https://sam.ensam.eu:443 The DSpace digital repository system captures, stores, indexes, preserves, and distributes digital research material. Sat, 11 Jul 2026 03:13:42 GMT 2026-07-11T03:13:42Z http://hdl.handle.net/10985/9953 Decision-making in the manufacturing environment using a value-risk graph SHAH, Liaqat Ali; VERNADAT, François; SIADAT, Ali; ETIENNE, Alain A value-risk based decision-making tool is proposed for performance assessment of manufacturing scenarios. For this purpose, values (i.e. qualitative objective statements) and concerns (i.e. qualitative risk statements) of stakeholders in any given manufacturing scenario are first identified and are made explicit via objective and risk modeling. Next, performance and risk measures are derived from the corresponding objective and risk models to evaluate the scenario under study. After that, upper and lower bounds, and target value is defined for each measure in order to determine goals and constraints for the given scenario. Because of the multidimensionality nature of performance, the identified objectives and risks, and so, their corresponding measures are usually numerous and heterogeneous in nature. These measures are therefore consolidated to obtain a global performance indicator of value and global indicator of risk while keeping in views the inter-criteria influences. Finally, the global indicators are employed to develop minimum acceptable value and maximum acceptable risk for the scenario under study and plotted on the VR-Graph to demarcate zones of “highly desirable”, “feasible”, “and risky” as well as the “unacceptable” one. The global scores of the indicators: (value-risk) pair of the actual scenario is then plotted on the defined VR-Graph to facilitate decision-making by rendering the scenarios’ performance more visible and clearer. The proposed decision-making tool is illustrated with an example from manufacturing setup in the process context but it can be extended to product or systems evaluation. Wed, 01 Jan 2014 00:00:00 GMT http://hdl.handle.net/10985/9953 2014-01-01T00:00:00Z SHAH, Liaqat Ali VERNADAT, François SIADAT, Ali ETIENNE, Alain A value-risk based decision-making tool is proposed for performance assessment of manufacturing scenarios. For this purpose, values (i.e. qualitative objective statements) and concerns (i.e. qualitative risk statements) of stakeholders in any given manufacturing scenario are first identified and are made explicit via objective and risk modeling. Next, performance and risk measures are derived from the corresponding objective and risk models to evaluate the scenario under study. After that, upper and lower bounds, and target value is defined for each measure in order to determine goals and constraints for the given scenario. Because of the multidimensionality nature of performance, the identified objectives and risks, and so, their corresponding measures are usually numerous and heterogeneous in nature. These measures are therefore consolidated to obtain a global performance indicator of value and global indicator of risk while keeping in views the inter-criteria influences. Finally, the global indicators are employed to develop minimum acceptable value and maximum acceptable risk for the scenario under study and plotted on the VR-Graph to demarcate zones of “highly desirable”, “feasible”, “and risky” as well as the “unacceptable” one. The global scores of the indicators: (value-risk) pair of the actual scenario is then plotted on the defined VR-Graph to facilitate decision-making by rendering the scenarios’ performance more visible and clearer. The proposed decision-making tool is illustrated with an example from manufacturing setup in the process context but it can be extended to product or systems evaluation. http://hdl.handle.net/10985/17277 Performance Visualization in Industrial Systems for Informed Decision Making SHAH, Liaqat Ali; VERNADAT, François; SIADAT, Ali; ETIENNE, Alain Information visualization is a key component of many decision support tools in sciences and engineering. Graph is a visual construct that is widely used to model information for visualization. In this paper, a value-risk graph is proposed to visualize the results of value-risk based performance measurement systems (PMSs). The proposed graph for PMS divides the overall performance of industrial systems into distinct zones to facilitate the decision-making process. The upper bound, lower bound, and target value of each measure are decided by the performance evaluator and, then, transformed into normalized values using value theory principles. The aggregation of normalized measures along value and risk lines when combined defines “highly desirable”, “feasible”, ”risky”, and “unacceptable” zones. Scenario performance data when plotted on the graph visualize the overall performance of the system in terms of value and risk. The proposed decision-making value-risk graph is illustrated with an example dealing with manufacturing process design but it can be applied to any kind of system evaluation. Mon, 01 