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2.008 Design and Manufacturing II (MIT) 2.008 Design and Manufacturing II (MIT)

Description

This course introduces you to modern manufacturing with four areas of emphasis: manufacturing processes, equipment/control, systems, and design for manufacturing. The course exposes you to integration of engineering and management disciplines for determining manufacturing rate, cost, quality and flexibility. Topics include process physics, equipment design and automation/control, quality, design for manufacturing, industrial management, and systems design and operation. Labs are integral parts of the course, and expose you to various manufacturing disciplines and practices. This course introduces you to modern manufacturing with four areas of emphasis: manufacturing processes, equipment/control, systems, and design for manufacturing. The course exposes you to integration of engineering and management disciplines for determining manufacturing rate, cost, quality and flexibility. Topics include process physics, equipment design and automation/control, quality, design for manufacturing, industrial management, and systems design and operation. Labs are integral parts of the course, and expose you to various manufacturing disciplines and practices.

Subjects

modern manufacturing | modern manufacturing | manufacturing processes | manufacturing processes | equipment/control | equipment/control | systems | systems | design for manufacturing | design for manufacturing | integration of engineering and management disciplines | integration of engineering and management disciplines | manufacturing rate | manufacturing rate | cost | cost | quality | quality | flexibility | flexibility | process physics | process physics | equipment design | equipment design | automation/control | automation/control | industrial management | industrial management | systems design and operation | systems design and operation

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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15.760B Introduction to Operations Management (MIT) 15.760B Introduction to Operations Management (MIT)

Description

This half-term course introduces students to problems and analysis related to the design, planning, control, and improvement of manufacturing and service operations. Class sessions involve explaining concepts, working examples, and discussing cases. A wide range of topics are covered, including: process analysis, quality management, supply chain design, procurement, and product development. Toward the end of the course, students work in teams to manage a virtual factory in a web-based simulation exercise. This half-term course introduces students to problems and analysis related to the design, planning, control, and improvement of manufacturing and service operations. Class sessions involve explaining concepts, working examples, and discussing cases. A wide range of topics are covered, including: process analysis, quality management, supply chain design, procurement, and product development. Toward the end of the course, students work in teams to manage a virtual factory in a web-based simulation exercise.

Subjects

operations management | operations management | service operations | service operations | manufacturing design | manufacturing design | manufacturing planning | manufacturing planning | production control | production control | quality management | quality management | process design | process design | reengineering | reengineering | product development | product development | project management | project management | supply chain design | supply chain design | improving manufacturing processes | improving manufacturing processes | capacity | capacity | inventory | inventory | quality control | quality control | product design | product design | factory management | factory management

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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2.854 Manufacturing Systems I (SMA 6304) (MIT) 2.854 Manufacturing Systems I (SMA 6304) (MIT)

Description

As the first in a sequence of four half-term courses, this course will provide the fundamental building blocks for conceptualizing, understanding and optimizing manufacturing systems and supply chains. These building blocks include process analysis, queuing theory, simulation, forecasting, inventory theory and linear programming. This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 6304 (Manufacturing Systems I: Analytical Methods and Flow Models). As the first in a sequence of four half-term courses, this course will provide the fundamental building blocks for conceptualizing, understanding and optimizing manufacturing systems and supply chains. These building blocks include process analysis, queuing theory, simulation, forecasting, inventory theory and linear programming. This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 6304 (Manufacturing Systems I: Analytical Methods and Flow Models).

