scholarly journals DEVELOP A FUZZY INFERENCE MODEL TO MEASURE THE QUALITY OF PROJECT MANAGEMENT PROCESSES IN A THIRD SECTOR INSTITUTION

2021 ◽  
Vol 9 (10) ◽  
pp. 246-283
Author(s):  
Juliana Câmara de Souza ◽  
Manoel Henrique Reis Nascimento
Keyword(s):  
Project Management ◽  
Fuzzy Inference ◽  
Fuzzy Model ◽  
Third Sector ◽  
Business Environment ◽  
Inference Model ◽  
Output Variable ◽  
Management Processes ◽  
Fuzzy Logic Method

The contemporary business environment seeks continuous improvement to remain competitive in the market, as customers increasingly demand quality products or services. In this perspective, this paper presents a methodology aimed at evaluating the quality of processes in the project management sector in a Third Sector Organization, based on the Fuzzy mathematical model. For this, linguistic variables (input) were developed according to information obtained from company Y, which enabled the application of the Fuzzy Logic method, in order to determine the output variable, which in this case is quality. After determining the rules, it was possible to obtain results that show that the developed fuzzy model has the potential to help improve the quality of processes.

Algorithmization of Project Management Processes

2020 ◽  
Vol 9 (1) ◽  
pp. 12-21
Author(s):  
David Tsiteladze
Keyword(s):  
Project Management ◽  
Systematic Approach ◽  
Project Manager ◽  
System Thinking ◽  
Structural Elements ◽  
Functional Area ◽  
Development Stages ◽  
Management Processes ◽  
Project Management Processes

The paper analyzes the systematic approach of project management. The description of the structural elements of a systematic approach is given — the project management methodology, game theory and system thinking theory. Due to the qualitative differences between the projects, the levels of project structuring and the needs of interested parties, the work describes a seriesparallel nature of the development stages of the project management. The paper proposes an algorithm for the basic project management processes that is fair for each functional area of the project. Using this algorithm will allow the project manager to increase the quality of management decisions and significantly reduce efforts and time for organizing the project management process.

Applying the Fuzzy Inference Model in Maintenance Centered to Safety

2020 ◽  
pp. 142-165
Author(s):  
Predrag D. Jovančić ◽  
Miloš Tanasijević ◽  
Vladimir Milisavljević ◽  
Aleksandar Cvjetić ◽  
Dejan Ivezić ◽  
...  
Keyword(s):  
Working Conditions ◽  
Fuzzy Inference ◽  
Main Idea ◽  
Statistical Processing ◽  
Engineering System ◽  
Engineering Systems ◽  
Inference Model ◽  
Processing Level

The main idea of this chapter is to promote maintenance centered to safety, in accordance to adaptive fuzzy inference model, which has online adjustment to working conditions. Input data for this model are quality of service indicators of analyzed engineering system: reliability, maintainability, failure consequence, and severity and detectability. Indicators in final form are obtained with permanent monitoring of the engineering system and statistical processing. Level of safety is established by composition and ranking of indicators according to fuzzy inference engine. The problem of monitoring and processing of indicators comprising safety is solved by using the features that Industry4.0 provides. Maintenance centered to safety is important for complex, multi-hierarchy engineering systems. Sudden failures on such systems could have significant financial and environmental effect. Developed model will be tested in the final part of the chapter, in the case study of bucket wheel excavator.

The use of fuzzy logic apparatus in development of expert systems for diagnosing traction electric motors of rolling stock

2020 ◽  
pp. 65-69
Author(s):  
Anna Vladimirovna Dolgova ◽  
◽  
Pavel Konstantinovich Shkodun ◽  
Keyword(s):  
Fuzzy Inference ◽  
Fuzzy Model ◽  
Technical Condition ◽  
Rolling Stock ◽  
Traction Motor ◽  
Electric Traction ◽  
Mechanical Machining ◽  
Comprehensive Indicator ◽  
Electric Traction Motor

