A State-of-the-Art Critique Review of the Role of Decision-Making Techniques in NDT for Condition Monitoring

2019 ◽  
pp. 222-236
Author(s):  
Ashish Khaira ◽  
Ravi K. Dwivedi
Keyword(s):  
Decision Making ◽  
Condition Monitoring ◽  
Research Work ◽  
Research Papers ◽  
Operating Personnel ◽  
Detailed Review ◽  
Effective Condition ◽  
Year 2000 ◽  
Selection Of

Nondestructive testing (NDT) is a vital tool in maintenance. Each NDT technique has some benefits and hindrances; therefore, the selection is crucial. Generally, the selection of a technique relies on operating personnel experience, and very few research papers shows uses of the decision-making (DM) approach. It was highlighted by various researchers that if a proper DM approach is used, it will save time and increase fault detection reliability. By keeping this fact in mind, this chapter is an attempt to provide a detailed review of research work from the year 2000-2018 that covered the role of DM techniques while making combinations of NDT for effective condition monitoring. It observed from the literature that very few researchers effectively utilized the power of DM tool. The researcher can use the outcome of this work as a beacon and improve it further.

A State of Art Critique Review of Role of Optimization in NDTS for Effective Condition Monitoring

2019 ◽  
pp. 189-204 ◽  
Author(s):  
Ashish Khaira ◽  
Ravi K. Dwivedi
Keyword(s):  
Process Optimization ◽  
Condition Monitoring ◽  
Optimization Technique ◽  
Research Work ◽  
Pivotal Role ◽  
Detailed Review ◽  
Effective Condition ◽  
Condition Based Monitoring ◽  
State Of Art

Nondestructive testing (NDT) techniques play a pivotal role in a condition-based monitoring system. Generally, using an optimization technique for optimizing the available solution gives added advantage. By keeping this fact in mind, this chapter is an attempt to provide a detailed review of research work from 2000-2018 that covered the role of optimization for effective condition monitoring using NDTs. It was observed from literature that little work found related to NDT process optimization. The researcher and practitioner can use the outcome of this work as a beacon and improve it further.

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN GURU BERPRESTASI KOTA MEDAN MENERAPKAN METODE PREFERENCES SELECTION INDEX (STUDI KASUS : DINAS PENDIDIKAN KOTA MEDAN)

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Fajar Syahputra ◽  
Mesran Mesran ◽  
Ikhwan Lubis ◽  
Agus Perdana Windarto
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Formal Education ◽  
Basic Education ◽  
Selection Index ◽  
Main Task ◽  
Selection Of

The teacher is a major milestone in the world of education, the ability and achievement of students cannot be separated from the role of a teacher in teaching and guiding students. Based on the Law of the Republic of Indonesia No. 14 of 2005 concerning Teachers and Lecturers, in Article 1 explained that teachers are professional educators with the main task of educating, teaching, guiding, directing, training, evaluating, and evaluating students in early childhood education through formal education, basic education and education medium. Whereas in Article 4 of the Act, it is explained that the position of teachers as professionals serves to enhance the dignity and role of teachers as learning agents to function to improve the quality of national education.Decision making is an election process, among various alternatives that aim to meet one or several targets. The decision-making system has 4 phases, namely intelligence, design, choice and implementation. These phases are the basis for decision making, which ends with a recommendation.The Preferences Selection Index (PSI) method is a rarely used decision support system method. This method is a method developed by stevanie and Bhatt (2010) to solve the Multi Criteria Decision Making (MCDM). With the right consideration, this method can be one of the tools to determine policies in decision-making systems, especially the selection of outstanding teachers. Determination of policies taken as a basis for decision making, must use criteria that can be defined clearly and objectively.Keywords: Decision Support System, PSI, Selection of Achieving Teachers

scholarly journals Treatment selection of early stage non-small cell lung cancer: the role of the patient in clinical decision making

BMC Cancer ◽  
2018 ◽  
Vol 18 (1) ◽  
Author(s):  
S. Mokhles ◽  
J. J. M. E. Nuyttens ◽  
M. de Mol ◽  
J. G. J. V. Aerts ◽  
A. P. W. M. Maat ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Decision Making ◽  
Small Cell Lung Cancer ◽  
Clinical Decision Making ◽  
Early Stage ◽  
Clinical Decision ◽  
Small Cell ◽  
Small Cell Lung ◽  
Selection Of

scholarly journals Investigating the role of natural phyto-oestrogens on bone health in postmenopausal women

2003 ◽  
Vol 89 (S1) ◽  
pp. S87-S99 ◽  
Author(s):  
Silvia Valtueña ◽  
Kevin Cashman ◽  
Simon P. Robins ◽  
Aedin Cassidy ◽  
Alwine Kardinaal ◽  
...  
Keyword(s):  
Decision Making ◽  
Clinical Trials ◽  
Bone Loss ◽  
Postmenopausal Women ◽  
Bone Health ◽  
Early Stage ◽  
Daily Intake ◽  
Present Knowledge ◽  
Selection Of

