KMIS 2020 Abstracts

Full Papers Short Papers
Full Papers
Paper Nr: 5
Title:

Automatic Ontology Learning from Domain-specific Short Unstructured Text Data
Authors:

Yiming Xu, Dnyanesh Rajpathak, Ian Gibbs and Diego Klabjan
Abstract: Ontology learning is a critical task in industry, which deals with identifying and extracting concepts reported in text such that these concepts can be used in different tasks, e.g. information retrieval. The problem of ontology learning is non-trivial due to several reasons with a limited amount of prior research work that automatically learns a domain specific ontology from data. In our work, we propose a two-stage classification system to automatically learn an ontology from unstructured text. In our model, the first-stage classifier classifies candidate concepts into relevant and irrelevant concepts and then the second-stage classifier assigns specific classes to the relevant concepts. The proposed system is deployed as a prototype in General Motors and its performance is validated by using complaint and repair verbatim data collected from different data sources. On average, our system shows the F1-score of 0.75, even when data distributions are vastly different.
Download
Paper Nr: 9
Title:

Evaluating Task Knowledge as a Mediator in the Relationship between Knowledge Sharing and Innovative Work Behaviour
Authors:

Shahnawaz Muhammed, Valmira Osmanaj, Atik Kulakli and Syed H. Zaidi
Abstract: It is widely recognized that knowledge sharing contributes to innovation in organizations. The implicit assumption in the linkage between individual knowledge sharing and their innovative work behaviour is that individuals gain certain qualities while being engaged in knowledge sharing that enable them to become more innovative. In this paper, we explore employee task knowledge as a key mediator in the relationship between knowledge sharing and their innovative work behaviour. Data collected from knowledge workers from several manufacturing and service based organizations is used to test the mediation hypotheses. Results support our mediation hypothesis and show that task knowledge partially mediates knowledge sharing’s impact on innovative work behaviour. Knowledge sharing had a positive impact on innovative work behaviour even after considering task knowledge as a mediator, suggesting other mechanisms at work in addition to their task knowledge in how knowledge sharing contributes to innovation. Theoretical and practical implications of the findings are also discussed.
Download
Paper Nr: 10
Title:

Sociotechnical Determinants’ Effects on Person-job Fit and Life Satisfaction in Two Different Knowledge Work Contexts
Authors:

Ilona Toth, Sanna Heinänen, Anna-Maija Nisula and Aino Kianto
Abstract: The purpose of this paper is to study the role of person-job fit as a mediator between perceived organizational support, organization engagement, as well as technology ease of use and general life satisfaction. New forms of organizing knowledge work may challenge conventional employee well-being theories; therefore, it is important to investigate aspects that affect knowledge workers’ satisfaction with life. We built a theoretical model and used SEM with LISREL to test our hypotheses with a dataset (N = 332) composed of traditional knowledge workers (n = 190) and digital work platform experts (n = 142). Our results show that the relationship between person-job fit and life satisfaction is stronger for traditional knowledge workers, and that organization engagement is more important to traditional knowledge workers, while technology ease of use is more important for digital work platform experts. Our findings indicate that there are differences in the antecedents of person-job fit depending on the knowledge work context.
Download
Paper Nr: 13
Title:

Collaborative Virtual Reality as an Adaptable Boundary Object in the Design Phase of Facility Life Cycle
Authors:

Annikka Lepola, Hannu Kärkkäinen, Henri Jalo and Osku Torro
Abstract: Although the large majority of costs of buildings incur in the later operation and maintenance phase, major decisions affecting these costs are made in the early design and construction phases. Virtual Reality (VR) and Collaborative Virtual Reality (CVR) have been noticed to have significant potential in involving the expertise and needs of various stakeholders into the early design phases, increasing the quality of building designs and reducing related costs. Boundary Object Theory has been noticed useful in better understanding and improving the knowledge transfer of actors with different backgrounds and expertise. VR and CVR remain yet little studied as boundary objects. We will address this research gap in this study by aiming to understand how CVR can act as an adaptable boundary object in the building design phase of the facility life cycle. We have made use of a qualitative approach, consisting of a multiple case study approach and semi-structured interviews in Finnish AEC industry companies and organisations. We contribute to academic research by providing a deeper understanding of how CVR functions as a boundary object, which enhances the transfer of knowledge in new ways between various stakeholders in the building design phase.
Download
Paper Nr: 19
Title:

The Role of an Enterprise Social Networking Tool on Organisational Knowledge Dynamics
Authors:

Alizee Lacosta and Catherine Thomas
Abstract: Enterprise social networking (ESN) technologies aim to have a profound impact on knowledge management within companies in making things simpler, more fluid and dynamic for users. Their implementation within organizations raises many questions on their ability to (1) promote knowledge sharing, and (2) create the needed support for knowledge creation. Our study was conducted using Design methodology and carried out within an international company. The company had chosen an ESN tool to develop a dynamic knowledge management system. Three key results have been identified so far. First, the emergence of a virtuous and/or vicious circle of Knowledge Management. Second, well managed gamification can facilitate knowledge diffusion. Third, this type of technology requires a more federative governance, especially at its implementation and initial stages, to build the knowledge management system.
Download
Paper Nr: 34
Title:

Driving the Bus: A Radiology Case Study Utilizing Rich Picture Diagramming and CATWOE to Capture Staff Perceptions and Inform Service Improvement Scenarios
Authors:

Mary Conlon, Owen Molloy and Nora ZolzerBryce
Abstract: Introduction: Demand for computed tomography (CT) services is increasing. This empirical work in a CT setting, examines how qualitative methods were used to identify staff perceptions and opportunities for service improvement. The use of soft systems methodologies (SSM) as an action research tool in radiology is considered. Methods: Hospital Staff were interviewed to create a root definition of the CT service. In a diagramming session, a rich picture (RP) was created and augmented with staff input. Utilizing the RP, a session was facilitated with radiology decision makers to identify a list of culturally desirable and feasible process improvement scenarios. Results: Root definitions were created of the CT service from the perspective of the staff. The RP graphically illustrated the key features of the CT service and represented a shared understanding of the service. A targeted set of culturally feasible and desirable service improvement recommendations were identified. Four directly attributable implemented workflow changes were identified. Conclusion: RP diagramming provided an opportunity to involve staff in research while capturing their perceptions and resulted in a shared understanding as well as targeted opportunities for CT service improvement. The implemented workflow changes resulting from the SSM approach demonstrated its use as an action research tool.
Download
Paper Nr: 36
Title:

SatelliteNER: An Effective Named Entity Recognition Model for the Satellite Domain
Authors:

Omid Jafari, Parth Nagarkar, Bhagwan Thatte and Carl Ingram
Abstract: Named Entity Recognition (NER) is an important task that detects special type of entities in a given text. Existing NER techniques are optimized to find commonly used entities such as person or organization names. They are not specifically designed to find custom entities. In this paper, we present an end-to-end framework, called SatelliteNER, that its objective is to specifically find entities in the Satellite domain. The workflow of our proposed framework can be further generalized to different domains. The design of SatelliteNER includes effective modules for preprocessing, auto-labeling and collection of training data. We present a detailed analysis and show that the performance of SatelliteNER is superior to the state-of-the-art NER techniques for detecting entities in the Satellite domain.
Download
Paper Nr: 43
Title:

Organizational Capabilities in Data-driven Value Creation: A Literature Review
Authors:

Prashanth Madhala, Hongxiu Li and Nina Helander
Abstract: Prior research has shown that organizational capabilities can help enhance competitive advantages. However, organizational capabilities are also required to develop in order to keep up with the dynamic environment or changing business environment. Over the last decade, data has been introduced as a new business resource in organizations, which brings both new opportunities and challenges in data-driven value creation in organizations. There is a need to understand what organizational capabilities are needed in achieving data-driven value creation for organizations. This study conducts an exploratory literature review to understand what organizational capabilities are related to data-driven value creation. Based on the selected 14 articles from the literature between years 2016 and 2020, the literature review shows that analytics capabilities are the most important capabilities in data-driven value creation together with other different capabilities. There is more room for research with regards to organizational capabilities in data-driven value creation, such as to examining what are the components of analytics capabilities and how organizations should combine different organizational capabilities for data-driven value creation.
Download
Paper Nr: 44
Title:

Development of a GQM-based Technique for Assessing DevOps Maturity
Authors:

Thomas Neubrand and Thorsten Haendler
Abstract: DevOps aims to increase an organization’s ability to build, test and release software in a rapid, frequent, and more reliable fashion by combining the perspectives of software development and IT operations. It emphasizes the communication and collaboration among all stakeholders involved in the software development lifecycle by applying a set of technological and cultural practices and principals. Organizations are increasingly adopting DevOps practices in order to capitalize on its benefits. However, DevOps is a paradigm with different interpretations and definitions, making it difficult for organizations to decide what practices and capabilities of DevOps to adopt and to enhance based on their individual business needs. In this paper, we propose a GQM-based approach for assessing the DevOps maturity in organizations. For this purpose, we structure DevOps capabilities in terms of goals and sub-goals that enable DevOps identified in existing research literature. Then, questions and metrics are derived and operated for a questionnaire to assess the DevOps maturity with regard to the different capability levels. The resulting maturity report is finally illustrated via different kinds of radar charts representing the individual levels of the identified goals and sub-goals. A first evaluation with experts indicates that the developed technique seems useful to assess DevOps maturity. With the support of the proposed technique, organizations are able to assess its current practices and measure the improvements over the course of time.
Download
Short Papers
Paper Nr: 7
Title:

A Measurement Model to Identify Knowledge-intensive Business Processes in SMEs
Authors:

Christian Ploder
Abstract: This paper is based on earlier work about the selection of knowledge-intensive business processes in SMEs done by the author with the result of defining 15 different factors in four categories: process, people, task and interdependencies. The developed factor model for describing the knowledge-intensive business process is driven further within the last year to help small and medium sized enterprises to focus on their important business processes if starting with process management initiatives. The developed factor model was enriched with a measurement model that combined scientific and practical input. This paper presents the measurement model that is at least able to divide between knowledge-intensive business processes and not knowledge-intensive business processes in a company. It is essential to invest in the right business processes for improvement if it comes to process management according adopting current challenges for SMEs, which are fulfilling any quality management norm like ISO 9000 series.
Download
Paper Nr: 15
Title:

Connecting the Dots: KM Initiatives and Business Performance
Authors:

Moria Levy and Nurit Linn
Abstract: For over two decades now, knowledge management (KM) has been an academic discipline, extensively taught, learned, and researched. It has been practiced in organizations for a similar period. However, demonstrating long-term improvement in business performance as a result of KM initiatives is not an easy task. KM processes and changes are rarely standalone and usually go hand in hand with other organizational changes. This in itself makes it difficult to demonstrate that said organizational changes originate from KM initiatives, and not from other changes in the organizational environment. This research provides a case study in which shifts in organizational performance as a result of KM initiatives can be examined. This research is significant for KM researchers because it suggests a new research model for further studies. In addition, it provides organizations with an optimistic vision, namely that systematic management of organizational knowledge assets is not merely an idea that sounds good, but can actually be proven to be effective. Connecting the dots between KM and business performance is a known challenge. However, thanks to our research model, it is easier to overcome this challenge. The research method is based on a qualitative and quantitative case study in which foster care activities in Israel underwent KM intervention for a period of eight years. During this period, failures of foster care cases resulting in unsuccessful placement dropped by 32%, with KM being a major factor contributing to this change. The research has several limitations. Although KM was the main variant during the years covered by this research, there is no guarantee that other factors—unnoted by researchers and the people interviewed—did not also affect foster care services, and therefore influence fostering performance. In addition, any case study research based only on one case is limited in its ability to suggest a generalized hypothesis. This research is original and somewhat unique. It is one of very few studies that demonstrate the relationship between KM initiatives and business performance.
Download
Paper Nr: 16
Title:

Cold Start of Enterprise Knowledge Graph Construction
Authors:

Rong Duan and Kangxing Hu
Abstract: Enterprise Knowledge Graphs(EKG) is a powerful tool for Enterprise Knowledge Management(EKM). Most EKG construction suffers cold start problem. In reality, EKG construction is an interactive process,in which domain experts provide a small seed graph, and data driven methods are applied to expand the graph. This paper proposes a framework to solve EKG cold start problem by integrating graph form expert knowledge with non-graph form corpus. The proposed framework employs expert knowledge to guide unsupervised learning, and crosses check the quality of expert knowledge simultaneously. A coarser cluster level and finer entity level vectorization is proposed to predict the link between graph nodes and cluster words. And also, a combined strategy is adopted to measure the importance of the predicted link, and provide to the expert to evaluate incrementally. The proposed framework solves the ”labor intensive” EKG cold start construction problem and utilizes expert knowledge efficiently. Simulation is generated to illustrate the properties of defined measurements, and real-world application is discussed to show the challenges in practices.
Download
Paper Nr: 17
Title:

Development of Framework for Designing an Analytical Data Warehouse: Case of e-Municipalities
Authors:

Kristaps P. Rubulis, Jānis Vempers and Edžus Žeiris
Abstract: Knowledge sharing is an important aspect in a company’s daily life. Transferring practical experience and knowledge (that is required for solution development) among employees is crucial. This improves the development time and quality of software solutions as well as understanding of future projects related to cases with similar concepts and concerns. A framework for designing an analytical data warehouse (FADW) intended for municipalities is proposed. This framework focuses on the usage of patterns that are utilized for knowledge sharing purposes. The paper analyzes a case study and outlines possible solutions to the problems identified. A data warehouse is used to integrate data and to address business data analysis and, with the help of patterns, these solutions are shared among the municipalities.
Download
Paper Nr: 20
Title:

Challenges in Public Participation and Collaboration: A Case Study in Finnish Environmental Decision-making
Authors:

Annamaija Paunu, Jenni Pansio, Nina Helander and Jonna Käpylä
Abstract: This position paper introduces ongoing research efforts that addresses the ability of different kinds of organizations and multiple individuals to cope together with complex environmental planning and policymaking problems in the Finnish context. The research question “What kind of challenges are there in the collaborative processes of environmental decision-making and how can they be tackled?” is approached from the perspectives of the framework of public participation process and the theory of collaborative governance. We use these theories as analytical tools to evaluate how the elements and phases of collaboration processes are conducted in practice and to identify problems that exist in the collaborative processes. This phenomenon is studied through a single case study of environmental planning case from a medium-sized city located in Finland.
Download
Paper Nr: 21
Title:

Digital Transformation and the Impact in Knowledge Management
Authors:

Gabriel Petana and Carlos A. Rosa
Abstract: Nowadays, digital transformation is forcing companies to reach a new level of productivity and digital evolution. Small and autonomous is winning over large and centralized. Digital transformation requires the adoption of more agile business processes and the development of new customer-facing digital services. It means creating scale through reusable services and enabling self-service consumption of those services. Business processes and transactions can be automated with the composition of microservices. We will see that the principle of composability allows microservices to deliver value to the business in different contexts. The paper also explains how a BizDevOps philosophy with references to microservices allows rapid adaptations of requirements to fast-changing needs in businesses, outlining the importance of business process automation for companies to acquire the know-how to implement a just-in-time diachronic dialogue. It presents the alignment of the proposed framework with a digital strategy. Assembling a multidisciplinary team is foreseen as a key factor in developing innovative capabilities to react to new customer demands, enabling the company to stay competitive and continuously address customer expectations, differentiating tacit from explicit knowledge.
Download
Paper Nr: 27
Title:

Knowledge Management in Service Desk Environment: An Overview of Methods, Tools and Techniques
Authors:

Michal Dostál and Jan Skrbek
Abstract: Knowledge management and Service Desk are both important topics for successful companies. Good knowledge management practices in Service Desk can improve the quality of delivered service and therefore improve the competitiveness of the company. Based on the literature research followed by analysis we describe and propose methods, tools, and techniques that are or could be used in the Service Desk environment. The methods, tools, and techniques are described according to the phase of knowledge management and the Service Desk activities. This research paper presents a part of work-in-progress research and represents a good base for follow-up research on this topic.
Download
Paper Nr: 28
Title:

Persuasion Meets AI: Ethical Considerations for the Design of Social Engineering Countermeasures
Authors:

Nicolás D. Ferreyra, Esma Aïmeur, Hicham Hage, Maritta Heisel and Catherine G. van Hoogstraten
Abstract: Privacy in Social Network Sites (SNSs) like Facebook or Instagram is closely related to people’s self-disclosure decisions and their ability to foresee the consequences of sharing personal information with large and diverse audiences. Nonetheless, online privacy decisions are often based on spurious risk judgements that make people liable to reveal sensitive data to untrusted recipients and become victims of social engineering attacks. Artificial Intelligence (AI) in combination with persuasive mechanisms like nudging is a promising approach for promoting preventative privacy behaviour among the users of SNSs. Nevertheless, combining behavioural interventions with high levels of personalization can be a potential threat to people’s agency and autonomy even when applied to the design of social engineering countermeasures. This paper elaborates on the ethical challenges that nudging mechanisms can introduce to the development of AI-based countermeasures, particularly to those addressing unsafe self-disclosure practices in SNSs. Overall, it endorses the elaboration of personalized risk awareness solutions as i) an ethical approach to counteract social engineering, and ii) as an effective means for promoting reflective privacy decisions.
Download
Paper Nr: 30
Title:

Industry-oriented Digital Transformation in Universities to Facilitate Knowledge Transfer
Authors:

Claudia Doering and Holger Timinger
Abstract: The industry faces nowadays major challenges in creating new and innovative business models. Especially small and medium-sized enterprises (SMEs) lack own research departments and qualified personnel for new technologies and business models. Simultaneously, SMEs are often unsure, if their needs are understood and addressed by universities and hesitate to contact them. Actually, many universities do have very relevant technologies for such companies and strive for an increase in joint research and transfer activities. However, universities must change and simplify their inner structures in order to accomplish a structural embodiment of transfer and become more customer-oriented and quicker.
Download
Paper Nr: 32
Title:

Modeling Sport Events Legacy based on Olympic Games
Authors:

Malika Grim-Yefsah, Badamassi Jadi, Petiet Thibault and Vignais Arthur
Abstract: This article presents a conceptual model of sport events legacy based on the Olympic and Paralympic Games as a reference. The legacy of mega sport events has gained ever more importance during recent years for both academics and practitioners. The International Olympic Committee looked at the concept of legacy, as it is the best argument with which to illustrate the lasting benefits that are derived from the Olympic Games. The Legacy is the way to structure the capitalization of the benefits and lessons related to the organization of major sporting events. So, our motivation is to develop a tool of the sport events legacy. The aims of the article are first, to investigate the legacy sport events literature, second, to propose a Legacy Conceptual Model (LCM) and to transpose it to a database which will be support to analyse the changes related to legacy. This research target also has a practical implication. So, we investigate how the LCM helps to analyze the legacy left by a sport event using a case study.
Download
Paper Nr: 35
Title:

Next Step: Data Literacy Measurement
Authors:

Marketa Smolnikova
Abstract: As data became a new business commodity, affecting our everyday lives from shopping to voting, it smoothed the way for data literacy as a tool for full participation in a modern society. This paper argues for data literacy development and accelerated research of its measurement which has been lagging behind countless studies on teaching data skills. Data literacy is in this paper approached as an ability to understand and use data and differentiates itself from information or statistical literacy. As a prerequisite of information literacy, data literacy is inevitable part of knowledge development. While the term of data literacy has been well established and used for developing best practices and methodologies to teach data skills, measurement of data literacy seems to be still in its infancy. As a result, this paper includes research plan for developing a data literacy indicator based on quantitative methods.
Download
Paper Nr: 40
Title:

The Ray Tracing based Tool for Generation Artificial Images and Neural Network Training
Authors:

Alexey Kolker, Sofia Oshchepkova, Zhanna Pershina, Lubomir Dimitrov, Vladislav Ivanov, Aquib Rashid and Mohamad Bdiwi
Abstract: Creating quality-annotated dataset is one of the main tasks in the field of deep learning technologies for pattern recognition. However, in the real world, collecting a sufficient number of detailed images of an object is difficult and time-consuming. The article considers an approach to creating synthetic datasets based on the ray tracing method. This paper also presents the results of success tests of real object image segmentation by convolutional neural networks, trained entirely on synthetic data and data of different nature.
Download
Paper Nr: 45
Title:

On the Road to Hospital Digital Transformation: Using Conceptual Modeling to Express Domain Ontology
Authors:

Avi Shaked
Abstract: During the COVID-19 pandemic, Israel Aerospace Industries engaged with hospitals with the goal of promoting their effective operation by means of digital transformation, and particularly by designing an information system in support of the hospital operational processes. In this short paper we report our use of conceptual modeling to capture and communicate the organizational and operational ontology of the problem domain, based on a requirements specification for the system. We discuss how the derived ontology relates to metamodeling, and discuss some practical and theoretical implications of using metamodeling to document ontology.
Download
Paper Nr: 46
Title:

Improve Performance of Recommender System in Collaborative Learning Environment based on Learner Tracks
Authors:

Qing Tang, Marie-Hélène Abel and Elsa Negre
Abstract: Learning with huge amount of open educational resources is challenging, especially when variety resources come from different System of Information Systems (SoIS). How to help learners obtain appropriate resources efficiently in collaborative learning environment is still a rigorous problem of research. This paper proposes a method to calculate learner’s knowledge competency by tracking and analyzing their behaviors in a collaborative learning environment based on SoIS, and combining other basic learner’s information to build a personalized recommender system to help learners select appropriate educational resources to improve their learning efficiency.
Download
Paper Nr: 14
Title:

Evaluation of Cities’ Smartness through Multidimensional Platform of Performance Indicators
Authors:

Dessislava Petrova-Antonova and Martin Minkov
Abstract: A lot of cities are working on their digital transformation in order to deliver better living environment for their citizens. There are many research efforts focused on measuring the performance of such transformation through specific methodologies and indicators covering variety city dimensions. The complexity of cities as well as the heterogeneity of data that they produced bring challenges to development of platforms for multidimensional evaluation and smart level assessment of a city. In order to address such challenges, this paper proposes a conceptual data model and an architecture of a plat-form for performance assessment of smart cities. For assessment of economic performance, 4 indicators are considered to be implemented and are presented in the paper: Gross Domestic Product, New Business Registered, Median Disposable Income and Human Development Index. The proposed platform is designed to be integrated – continuously supplied with city data, scalable – open-ended for implementation of new indicators, multidimensional – designed to cover all city dimensions and agile – evolve in step with the changing requirements.
Download
Paper Nr: 26
Title:

Value of Collaboration: The Opportunities and Limits of Shared Value Creation in the Collaborative Practices of Mining
Authors:

Jonna Käpylä
Abstract: This study examines the value of collaboration in the branch of mining and asks what kind of value can be expected from the collaborative practices of mining, and what are the opportunities and limitations of shared value creation. The research was conducted as an interview study (n=17) in the Finnish municipality of Sodankylä that has been a forerunner in Finland in developing collaborative practices with the mining industry. The study constructs a value typology, which illustrates the expected value of the collaborative practices in mining, and a framework to evaluate the value of collaboration. The results show that the value of collaboration consists of different dimensions, and that the value may be process, outputs and outcomes related, or relate to the productivity of value creation. In addition, the results reveal that there are two different perceptions of the potential value of collaboration: win-win and trade-off. In conclusion, it appears that the collaboration process itself can create value for all, but the collaboration cannot meet everyone’s value expectations related to outputs and outcomes. Therefore, there are opportunities for shared value creation in the collaborative practices of mining, but it is not possible meet everyone's value expectations.
Download
Paper Nr: 33
Title:

Digitalization: A Concept Easier to Talk about than to Understand
Authors:

Pasi Hellsten and Annamaija Paunu
Abstract: Many organizations have come to rely on digitalization to solve many issues. Today knowledge is an equal production factor besides the traditional ones; capital, natural resources, and work. Thus, there is an ever-growing need for getting the information in, sorted, and used. Digitalization is widely used phrase with many definitions, quite often case-specifically. We show that the existing definitions are not very precise and through two studies investigating executed digitalization initiatives we point out that the reality does not always respect earlier findings. Through the comparison we present questions to be answered in later research. However, business environments and technologies are often unique and thus not all recent issues are taken into consideration. We take business intelligence (BI) as a framework to draw a picture of organizational processes and to give context for the features to be taken into account when discussing digitalization, ie. technological side and the human oriented aspects.
Download
Paper Nr: 37
Title:

Unified Quality Training Process
Authors:

Hind Dahar and Ounsa Roudies
Abstract: The development of quality in the global market has made standards and repository indispensable tools. Each standard has its own strengths and covers specific perimeters in the company, which necessitates the co-deployment of several standards simultaneously. However, the diversity of standards can lead to different problems such as heterogeneity and redundancy, which results in increased implementation costs in terms of time, resource mobilization and budget. We propose a quality approach called“Unified Quality” to address these problems. This paper describes the configuration process that creates The common repository, that encompasses all requirements of the co-deployed standards without redundancy and ambiguity. It is an iterative and MDE based process. Finally, the training process is illustrated by its application to both ISO 9001 and CMMI standards.
Download
Paper Nr: 38
Title:

Computer Integrated Manufacturing Architecture: A Literature Review
Authors:

Abdelkarim Remli, Amal Khtira and Bouchra El Asri
Abstract: The exponential technological revolution has had a positive impact on industrial companies, providing them with plenty of opportunities to improve their production flows and optimize their costs. This revolution has led to contemporary computer integrated manufacturing (CIM) that consists of linking the shop floor systems to the high business layer. And in order to do that, there has been some research to define a reference architecture to cover all the use cases. This paper presents a literature review of CIM architectures. The purpose of this review is to enumerate the different aspects covered by the different architectures in the literature and the approaches proposed to handle them.
Download