A proactive decision making framework for condition-based maintenance

2015 ◽  
Vol 115 (7) ◽  
pp. 1225-1250 ◽  
Author(s):  
Alexandros Bousdekis ◽  
Babis Magoutas ◽  
Dimitris Apostolou ◽  
Gregoris Mentzas
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Literature Review ◽  
Real Time ◽  
Condition Based Maintenance ◽  
Sensor Data ◽  
Extensive Literature ◽  
Decision Space ◽  
Content Type ◽  
Extensive Literature Review

Purpose – The purpose of this paper is to perform an extensive literature review in the area of decision making for condition-based maintenance (CBM) and identify possibilities for proactive online recommendations by considering real-time sensor data. Based on these, the paper aims at proposing a framework for proactive decision making in the context of CBM. Design/methodology/approach – Starting with the manufacturing challenges and the main principles of maintenance, the paper reviews the main frameworks and concepts regarding CBM that have been proposed in the literature. Moreover, the terms of e-maintenance, proactivity and decision making are analysed and their potential relevance to CBM is identified. Then, an extensive literature review of methods and techniques for the various steps of CBM is provided, especially for prognosis and decision support. Based on these, limitations and gaps are identified and a framework for proactive decision making in the context of CBM is proposed. Findings – In the proposed framework for proactive decision making, the CBM concept is enriched in the sense that it is structured into two components: the information space and the decision space. Moreover, it is extended in a way that decision space is further analyzed according to the types of recommendations that can be provided. Moreover, possible inputs and outputs of each step are identified. Practical implications – The paper provides a framework for CBM representing the steps that need to be followed for proactive recommendations as well as the types of recommendations that can be given. The framework can be used by maintenance management of a company in order to conduct CBM by utilizing real-time sensor data depending on the type of decision required. Originality/value – The results of the work presented in this paper form the basis for the development and implementation of proactive Decision Support System (DSS) in the context of maintenance.

scholarly journals Knowledge sharing is knowledge transfer: a misconception in the literature

2016 ◽  
Vol 20 (4) ◽  
pp. 653-670 ◽  
Author(s):  
Gangeswari Tangaraja ◽  
Roziah Mohd Rasdi ◽  
Bahaman Abu Samah ◽  
Maimunah Ismail
Keyword(s):  
Knowledge Management ◽  
Knowledge Transfer ◽  
Literature Review ◽  
Knowledge Sharing ◽  
Design Methodology ◽  
Relevant Literature ◽  
Extensive Literature ◽  
Content Type ◽  
Extensive Literature Review ◽  
Practical Implications

Purpose The paper aims to clearly differentiate knowledge sharing (KS) and knowledge transfer (KT) besides exemplifying their interconnections to minimize the current confusions in the knowledge management (KM) literature. Design/methodology/approach An extensive literature review method was used to analyse relevant literature on both KS and KT to clearly delineate their differences and their interconnections. Findings The paper found that KS is a subset of KT (using personalization strategy), whereas KT as a whole is a broader concept, if compared with KS. However, KS is not one of the immediate processes involved in KT (using codification strategy). The processes involved in KS and KT differ according to the strategy used (in KT) and perspective chosen (in KS). Other findings include KS (unidirectional) as reflective concept (viewed so far), whereas KS (bidirectional), KT (personalization) and KT (codification) as formative concepts. Research limitations/implications The findings of this paper were based on the review of selected relevant articles only. Practical Implications The paper will minimize the current confusions in the KM literature and will assist future researches on both KS and KT to ensure what these concepts entail to avoid construct underrepresentation. Originality/value As compared to previous attempts, the present paper has shown the interconnections between KS and KT, as well as the differences based on the two perspectives of KS (unidirectional/bidirectional) and the two strategies of KT (personalization/codification), and such effort is new in the literature.

