Industrial Engineering Department - INSA de Lyon

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MODELS SIGNALS AND SYSTEMS E13 - DESIGN AND METHODOLOGIES ANALYSIS Structured approach: Activities and data, Data flow diagrams, Data dictionaries, The author-reader cycle. Process oriented approaches: Conceptual models of data activities and processes Organizational models of data and processing Analysis and design of the 3 components of a production system: operational system, decision system, and information system. T20 – SYSTEM ANALYSIS Re-engineering of production systems T22 – REAKTIK (business game) P2 – DESIGN OF INFORMATION SYSTEMS In an industrial framework, we study the design of various processing models (conceptual, organizational and operational) and the corresponding data models. The emphasis is laid on methodological aspects and on project control by using a suitable software workshop and by elaborating various scenarios of computerization. One of the characteristics will be the definition of sub-projects coordinated within each group of students. E1 - CONCEPTUAL APPROACH OF SYSTEMS Concept of a system - Theory of operators Space and temporal behavior of systems Principles of projection - Application to regression Models and structures: matrix approach, Dirac, impulse and index responses, graphs... Convolution operators, Fourier and Laplace operators. Modeling, simulation and control of linear and stationary systems Decomposition of a system into continuous linear stationary subsystems Basic concepts of signals: sampling, filtering, spectral analysis... Basic concepts of the process control: stability, loops, timeconstants, adaptation, prediction, and modal control... T7 – SYSTEM MODELING Structural decomposition and dynamic modeling of a production system. E11 – PROBABILITIES AND STATISTICS Distributions and probability laws, Random variables and moments Estimation (maximum likelihood, robust estimation, regression) Hypothesis tests T16 – PROBABILITIES AND STATISTICS Probabilistic modeling of notation system (hypothesis tests, adequacy tests, evaluation of probabilities, analysis of a sample, Matlab programming) MANUFACTURING PROCESSES E17 – NUMERICAL CONTROL Structure of machines – ISO Language Control unit structure CN sequence chain T10 - NUMERICAL CONTROL Operation and implementation of a machine Simulation of a lathe engine (trajectory tracking) Simulation of 3D milling (LICN) P3 – Experimental design P4 – MANUFACTURING ANALYSIS - Manufacturing ranges Isostatism Cut parameters T13 – CUTTING Lifespan of tools, economic consequences Influence of cutting conditions on roughness MECHANIC E16 – MECHANICAL PROPERTIES OF MATERIALS This course aims to describe and explain the principal mechanical properties of the large material classes as well as to present a method of material selection for precise applications. The principal developed topics are: The microscopic nature of materials Plastic strain of materials Fracture of materials Material selection: method of the performance indices applied to real cases Mechanical properties of metals (steel, cast iron, aluminum alloys), of polymers (thermoplastics, thermosets, elastomers), of composites and of ceramics T12 – MATERIAL SELECTION, CHARACTERIZATION TESTS Composite approach Characterization of a material by mechanical tests Material selection E19 – STRENGTH OF MATERIALS Constraint modeling under simple loads, Static balance and torque of mechanical actions, Beam model, Stress tensors and resistance criteria, Strain tensors Constitutive laws, Bending deflection E20 – DESIGN AND FIABILITY OF MECHANICAL SYSTEMS Introduction to design and to CAD Modeling of mechanical systems (static, dynamic, fatigue...) Study of bearings Modeling of complex mechanisms. Basic elements of mechanical design P5 – MANUFACTURING MACHINES DESIGN T14 – MECHANICAL SYSTEM ANALYSIS T21 - FIABILITY THE MAN AND THE COMPANY E21 – ENTERPRISE AND FINANCIAL DIAGNOSIS T15 – POWER 7 Training of the methods for resolving a problem within a company Quality tools Methodologies of problem resolution LINGUISTIC AND SPORT ACTIVITIES E22 COMMUNICATION PRACTICE To become aware of the various communication channels To explore one’s private means and one’s limits and to train oneself to overcome them To question one’s own participation in a group To include/understand the steps in social sciences Joint project through theatre E23 - ENGLISH + intensive week E24 - SPORTS BIBLIOGRAPHY
