scholarly journals Intelligent systems for additive manufacturing-based repair in remanufacturing: a systematic review of its potential

2021 ◽  
Vol 7 ◽  
pp. e808
Author(s):  
Siti Syahara Mad Yusoh ◽  
Dzuraidah Abd Wahab ◽  
Hiyam Adil Habeeb ◽  
Abdul Hadi Azman
Keyword(s):  
Decision Making ◽  
Additive Manufacturing ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Intelligent Systems ◽  
Research Areas ◽  
Modes Of Failure ◽  
Repair Efficiency ◽  
Human Decision ◽  
Directed Energy

The conventional component repair in remanufacturing involves human decision making that is influenced by several factors such as conditions of incoming cores, modes of failure, severity of damage, features and geometric complexities of cores and types of reparation required. Repair can be enhanced through automation using additive manufacturing (AM) technology. Advancements in AM have led to the development of directed energy deposition and laser cladding technology for repair of damaged parts and components. The objective of this systematic literature review is to ascertain how intelligent systems can be integrated into AM-based repair, through artificial intelligence (AI) approaches capable of supporting the nature and process of decision making during repair. The integration of intelligent systems in AM repair is expected to enhance resource utilization and repair efficiency during remanufacturing. Based on a systematic literature review of articles published during 2005–2021, the study analyses the activities of conventional repair in remanufacturing, trends in the applications of AM for repair using the current state-of-the-art technology and how AI has been deployed to facilitate repair. The study concludes with suggestions on research areas and opportunities that will further enhance the automation of component repair during remanufacturing using intelligent AM systems.

Decision Filed Theory

2018 ◽  
pp. 2108-2120
Author(s):  
Lan Shao ◽  
Jouni Markkula
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Intelligent Systems ◽  
Dft Theory ◽  
Practical Applications ◽  
Basic Model ◽  
Human Decision ◽  
Complex Decision Making ◽  
Ict System ◽  
Complex Decision

Human decision making theories and formal models are increasingly used for developing advanced ICT based intelligent systems and services. Decision Filed Theory (DFT) is one of the decision making theories that has significant potential for practical applications in real-world decision making situations. Successful empirical studied have shown that DFT theory is able to explain human decision making behaviour in real situations and the model can be applied as a basis for ICT system and service design. In this article, we present the results of a Systematic Literature Review that we conducted for analysing and synthesizing the evidence of DFT development and its validated usage in different application areas. The results show that the interest in DFT and its applications has grown strongly during the last years. The basic model has been extended to cover more complex decision making situations and its applications have been widening.

scholarly journals Systematic literature review of machine learning methods used in the analysis of real-world data for patient-provider decision making

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Alan Brnabic ◽  
Lisa M. Hess
Keyword(s):  
Machine Learning ◽  
Decision Making ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Real World ◽  
Learning Algorithms ◽  
External Validation ◽  
Machine Learning Algorithms ◽  
Learning Methods ◽  
Machine Learning Methods

Abstract Background Machine learning is a broad term encompassing a number of methods that allow the investigator to learn from the data. These methods may permit large real-world databases to be more rapidly translated to applications to inform patient-provider decision making. Methods This systematic literature review was conducted to identify published observational research of employed machine learning to inform decision making at the patient-provider level. The search strategy was implemented and studies meeting eligibility criteria were evaluated by two independent reviewers. Relevant data related to study design, statistical methods and strengths and limitations were identified; study quality was assessed using a modified version of the Luo checklist. Results A total of 34 publications from January 2014 to September 2020 were identified and evaluated for this review. There were diverse methods, statistical packages and approaches used across identified studies. The most common methods included decision tree and random forest approaches. Most studies applied internal validation but only two conducted external validation. Most studies utilized one algorithm, and only eight studies applied multiple machine learning algorithms to the data. Seven items on the Luo checklist failed to be met by more than 50% of published studies. Conclusions A wide variety of approaches, algorithms, statistical software, and validation strategies were employed in the application of machine learning methods to inform patient-provider decision making. There is a need to ensure that multiple machine learning approaches are used, the model selection strategy is clearly defined, and both internal and external validation are necessary to be sure that decisions for patient care are being made with the highest quality evidence. Future work should routinely employ ensemble methods incorporating multiple machine learning algorithms.

scholarly journals A Systematic Literature Review of Multi-Criteria Decision-Making Methods for Sustainable Selection of Insulation Materials in Buildings

2021 ◽  
Vol 13 (2) ◽  
pp. 737
Author(s):  
Indre Siksnelyte-Butkiene ◽  
Dalia Streimikiene ◽  
Tomas Balezentis ◽  
Virgilijus Skulskis
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Energy Demand ◽  
Energy Performance ◽  
Future Research ◽  
Multi Criteria Decision Making ◽  
Insulation Materials ◽  
Advantages And Disadvantages ◽  
Selection Of