Jan 2018 00:00:00 GMT http://hdl.handle.net/10985/17277 2018-01-01T00:00:00Z SHAH, Liaqat Ali VERNADAT, François SIADAT, Ali ETIENNE, Alain Information visualization is a key component of many decision support tools in sciences and engineering. Graph is a visual construct that is widely used to model information for visualization. In this paper, a value-risk graph is proposed to visualize the results of value-risk based performance measurement systems (PMSs). The proposed graph for PMS divides the overall performance of industrial systems into distinct zones to facilitate the decision-making process. The upper bound, lower bound, and target value of each measure are decided by the performance evaluator and, then, transformed into normalized values using value theory principles. The aggregation of normalized measures along value and risk lines when combined defines “highly desirable”, “feasible”, ”risky”, and “unacceptable” zones. Scenario performance data when plotted on the graph visualize the overall performance of the system in terms of value and risk. The proposed decision-making value-risk graph is illustrated with an example dealing with manufacturing process design but it can be applied to any kind of system evaluation. http://hdl.handle.net/10985/17259 Process-oriented risk assessment methodology for manufacturing process evaluation SHAH, Liaqat A.; VERNADAT, François; SIADAT, Ali; ETIENNE, Alain A process-oriented risk assessment methodology is proposed. Risks involved in a process and the corresponding risk factors are identified through an objectives-oriented risk identification approach and evaluated qualitatively in the Process FMEA. The critical risks of the PFMEA are then incorporated in the process model for further quantitative analysis employing simulation technique. Using the proposed methodology as a decision-making tool, alternative scenarios are developed and evaluated against the developed risk measures. The risk measures values issues out of simulation are normalized and aggregated to form a global risk indicator to rank the alternative processes on the basis of desirability. The methodology is illustrated with a case study issued from parts manufacturing but is applicable to a wide range of other processes. Fri, 01 Jan 2016 00:00:00 GMT http://hdl.handle.net/10985/17259 2016-01-01T00:00:00Z SHAH, Liaqat A. VERNADAT, François SIADAT, Ali ETIENNE, Alain A process-oriented risk assessment methodology is proposed. Risks involved in a process and the corresponding risk factors are identified through an objectives-oriented risk identification approach and evaluated qualitatively in the Process FMEA. The critical risks of the PFMEA are then incorporated in the process model for further quantitative analysis employing simulation technique. Using the proposed methodology as a decision-making tool, alternative scenarios are developed and evaluated against the developed risk measures. The risk measures values issues out of simulation are normalized and aggregated to form a global risk indicator to rank the alternative processes on the basis of desirability. The methodology is illustrated with a case study issued from parts manufacturing but is applicable to a wide range of other processes. http://hdl.handle.net/10985/17248 Comprehensive Performance Expression Model for Industrial Performance Management and Decision Support LI, Fan; VERNADAT, François; SIADAT, Ali; ETIENNE, Alain Due to proliferation of evaluation criteria and decision data overflow in nowadays fluctuating industrial environments, it is necessary to build a holistic, easy-to-use and efficient methodology for performance evaluation and decision making. More accurate overall performance expressions should not only prove that the selected decision alternative better fits the evaluator’s objective at the time of evaluation, but it should also assume that this alternative remains the best solution in the subsequent evaluation periods. To this end, the benefit-cost-value-risk (BCVR) methodology has been developed for performance evaluation and decision support. The objective of this paper is to propose a comprehensive performance expression model to further ease the application of the methodology. Mon, 01 Jan 2018 00:00:00 GMT http://hdl.handle.net/10985/17248 2018-01-01T00:00:00Z LI, Fan VERNADAT, François SIADAT, Ali ETIENNE, Alain Due to proliferation of evaluation criteria and decision data overflow in nowadays fluctuating industrial environments, it is necessary to build a holistic, easy-to-use and efficient methodology for performance evaluation and decision making. More accurate overall performance expressions should not only prove that the selected decision alternative better fits the evaluator’s objective at the time of evaluation, but it should also assume that this alternative remains the best solution in the subsequent evaluation periods. To this end, the benefit-cost-value-risk (BCVR) methodology has been developed for performance evaluation and decision support. The objective of this paper is to propose