Combining RAMS with EEP for performance-based maintenance: a review

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tarwaji Warsokusumo ◽  
Toni Prahasto ◽  
Achmad Widodo
Keyword(s):  
Power Generation ◽  
Energy Efficiency ◽  
Literature Review ◽  
Extensive Literature ◽  
Generation System ◽  
Content Type ◽  
New Model ◽  
Extensive Literature Review ◽  
Power Generation System ◽  
Maintenance Decision

PurposeThe study aims to perform an extensive literature review in the area of the maintenance decision analysis (MDA), especially in power generation systems. In the basis of this review, the paper proposes a new model for the MDA which involves a combination of reliability, availability, maintainability and safety (RAMS) performance with energy efficiency performance (EEP).Design/methodology/approachStarting from the opportunity in Sustainable Development Scenario (SDS) by improving the energy efficiency (EE) and using renewable energy for the power generation system, also concerning to the major challenge of maintenance optimization in order to implement maintenance strategy, the maintenance decision-making and energetic efficiency management system (EEMS) have been reviewed. In the context of power generation system's performance, the measurement is also analyzed and identified. Then, the extensive literature review has been performed to compare between RAMS and EEP. And finally, the limitation and gap, where EEP is not yet a complementary consideration during MDA being identified and a new model for the performance-based MDA is proposed.FindingsThe new model proposed for the performance-based MDA is able to be used to conduct maintenance decision by utilizing the combination of RAMS and EEP depending on the type of decision required.Practical implicationsThere is an opportunity for a maintenance organization of power generation plant to apply this new model proposed for the MDA in order to optimize the maintenance scope and schedule.Originality/valueThe result of work in this paper forms the basis for combining RAMS with EEP as performance-based MDA tools in the context of maintenance of the power generation system.

scholarly journals Condition-Based Maintenance—An Extensive Literature Review

Machines ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 31 ◽  
Author(s):  
Elena Quatrini ◽  
Francesco Costantino ◽  
Giulio Di Gravio ◽  
Riccardo Patriarca
Keyword(s):  
Literature Review ◽  
Meta Analysis ◽  
Implementation Strategies ◽  
Research Field ◽  
Condition Based Maintenance ◽  
Future Research ◽  
Extensive Literature ◽  
Main Research ◽  
Extensive Literature Review ◽  
Specific Implementation

This paper presents an extensive literature review on the field of condition-based maintenance (CBM). The paper encompasses over 4000 contributions, analysed through bibliometric indicators and meta-analysis techniques. The review adopts Factor Analysis as a dimensionality reduction, concerning the metric of the co-citations of the papers. Four main research areas have been identified, able to delineate the research field synthetically, from theoretical foundations of CBM; (i) towards more specific implementation strategies (ii) and then specifically focusing on operational aspects related to (iii) inspection and replacement and (iv) prognosis. The data-driven bibliometric results have been combined with an interpretative research to extract both core and detailed concepts related to CBM. This combined analysis allows a critical reflection on the field and the extraction of potential future research directions.

scholarly journals Minimising the Monopoly Among Construction Players in Klang Valley, Malaysia

2020 ◽  
Vol 5 (2) ◽  
pp. 19-33
Author(s):  
Mashanim Mahazir ◽  
◽  
Arief Nashrin Kamarudzaman ◽  
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Literature Review ◽  
Competitive Advantage ◽  
Extensive Literature ◽  
Business World ◽  
The Sustainable Development ◽  
Extensive Literature Review ◽  
Klang Valley ◽  
The Right

The rising innovations of technologies, some companies have developed greed towards owning as many projects as possible. Those involved think that they are the only ones who should be handling complex works as they are the only ones who have the right equipment to do the right job. This act of greed in the business world is known as ‘monopoly’. Twenty three (23) papers were referred through extensive literature review in order to know types of monopolies, factors causing the monopoly and proposed solution to minimize monopoly among conatruction players. As a result, contractor became the most contributor to monopoly due to croinism. In order to minimize the monopoly, one should enhance the competitive advantage, embrace the sustainable development and transparency in decision making.

scholarly journals Contextual layers of service experience in professional business services

2018 ◽  
Vol 33 (8) ◽  
pp. 1114-1124 ◽  
Author(s):  
Johanna Still ◽  
Hanna Komulainen ◽  
Satu Nätti
Keyword(s):  
Literature Review ◽  
Professional Services ◽  
Professional Service ◽  
Extensive Literature ◽  
Business Services ◽  
Service Experience ◽  
Content Type ◽  
Extensive Literature Review ◽  
Professional Business Services ◽  
Professional Business

Purpose This study provides us with new knowledge in the form of conceptual framework of the contextual layers of service experience within professional business services. This study aims to answer the following questions: What kinds of contextual layers can be identified influencing service experience? How specific characteristics of professional service context may influence customer experience at these different layers? Design/methodology/approach The framework is based on extensive literature review considering research in the fields of service and relationship perspectives, likewise professional services. Findings The framework is based on extensive literature review in the fields of service and relationship perspectives, likewise professional services. Originality/value Only a limited number of studies seem to address the highly topical context of professional/knowledge-intensive business services and relationships. The authors tie the discussion concerning different contextual layers of service experience to this specific operating context with the aim of identifying their importance and influence in service experience. Related to this context, this study highlights the importance of understanding role of individuals in service experience, rarely emphasized in B2B dyadic setting. The framework also contributes to current discussion regarding service experience and “zooms in” to the context and its detailed levels.

