4 e Conférence Francophone de Modélisation et SIMulation « Organisation et Conduite d'Activit... more 4 e Conférence Francophone de Modélisation et SIMulation « Organisation et Conduite d'Activités dans l'Industrie et les services » MOSIM'03-du 23 au 25 avril 2003-Toulouse (France) RESUME : Le contexte industriel, caractérisé par une concurrence mondialisée, voit se multiplier l'émergence de regroupements, conglomérats ou partenariats entre des industries de type bien distincts afin d'apporter une réponse globale aux exigences du marché. Les entreprises sont conduites à inter-relier leurs processus de production, d'information, de décision, pour mettre en oeuvre des réseaux de processus inter-organisationnels. Dans cette communication, nous proposons de développer une approche intégrée de la modélisation et de la simulation de processus inter-organisationnels, c'est à dire de processus qui visent à intégrer des entreprises intervenant dans des branches industrielles distinctes (chacune caractérisée par des spécificités propres au domaine). Cette approche est basée sur la méta-modélisation. En nous référant à une comparaison des concepts de modélisation et des principes de simulation dans les secteurs du service, de l'industrie manufacturière, et de la logistique, nous développons un méta-modèle intégré destiné aux processus inter-organisationnels. L'approche est implémentée sous la forme d'une maquette intégrant des environnements logiciels de modélisation standards, initialement dédiés à des domaines distincts.
ABSTRACT Semiconductor production cycle is a combination of production and quality inspection ste... more ABSTRACT Semiconductor production cycle is a combination of production and quality inspection steps. The collected data at these steps lead to huge amounts of data stored in heterogeneous databases. To identify yield loss' causes for a product X, we propose a three step approach that gives as a result a set of relational patterns, corresponding to potential yield loss' causes. These patterns are generated by data mining algorithms, as associations among descriptive clusters which characterize each of the useful databases considered. First, the context identification: Using the engineering knowledge, we specify a set of the most critical production steps for the product X wafers. Let Mi be one of these sets, a succession of production Pi and quality inspection Qi steps. Second, the data analysis divided in two steps: First: cluster identification. From the dataset dataPi, corresponding to the equipment data collected at a specific process step, we identify clusters corresponding to different operation m
ABSTRACT In modern manufacturing systems, Information Technologies (IT) are closely linked to pro... more ABSTRACT In modern manufacturing systems, Information Technologies (IT) are closely linked to production operational functioning. To be a reliable service provider, IT Departments must ensure an adequately sized IT infrastructure, to support present and future industrial activity. As such, quantitative tools are useful for IT managers to anticipate future use of IT resources, on the basis of production-related explanatory variables. This paper proposes a modelling process to build such a tool. This modelling process is organized through two main sequences, exploratory and explanatory, and mixes qualitative and quantitative analyses. Taking advantage of the masses of data stored in modern manufacturing systems, it allows a progressive understanding of the relationships between the different domains of the IT architecture. To illustrate the application of the modelling process, this endeavour was conducted in a partnership with STMicroelectronics, to base the research upon and provide a case study. The latter establ
Industry servitisation, i.e. the manufacturing industry transition towards the integration of ser... more Industry servitisation, i.e. the manufacturing industry transition towards the integration of services, provides for strong opportunities of new business model development and implementation. However, managing the industrial transformation to such business models means decision-makers are confronted with high decisional complexity. Such dramatic changes affect most enterprise performance drivers, and the interactions of the multiple business and industrial factors influencing the overall company performance make it very difficult for managers to specify consistent and efficient industrial configurations for their business processes. This context explains a concrete need for developing servitisation-dedicated decision support systems (DSS). The objective of the decision aid developed in this paper is to provide operational support which integrates the specific business and industrial features of so-called ‘product–service systems’ in order to study the interactions of different types of performance factors, notably market-oriented versus industrial-oriented factors. These developments are applied to a French Small and Medium Enterprise (SME). The key added values of the paper are (1) to specify a modelling and simulation approach associated to a generic simulator adaptable to various industrial contexts, then (2) to illustrate the concrete decision support provided in a case study of an SME in the business of remanufacturing electrical equipment. The case study highlights capacity management issues in a servitisation context.