Research on the bone effects of natural phyto-oestrogens after menopause is at a relatively early stage. Published studies are few, difficult to compare and often inconclusive, due in part to design weaknesses. Currently, many questions remain to be answered including to what extent a safe daily intake may prevent postmenopausal bone loss. These questions can only be addressed by conducting well-planned, randomised clinical trials that take into consideration present knowledge in the oestrogen, phyto-oestrogen and bone fields. This review is intended to provide hints for critical decision-making about the selection of subjects, type of intervention, suitable outcome measures and variables that need to be controlled.

scholarly journals An Evaluation Model of Quantitative and Qualitative Fuzzy Multi-Criteria Decision-Making Approach for Location Selection of Transshipment Ports

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Ji-Feng Ding ◽  
Chien-Chang Chou
Keyword(s):  
Decision Making ◽  
Distance Measure ◽  
Evaluation Model ◽  
Multi Criteria Decision Making ◽  
Location Selection ◽  
Container Logistics ◽  
Proposed Model ◽  
Fuzzy Mcdm ◽  
Selection Of

The role of container logistics centre as home bases for merchandise transportation has become increasingly important. The container carriers need to select a suitable centre location of transshipment port to meet the requirements of container shipping logistics. In the light of this, the main purpose of this paper is to develop a fuzzy multi-criteria decision-making (MCDM) model to evaluate the best selection of transshipment ports for container carriers. At first, some concepts and methods used to develop the proposed model are briefly introduced. The performance values of quantitative and qualitative subcriteria are discussed to evaluate the fuzzy ratings. Then, the ideal and anti-ideal concepts and the modified distance measure method are used in the proposed model. Finally, a step-by-step example is illustrated to study the computational process of the quantitative and qualitative fuzzy MCDM model. The proposed approach has successfully accomplished our goal. In addition, the proposed fuzzy MCDM model can be empirically employed to select the best location of transshipment port for container carriers in the future study.

An integrated fuzzy-based multi-criteria decision-making approach for the selection of an effective manufacturing system

2018 ◽  
Vol 25 (1) ◽  
pp. 280-296 ◽  
Author(s):  
Ram Prakash ◽  
Sandeep Singhal ◽  
Ashish Agarwal
Keyword(s):  
Decision Making ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Research Work ◽  
Sustainable Growth ◽  
Multi Criteria Decision Making ◽  
Content Type ◽  
Manufacturing Company ◽  
Selection Of

Purpose The research paper presents analysis and prioritization of barriers influencing the improvement in the effectiveness of manufacturing system. The purpose of this paper is to develop an integrated fuzzy-based multi-criteria decision-making (F-MCDM) framework to assist management of the case company in the selection of most effective manufacturing system. The framework helps in prioritizing the manufacturing systems on the basis of their effectiveness affected by the barriers. Design/methodology/approach In this paper, on the basis of experts’ opinion, five barriers have been identified in a brain-storming session. The problem of prioritization of manufacturing system is a multi-criteria decision-making (MCDM) problem and hence is solved by using the F-MCDM approach using dominance matrix. Findings Manufacturing systems’ effectiveness for Indian industries is influenced by barriers. The prioritization of manufacturing systems depends on qualitative factor decision-making criteria. Among the manufacturing systems, leagile manufacturing system is given the highest priority followed by lean manufacturing system, agile manufacturing system, flexible manufacturing system and cellular manufacturing system. Research limitations/implications The selection of an appropriate manufacturing system plays a vital role for sustainable growth of the manufacturing company. In the present work, barriers which influence the effectiveness of manufacturing system have been identified. On the basis of degree of influence of barriers on the effectiveness of the manufacturing system, five alternative manufacturing systems are prioritized. The framework will help the management of the case company to take reasonable decision for the adoption of the appropriate manufacturing system. Practical implications The results of the research work are very useful for the manufacturing companies interested in analyzing the alternative manufacturing systems on the basis of their effectiveness and their sensitivity toward various barriers. The management of Indian manufacturing company will take decision to adopt a manufacturing system whose effectiveness is least sensitive toward barriers. Effectiveness of such manufacturing system will improve with time without having retardation due to barriers. With improved effectiveness of the manufacturing system, the manufacturing company would be able to survive with global competition. The result of the present work is based on the inputs from the case company and may vary for the other manufacturing company. In the present work, only five alternative manufacturing systems and five barriers have been considered. To obtain the better result, MCDM approach with more number of alternative manufacturing systems and barriers might be considered. Originality/value The research work is based on the fuzzy analytic hierarchy process framework and on the case study conducted by the authors. The work carried out is original in nature and based on the real-life case study.

scholarly journals Fungsi Keluarga Terhadap Pengambilan Keputusan Remaja dalam Pemilihan Jurusan

