Ontological modeling of manufacturing resources

2021 ◽  
Vol 16 (1) ◽  
pp. 87-109
Author(s):  
Emilio M. Sanfilippo ◽  
Walter Terkaj ◽  
Stefano Borgo
Keyword(s):  
Knowledge Representation ◽  
Data Integration ◽  
Data Sharing ◽  
Manufacturing Resources ◽  
Ontological Modeling ◽  
Basic Features ◽  
Multiple Experts

Standards and ontologies for manufacturing understand resources differently. Because of this heterogeneity, misunderstandings arise concerning the basic features that characterize them. The purpose of the paper is to investigate how to ontologically model resources with the goal of facilitating the development of knowledge representation models for manufacturing. By reviewing the literature, we discuss and compare three approaches for the representation of resources depending on whether they are conceived in connection to either processes, plans or goals. By addressing the advantages and shortcomings of each view, we present a unifying perspective to enable the modeling of resources in an integrated manner. In this way, the intended meanings of the used notions are harmonized and, as a result, one can facilitate multiple experts to interact e.g., via data sharing and/or data integration procedures. Differently, by keeping three separated views, there is no guarantee that data coming from different parties will share common meanings even if the same terms are used. By the end of the paper, we present a case study to show the application of our approach and to compare it with an existing ontology for manufacturing.

THE VALUE OF DATA INTEGRATION IN A COMPLEX WELL SCENARIO: A CASE STUDY FROM THE WEST NETHERLANDS

2020 ◽  
Author(s):  
Abhinandan Kohli ◽  
◽  
Emile Fokkema ◽  
Oscar Kelder ◽  
Zulkifli Ahmad ◽  
...  
Keyword(s):  
Data Integration ◽  
The West ◽  
Complex Well

Deep learning and complex network theory based analysis on socialized manufacturing resources utilisations and an application case study

2021 ◽  
pp. 1063293X2110031
Author(s):  
Maolin Yang ◽  
Auwal H Abubakar ◽  
Pingyu Jiang
Keyword(s):  
Deep Learning ◽  
Complex Network ◽  
Network Models ◽  
Neural Network Models ◽  
Complex Network Theory ◽  
New Type ◽  
Manufacturing Resource ◽  
Manufacturing Resources ◽  
Resource Characteristics

Social manufacturing is characterized by its capability of utilizing socialized manufacturing resources to achieve value adding. Recently, a new type of social manufacturing pattern emerges and shows potential for core factories to improve their limited manufacturing capabilities by utilizing the resources from outside socialized manufacturing resource communities. However, the core factories need to analyze the resource characteristics of the socialized resource communities before making operation plans, and this is challenging due to the unaffiliated and self-driven characteristics of the resource providers in socialized resource communities. In this paper, a deep learning and complex network based approach is established to address this challenge by using socialized designer community for demonstration. Firstly, convolutional neural network models are trained to identify the design resource characteristics of each socialized designer in designer community according to the interaction texts posted by the socialized designer on internet platforms. During the process, an iterative dataset labelling method is established to reduce the time cost for training set labelling. Secondly, complex networks are used to model the design resource characteristics of the community according to the resource characteristics of all the socialized designers in the community. Two real communities from RepRap 3D printer project are used as case study.

scholarly journals Conceptual Development and Dynamic Realism

2013 ◽  
pp. 133-151 ◽  
Author(s):  
Hanne Andersen
Keyword(s):  
Conceptual Development ◽  
Empirical Work ◽  
Family Resemblance ◽  
X Rays ◽  
Cognitive Sciences ◽  
Detailed Case ◽  
Basic Features

This paper focuses on Thomas S. Kuhn's work on taxonomic concepts and how it relates to empirical work from the cognitive sciences on categorization and conceptual development. I shall first review the basic features of Kuhn's family resemblance account and compare to work from the cognitive sciences. I shall then show how Kuhn's account can be extended to cover the development of new taxonomies in science, and I shall illustrate by a detailed case study that Kuhn himself mentioned only briefly in his own work, namely the discovery of X-rays and radioactivity.

scholarly journals "Me and my students' smartphones in the classroom": A case study using arts-based methods

