scholarly journals A Fuzzy Multi-Criteria Model for Municipal Waste Treatment Systems Evaluation including Energy Recovery

Energies ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 31
Author(s):  
Robert Giel ◽  
Artur Kierzkowski
Keyword(s):  
Waste Treatment ◽  
Fuzzy Theory ◽  
Assessment Method ◽  
Data Uncertainty ◽  
System Availability ◽  
Qualitative And Quantitative ◽  
Coefficient Estimation ◽  
Sorting Efficiency ◽  
Sorting System ◽  
Theory Use

One of the recent problems on waste sorting systems is their performance evaluation for proper decision making and management. For this purpose, multi-criteria methods can be used to evaluate the sorting system from both operational and financial perspectives. According to a recent literature review, there are no solutions for evaluating waste sorting systems that take into account: sorting point utilisation, sorting efficiency, waste stream irregularity, and technical system availability. In addition, the problem of data uncertainty and the need to use expert judgements indicate the need for the implementation of methods adjusted to the qualitative and quantitative assessment, such as the fuzzy approach. Following this, in order to overcome the presented limitations, the authors introduced the new assessment method for waste sorting systems based on multi-criteria model implementation and fuzzy theory use. Therefore, the developed model was based on a hierarchical fuzzy logic model for which appropriate membership function parameters and inference rules were defined. The specificity of the chosen assessment criteria and their justification was provided. The model has been implemented to evaluate one of the waste sorting plants in Wroclaw, Poland. Tests have been conducted for seven different configurations of waste sorting lines (with variable input parameters). The study focuses on analysing the amount of selected waste at each station in relation to the total stream size of each fraction. Efficiency was measured by the mass of the collected waste and the number of pieces of waste in each fraction. Based on the obtained results, estimations of particular parameters of the model were made, and the results were presented and commented on. It was shown that there is a significant relationship between the level of system evaluation and sorting efficiency and an inverse relationship with the level of RDF obtained. The analysis was based on Pearson’s linear correlation coefficient estimation and linear regression implementation.

scholarly journals Trajectory planning method of robot sorting system based on S-shaped acceleration/deceleration algorithm

2018 ◽  
Vol 15 (6) ◽  
pp. 172988141881380 ◽  
Author(s):  
Qizhi Chen ◽  
Chengrui Zhang ◽  
Hepeng Ni ◽  
Xue Liang ◽  
Haitao Wang ◽  
...  
Keyword(s):  
Trajectory Planning ◽  
Prediction Method ◽  
Maximum Velocity ◽  
Previous Method ◽  
Planning Method ◽  
Robot Arm ◽  
Dynamic Prediction ◽  
Efficiency And Effectiveness ◽  
Sorting Efficiency ◽  
Sorting System

To improve the sorting accuracy and efficiency of sorting system with large inertia robot, this article proposes a novel trajectory planning method based on S-shaped acceleration/deceleration algorithm. Firstly, a novel displacement segmentation method based on assumed maximum velocity is proposed to reduce the computational load of velocity planning. The sorting area can be divided into four parts by no more than three steps. Secondly, since the positions of workpieces are dynamically changing, a dynamic prediction method of workpiece picking position has been presented to consider all the possible positions of the robot and the workpiece, so as to realize the picking position prediction of the workpiece at any positions. Each situation in this method can constitute an equation with only one solution, and the existence of the solution can be verified by the proposed graphical method. The simulations of the motion time of the sorting process show that the proposed method can significantly shorten the sorting time and improve the sorting efficiency compared with the previous method. Finally, this method was applied to the Selective Compliance Assembly Robot Arm (SCARA) robot for experiments. In the physical picking experiment, the missing-pick rate was less than 1%, which demonstrates the efficiency and effectiveness of this method.

Use of Influence Diagrams and Fuzzy Theory to Develop Assessment Method of Organizational Influences on Component Maintenance

2002 ◽  
Author(s):  
Yoonik Kim ◽  
Kwang-Won Ahn ◽  
Chang-Hyun Chung ◽  
Kil Yoo Kim ◽  
Joon-Eon Yang
Keyword(s):  
Nuclear Power ◽  
Power Plants ◽  
Human Error ◽  
Nuclear Power Plants ◽  
Fuzzy Theory ◽  
Organizational Factors ◽  
Assessment Method ◽  
Influence Diagrams ◽  
Safety Attitudes ◽  
Organizational Influences

Organization can make influences on all the systems. Especially in case of nuclear power plants in which safety is established to be one of the most important operating goals, there have been a lot of research efforts for the hardware advancement. However in recent years, it has been widely recognized that organizational factors in nuclear power plants have an important influence on the safety attitudes and the safe behavior of individuals. Until now, any means to include assessments of organizational structure in probabilistic risk assessments have not been universally accepted. The objective of this work is to develop a method to assess organizational influences on component maintenance. Influence diagrams are introduced in this method as a decision making tool and fuzzy theory is used to reflect the vagueness in considering relevance of human activities in maintenance tasks. Introducing fuzzy theory to assess the organizational factors is deemed to a somewhat new trial, which makes it possible to convert linguistic vague descriptions into mathematical ones. Fuzzy linguistic descriptions offer an alternative and often complementary language to conventional, i.e., analytic approaches to modeling systems. Among the existing methodologies to assess organizational factors, the concept of the ω-factor model is utilized and the mechanism that organizational factors have influences on component maintenance is evaluated through composing influence diagrams. These influences go to failure rates and eventually affect component unavailability. Further study will make it possible that the influences of organizational factors on human error probabilities are incorporated into human reliability analysis and furthermore probabilistic safety assessment.