Subjects

conceptualizing | conceptualizing | understanding and optimizing manufacturing systems and supply chains | understanding and optimizing manufacturing systems and supply chains | process analysis | process analysis | queueing theory | queueing theory | simulation | simulation | forecasting | forecasting | inventory theory | inventory theory | linear programming | linear programming | conceptualizing | understanding and optimizing manufacturing systems and supply chains | conceptualizing | understanding and optimizing manufacturing systems and supply chains | SMA 6304 | SMA 6304

License

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2.852 Manufacturing Systems Analysis (MIT) 2.852 Manufacturing Systems Analysis (MIT)

Description

This course deals with the following topics: Models of manufacturing systems, including transfer lines and flexible manufacturing systems; Calculation of performance measures, including throughput, in-process inventory, and meeting production commitments; Real-time control of scheduling; Effects of machine failure, set-ups, and other disruptions on system performance. This course deals with the following topics: Models of manufacturing systems, including transfer lines and flexible manufacturing systems; Calculation of performance measures, including throughput, in-process inventory, and meeting production commitments; Real-time control of scheduling; Effects of machine failure, set-ups, and other disruptions on system performance.

Subjects

models | models | manufacturing systems | manufacturing systems | transfer lines | transfer lines | flexible manufacturing systems | flexible manufacturing systems | Calculation of performance measures | Calculation of performance measures | throughput | throughput | in-process inventory | in-process inventory | meeting production commitments | meeting production commitments | Real-time control of scheduling | Real-time control of scheduling | Effects of machine failure | Effects of machine failure | disruptions on system performance | disruptions on system performance

License

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4.510 Digital Design Fabrication (MIT) 4.510 Digital Design Fabrication (MIT)

Description

This course will guide graduate students through the process of using rapid prototyping and CAD/CAM devices in a studio environment. The class has a theoretical focus on machine use within the process of design. Each student is expected to have completed one graduate level of design computing with a full understanding of solid modeling in CAD. Students are also expected to have completed at least one graduate design studio. This course will guide graduate students through the process of using rapid prototyping and CAD/CAM devices in a studio environment. The class has a theoretical focus on machine use within the process of design. Each student is expected to have completed one graduate level of design computing with a full understanding of solid modeling in CAD. Students are also expected to have completed at least one graduate design studio.

Subjects

digital fabrication | digital fabrication | design | design | cad | cad | cam | cam | digital manufacturing | digital manufacturing | assembly | assembly | design geometry | design geometry | fabrication | fabrication | drafting | drafting | modeling | modeling | printing | printing | waterjet cutting | waterjet cutting | cnc manufacturing | cnc manufacturing | generative fabrication | generative fabrication | construction grammars | construction grammars | prototyping | prototyping | boston water taxi | boston water taxi

License

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2.830J Control of Manufacturing Processes (SMA 6303) (MIT) 2.830J Control of Manufacturing Processes (SMA 6303) (MIT)

Description

Includes audio/video content: AV special element video, AV lectures. This course explores statistical modeling and control in manufacturing processes. Topics include the use of experimental design and response surface modeling to understand manufacturing process physics, as well as defect and parametric yield modeling and optimization. Various forms of process control, including statistical process control, run by run and adaptive control, and real-time feedback control, are covered. Application contexts include semiconductor manufacturing, conventional metal and polymer processing, and emerging micro-nano manufacturing processes. Includes audio/video content: AV special element video, AV lectures. This course explores statistical modeling and control in manufacturing processes. Topics include the use of experimental design and response surface modeling to understand manufacturing process physics, as well as defect and parametric yield modeling and optimization. Various forms of process control, including statistical process control, run by run and adaptive control, and real-time feedback control, are covered. Application contexts include semiconductor manufacturing, conventional metal and polymer processing, and emerging micro-nano manufacturing processes.

Subjects

2.830 | 2.830 | 6.780 | 6.780 | ESD.63 | ESD.63 | Process control | Process control | manufacturing process | manufacturing process | discrete system feedback control theory | discrete system feedback control theory | empirical and adaptive modeling | empirical and adaptive modeling | off-line optimization | off-line optimization | statistical process control | statistical process control | real-time control. | real-time control. | real-time control | real-time control | one-factor-at-a-time | one-factor-at-a-time | robustness | robustness | Shewhart Hypothesis | Shewhart Hypothesis | semiconductor manufacturing | semiconductor manufacturing