Robotics and Computer-integrated Manufacturing, Jun 1, 2005
... We consider that cooperation can be defined as an intentionally collective action carried out... more ... We consider that cooperation can be defined as an intentionally collective action carried out by ... we decided to use the business concept instead of the virtual organization concept ... long-term cooperation within a set of organizations that combine their competencies and resources ...
HAL (Le Centre pour la Communication Scientifique Directe), Sep 1, 2012
ABSTRACT Architectures are critical to improve organization efficiency (Weill & Ross, 200... more ABSTRACT Architectures are critical to improve organization efficiency (Weill & Ross, 2004). Consequently, IT managers must basically anticipate to provide without interruption enough IT capacity to enable business' operation plans and forecasts, in order to ensure the functioning continuity of manufacturing systems (Kloesterboer, 2011). Nowadays, IT architectures are composed of multiple connected and interdependent components. As a consequence, IT systems give raise to emergent phenomena, which often cannot be anticipated by only considering individual components (Mitleton-Kelly, 2011). To cope with such complexity, IT executives more and more rely on data analysis to manage the capacity of information systems (Gunther, 2007; Allspaw, 2008). IT management best practices, like ITIL framework, recommend setting up information systems, dedicated to facilitate the access to all historical data necessary to manage capacity (Lloyd & Rudd, 2007). Operationalizing such a data-driven IT capacity approach is often difficu
HAL (Le Centre pour la Communication Scientifique Directe), Sep 1, 2011
ABSTRACT This research is carried out within a semiconductor production plant of the firm STMicro... more ABSTRACT This research is carried out within a semiconductor production plant of the firm STMicroelectronics. The company's Department of Information Technology (IT) is collecting huge databases of information about the information systems (IS), to store performance and activities variables, called metrics. However, their exploitation is under-optimized, because their systematic analysis is not the priority of IT professionals. In this context, we are willing to develop statistical tools, helping IT professionals (i.e. understandable by non-statisticians) to take advantage of this amount of information. We are particularly interested in two activities of the ITIL (Information Technology Infrastructure Library) Capacity Management process: IS monitoring and IS modelling. As the starting point, STMicroelectronics IT Department was manually monitoring a selected set of performance and activities metrics. This was time-consuming and inefficient: only a little part of the IS was under control and many exceptional IS ac
L'ingenierie concourante (ic. ) est une demarche organisationnelle qui tente d'apporter u... more L'ingenierie concourante (ic. ) est une demarche organisationnelle qui tente d'apporter une reponse aux exigences industrielles en matiere de maitrise de la qualite, des delais, des couts. Nous developpons dans ce memoire une reflexion methodologique qui vise a aider les entreprises dans la mise en uvre de l'ingenierie concourante. Nous montrons que pour appliquer l'ic. Dans une organisation, il est necessaire de gerer sur le long terme les differents metiers participant aux processus de developpement de produits. Nous proposons un cadre conceptuel qui permet de traiter avec rigueur cette question. Il repose sur un concept organisationnel, la filiere-metier, et sur une demarche organisationnelle, la dynamique-metier. Ce cadre conceptuel met l'accent d'une part sur la gestion des competences collectives et individuelles, et d'autre part sur la gestion des interactions entre les activites impliquees dans les processus de developpement de produits. Pour rendre possible la dynamique-metier, il est necessaire de la doter de certains outils, et deux d'entre-eux sont developpes dans la these. Nous elaborons un referentiel des savoirs partages au sein d'une filiere-metier, en vue de fournir une aide a la gestion des savoirs collectifs. Puis, nous proposons une modelisation qualitative des reseaux d'activites caracterisant les filieres-metiers, destinee a servir de support a une demarche d'amelioration interne. Enfin, nous appliquons notre approche a un cas d'etude industriel, qui montre que nos propositions permettent d'ameliorer l'organisation interne d'une filiere-metier.