The European Commission has recently adopted the Renovation Wave Strategy, aiming at the improvement of the energy performance of buildings. The strategy aims to at least double renovation rates in the next ten years and make sure that renovations lead to higher energy and resource efficiency. The choice of appropriate thermal insulation materials is one of the simplest and, at the same time, the most popular strategies that effectively reduce the energy demand of buildings. Today, the spectrum of insulation materials is quite wide, and each material has its own specific characteristics. It is recognized that the selection of materials is one of the most challenging and difficult steps of a building project. This paper aims to give an in-depth view of existing multi-criteria decision-making (MCDM) applications for the selection of insulation materials and to provide major insights in order to simplify the process of methods and criteria selection for future research. A systematic literature review is performed based on the Search, Appraisal, Synthesis and Analysis (SALSA) framework and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. In order to determine which MCDM method is the most appropriate for different questions, the main advantages and disadvantages of different methods are provided.

scholarly journals Multiple Criteria Decision Making for the Achievement of the UN Sustainable Development Goals: A Systematic Literature Review and a Research Agenda

2021 ◽  
Vol 13 (8) ◽  
pp. 4129
Author(s):  
Manuel Sousa ◽  
Maria Fatima Almeida ◽  
Rodrigo Calili
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Research Agenda ◽  
Sustainable Development Goals ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
2030 Agenda ◽  
Development Goals

Multiple-criteria decision making (MCDM) methods have been widely employed in various fields and disciplines, including decision problems regarding Sustainable Development (SD) issues. The main objective of this paper is to present a systematic literature review (SLR) on MCDM methods supporting decisions focusing on the achievement of UN Sustainable Development Goals (SDGs) and the implementation of the 2030 Agenda for Sustainable Development in regional, national, or local contexts. In this regard, 143 published scientific articles from 2016 to 2020 were retrieved from the Scopus database, selected and reviewed. They were categorized according to the decision problem associated with SDGs issues, the MCDM methodological approach, including the use (or not) of fuzzy set theory, sensitivity analysis, and multistakeholder approaches, the context of MCDM applications, and the MCDM classification (if utility-based, compromise, multi-objective, outranking, or other MCDM methods). The widespread adoption of MCDM methods in complex contexts confirms that they can help decision-makers solve multidimensional problems associated with key issues within the 2030 Agenda framework. Besides, the state-of-art review provides an improved understanding of this research field and directions for building a research agenda for those interested in advancing the research on MCDM applications in issues associated with the 2030 Agenda framework.

scholarly journals artikel PK deli rahmadani 18002004

2019 ◽  
Author(s):  
deli rahmadani ◽  
Rusdinal ◽  
Hade Afriansyah
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Systematic Literature Review

Abstract - This article aims to explain some things about decision making. The methodology used to regulate this article is Systematic Literature Review (SLR). Researchers search from several trusted sources and then analyze it. The results of this article are based on the analysis of researchers in general there are several things.

scholarly journals Teori Serta Pendekatan Dalam Pengambilan Keputusan

2019 ◽  
Author(s):  
Yuda maimandre ◽  
Hade Afriansyah
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Systematic Literature Review

This article aims to describe how decisions and theories in the decision-making approach that can be taken as consideration in deciding what to deal with. The methodology used to regulate this article is Systematic Literature Review (SLR). First, researchers find relevant theories, and then make conclusions about them, then analyze, and finally make new researchers who analyze information. The results of this article are based on the analysis of researchers in general there are four theories in the decision-making approach.

Entrepreneurship in rural hospitality and tourism. A systematic literature review of past achievements and future promises

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Arun Thirumalesh Madanaguli ◽  
Puneet Kaur ◽  
Stefano Bresciani ◽  
Amandeep Dhir
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Empirical Studies ◽  
The Body ◽  
Future Research ◽  
Limited Attention ◽  
High Concentration ◽  
Content Type ◽  
Research Areas ◽  
Hospitality And Tourism

Purpose Entrepreneurship in the rural hospitality and tourism sector (RHT) has received wide attention in the past decade. However, a systematic review on this topic is currently lacking. This study aims to track the progress of the RHT and entrepreneurship literature by examining the various thematic research areas, identifying the research gaps and forecasting avenues of future research on the topic. Design/methodology/approach This paper catalogs and synthesizes the body of literature from the year 2000–2020 using a systematic literature review methodology. After discussing a brief history of RHT and entrepreneurship, the current study presents a review of 101 research articles. Findings The review highlights that RHT and entrepreneurship have received relatively limited attention from entrepreneurship journals. The content analysis revealed different gaps and limitations in the understanding of entrepreneurship in RHT, including a predominance of qualitative studies with limited theoretically-grounded and generalizable empirical studies. Furthermore, a high concentration of studies is from European countries. Six main thematic research areas were identified, namely, barriers and enablers, the roles of an entrepreneur, women in RHT, influencers of firm performance, innovation and value creation and methodological commonalities. The review also advances an RHT entrepreneurship ecosystem framework to summarize the findings. Originality/value Six promising research avenues are outlined based on the six themes identified. The suggested research questions draw from allied literature on small and medium businesses, innovation, women entrepreneurship and institutions to encourage the interdisciplinary cross-pollination of ideas. The findings are summarized in a novel research framework.

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