The Experts below are selected from a list of 12 Experts worldwide ranked by ideXlab platform
R. Liron - One of the best experts on this subject based on the ideXlab platform.
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The Missing “Turn to Practice” in the Digital Transformation of Industry
Computer Supported Cooperative Work (CSCW), 2019Co-Authors: Myriam Lewkowicz, R. LironAbstract:This paper reports on a “Industry 4.0” project supported by the government through the French public investment bank. This project was launched by a major Industrial Actor in the gas domain and aims at equipping its fActories with digital technologies, and at connecting all these fActories through a centralized supervision center, named Operational and Optimization Remote Center (OORC). Based on our observation in production sites and the OORC, we present the new organization of work that takes place in this context, and the digital artifact that was introduced to support it. We analyze its use and identify some failures related to the gap between its features and the existing documentation practice in the fActories. We then claim that industry has to “turn to practice” to accomplish its digital transformation. This paper contributes to what we foresee as a research agenda for CSCW researchers wishing to contribute to the fourth Industrial revolution and the related digital transformation of work in Industrial settings.
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Centralized Optimisation Still Cannot Avoid Coordinative Artifacts and Their Pitfalls
2018Co-Authors: R. Liron, Myriam LewkowiczAbstract:This position paper reports on a “Industry 4.0” project supported by the government through a public investment bank in France. This project was launched by a major Industrial Actor in the gas domain and aims at equipping its fActories with digital technologies, and at connecting all these fActories (of the future) through a centralized supervision center, named Operational and Optimization Remote Center (OORC). Based on our observation in 6 plants and the OORC, we present the necessary interaction that still needs to take place, and how it is materially supported. We focus on a digital technology that was introduced to be the only interaction support, and that failed to do so. We analyze this failure using the Boundary Negotiating Artefact framework (Lee, 2007).
Myriam Lewkowicz - One of the best experts on this subject based on the ideXlab platform.
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The Missing “Turn to Practice” in the Digital Transformation of Industry
Computer Supported Cooperative Work (CSCW), 2019Co-Authors: Myriam Lewkowicz, R. LironAbstract:This paper reports on a “Industry 4.0” project supported by the government through the French public investment bank. This project was launched by a major Industrial Actor in the gas domain and aims at equipping its fActories with digital technologies, and at connecting all these fActories through a centralized supervision center, named Operational and Optimization Remote Center (OORC). Based on our observation in production sites and the OORC, we present the new organization of work that takes place in this context, and the digital artifact that was introduced to support it. We analyze its use and identify some failures related to the gap between its features and the existing documentation practice in the fActories. We then claim that industry has to “turn to practice” to accomplish its digital transformation. This paper contributes to what we foresee as a research agenda for CSCW researchers wishing to contribute to the fourth Industrial revolution and the related digital transformation of work in Industrial settings.
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Centralized Optimisation Still Cannot Avoid Coordinative Artifacts and Their Pitfalls
2018Co-Authors: R. Liron, Myriam LewkowiczAbstract:This position paper reports on a “Industry 4.0” project supported by the government through a public investment bank in France. This project was launched by a major Industrial Actor in the gas domain and aims at equipping its fActories with digital technologies, and at connecting all these fActories (of the future) through a centralized supervision center, named Operational and Optimization Remote Center (OORC). Based on our observation in 6 plants and the OORC, we present the necessary interaction that still needs to take place, and how it is materially supported. We focus on a digital technology that was introduced to be the only interaction support, and that failed to do so. We analyze this failure using the Boundary Negotiating Artefact framework (Lee, 2007).
Christophe Nicolle - One of the best experts on this subject based on the ideXlab platform.
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Ontology-based Integration of Web Navigation for Dynamic User Profiling
Informatica Economică, 2015Co-Authors: Anett Hoppe, Ana Roxin, Christophe NicolleAbstract:The development of technology for handling information on a Big Data-scale is a buzzing topic of current research. Indeed, improved techniques for knowledge discovery are crucial for scientific and economic exploitation of large-scale raw data. In research collaboration with an Industrial Actor, we explore the applicability of ontology-based knowledge extraction and representation for today's biggest source of large-scale data, the Web. The goal is to develop a profiling application, based on the implicit information that every user leaves while navigating the online, with the goal to identify and model preferences and interests in a detailed user profile. This includes the identification of current tendencies as well as the prediction of possible future interests, as far as they are deducible from the collected browsing information, and integrated expert domain knowledge. The article at hand gives an overview on the current state of the re-search, the developments made and insights gained.
Birger Löfgren - One of the best experts on this subject based on the ideXlab platform.
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Capturing the life cycle environmental performance of a company’s manufacturing system
2009Co-Authors: Birger LöfgrenAbstract:This research has developed methods for manufacturing decision makers to measure manufacturing environmental performance and to predict the environmental consequences of alternative manufacturing system configurations. The ideas behind the methods are based on life-cycle thinking from the perspective of an Industrial Actor, and its decision makers, in the value chain of a product. The ideas are to (1) focus on the parts of the product life cycle that manufacturing decision makers can influence, (2) relate environmental consequences to changes in a manufacturing system, and (3) use a model in which discrete-event simulation (DES) is used to capture the dynamic features of a manufacturing system and life-cycle assessment (LCA) is used to quantify the life cycle environmental consequences. The aim has been to enable manufacturing decision makers to understand the environmental consequences of their actions. To do this, the ideas were further developed using a case study of a bearing unit production line. From the experience gained in that case study and from the knowledge foundation in previous published work we have developed three main methods. The first is a method to relate environmental consequences to a manufacturing Actor when performing a life-cycle assessment (LCA), this to increase the relevance of results and the probability to find ways to improve the system. The second method suggests how system boundaries in an LCA can be drawn to specifically measure the environmental performance of an Industrial Actor’s manufacturing system. This is done by only considering this manufacturing system’s material losses and energy use when calculating its environmental impact. Finally, to capture the dynamic characteristics of a manufacturing system and enable what-if scenarios for changed production configuration, four methodological sub-proposals are suggested to create a DES-LCA model.
Anett Hoppe - One of the best experts on this subject based on the ideXlab platform.
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Ontology-based Integration of Web Navigation for Dynamic User Profiling
Informatica Economică, 2015Co-Authors: Anett Hoppe, Ana Roxin, Christophe NicolleAbstract:The development of technology for handling information on a Big Data-scale is a buzzing topic of current research. Indeed, improved techniques for knowledge discovery are crucial for scientific and economic exploitation of large-scale raw data. In research collaboration with an Industrial Actor, we explore the applicability of ontology-based knowledge extraction and representation for today's biggest source of large-scale data, the Web. The goal is to develop a profiling application, based on the implicit information that every user leaves while navigating the online, with the goal to identify and model preferences and interests in a detailed user profile. This includes the identification of current tendencies as well as the prediction of possible future interests, as far as they are deducible from the collected browsing information, and integrated expert domain knowledge. The article at hand gives an overview on the current state of the re-search, the developments made and insights gained.