License

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2.882 System Design and Analysis based on AD and Complexity Theories (MIT) 2.882 System Design and Analysis based on AD and Complexity Theories (MIT)

Description

This course studies what makes a good design and how one develops a good design. Students consider how the design of engineered systems (such as hardware, software, materials, and manufacturing systems) differ from the "design" of natural systems such as biological systems; discuss complexity and how one makes use of complexity theory to improve design; and discover how one uses axiomatic design theory (AD theory) in design of many different kinds of engineered systems. Questions are analyzed using Axiomatic Design Theory and Complexity Theory. Case studies are presented including the design of machines, tribological systems, materials, manufacturing systems, and recent inventions. Implications of AD and complexity theories on biological systems discussed. This course studies what makes a good design and how one develops a good design. Students consider how the design of engineered systems (such as hardware, software, materials, and manufacturing systems) differ from the "design" of natural systems such as biological systems; discuss complexity and how one makes use of complexity theory to improve design; and discover how one uses axiomatic design theory (AD theory) in design of many different kinds of engineered systems. Questions are analyzed using Axiomatic Design Theory and Complexity Theory. Case studies are presented including the design of machines, tribological systems, materials, manufacturing systems, and recent inventions. Implications of AD and complexity theories on biological systems discussed.

Subjects

information content | information content | electrical connector | electrical connector | constraint | constraint | complexity | complexity | manufacturing | manufacturing | design | design | functional requirement | functional requirement | requirement | requirement | tradeoff | tradeoff | optimization | optimization | engineered systems | engineered systems | natural systems | natural systems | complexity theory | complexity theory | axiomatic design | axiomatic design | tribology | tribology | tribological systems | tribological systems | manufacturing systems | manufacturing systems | biological systems | biological systems

License

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2.008 Design and Manufacturing II (MIT) 2.008 Design and Manufacturing II (MIT)

Description

Integration of design, engineering, and management disciplines and practices for analysis and design of manufacturing enterprises. Emphasis is on the physics and stochastic nature of manufacturing processes and systems, and their effects on quality, rate, cost, and flexibility. Topics include process physics and control, design for manufacturing, and manufacturing systems. Group project requires design and fabrication of parts using mass-production and assembly methods to produce a product in quantity. Integration of design, engineering, and management disciplines and practices for analysis and design of manufacturing enterprises. Emphasis is on the physics and stochastic nature of manufacturing processes and systems, and their effects on quality, rate, cost, and flexibility. Topics include process physics and control, design for manufacturing, and manufacturing systems. Group project requires design and fabrication of parts using mass-production and assembly methods to produce a product in quantity.

Subjects

manufacturing enterprises | manufacturing enterprises | physics | physics | stochastic nature of manufacturing processes | stochastic nature of manufacturing processes | quality | quality | rate | rate | cost | cost | flexibility | flexibility | process physics | process physics | process control | process control

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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6.780 Semiconductor Manufacturing (MIT) 6.780 Semiconductor Manufacturing (MIT)

Description

6.780 covers statistical modeling and the control of semiconductor fabrication processes and plants. Topics covered include: design of experiments, response surface modeling, and process optimization; defect and parametric yield modeling; process/device/circuit yield optimization; monitoring, diagnosis, and feedback control of equipment and processes; and analysis and scheduling of semiconductor manufacturing operations. 6.780 covers statistical modeling and the control of semiconductor fabrication processes and plants. Topics covered include: design of experiments, response surface modeling, and process optimization; defect and parametric yield modeling; process/device/circuit yield optimization; monitoring, diagnosis, and feedback control of equipment and processes; and analysis and scheduling of semiconductor manufacturing operations.