The paper discusses the development of an expert system for diagnosing electric traction motors of rolling stock. The diagnostic parameters of the electric traction motor commutator-and-brush assembly, being the input linguistic variables of the fuzzy model, were selected with the use of graphoanalytic model. A fuzzy mathematical model and a fuzzy neural network for comprehensive indicator of quality of mechanical machining implementing the Takagi — Sugeno fuzzy inference algorithm were developed. The authors confirmed the practicability and the adequacy of the previously proposed comprehensive indicator of quality of mechanical machining for assessing the technical condition of the electric traction motor commutator-and-brush assembly. The studies carried out allowed creating an element of intelligent expert diagnostics system that enables a comprehensive assessment of technical condition of electric traction motor.

scholarly journals Scenarios for Evaluating a Semantic Project Management Approach

2011 ◽  
Vol 43 (1) ◽  
pp. 65-71 ◽  
Author(s):  
Birgit Dippelreiter ◽  
Michael Püttler
Keyword(s):  
Project Management ◽  
Data Storage ◽  
Management Systems ◽  
Management Approach ◽  
Semantic Technologies ◽  
Project Management System ◽  
Management Processes ◽  
Common Problems ◽  
Ongoing Project

Scenarios for Evaluating a Semantic Project Management ApproachKnowledge regarding closed projects is not sufficiently reused while planning new projects to improve the quality of project management processes. The reason is that current project management systems mainly support the ongoing project phase and do not explicitly consider the initiating and closing phase of a project management life cycle. By implementing semantic technologies within an existing open source project management system, these weaknesses can be improved. This system incorporates and links historical project knowledge that contributes to a more effective setup of upcoming projects. To design, develop and implement such a system we conducted interviews with IT companies regarding the strengths and weaknesses of the project management systems in use. On the basis of the interviews we identified three scenarios, which deal with the most common problems of project management, such as consistent data storage and how to retrieve information. These scenarios, described in this paper, are used as requirements and to evaluate the designed prototype.

scholarly journals APLIKASI SISTEM INFERENSI FUZZY METODE TSUKAMOTO DALAM PENILAIAN MUTU BENIH PADI

2015 ◽  
Vol 7 (1) ◽  
pp. 19
Author(s):  
Diasta Risi Esa Annisa ◽  
Mutia Nur Estri
Keyword(s):  
Fuzzy Inference System ◽  
Seed Quality ◽  
Fuzzy Inference ◽  
Fuzzy Rules ◽  
Rice Seed ◽  
Output Variable ◽  
Inference System ◽  
Rice Seeds ◽  
Input Variables

In this paper, we use the Fuzzy inference system of Tsukamoto method to determine the rice seeds quality. The input variables are production average, the age of plant, and fallen seeds, and the output variable is rice seed quality. The output is determined through 4 steps i.e. fuzzification, determine fuzzy rules, and defuzzification. The results show that the best  quality of  rice seed is IR 64 and the worst is Lusi.

THE INTEGRATION OF EXTENSION THEORY TO DESIGN A NEW FUZZY INFERENCE MODEL

2000 ◽  
Vol 09 (04) ◽  
pp. 473-492 ◽  
Author(s):  
YO-PING HUANG ◽  
HUNG-JIN CHEN ◽  
CHI-PENG OUYANG
Keyword(s):  
Fuzzy Inference ◽  
Fuzzy Model ◽  
Extension Theory ◽  
Turning Process ◽  
Inference Model ◽  
Single Input Single Output ◽  
Identification Process ◽  
Single Output ◽  
System Requirement ◽  
Single Input

A novel extension-based fuzzy model is proposed in this paper. The newly established extension theory is integrated into the conventional fuzzy system to enhance the reasoning capability. In parameter identification process, adjusting a membership function to satisfy one pattern may deteriorate the others performance and result in a lengthy turning process. This incompatible issue is alleviated by the extension theory. We will investigate how to define the extended relational functions and how to refine the roughly designed model to meet the system requirement. During the refining process, both the fired and the neighborhood of the fired membership functions are adjusted simultaneously. Simulation results from single-input-single-output and double-input-single-output models verified that better results than the conventional methods have been obtained.

