scholarly journals Proposal of a New Porous Concrete Dosage Methodology for Pavements

Materials ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3100 ◽  
Author(s):  
Eduardo Javier Elizondo-Martinez ◽  
Valerio Carlos Andres-Valeri ◽  
Jorge Rodriguez-Hernandez ◽  
Daniel Castro-Fresno

Although porous concrete pavement design methods are mainly focused on maintaining high permeability rates in order to improve their ability to manage stormwater runoff, the mixture strength is paramount for its durability and service life. This paper proposes a new mixture design method for porous concrete, named PCD (porous concrete design), derived from the ACI 522R-10 and ACI 211.3R-02 standards. The aim is to improve mechanical strength in porous concrete mixtures, while ensuring enough permeability for its use in urban roads. With PCD methodology it is possible to obtain mechanical strengths 30% higher than those produced with ACI methodologies, while maintaining permeability rates close to 2 cm/s, lower than those obtained with ACI methods but still enough to manage extreme storm events. Finally, with the analytical Hierarchy Process (AHP) multi-criteria decision-making methodology and also bearing in mind safety variables, the best porous concrete mixtures are the ones produced with PCD methodology.

Author(s):  
NORITA AHMAD ◽  
DANIEL BERG ◽  
GENE R. SIMONS

This research focuses on developing a model that can be used to assess the performance of Small to Medium-Sized Manufacturing Enterprises (SMEs). The model will result from the integration of a decision tool called the Analytical Hierarchy Process (AHP) and a data analysis model called Data Envelopment Analysis (DEA). This research demonstrates that by eliminating flaws and taking advantage of each methodology's specific characteristics in identifying and solving problems, the new integrated AHP/DEA model appears to be a logical and sensible solution in multi-criteria decision-making problem.


Symmetry ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 363
Author(s):  
Ran Li ◽  
Tao Sun

The recent hype in online purchasing has skyrocketed the importance of the electronic commerce (e-commerce) industry. One of the core segments of this industry is business-to-consumer (B2C) where businesses use their websites to sell products and services directly to consumers. Thus, it must be taken care of that B2C websites are designed in a way which can build a trustworthy and long-term relationship between businesses and consumers. Thus, this study assesses and prioritizes factors for designing a successful B2C e-commerce website. The study employs multi-criteria decision making (MCDM), and to minimize any ambiguity and greyness in the decision-making, it integrates fuzzy and grey respectively with the Analytical Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to form FAHP and TOPSIS-Grey. Initially, the study conducts a thorough literature survey to screen important factors reported in past studies. Five main factors and nineteen sub-factors were selected for further prioritization. Later, FAHP prioritized factors based on their importance. Finally, based on the FAHP results, TOPSIS-Grey ranked five alternatives (e-commerce websites). FAHP revealed “service quality” as the most successful website designing factor, while TOPSIS-Grey reported “Website-3” as the most successful website, having incorporated the factors required to design a successful website.


2022 ◽  
Vol 5 (1) ◽  
pp. 39-52
Author(s):  
Osman Arslan ◽  
Murat Selçuk Solmaz ◽  
Hasan Bora Usluer

In order to leave a livable world to future generations, the elimination of environmental pollution, which is one of the important dimensions of sustainability, increases its importance every day. Undoubtedly, among the factors that cause environmental pollution, the role of ships is quite high. The seas are also polluted by the routine operation of ships as well as marine accidents. Pollution arising from the routine operations of ships is caused by the discharge of pollutants such as ballast water, bilge water, sludge or garbage into the sea. In addition, emissions from ships and oil and fuel pollution caused by the routine operation of ships also play an important role in environmental pollution. In this study, the phenomena resulting from the routine operations of ships and causing environmental pollution were examined using the Analytical Hierarchy Process (AHP) method, which is one of the multi-criteria decision-making methods, and the perceptions of ship operators towards environmental pollution were tried to be determined.


2020 ◽  
Vol 8 (4) ◽  
pp. 1396-1417
Author(s):  
Resi Ariyasa Qadri ◽  
Amrie Firmansyah

Purpose of the study: This paper aims to elaborate on how the institutional logic of public housing provision transforms from the old logic into the new logic. By encapsulating tacit-knowledge from the shift, this study focuses on how to explicate a model of multi-criteria decision-making for executing official residence projects in Indonesia. This research also aims to recuperate the future of the public residency field. Methodology: The methodology employed was a mixed method. The qualitative method was firstly applied by utilizing semi-structured interviews to build a decision-making model. Later, a quantitative method was implemented to improve the consistency of the model by using the Analytical Hierarchy Process protocols. Thirteen project representatives and ten decision-makers were being involved as the main informants. Google Sheets web-based software was applied for analyzing survey results by making use of a mathematical model for the Analytical Hierarchy Process. Main Findings: The result indicates that land not used as paddy field, fair house price, safe from flood location, serene ambiance, and developer experience has played a significant part in affecting buying decisions for residency projects. To carry out the new method, the total scores of the AHP calculation should be above 50. Otherwise, the government shall opt for the old mechanism. Applications of this study: The paper contributes to the public sector accounting field in the area of asset management and public housing procurement. The paper also gives a strong basis for the field to make use of the model of Indonesia's public housing provision. The government can adopt the research framework for choosing the new model or the old one. Novelty/Originality of this study: This study might be the only one of its kind. The research was using a multi-method to achieve the objectives. To generate a multi-criteria decision-making model, grounded data of excessive interviews were abstracted. Then the abstracted tacit-knowledge was tested with AHP to provide a consistent model.


2018 ◽  
Vol 3 (1) ◽  
pp. 17-35
Author(s):  
Petrus Sokibi ◽  
Nurul Bahiyah

Talun sub-district is a government institution that provides public services to the public, which at this time there is no assessment of service satisfaction from the community so that the District Talun cannot know the assessment or complaints from the public to public services provided. The research aims to determine the level of public satisfaction of Public Service in Talun Sub-district. AHP is a complex multi-criteria decision-making method, in an unstructured situation into sections that are then shaped into functional hierarchies to present problems to be solved and then build a priority sequence for alternatives by pairwise alternative comparisons based on judgments of decision makers against a system. The appraisal application yields the value of the public satisfaction level and the eigenvector ranked according to the highest data as the final value of the AHP calculation so that the eigenvector value obtained can facilitate the Camat to see which elements of service are not good.


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