scholarly journals Comparative Analysis and Development Exploration of Threat Assessment Methods for Warship Air Defense

2019 ◽  
Vol 291 ◽  
pp. 01006
Author(s):  
Pingbo Yu ◽  
Gaofeng Liu ◽  
Li Gong
Keyword(s):  
Comparative Research ◽  
Research Method ◽  
Fuzzy Theory ◽  
Reference Value ◽  
Threat Assessment ◽  
Uncertainty Assessment ◽  
Assessment Method ◽  
Assessment Methods ◽  
Paper Briefly ◽  
Air Defense

Warship’s air defense target threat assessment is an uncertainty issue. This paper briefly states the basic process and types of threat assessment methods for warship air defense, using comparative research method, the mechanism and characteristics of the certainty/uncertainty assessment method for target threat assessment are compared. It also analyzes the application of fuzzy theory, neural network and genetic fuzzy tree in target threat assessment, which has certain reference value for the research of warship air defense target threat assessment.

Research on Assessment of Equipment Maintenance Training in Machine & Electric Company

2013 ◽  
Vol 718-720 ◽  
pp. 2491-2496
Author(s):  
Jin Hua Wen ◽  
Wen Yu Zhang ◽  
Yan Chen
Keyword(s):  
Continuous Improvement ◽  
Assessment Method ◽  
Core Competitiveness ◽  
Qualitative And Quantitative ◽  
The Core ◽  
Electric Company ◽  
Cloud Models ◽  
System Assessment ◽  
Mutual Conversion ◽  
The Core Competitiveness

To accumulate human resources and strengthen the core competitiveness in an company, the assessment method of maintenance training effectiveness based on cloud models is provided. This method blends together the subjective and objective information. At the same time, the method integrates the fuzzy and random completely, achieves the mutual conversion of qualitative and quantitative assessment, and deals with the uncertainty of the system assessment indexes effectively. On the other hand, the final results of the assessment can provide explicit improvement suggestions to ensure the continuous improvement of the training. Combined with an example, the method is validated finally.

scholarly journals Specifics of The Educational Process Organization at Universities When Training Students for Midterm Assessment in The Worldskills Format

2020 ◽  
Vol 79 ◽  
pp. 02014
Author(s):  
Tatyana Viktorovna Masharova ◽  
Tatyana Vasilievna Malova ◽  
Liudmila Varanetskaya
Keyword(s):  
Vocational Training ◽  
Career Guidance ◽  
Assessment Method ◽  
Educational Process ◽  
Expert Assessment ◽  
Qualitative And Quantitative ◽  
Literary Education ◽  
A Value ◽  
Independent Work

The relevance of the problem is determined by the need to identify, select, and provide pedagogical and psychological support for talented youth, its successful career guidance, and efficient self-realization. The educational process organization in training for midterm assessment in the WorldSkills format helps students achieve a new quality of education associated not only with educational results, but also with a value attitude to themselves and others. The goal of the study is to identify the specifics of the educational process organization at universities when training students for midterm assessment in the WorldSkills format. The research methods include theoretical analysis of pedagogical theory, practice, and experience in vocational training; modeling, comparison, referencing, and generalization; expert assessment method; and methods of qualitative and quantitative processing of research results. The main results of the study are the following: the content of the process of organizing practical classes and independent work on the discipline “Literary education of preschool children” has been determined; the activity forms and methods for their implementation have been developed, the objective criteria for their assessment have been determined; the functional responsibilities have been distributed between students and the teacher in the educational process; and the point rating system for assessing students’ activities while mastering the discipline in the WorldSkills format has been created.

Digital Twin of manufacturing systems: a case study on increasing the efficiency of reconfiguration

2020 ◽  
Vol 68 (6) ◽  
pp. 435-444 ◽  
Author(s):  
Behrang Ashtari Talkhestani ◽  
Michael Weyrich
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
Added Value ◽  
Future Research ◽  
System Availability ◽  
Qualitative And Quantitative ◽  
Digital Twin ◽  
System A ◽  
Set Up

AbstractThe added value of a Digital Twin for reconfiguring manufacturing systems promises an increase in system availability, a reduction in set-up and conversion times and enables the manufacturing of customer-specific products. To evaluate this claim, this paper selects an architecture of the Digital Twin and realizes it on the basis of an application scenario for a cyber-physical manufacturing system. A case study is used to test the reconfiguration of a manufacturing system by comparing two different methods, one without and one with use of the Digital Twin. In this paper, the process steps of both reconfigurations are described and discussed in detail and a qualitative and quantitative evaluation of the reconfiguration results is presented. Finally, this paper gives an outlook on future research on intelligent automation of manufacturing systems using the Digital Twin.

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