The Impact of Project Management Maturity Levels on Project Success in the Construction and Engineering Industry in Bahrain

2019 ◽  
pp. 367-380
Author(s):  
Aysha Aljawder ◽  
Allam Mohammed Hamdan
Keyword(s):  
Organizational Culture ◽  
Life Cycle ◽  
Project Management ◽  
Performance Improvement ◽  
Project Success ◽  
Engineering Industry ◽  
Technological Advances ◽  
Management Processes ◽  
The Impact

Project management is a complex undertaking with many stages and processes. It should follow the full business life cycle from definition and justification of the project through to delivering demonstrable benefits for the company. Nowadays, more and more organizations adjust their organizational culture towards project orientation. There is a big challenge, for each organization, to continually improve its project management processes to increase quality of outputs and satisfaction of customers. Measuring project management implementation maturity can assist in this effort by providing a valuable framework for performance improvement. The construction and engineering industry in Bahrain has witnessed many technological advances recently that require competent project management.

scholarly journals The Measurement Model of Tourism Destination Images Using Fuzzy Inference System

2018 ◽  
Vol 1 (2) ◽  
pp. 106-112
Author(s):  
I Nyoman Sutapa ◽  
Magdalena Wullur
Keyword(s):  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Measurement Model ◽  
Tourism Destination ◽  
Inference Model ◽  
Inference System ◽  
Five Dimensions ◽  
Tourism Destinations ◽  
Quantitative Assessments

The article discusses the measurement model of tourism destination images perceived by travellers based on five dimensions of the service quality, i.e. tangibles, reliability, responsiveness, empathy, and assurance. Measurement problems occur when a traveller assesses the quality of a tourism destination service subjectively with vague boundaries and perceives the image of a tourism destination to vary. To address these issues, we designed an inference model using Mamdani's fuzzy inference system. The results of this study are quantitative assessments of the image of tourism destinations by various travellers based on qualitative perceptions of the quality of service experienced by the traveller.    

How Can Sustainable Development Redefine Project Management Processes?

2013 ◽  
pp. 1183-1202
Author(s):  
Mohamed Eid
Keyword(s):  
Sustainable Development ◽  
Project Management ◽  
Construction Industry ◽  
Construction Projects ◽  
Great Influence ◽  
Incremental Change ◽  
Leverage Point ◽  
Management Processes ◽  
Project Management Processes

The relationship between Project Management (PM) and Sustainable Development (SD) is tested in this chapter through its application on the construction industry. When PM is embedded in construction projects, it has the capacity to be a significant leverage point of great influence, and it becomes one of the cornerstones for rethinking the relationships between PM, SD, and the Construction Industry. The work presented discusses the need for integrating sustainable development into project management processes to ensure a better outcome for the construction industry, which is directly related to the degradation of our quality of life on the economic, social, and environmental levels. The author explores the origins and philosophies behind sustainability, the core of project management processes, the strategic implications of the construction industry practices, and puts forward the “systems thinking and points of leverage” approach to facilitate an efficient environment of integration. Thinking and acting sustainably requires not only incremental change but also a revolution in approach, a shift of perspective; sustainable project management processes are possible to achieve.

How Can Sustainable Development Redefine Project Management Processes?

2013 ◽  
pp. 76-94 ◽  
Author(s):  
Mohamed Eid
Keyword(s):  
Sustainable Development ◽  
Project Management ◽  
Construction Industry ◽  
Construction Projects ◽  
Great Influence ◽  
Incremental Change ◽  
Leverage Point ◽  
Management Processes ◽  
Project Management Processes

The relationship between Project Management (PM) and Sustainable Development (SD) is tested in this chapter through its application on the construction industry. When PM is embedded in construction projects, it has the capacity to be a significant leverage point of great influence, and it becomes one of the cornerstones for rethinking the relationships between PM, SD, and the Construction Industry. The work presented discusses the need for integrating sustainable development into project management processes to ensure a better outcome for the construction industry, which is directly related to the degradation of our quality of life on the economic, social, and environmental levels. The author explores the origins and philosophies behind sustainability, the core of project management processes, the strategic implications of the construction industry practices, and puts forward the “systems thinking and points of leverage” approach to facilitate an efficient environment of integration. Thinking and acting sustainably requires not only incremental change but also a revolution in approach, a shift of perspective; sustainable project management processes are possible to achieve.

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