a comprehensive performance expression model to further ease the application of the methodology. http://hdl.handle.net/10985/21335 13th International Conference on Modeling, Optimization and Simulation - MOSIM 2020 VERNADAT, François; MIFDAL, Lahcen; SIADAT, Ali Session RS-1 “Simulation et Optimisation” / “Simulation and Optimization” Session RS-2 “Planification des Besoins Matières Pilotée par la Demande” / ”Demand-Driven Material Requirements Planning” Session RS-3 “Ingénierie de Systèmes Basées sur les Modèles” / “Model-Based System Engineering” Session RS-4 “Recherche Opérationnelle en Gestion de Production” / "Operations Research in Production Management" Session RS-5 "Planification des Matières et des Ressources / Planification de la Production” / “Material and Resource Planning / Production Planning" Session RS-6 “Maintenance Industrielle” / “Industrial Maintenance” Session RS-7 "Etudes de Cas Industriels” / “Industrial Case Studies" Session RS-8 "Données de Masse / Analyse de Données” / “Big Data / Data Analytics" Session RS-9 "Gestion des Systèmes de Transport” / “Transportation System Management" Session RS-10 "Economie Circulaire / Développement Durable" / "Circular Economie / Sustainable Development" Session RS-11 "Conception et Gestion des Chaînes Logistiques” / “Supply Chain Design and Management" Session SP-1 “Intelligence Artificielle & Analyse de Données pour la Production 4.0” / “Artificial Intelligence & Data Analytics in Manufacturing 4.0” Session SP-2 “Gestion des Risques en Logistique” / “Risk Management in Logistics” Session SP-3 “Gestion des Risques et Evaluation de Performance” / “Risk Management and Performance Assessment” Session SP-4 "Indicateurs Clés de Performance 4.0 et Dynamique de Prise de Décision” / ”4.0 Key Performance Indicators and Decision-Making Dynamics" Session SP-5 "Logistique Maritime” / “Marine Logistics" Session SP-6 “Territoire et Logistique : Un Système Complexe” / “Territory and Logistics: A Complex System” Session SP-7 "Nouvelles Avancées et Applications de la Logique Floue en Production Durable et en Logistique” / “Recent Advances and Fuzzy-Logic Applications in Sustainable Manufacturing and Logistics" Session SP-8 “Gestion des Soins de Santé” / ”Health Care Management” Session SP-9 “Ingénierie Organisationnelle et Gestion de la Continuité de Service des Systèmes de Santé dans l’Ere de la Transformation Numérique de la Société” / “Organizational Engineering and Management of Business Continuity of Healthcare Systems in the Era of Numerical Society Transformation” Session SP-10 “Planification et Commande de la Production pour l’Industrie 4.0” / “Production Planning and Control for Industry 4.0” Session SP-11 “Optimisation des Systèmes de Production dans le Contexte 4.0 Utilisant l’Amélioration Continue” / “Production System Optimization in 4.0 Context Using Continuous Improvement” Session SP-12 “Défis pour la Conception des Systèmes de Production Cyber-Physiques” / “Challenges for the Design of Cyber Physical Production Systems” Session SP-13 “Production Avisée et Développement Durable” / “Smart Manufacturing and Sustainable Development” Session SP-14 “L’Humain dans l’Usine du Futur” / “Human in the Factory of the Future” Session SP-15 “Ordonnancement et Prévision de Chaînes Logistiques Résilientes” / “Scheduling and Forecasting for Resilient Supply Chains” Comité d’organisation: Université Internationale d’Agadir – Agadir (Maroc) Laboratoire Conception Fabrication Commande – Metz (France) Fri, 01 Jan 2021 00:00:00 GMT http://hdl.handle.net/10985/21335 2021-01-01T00:00:00Z VERNADAT, François MIFDAL, Lahcen SIADAT, Ali Session RS-1 “Simulation et Optimisation” / “Simulation and Optimization” Session RS-2 “Planification des Besoins Matières Pilotée par la Demande” / ”Demand-Driven Material Requirements Planning” Session RS-3 “Ingénierie de Systèmes Basées sur les Modèles” / “Model-Based System Engineering” Session RS-4 “Recherche Opérationnelle en Gestion de Production” / "Operations Research in Production Management" Session RS-5 "Planification des Matières et des Ressources / Planification de la Production” / “Material and Resource Planning / Production Planning" Session RS-6 “Maintenance Industrielle” / “Industrial Maintenance” Session RS-7 "Etudes de Cas Industriels” / “Industrial Case Studies" Session RS-8 "Données de Masse / Analyse de Données” / “Big Data / Data Analytics" Session RS-9 "Gestion des Systèmes de Transport” / “Transportation System Management" Session RS-10 "Economie Circulaire / Développement Durable" / "Circular Economie / Sustainable Development" Session RS-11 "Conception et Gestion des Chaînes Logistiques” / “Supply Chain Design and Management" Session SP-1 “Intelligence Artificielle & Analyse de Données pour la Production 4.0” / “Artificial Intelligence & Data Analytics in Manufacturing 4.0” Session SP-2 “Gestion des Risques en Logistique” / “Risk Management in Logistics” Session SP-3 “Gestion des Risques et Evaluation de Performance” / “Risk Management and Performance Assessment” Session SP-4 "Indicateurs Clés de