scholarly journals Fuzzy Optimization on the Synthesis of Chitosan-Graft-Polyacrylic Acid with Montmorillonite as Filler Material: A Case Study

Polymers ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 738 ◽  
Author(s):  
Angelo Earvin Sy Choi ◽  
Cybelle Morales Futalan ◽  
Jurng-Jae Yee
Keyword(s):  
Polyacrylic Acid ◽  
Fuzzy Optimization ◽  
Essential Element ◽  
Practical Method ◽  
Global Optimum ◽  
Variable Cost ◽  
Optimization Approach ◽  
Case Study Analysis ◽  
Boundary Limits

In this paper, the synthesis of a chitosan–montmorillonite nanocomposite material grafted with acrylic acid is presented based on its function in a case study analysis. Fuzzy optimization is used for a multi-criteria decision analysis to determine the best desirable swelling capacity (YQ) of the material synthesis at its lowest possible variable cost. For YQ, the integrating the result’s cumulative uncertainty is an essential element to investigate the feasibility of the developed model equation. The Pareto set analysis is able to set the appropriate boundary limits for YQ and the variable cost. Two case studies are presented in determining the lowest possible cost: Case 1 for maximum YQ, and Case 2 for minimum YQ. These boundary limits were used in the fuzzy optimization to determine its global optimum results that achieved the overall satisfaction ratings of 67.2% (Case 1) and 52.3% (Case 2). The synthesis of the polyacrylic acid/chitosan material for Case 1 resulted in 305 g/g YQ and 10.8 USD/kg, while Case 2 resulted in 97 g/g YQ and 12.3 USD/kg. Thus, the fuzzy optimization approach proves to be a practical method for examining the best possible compromise solution based on the desired function to adequately synthesize a material.

scholarly journals Fuzzy Optimization for the Remediation of Ammonia: A Case Study Based on Electrochemical Oxidation

2021 ◽  
Vol 18 (6) ◽  
pp. 2986
Author(s):  
Angelo Earvin Sy Choi ◽  
Benny Marie B. Ensano ◽  
Jurng-Jae Yee
Keyword(s):  
Energy Consumption ◽  
Electrochemical Oxidation ◽  
Operating Cost ◽  
Fuzzy Optimization ◽  
Global Optimum ◽  
Ammonia Removal ◽  
Essential Components ◽  
Cost Efficient ◽  
Boundary Limits

This case study covers the application of the fuzzy optimization in simultaneously satisfying various constraints that include the compliance of ammonia and nitrate concentrations with stringent environmental standards. Essential components in the multi-criteria decision-making analysis is in the utilization of the Box-Behnken design (BBD) response equations, cost equations and the cumulative uncertainty of response towards the sodium chloride dosage, current density and electrolysis time parameters. The energy consumption in the electrochemical oxidation of ammonia plays an essential role in influencing the total operating cost analysis. The determination of boundary limits based on the global optimum resulted in the complete ammonia removal and USD 64.0 operating cost as its maximum boundary limits and the 40.6% ammonia removal and USD 17.1 as its minimum boundary limits. Based on the fuzzy optimal results, the overall satisfaction level incurred a decrease in adhering with a lower ammonia standard concentration (10 mg/L at 80.3% vs. 1.9 mg/L at 76.1%) due to a higher energy consumption requirement. Global optimal fuzzy results showed to be highly cost efficient (232.5% lower) as compared to using BBD alone. This demonstrates the practicality of fuzzy optimization applications in the electrochemical reactions.

A fuzzy optimization approach to the capacitated node-routing problem for municipal solid waste collection with multiple tours: A case study

2019 ◽  
Vol 38 (3) ◽  
pp. 279-290 ◽  
Author(s):  
Seyed Zeinab Aliahmadi ◽  
Farnaz Barzinpour ◽  
Mir Saman Pishvaee
Keyword(s):  
Waste Management ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Fuzzy Optimization ◽  
Optimization Approach ◽  
Waste Collection ◽  
Collection Process ◽  
Proposed Model ◽  
Intermediate Facilities

In many countries, municipal solid waste management is considered a very important challenge, and the most relevant costs in this field are dedicated to the collection process. Therefore, this study aimed to propose a mathematical model with multiple depots and multiple intermediate facilities to minimize fixed and variable costs of waste collection. Intermediate facilities are used in the developed countries in their waste collection network, because these facilities reduce the long-term costs of waste management and increase the quality of the waste collection process. Also, in reality, the amount of waste generated per day is not deterministic, so, to cope with the issue of uncertainty in the amount of waste, a fuzzy optimization approach was considered. Furthermore, a system where vehicles that could collect the wastes in multiple tours, with a maximum number of tours for each vehicle, was also considered. Due to the high complexity of this model, a genetic algorithm was elaborated. Further, the efficiency of the proposed algorithm was confirmed by comparison with the exact solution in small dimensions. It should be noted that the initial solution of this algorithm was obtained by a proposed heuristic algorithm. Finally, a case study on the vehicle routing of municipal solid waste was conducted in a district of Tehran, Iran. Moreover, the solutions of the model were validated by comparing the results of the proposed model and the current real-life situation. The contractors could improve vehicle routes and reduce costs by implementing the results of the proposed model, without any additional cost.