2018 ◽  
Vol 1 (1) ◽  
pp. 35
Author(s):  
Eleni Vakali ◽  
Alexios Brailas
Keyword(s):  
Qualitative Research ◽  
Education Research ◽  
Visual Arts ◽  
Emotional Response ◽  
Freedom Of Expression ◽  
Art Music ◽  
Arts Based Research ◽  
Research Questions ◽  
Basic Features

There is a new area flourishing within qualitative research based on methods using all forms of art: music, theatre, visual arts, and literature. In this paper we present an overview of the basic features of arts-based research; emphasizing on their meaning on education research, on the freedom of expression given to the participants in the research, and on the method the researcher applies to evaluate the collected data. We then present an arts-based research case study where the research questions relate to teachers’ reactions to the use of smartphones by students in the classroom. In this case study, teachers, especially those working on secondary education, are invited to portray their thoughts, emotions, and images that respond to these questions by painting them on a paper using markers. The findings show that the majority of the teachers are negative about the children using their smartphone in the classroom, along with evidence for teachers’ emotional response and how to confront the phenomenon.

Supply chain agility in humanitarian protracted operations

2016 ◽  
Vol 6 (2) ◽  
pp. 173-201 ◽  
Author(s):  
Cécile L'Hermitte ◽  
Peter Tatham ◽  
Ben Brooks ◽  
Marcus Bowles
Keyword(s):  
Supply Chain ◽  
Humanitarian Logistics ◽  
Future Research ◽  
Short Term ◽  
Content Type ◽  
Emergency Operations ◽  
Supply Chain Agility ◽  
Agile Practices ◽  
Basic Features

Purpose – The purpose of this paper is to extend the concept of agility in humanitarian logistics beyond emergency operations. Since the humanitarian logistics literature focuses primarily on emergencies and sees longer term and regular operations as being conducted in relatively stable and predictable environments, agile practices are usually not associated with humanitarian protracted operations. Therefore, this paper explores the logistics and supply chain environment in such operations in order to identify their basic features and determine if agility is an important requirement. Design/methodology/approach – Using a case study of the United Nations World Food Programme, the authors collected and analysed qualitative and quantitative data on the characteristics of protracted operations, the risks and uncertainties most frequently encountered, their impact, and the ways that field logisticians manage contingencies. Findings – The research demonstrates that unpredictability and disruptions exist in protracted operations. Therefore, short-term operational adjustments and agile practices are needed in order to support the continuity of humanitarian deliveries. Research limitations/implications – Future research should focus on a wider range of humanitarian organisations and move from a descriptive to a prescriptive approach in order to inform practice. Notwithstanding these limitations, the study highlights the need for academics to broaden the scope of their research beyond emergencies and to address the specific needs of humanitarian organisations involved in longer term operations. Originality/value – This paper is the first empirical research focusing exclusively on the logistics features of humanitarian protracted operations. It provides a more concrete and complete understanding of these operations.

“Data stickiness” in interagency government data sharing: a case study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lihong Zhou ◽  
Longqi Chen ◽  
Yingying Han
Keyword(s):  
Data Sharing ◽  
Design Methodology ◽  
Research Study ◽  
Central China ◽  
Content Type ◽  
Study Approach ◽  
International Borders ◽  
Government Data ◽  
The Government

PurposeThe provision of high-quality e-Government services requires efficient and collaborative sharing of data across varied types of government agencies. However, interagency government data sharing (IDS) is not always spontaneous, active and unconditional. Adopting a stickiness theory, this paper reports on a research study, which explores the causes of data stickiness in IDS.Design/methodology/approachThis study employed an inductive case study approach. Twenty-three officials from the government of City M in Hubei Province, Central China, were approached and interviewed using a semi-structured question script.FindingsThe analysis of the interview data pointed to 27 causes of data stickiness in five main themes: data sharing willingness; data sharing ability; data articulatability; data residence; and data absorptive capacity. The analysis revealed that interagency tensions and lack of preparedness of individual agencies are the main causes of data stickiness in IDS.Originality/valueThe case setting is based on China's Government, but the findings offer useful insights and indications that can be shared across international borders.

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