4 TH YEAR COMPUTER SCIENCES E8 – DATA ANALYSIS 1. Data Characteristics: origin, quality, coding Preparation: restoration, filtering, synchronization, construction of classes Dependence: distances, ultra metric, correlation 2. Tools: Descriptive methods: principal components analysis, correspondences, preferences Explanatory methods: regression, segmentation, canonical analysis, discriminated analysis Structural methods: ultra metric and hierarchical classification, dynamic swarms. 3. Analysis: Analysis methodologies Interpretation rules Case studies E16 – DATA WAREHOUSE Management of the technical data of a project, Charter of development and design process, Constraints and specifications for the management of the technical data, Smarteam as tool of implementation, Application CATIA-SMARTEAM P2 – DATA WAREHOUSE TDR – NETWORKS E18 - NETWORKS P1 – INDUSTRIAL NETWORKS Implementation of industrial local area networks Interfacing with general networks Communication within heterogeneous equipment (robot, MOCN…) E3 – HUMAN-COMPUTER INTERACTION Portability of graphical applications Models and methodology of interface design Architectures of UI management systems Interactivity and modern interfacing environments Multi-modal communication Ergonomics and human dimensions of UID UID = vector of transfer of knowledge UID and production PRODUCTION MANAGEMENT E5 – PRODUCTION MANAGEMENT: BASICS Introduction to technical data Introduction to production management: Notion of thorough flow, the various levels of decision: PIC, MPS, MRP, scheduling, basic elements of stock management Introduction to production management methods (Kanban, Kaisen, TOC, SMED, TPM, …) E6 – PRODUCTION MANAGEMENT: COMPLEMENTS Information systems: from production management to supply chain management, CAM, ERP (integrated system for company management), implementation steps of an ERP Workshop scheduling (single machine, parallel machines, flow shop, job shop, hybrid organizations), project scheduling (PERT,) Forecasting methods T1 - PRELUDE P6 – DESIGN OF PRODUCTION SYSTEMS Preliminary analysis Design of production systems Dimensioning of a production system. Decision support for system control P4 – SCHEDULING AND FLOW MANAGEMENT Study of the implementation of scheduling software. Considering a company which decides to modify its scheduling system: Study of the technical data, calculation of the operational duration and the estimated loads (personnel and equipment), and technical data bases (operations, resources, operation times, product ranges, work order...). Study of the effects of the choice of sequencing heuristic, as well as the influence of the work periods (calendar) Study of the coherence of the operators’ work schedules and of the harmonization solutions How to take into account constraints (storage capacity,...) and risks (breakdown of a machine,...) Technical and financial analysis and evaluation of scheduling software P5 – ERP – PRODUCTION MANAGEMENT AND PLANNING Presentation of the ERP software SAP R/3 (structure, concepts, applications), Discovery of SAP R/3 Guided tour of the Production-Planning module: master data, customer order management process, various business processes manufacturing planning and execution (forecasting, sales and operation planning demand management, MRP, order management). Development of new cases of business process (functional parameterization). DECISION SUPPORT AND AUTOMATION E1 – AUTOMATION Introduction to automation Automated systems of production (functionalities, uses) project of automation (tools and methods of design, programming) Industrial local networks E4 – MES An MES (Manufacturing Execution System) is an information system for production workshops. This recent concept makes it possible to establish the link between planning (CAM, ERP) and control (supervision, control). The objective of this course is to present: Industrial needs, The functionality brought by a MES (standards), Impact of MES and return on investment, Tools and methods of MES design, The installation of a MES project, industrial solutions. P3 - MANUFACTURING EXECUTION SYSTEMS (MES) Considering a real manufacturing unit: Study of the functions which the information system must provide: tractability, quality management, production follow-up Specification and realization of the system architecture Implementation and testing of this production unit P8 – AUTOMATION PROJECT E7 –DECISION SUPPORT Principals of the simplex algorithm Problem modeling by linear programs Sensitivity to constraints and marginal costs Optimization in networks Modeling of production problems as systems of linear equations and usage of the simplex algorithm as a decision tool.
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Industrial Engineering Department - INSA de Lyon

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