ABSTRACT Dans cet article, nous proposons une approche de recherche et de traitement de l&#39... more ABSTRACT Dans cet article, nous proposons une approche de recherche et de traitement de l'information pour la constitution des réseaux coopératifs d'entreprises à partir de leur site web. Cette approche est basée sur une procédure automatique d'extraction d'information pour la génération des nouvelles connaissances. Ces connaissances sont les raisons qui peuvent et/ou qui doivent amener les entreprises à envisager des coopérations entre elles. Dans cet objectif, connaitre en temps réel et avec précision le secteur d'activité de l'entreprise est indispensable. L'approche abordée dans cet article repose sur des outils et des méthodes de recherche d'information, à savoir, l'indexation contrôlée et le matching. La bonne connaissance de cette activité permet de faire émerger des réseaux coopératifs d'entreprises de divers types.
Abstract Digital technologies are encouraging manufacturing companies in their servitization proc... more Abstract Digital technologies are encouraging manufacturing companies in their servitization process by accelerating the offer of integrated product and service to create new value and grow relationships with customers in the Industry 4.0 era. In parallel, digitalization and servitization research streams are merging and paving the way for the Smart Product-Service System (Smart PSS). By analyzing the concept of Smart PSS, this paper questions the convergence between digital and service orientations and considers how digital technologies are used to enable decisions along the PSS lifecycle and/or at different planning levels. Applying topic modeling, a semi-systematic literature review on the combination of digital technologies with PSS has highlighted five main research streams: PSS design, digital servitization, assessing tool for PSS decisions, knowledge management along the lifecycle, sustainability business models. The development over time of these research streams has been tracked leading to the definition of a new research agenda on Smart PSS.
4 e Conférence Francophone de Modélisation et SIMulation « Organisation et Conduite d'Activit... more 4 e Conférence Francophone de Modélisation et SIMulation « Organisation et Conduite d'Activités dans l'Industrie et les services » MOSIM'03-du 23 au 25 avril 2003-Toulouse (France) RESUME : Le contexte industriel, caractérisé par une concurrence mondialisée, voit se multiplier l'émergence de regroupements, conglomérats ou partenariats entre des industries de type bien distincts afin d'apporter une réponse globale aux exigences du marché. Les entreprises sont conduites à inter-relier leurs processus de production, d'information, de décision, pour mettre en oeuvre des réseaux de processus inter-organisationnels. Dans cette communication, nous proposons de développer une approche intégrée de la modélisation et de la simulation de processus inter-organisationnels, c'est à dire de processus qui visent à intégrer des entreprises intervenant dans des branches industrielles distinctes (chacune caractérisée par des spécificités propres au domaine). Cette approche est basée sur la méta-modélisation. En nous référant à une comparaison des concepts de modélisation et des principes de simulation dans les secteurs du service, de l'industrie manufacturière, et de la logistique, nous développons un méta-modèle intégré destiné aux processus inter-organisationnels. L'approche est implémentée sous la forme d'une maquette intégrant des environnements logiciels de modélisation standards, initialement dédiés à des domaines distincts.