Development of a framework for lean enterprise

2020 ◽  
Vol 24 (4) ◽  
pp. 431-459 ◽  
Author(s):  
Naga Vamsi Krishna Jasti ◽  
Srinivas Kota ◽  
Samir Ramdas Kale
Keyword(s):  
Literature Review ◽  
Clinical Approach ◽  
Extensive Literature ◽  
Content Type ◽  
Extensive Literature Review ◽  
Lean Enterprise ◽  
Road Map ◽  
Comprehensive Framework ◽  
Verification Methodology ◽  
Future Work

Purpose Lean enterprise (LE) is one of the emerging fields because of its impact across industry sectors. There were many LE framework articles published in the past without reviewing or considering the already published literature which lead to lots of inconsistencies in the existing frameworks of LE. This study aims to critically review the existing frameworks to identify inconsistencies and propose a new LE framework to overcome limitations of the existing LE frameworks. Design/methodology/approach A systematic literature review was conducted to identify the existing LE frameworks. All these identified frameworks were classified based on the following criteria: novelty of the framework; based on participation of academicians/practitioners/consultants; whether the proposed frameworks were verified; type of verification methodology used; and the degree of standardization of LE elements. A comprehensive LE framework was proposed after a thorough review of the existing LE frameworks which has been validated through reliability analysis and validity analysis. Findings The analysis revealed major inconsistencies such as lack of adaptation of existing frameworks in literature which lead to incoherent elements in LE frameworks. The study also found shortage of significant participation of academicians and practitioners in LE frameworks development compared to consultants. The present work established a road map to find a “cohesive theory of LE”, which resulted in the development of a set of coherent elements. Finally, a comprehensive LE framework was proposed with the help of extensive literature review. The initially proposed 106 elements were condensed to 50 after the validation to increase the focus and relevance. Research limitations/implications The proposed LE framework needs to be validated via an empirical approach or clinical approach such as a case study which will be the future work. Originality/value The present study performed extensive literature review to identify LE-related articles, corresponding elements and established coherency among them. A new comprehensive framework was proposed.

scholarly journals What drives inter-organisational knowledge management? The cause and effect analysis using a multi-layer multi-criteria decision-making framework

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hannan Amoozad Mahdiraji ◽  
Moein Beheshti ◽  
Vahid Jafari-Sadeghi ◽  
Alexeis Garcia-Perez
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Literature Review ◽  
Influential Factors ◽  
Extensive Literature ◽  
Sustainable Competitive Advantage ◽  
Effect Analysis ◽  
Content Type ◽  
Expert Opinions ◽  
Managerial Implications

Purpose Knowledge management seeks collaborative practices among organisations to generate technical, adapt and share knowledge to obtain a sustainable competitive advantage in cross-border business activities. This paper aims to disentangle the crucial determinants of knowledge management in inter-organisational arrangements settings. Design/methodology/approach In the first stage, after an in-depth literature review, the main knowledge management drivers are identified. In the second stage, based on the identified drivers, the importance and relationship between the drivers are evaluated by expert opinions from academic and executive activists. Eventually, in the last stage, a multi-layer decision-making approach has been proposed and used to determine the relationship and the importance of the drivers. Findings The findings of this paper assess the ranking of the different elements from experts’ opinions and discuss important theoretical and managerial implications. The influential factors were identified through an extensive literature review, which combined with the views of experts from academia and industry (international firms). Furthermore, the ranking of factors based on the experts’ overall opinion was used to discuss theoretical and managerial contributions. Originality/value This research provides a better understanding of the interrelationships between the key drivers of knowledge management, which helps management draw more effective strategies to address the cultural differences between firms. Moreover, understanding of the importance of the systems and structures that define the nature of the collaboration in inter-organisational settings, as well as the risks related to those are presented in this research.