2020 ◽  
Vol 4 (1) ◽  
pp. 24
Author(s):  
Yeni Anna Appulembang ◽  
Agustina Agustina
Keyword(s):  
Decision Making ◽  
Family Support ◽  
Career Decision ◽  
P Value ◽  
Career Decision Making ◽  
The Family ◽  
Family Based ◽  
Grade One ◽  
Selection Of

Adolescence is a period where their seems to be separated from the role of  their parents and more independent in making their own decisions. But this time, the family plays a role in the behavior of adolescents in the decision making process, one of which is related to education in the selection of majors degree in university  that will determine the future of their children. This research aims to determine the role of family support  In adolescent  for career decision making in major degree a in university. Causal comparative study was used and a sample 301 college student in grade one was selected through nonprobability sampling.  This research was used two research tolls such as the role family was used Family Asessment Device (FAD) and decision making was used Career Decision-Making Profile. The result in this research found that score of the role of family based on mean hipotetic is lower than mean empiric. It means that, the role of family low category. In this research also showed the result  used simple regression ,  F value 0.790 and p value 0.099 > 0.05. it means there is no significant the role of family support in adolescent for decision making in major degree in university.

scholarly journals Valuation of peers’ safe choices is associated with substance-naïveté in adolescents

2020 ◽  
Vol 117 (50) ◽  
pp. 31729-31737
Author(s):  
Dongil Chung ◽  
Mark A. Orloff ◽  
Nina Lauharatanahirun ◽  
Pearl H. Chiu ◽  
Brooks King-Casas
Keyword(s):  
Decision Making ◽  
Functional Neuroimaging ◽  
Quantitative Model ◽  
Social Signals ◽  
Risky Decision ◽  
Substance Exposure ◽  
Subjective Value ◽  
Selection Of ◽  
Substance Exposed

Social influences on decision-making are particularly pronounced during adolescence and have both protective and detrimental effects. To evaluate how responsiveness to social signals may be linked to substance use in adolescents, we used functional neuroimaging and a gambling task in which adolescents who have and have not used substances (substance-exposed and substance-naïve, respectively) made choices alone and after observing peers’ decisions. Using quantitative model-based analyses, we identify behavioral and neural evidence that observing others’ safe choices increases the subjective value and selection of safe options for substance-naïve relative to substance-exposed adolescents. Moreover, the effects of observing others’ risky choices do not vary by substance exposure. These results provide neurobehavioral evidence for a role of positive peers (here, those who make safer choices) in guiding adolescent real-world risky decision-making.

scholarly journals Assessment and Selection of Technologies for the Sustainable Development of an R&D Center

2020 ◽  
Vol 12 (23) ◽  
pp. 10087
Author(s):  
Rafael Lizarralde ◽  
Jaione Ganzarain ◽  
Mikel Zubizarreta
Keyword(s):  
Decision Making ◽  
New Technologies ◽  
Selection Process ◽  
Multiple Criteria Decision Making ◽  
Industrial Applications ◽  
The Sustainable Development ◽  
Industrial Enterprises ◽  
Decision Making Model ◽  
Selection Of

The central role of R&D centers in the advancement of technology within industrial enterprises is undeniable and clearly affects their strategies, their competitiveness and their business sustainability. R&D centers assume responsibility for technology recognition, collection, acquisition, development and transition. Among their activities, the efficient choice of emerging technologies in the Technology Management Process is becoming a real challenge. In such heterogeneous scenarios, Multiple Criteria Decision Making (MCDM) models are commonly proposed as an appropriate decision-making approach. Multiple research works address the selection of particular technologies in industrial applications, but very few references can be found related to research institutions, and R&D centers in particular. Therefore, a decision-making model is provided in this study following the MIVES multi criteria method for the assessment of one or more technologies. The model is then applied to two case studies related to the selection process of new technologies at a Spanish R&D Center specialized in manufacturing.

Searching for Pareto-Optimal Settlements in Negotiations

2012 ◽  
pp. 24-39
Author(s):  
Joao S. Neves ◽  
Behnam Nakhai
Keyword(s):  
Decision Making ◽  
Pareto Optimal ◽  
Search Procedure ◽  
Collaborative Negotiation ◽  
States Of Nature ◽  
Negotiation Problem ◽  
Selection Of

Decision-making analysts are generally familiar with the maximin and minimax criteria used in the selection of alternative courses of action when payoffs depend on different states of nature. This paper applies these criteria to the collaborative negotiation problem in which two parties negotiate the resolution of several issues each with defined payoffs, and where the alternative choices for each party are qualitative attributes or non-differentiable variables. The proposed method assumes that the negotiators do not know each other’s payoffs and are generally unwilling to disclose information about their preferences. The search procedure for Pareto-optimal settlements and the role of the mediator in assisting the parties to achieve an improved negotiated agreement are analyzed and illustrated through an example.

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