ABSTRACT Semiconductor production cycle is a combination of production and quality inspection ste... more ABSTRACT Semiconductor production cycle is a combination of production and quality inspection steps. The collected data at these steps lead to huge amounts of data stored in heterogeneous databases. To identify yield loss' causes for a product X, we propose a three step approach that gives as a result a set of relational patterns, corresponding to potential yield loss' causes. These patterns are generated by data mining algorithms, as associations among descriptive clusters which characterize each of the useful databases considered. First, the context identification: Using the engineering knowledge, we specify a set of the most critical production steps for the product X wafers. Let Mi be one of these sets, a succession of production Pi and quality inspection Qi steps. Second, the data analysis divided in two steps: First: cluster identification. From the dataset dataPi, corresponding to the equipment data collected at a specific process step, we identify clusters corresponding to different operation m
ABSTRACT In modern manufacturing systems, Information Technologies (IT) are closely linked to pro... more ABSTRACT In modern manufacturing systems, Information Technologies (IT) are closely linked to production operational functioning. To be a reliable service provider, IT Departments must ensure an adequately sized IT infrastructure, to support present and future industrial activity. As such, quantitative tools are useful for IT managers to anticipate future use of IT resources, on the basis of production-related explanatory variables. This paper proposes a modelling process to build such a tool. This modelling process is organized through two main sequences, exploratory and explanatory, and mixes qualitative and quantitative analyses. Taking advantage of the masses of data stored in modern manufacturing systems, it allows a progressive understanding of the relationships between the different domains of the IT architecture. To illustrate the application of the modelling process, this endeavour was conducted in a partnership with STMicroelectronics, to base the research upon and provide a case study. The latter establ
Industry servitisation, i.e. the manufacturing industry transition towards the integration of ser... more Industry servitisation, i.e. the manufacturing industry transition towards the integration of services, provides for strong opportunities of new business model development and implementation. However, managing the industrial transformation to such business models means decision-makers are confronted with high decisional complexity. Such dramatic changes affect most enterprise performance drivers, and the interactions of the multiple business and industrial factors influencing the overall company performance make it very difficult for managers to specify consistent and efficient industrial configurations for their business processes. This context explains a concrete need for developing servitisation-dedicated decision support systems (DSS). The objective of the decision aid developed in this paper is to provide operational support which integrates the specific business and industrial features of so-called ‘product–service systems’ in order to study the interactions of different types of performance factors, notably market-oriented versus industrial-oriented factors. These developments are applied to a French Small and Medium Enterprise (SME). The key added values of the paper are (1) to specify a modelling and simulation approach associated to a generic simulator adaptable to various industrial contexts, then (2) to illustrate the concrete decision support provided in a case study of an SME in the business of remanufacturing electrical equipment. The case study highlights capacity management issues in a servitisation context.
Robotics and Computer-integrated Manufacturing, Jun 1, 2005
... We consider that cooperation can be defined as an intentionally collective action carried out... more ... We consider that cooperation can be defined as an intentionally collective action carried out by ... we decided to use the business concept instead of the virtual organization concept ... long-term cooperation within a set of organizations that combine their competencies and resources ...
HAL (Le Centre pour la Communication Scientifique Directe), Sep 1, 2012
ABSTRACT Architectures are critical to improve organization efficiency (Weill & Ross, 200... more ABSTRACT Architectures are critical to improve organization efficiency (Weill & Ross, 2004). Consequently, IT managers must basically anticipate to provide without interruption enough IT capacity to enable business' operation plans and forecasts, in order to ensure the functioning continuity of manufacturing systems (Kloesterboer, 2011). Nowadays, IT architectures are composed of multiple connected and interdependent components. As a consequence, IT systems give raise to emergent phenomena, which often cannot be anticipated by only considering individual components (Mitleton-Kelly, 2011). To cope with such complexity, IT executives more and more rely on data analysis to manage the capacity of information systems (Gunther, 2007; Allspaw, 2008). IT management best practices, like ITIL framework, recommend setting up information systems, dedicated to facilitate the access to all historical data necessary to manage capacity (Lloyd & Rudd, 2007). Operationalizing such a data-driven IT capacity approach is often difficu