Coaching to enhance self-regulated learning

2017 ◽  
Vol 25 (4) ◽  
pp. 3-6 ◽  
Author(s):  
Randall Paul Bandura ◽  
Paul Lyons
Keyword(s):  
Literature Review ◽  
Design Methodology ◽  
Employee Performance ◽  
Extensive Literature ◽  
Organizational Success ◽  
Content Type ◽  
Self Regulated Learning ◽  
Extensive Literature Review ◽  
Regulated Learning

Purpose This paper aims to express the value of manager/supervisor coaching with the intent of improving employee self-regulated learning (SRL). It examines the concept of SRL and its components; how SRL can assist employee performance and contribute to organizational success; and ways in which managers may intervene with employees via coaching to assist employees’ learning. Design/methodology/approach This discussion of SRL and coaching is based on an extensive literature review of recent research regarding SRL. Findings There are many practical opportunities for managers to enhance SRL of employees through coaching in the workplace. Originality/value There are many practical opportunities for managers to enhance SRL of employees through coaching in the workplace.

Cybersecurity: investing for competitive outcomes

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dejan Kosutic ◽  
Federico Pigni
Keyword(s):  
Literature Review ◽  
Competitive Advantage ◽  
Dynamic Capabilities ◽  
Extensive Literature ◽  
Structured Interviews ◽  
Content Type ◽  
Extensive Literature Review ◽  
Industry Standards ◽  
Technological Bias ◽  
The Impact

Purpose The purpose of this paper is to help companies address the problem of ever-increasing cybersecurity investment that does not produce tangible business value – this is achieved by explaining the relationship between cybersecurity and competitive advantage. Design/methodology/approach The impact of cybersecurity on competitive advantage was explored through a qualitative research study – the authors conducted an extensive literature review and conducted two rounds of semi-structured interviews with executives and security professionals from companies in four countries, from the financial, IT and security industries. Findings The analysis of the findings enabled the conceptualization of the Cybersecurity Competitive Advantage Model that explains how to build up cybersecurity dynamic capabilities to achieve long-term competitive advantage. Research limitations/implications The research presents the theorization of the model based on an extensive literature review, gathered information, insight from qualified respondents and the authors’ experience in the field. While we controlled for saturation and rigorously collected and analyzed the data, the inductive approach followed may limit the generalizability of the findings. Practical implications The proposed model helps explain to executives how to differentiate their company in a novel way and how to retain that competitive advantage; security professionals can use the model to organize cybersecurity and communicate to their superiors more effectively. Originality/value The presented model differs from existing literature, cybersecurity frameworks and industry standards by presenting a method of avoiding technological bias and for achieving competitive advantage.

Perceived Effectiveness of Artificial Intelligence based Decision Support System in a Clinical Setting: A Systematic Literature Review (Preprint)

2020 ◽  
Author(s):  
Avishek Choudhury
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Decision Support ◽  
Literature Review ◽  
Decision Support System ◽  
Support System ◽  
Clinical Setting ◽  
Clinical Decision Making ◽  
Theoretical Perspective ◽  
Care Providers

UNSTRUCTURED Objective: The potential benefits of artificial intelligence based decision support system (AI-DSS) from a theoretical perspective are well documented and perceived by researchers but there is a lack of evidence showing its influence on routine clinical practice and how its perceived by care providers. Since the effectiveness of AI systems depends on data quality, implementation, and interpretation. The purpose of this literature review is to analyze the effectiveness of AI-DSS in clinical setting and understand its influence on clinician’s decision making outcome. Materials and Methods: This review protocol follows the Preferred Reporting Items for Systematic Reviews and Meta- Analyses reporting guidelines. Literature will be identified using a multi-database search strategy developed in consultation with a librarian. The proposed screening process consists of a title and abstract scan, followed by a full-text review by two reviewers to determine the eligibility of articles. Studies outlining application of AI based decision support system in a clinical setting and its impact on clinician’s decision making, will be included. A tabular synthesis of the general study details will be provided, as well as a narrative synthesis of the extracted data, organised into themes. Studies solely reporting AI accuracy an but not implemented in a clinical setting to measure its influence on clinical decision making were excluded from further review. Results: We identified 8 eligible studies that implemented AI-DSS in a clinical setting to facilitate decisions concerning prostate cancer, post traumatic stress disorder, cardiac ailment, back pain, and others. Five (62.50%) out of 8 studies reported positive outcome of AI-DSS. Conclusion: The systematic review indicated that AI-enabled decision support systems, when implemented in a clinical setting and used by clinicians might not ensure enhanced decision making. However, there are very limited studies to confirm the claim that AI based decision support system can uplift clinicians decision making abilities.

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