteria Analysis ◽

Analysis Model ◽

Intuitionistic Fuzzy ◽

Multicriteria Group Decision Making

This paper presents a fuzzy multicriteria analysis model for evaluating the performance of Internet of Things (IoT)-based supply chains. The inherent uncertainty and imprecision of the performance evaluation process was handled by using intuitionistic fuzzy numbers. A new fuzzy multicriteria group decision making algorithm based on the technique ordered preference by similarity to the ideal solution (TOPSIS) approach, and the concept of similarity measures was developed for determining the overall performance of each alternative. The advantage of the proposed fuzzy multicriteria analysis model is that it can overcome the limitations of the existing approaches in an intuitionistic fuzzy environment. The fuzzy multicriteria group decision-making model provides organizations with the ability to evaluate the performance of their IoT-based supply chains for improving their competitiveness. An example is presented to highlight the usefulness of the proposed model for tackling a real world IoT performance evaluation problem.

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Valuation of the Vocationality of Cultural Heritage: The Vesuvian Villas

Sustainability ◽

10.3390/su12030943 ◽

2020 ◽

Vol 12 (3) ◽

pp. 943 ◽

Cited By ~ 4

Author(s):

Fabiana Forte ◽

Vincenzo Del Giudice ◽

Pierfrancesco De Paola ◽

Federica Troisi

Keyword(s):

Real Estate ◽

Cultural Heritage ◽

Multicriteria Analysis ◽

Financial Resources ◽

Actual State ◽

Hierarchical Analysis ◽

Analysis Model ◽

Analysis Technique ◽

Management Policies ◽

Architectural Structures

The Vesuvian Villas are a system of architectural assets that, due to important artistic, historical and typological characteristics, have relevance that is not only local. However, due to ineffective management policies and insufficient financial resources, the system of the Vesuvian Villas is subject to abandonment or to invasive transformations for speculative purposes. The management policies for these real estate goods would require a profound theoretical and operational review that, together with the overcoming of the binding instrument as the only guarantee of protection, pursues conservation through synergies founded on appropriate uses of the Vesuvian Villas. This innovative path is difficult to implement due to the substantial rigidity of the architectural structures and the transformations aimed at renewing the forms of use, but mostly for the lack of available financial resources. Starting from the analysis of the relationships between conservation and transformation of the historical architectural asset, the paper proposes a multicriteria analysis model for the evaluation of the "vocational" nature of the "Villa Vesuviana" property, aimed to its conservative reuse. This suitability was assessed starting from a set of indicators explaining the actual state of the building (typological, morphological, structural and artistic characteristics) and its location. The indicators have been evaluated through qualitative judgments made using the hierarchical analysis technique. Particular attention was paid to the evaluation of synergies deriving from complementary uses.

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Design of a Novel Weighted-Multicriteria Analysis Model for Effective Test Case Prioritization for Network and Robotic Projects

Wireless Personal Communications ◽

10.1007/s11277-021-09251-z ◽

2021 ◽

Author(s):

Kapil Juneja

Keyword(s):

Multicriteria Analysis ◽

Test Case ◽

Test Case Prioritization ◽

Analysis Model

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Mitigation of CO2e Emissions from the Municipal Solid Waste Sector in the Kingdom of Bahrain

Climate ◽

10.3390/cli7080100 ◽

2019 ◽

Vol 7 (8) ◽

pp. 100 ◽

Cited By ~ 7

Author(s):

Maha Alsabbagh

Keyword(s):

Climate Change ◽

Municipal Solid Waste ◽

Solid Waste ◽

Landfill Gas ◽

Multicriteria Analysis ◽

Waste To Energy ◽

Analysis Model ◽

Intergovernmental Panel ◽

Gas Recovery ◽

The World

Mitigating climate change to limit the global temperature increase (relative to pre-industrial temperatures) to 2 °C is receiving considerable attention around the world. Here, historical and future carbon dioxide equivalent (CO2e) emissions from municipal solid waste (MSW) in Bahrain were calculated using the revised Intergovernmental Panel on Climate Change (IPCC) 1996 and IPCC 2006 methods. The extent to which waste-to-energy (WtE) technologies can contribute to climate change mitigation was assessed by performing a multicriteria analysis. The results indicated that CO2e emissions from MSW in Bahrain have been increasing since the Askar landfill was constructed in 1986. Emission recalculations indicated that CO2e emissions from MSW contribute 6.2% of total emissions in Bahrain rather than the 11.6% reported in the second national communication. Methane emissions from MSW in 2030 are predicted to be 22–63 Gg. The WtE technologies anaerobic digestion and landfill gas recovery gave the best and gasification the worst multicriteria analysis model results. A database of WtE plants around the world should be compiled to allow decisions around the world to be based on best practices. The potential for maximizing energy recovery and decreasing costs needs to be investigated to allow WtE plants to compete better with renewable and nonrenewable energy sources.

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Fuzzy Multicriteria Analysis for Performance Evaluation of Internet of Things Based Supply Chains

10.20944/preprints201810.0443.v1 ◽

2018 ◽

Author(s):

Santoso Wibowo ◽

Srimannarayana Grandhi

Keyword(s):

Decision Making ◽

Supply Chain ◽

Performance Evaluation ◽

Internet Of Things ◽

Supply Chains ◽

Multicriteria Analysis ◽

Evaluation Process ◽

Analysis Model ◽

Intuitionistic Fuzzy Numbers ◽

Decision Making Model

The performance evaluation of the Internet of Things (IoT) based supply chain is challenging due to the involvement of multiple decision makers, the multi-dimensional nature of the evaluation process, and the existence of uncertainty and imprecision in the decision making process. To ensure effective decisions are made, this paper presents a fuzzy multicriteria analysis model for evaluating the performance of IoT based supply chain. The inherent uncertainty and imprecision of the performance evaluation process is adequately handled by using intuitionistic fuzzy numbers. A new algorithm is developed for determining the overall performance index for each alternative across all criteria. The development of the fuzzy multicriteria group decision making model provides organizations with the ability to effectively evaluate the performance of their IoT based supply chains for improving their competitiveness. An example is presented for demonstrating the applicability of the model for dealing with real world IoT-based performance evaluation problems.

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