HAL (Le Centre pour la Communication Scientifique Directe), Sep 1, 2011
ABSTRACT This research is carried out within a semiconductor production plant of the firm STMicro... more ABSTRACT This research is carried out within a semiconductor production plant of the firm STMicroelectronics. The company's Department of Information Technology (IT) is collecting huge databases of information about the information systems (IS), to store performance and activities variables, called metrics. However, their exploitation is under-optimized, because their systematic analysis is not the priority of IT professionals. In this context, we are willing to develop statistical tools, helping IT professionals (i.e. understandable by non-statisticians) to take advantage of this amount of information. We are particularly interested in two activities of the ITIL (Information Technology Infrastructure Library) Capacity Management process: IS monitoring and IS modelling. As the starting point, STMicroelectronics IT Department was manually monitoring a selected set of performance and activities metrics. This was time-consuming and inefficient: only a little part of the IS was under control and many exceptional IS ac
L'ingenierie concourante (ic. ) est une demarche organisationnelle qui tente d'apporter u... more L'ingenierie concourante (ic. ) est une demarche organisationnelle qui tente d'apporter une reponse aux exigences industrielles en matiere de maitrise de la qualite, des delais, des couts. Nous developpons dans ce memoire une reflexion methodologique qui vise a aider les entreprises dans la mise en uvre de l'ingenierie concourante. Nous montrons que pour appliquer l'ic. Dans une organisation, il est necessaire de gerer sur le long terme les differents metiers participant aux processus de developpement de produits. Nous proposons un cadre conceptuel qui permet de traiter avec rigueur cette question. Il repose sur un concept organisationnel, la filiere-metier, et sur une demarche organisationnelle, la dynamique-metier. Ce cadre conceptuel met l'accent d'une part sur la gestion des competences collectives et individuelles, et d'autre part sur la gestion des interactions entre les activites impliquees dans les processus de developpement de produits. Pour rendre possible la dynamique-metier, il est necessaire de la doter de certains outils, et deux d'entre-eux sont developpes dans la these. Nous elaborons un referentiel des savoirs partages au sein d'une filiere-metier, en vue de fournir une aide a la gestion des savoirs collectifs. Puis, nous proposons une modelisation qualitative des reseaux d'activites caracterisant les filieres-metiers, destinee a servir de support a une demarche d'amelioration interne. Enfin, nous appliquons notre approche a un cas d'etude industriel, qui montre que nos propositions permettent d'ameliorer l'organisation interne d'une filiere-metier.
ABSTRACT Dans cet article, nous proposons une approche de recherche et de traitement de l&#39... more ABSTRACT Dans cet article, nous proposons une approche de recherche et de traitement de l'information pour la constitution des réseaux coopératifs d'entreprises à partir de leur site web. Cette approche est basée sur une procédure automatique d'extraction d'information pour la génération des nouvelles connaissances. Ces connaissances sont les raisons qui peuvent et/ou qui doivent amener les entreprises à envisager des coopérations entre elles. Dans cet objectif, connaitre en temps réel et avec précision le secteur d'activité de l'entreprise est indispensable. L'approche abordée dans cet article repose sur des outils et des méthodes de recherche d'information, à savoir, l'indexation contrôlée et le matching. La bonne connaissance de cette activité permet de faire émerger des réseaux coopératifs d'entreprises de divers types.
Abstract Digital technologies are encouraging manufacturing companies in their servitization proc... more Abstract Digital technologies are encouraging manufacturing companies in their servitization process by accelerating the offer of integrated product and service to create new value and grow relationships with customers in the Industry 4.0 era. In parallel, digitalization and servitization research streams are merging and paving the way for the Smart Product-Service System (Smart PSS). By analyzing the concept of Smart PSS, this paper questions the convergence between digital and service orientations and considers how digital technologies are used to enable decisions along the PSS lifecycle and/or at different planning levels. Applying topic modeling, a semi-systematic literature review on the combination of digital technologies with PSS has highlighted five main research streams: PSS design, digital servitization, assessing tool for PSS decisions, knowledge management along the lifecycle, sustainability business models. The development over time of these research streams has been tracked leading to the definition of a new research agenda on Smart PSS.
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