The process of change in accelerated experiential dynamic psychotherapy (AEDP): A case study analysis.

2018 ◽  
Vol 28 (2) ◽  
pp. 213-232
Author(s):  
Rayna D. Markin ◽  
Kevin S. McCarthy ◽  
Amy Fuhrmann ◽  
Danny Yeung ◽  
Kari A. Gleiser
Keyword(s):  
Study Analysis ◽  
Dynamic Psychotherapy ◽  
Process Of Change ◽  
Case Study Analysis

The process and outcome of psychodynamic psychotherapy for pregnancy after loss: A case study analysis.

Psychotherapy ◽  
2020 ◽  
Vol 57 (2) ◽  
pp. 273-288
Author(s):  
Rayna D. Markin ◽  
Kevin S. McCarthy
Keyword(s):  
Psychodynamic Psychotherapy ◽  
Study Analysis ◽  
Case Study Analysis ◽  
Process And Outcome

Count Me In!: Ethnic Data Disaggregation Advocacy, Racial Mattering, and Lessons for Racial Justice Coalitions

JCSCORE ◽  
2018 ◽  
Vol 3 (1) ◽  
pp. 91-124
Author(s):  
OiYan A. Poon ◽  
Jude Paul Matias Dizon ◽  
Dian Squire
Keyword(s):  
Asian American ◽  
People Of Color ◽  
Racial Justice ◽  
Racial Equity ◽  
Equity In Education ◽  
Case Study Analysis ◽  
Data Disaggregation ◽  
Racial Solidarity ◽  
The University

This article presents a case study of the 2006-2007 Asian American and Pacific Islander (AAPI) student-led Count Me In! (CMI) campaign. This successful campaign convinced the University of California (UC) to account for 23 AAPI ethnic identities in its data system. Celebrated as a victory for AAPI interests in discourses over racial equity in education, which are often defined by a Black- white racial paradigm, CMI should also be remembered as originating out of efforts to demonstrate AAPI solidarity with Black students and to counter racial wedge politics. In the evolution of the CMI campaign, efforts for cross-racial solidarity soon faded as the desire for institutional validation of AAPI educational struggles was centered. Our case study analysis, guided by sociological frameworks of racism, revealed key limitations in the CMI campaign related to the intricate relations between people of color advocating for racial justice. We conclude with cautions for research and campaigns for ethnically disaggregated AAPI data, and encourage advocates and scholars to address AAPI concerns over educational disparities while simultaneously and intentionally building coalitions for racial equity in higher education.

The Polish-Slovak cross-border cooperation in the sphere of culture: the case study analysis

2017 ◽  
Vol 1 (1) ◽  
pp. 57-68 ◽  
Author(s):  
Joanna Kurowska-Pysz ◽  
Jolita Greblikaitė
Keyword(s):  
Study Analysis ◽  
Case Study Analysis ◽  
Cross Border ◽  
Cross Border Cooperation

Did Groupthink or Polythink Derail the 2016 Raqqa Offensive?

2019 ◽  
Author(s):  
Kasey Barr ◽  
Alex Mintz
Keyword(s):  
Decision Making ◽  
Group Dynamics ◽  
Decision Making Process ◽  
Islamic State ◽  
Study Analysis ◽  
Strategic Decisions ◽  
Case Study Analysis ◽  
The Us ◽  
Tactical Decisions

This chapter examines the effect of group dynamics on the 2016 decision within the administration of President Barack Obama to lead the international coalition in a mission to liberate Raqqa, Syria, from the Islamic State. The authors show that whereas the groupthink syndrome characterized the decision-making process of the US-led coalition’s decision to attack Raqqa, it was polythink that characterized the decision-making dynamics both in the US-led coalition and within the inner circle of Obama’s own foreign policy advisors. Through case-study analysis, the authors illustrate that groupthink is more likely in strategic decisions, whereas polythink is more likely in tactical decisions.

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