Performance 4.0 et Dynamique de Prise de Décision” / ”4.0 Key Performance Indicators and Decision-Making Dynamics" Session SP-5 "Logistique Maritime” / “Marine Logistics" Session SP-6 “Territoire et Logistique : Un Système Complexe” / “Territory and Logistics: A Complex System” Session SP-7 "Nouvelles Avancées et Applications de la Logique Floue en Production Durable et en Logistique” / “Recent Advances and Fuzzy-Logic Applications in Sustainable Manufacturing and Logistics" Session SP-8 “Gestion des Soins de Santé” / ”Health Care Management” Session SP-9 “Ingénierie Organisationnelle et Gestion de la Continuité de Service des Systèmes de Santé dans l’Ere de la Transformation Numérique de la Société” / “Organizational Engineering and Management of Business Continuity of Healthcare Systems in the Era of Numerical Society Transformation” Session SP-10 “Planification et Commande de la Production pour l’Industrie 4.0” / “Production Planning and Control for Industry 4.0” Session SP-11 “Optimisation des Systèmes de Production dans le Contexte 4.0 Utilisant l’Amélioration Continue” / “Production System Optimization in 4.0 Context Using Continuous Improvement” Session SP-12 “Défis pour la Conception des Systèmes de Production Cyber-Physiques” / “Challenges for the Design of Cyber Physical Production Systems” Session SP-13 “Production Avisée et Développement Durable” / “Smart Manufacturing and Sustainable Development” Session SP-14 “L’Humain dans l’Usine du Futur” / “Human in the Factory of the Future” Session SP-15 “Ordonnancement et Prévision de Chaînes Logistiques Résilientes” / “Scheduling and Forecasting for Resilient Supply Chains” http://hdl.handle.net/10985/22227 A method for supporting the transformation of an existing production system with its integrated Enterprise Information Systems (EISs) into a Cyber Physical Production System (CPPS) WU, Xuan; GOEPP, Virginie; VERNADAT, François; SIADAT, Ali Cyber-Physical Systems (CPSs) combine the use of components from the physical and the digital worlds in a synergistic way. Cyber-Physical Production Systems (CPPSs), essential in Industry 4.0, result from the application of CPS principles to production environments. To promote the widespread implementation of CPPSs, it is necessary to study how to transform an existing production system with its integrated Enterprise Information Systems (EISs)into a CPPS. This is a very broad question and the scope ofthis work is limited to the concept development stage. The purpose of the paper is twofold: (1) to elaborate a meta model for formalizing the elements that constitute CPPSs, with a particular emphasis on the involved EISs, and (2) to propose a method for supporting the transformation of an existing production system with its integrated EISs into a CPPS. Firstly, a literature review on the transformation methods towards CPPSs is carried out. It concludes that existing studies do not consider all aspects of CPPSs, especially its EISs, and that there is a lack of a method that analyzes the gap between the As-Is system and the To-Be system. As a result, a meta-model describing the main object classes that constitute CPPSs and the interrelationships among these classes, is proposed. Next, a method based on the meta-model is proposed to support the transformation into a CPPS. It provides a checking matrix to immediately visualize which improvement actions in the As-Is system are required. Furthermore, a case study illustrating the use of the method is presented. Finally, the contributions of the study are summarized and future work is highlighted Fri, 01 Oct 2021 00:00:00 GMT http://hdl.handle.net/10985/22227 2021-10-01T00:00:00Z WU, Xuan GOEPP, Virginie VERNADAT, François SIADAT, Ali Cyber-Physical Systems (CPSs) combine the use of components from the physical and the digital worlds in a synergistic way. Cyber-Physical Production Systems (CPPSs), essential in Industry 4.0, result from the application of CPS principles to production environments. To promote the widespread implementation of CPPSs, it is necessary to study how to transform an existing production system with its integrated Enterprise Information Systems (EISs)into a CPPS. This is a very broad question and the scope ofthis work is limited to the concept development stage. The purpose of the paper is twofold: (1) to elaborate a meta model for formalizing the elements that constitute CPPSs, with a particular emphasis on the involved EISs, and (2) to propose a method for supporting the transformation of an existing production system with its integrated EISs into a CPPS. Firstly, a literature review on the transformation methods towards CPPSs is carried out. It concludes that existing studies do not consider all aspects of CPPSs, especially its EISs, and that there is a lack of a method that analyzes the gap between the As-Is system and the To-Be system. As a result, a meta-model describing the main object classes that constitute CPPSs and the interrelationships among these classes, is proposed. Next, a method based on the meta-model is proposed to support the transformation into a CPPS. It provides a checking matrix to immediately visualize which improvement actions in the As-Is system are required. Furthermore, a case study illustrating the use of the method is presented. Finally, the contributions of the study are summarized and future work is highlighted http://hdl.handle.net/10985/6295 (Value, Risk)-based Performance Evaluation of Manufacturing Processes SHAH, Liaqat; VERNADAT, François; SIADAT, Ali; ETIENNE, Alain A value/risk -based performance evaluation framework is proposed in the context of manufacturing processes at the industrialization phase of product development. Various risk factors of the manufacturing process are identified through Failure Mode and Effect Analysis (FMEA) and then embedded in the process plan models. Modelling and simulation are then employed for determining the value a process plan can create and the risk it is exposed to. Alternative scenarios are developed, simulated and compared with a reference scenario. The methodology is illustrated with a case study issued from parts manufacturing but is applicable to a wide range of other processes. Sun, 01 Jan 2012 00:00:00 GMT http://hdl.handle.net/10985/6295 2012-01-01T00:00:00Z SHAH, Liaqat VERNADAT, François SIADAT, Ali ETIENNE, Alain A value/risk -based performance evaluation framework is proposed in the context of manufacturing processes at the industrialization phase of product development. Various risk factors of the manufacturing process are identified through Failure Mode and Effect Analysis (FMEA) and then embedded in the process plan models. Modelling and simulation are then employed for determining the value a process plan can create and the risk it is exposed to. Alternative scenarios are developed, simulated and compared with a reference scenario. The methodology is illustrated with a case study issued from parts manufacturing but is applicable to a wide range of other processes. http://hdl.handle.net/10985/8834 VR-PMS: a new approach for performance measurement and management of industrial systems VERNADAT, François; SHAH, Liaqat; SIADAT, Ali; ETIENNE, Alain A new performance measurement and management framework based on value and risk is proposed. The proposed framework is applied to the modelling and evaluation of the a priori performance evaluation of manufacturing processes and to deciding on their alternatives. For this reason, it consistently integrates concepts relevant to objectives, activity, and risk in a single framework comprising a conceptual value/risk model, and it conceptualises the idea of value- and risk based performance management in a process context. In addition, a methodological framework is developed to provide guidelines for the decision-makers or performance evaluators of the processes. To facilitate the performance measurement and management process, this latter framework is organized in four phases: context establishment, performance modelling, performance assessment, and decision-making. Each phase of the framework is then instrumented with state of-the-art quantitative analysis tools and methods. For process design and evaluation, the deliverable of the value- and risk-based performance measurement and management system (VR-PMS) is a set of ranked solutions (i.e. alternative business processes) evaluated against the developed value and risk indicators. The proposed VR-PMS is illustrated with a case study from discrete parts manufacturing but is indeed applicable to a wide range of processes or systems. Tue, 01 Jan 2013 00:00:00 GMT http://hdl.handle.net/10985/8834 2013-01-01T00:00:00Z VERNADAT, François SHAH, Liaqat SIADAT, Ali ETIENNE, Alain A new performance measurement and management framework based on value and risk is proposed. The proposed framework is applied to the modelling and evaluation of the a priori performance evaluation of manufacturing processes and to deciding on their alternatives. For this reason, it consistently integrates concepts relevant to objectives, activity, and risk in a single framework comprising a conceptual value/risk model, and it conceptualises the idea of value- and risk based performance management in a process context. In addition, a methodological framework is developed to provide guidelines for the decision-makers or performance evaluators of the processes. To facilitate the performance measurement and management process, this latter framework is organized in four phases: context establishment, performance modelling, performance assessment, and decision-making. Each phase of the framework is then instrumented with state of-the-art quantitative analysis tools and methods. For process design and evaluation, the deliverable of the value- and risk-based performance measurement and management system (VR-PMS) is a set of ranked solutions (i.e. alternative business processes) evaluated against the developed value and risk indicators. The proposed VR-PMS is illustrated with a case study from discrete parts manufacturing but is indeed applicable to a wide range of processes or systems.