Subjects

Semiconductor manufacturing | Semiconductor manufacturing | statistics | statistics | distributions | distributions | estimation | estimation | hypothesis testing | hypothesis testing | statistical process control | statistical process control | control chart | control chart | control chart design | control chart design | design of experiments | design of experiments | empirical equipment | empirical equipment | process modeling | process modeling | experimental design | experimental design | yield models | yield models | spatial variation | spatial variation | spatial models | spatial models | design for manufacturability | design for manufacturability | equipment monitoring | equipment monitoring | equipment diagnosis | equipment diagnosis | equipment control | equipment control | run by run | run by run | multistage process control | multistage process control | scheduling | scheduling | planning | planning | factory modeling | factory modeling | factory infrastructure | factory infrastructure | environmental | environmental | health and safety | health and safety | computer integrated manufacturing | computer integrated manufacturing | factory operation | factory operation | factory design | factory design | advanced process control | advanced process control | yield learning | yield learning

License

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15.066J System Optimization and Analysis for Manufacturing (MIT) 15.066J System Optimization and Analysis for Manufacturing (MIT)

Description

One objective of 15.066J is to introduce modeling, optimization and simulation, as it applies to the study and analysis of manufacturing systems for decision support. The introduction of optimization models and algorithms provide a framework to think about a wide range of issues that arise in manufacturing systems. The second objective is to expose students to a wide range of applications for these methods and models, and to integrate this material with their introduction to operations management. One objective of 15.066J is to introduce modeling, optimization and simulation, as it applies to the study and analysis of manufacturing systems for decision support. The introduction of optimization models and algorithms provide a framework to think about a wide range of issues that arise in manufacturing systems. The second objective is to expose students to a wide range of applications for these methods and models, and to integrate this material with their introduction to operations management.

Subjects

modeling | modeling | optimization | optimization | simulation | simulation | manufacturing systems | manufacturing systems | decision making | decision making | decision support | decision support | probabilistic simulation | probabilistic simulation | designing manufacturing systems | designing manufacturing systems | operations management | operations management | linear programming | linear programming | sensitivity analysis | sensitivity analysis | network flow problems | network flow problems | non-linear programming | non-linear programming | Lagrange multipliers | Lagrange multipliers | integer programming | integer programming | discrete-event simulation | discrete-event simulation | heuristics | heuristics | algorithms | algorithms | 15.066 | 15.066 | 2.851 | 2.851 | 3.83 | 3.83

License

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2.008 Design and Manufacturing II (MIT)

Description

This course introduces you to modern manufacturing with four areas of emphasis: manufacturing processes, equipment/control, systems, and design for manufacturing. The course exposes you to integration of engineering and management disciplines for determining manufacturing rate, cost, quality and flexibility. Topics include process physics, equipment design and automation/control, quality, design for manufacturing, industrial management, and systems design and operation. Labs are integral parts of the course, and expose you to various manufacturing disciplines and practices.

Subjects

modern manufacturing | manufacturing processes | equipment/control | systems | design for manufacturing | integration of engineering and management disciplines | manufacturing rate | cost | quality | flexibility | process physics | equipment design | automation/control | industrial management | systems design and operation

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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Douglas DC-3 United AL publicity photo Douglas DC-3 United AL publicity photo

Description

Subjects

airplane | airplane | aircraft | aircraft | aviation | aviation | united | united | aeroplane | aeroplane | dac | dac | douglas | douglas | airlines | airlines | eastern | eastern | dc3 | dc3 | ual | ual | airliners | airliners | unitedairlines | unitedairlines | 1911 | 1911 | eal | eal | easternairlines | easternairlines | douglasdc3 | douglasdc3 | wrightcyclone | wrightcyclone | r1820 | r1820 | douglasaircraft | douglasaircraft | douglasdc3a | douglasdc3a | dc3a | dc3a | douglasaircraftcompany | douglasaircraftcompany | cn1911 | cn1911 | wrightcycloner1820 | wrightcycloner1820 | wrightr1820 | wrightr1820 | wrightr1820cyclone | wrightr1820cyclone | eiayo | eiayo | dc3a197 | dc3a197 | n655gp | n655gp | n333h | n333h | douglasdc3a197 | douglasdc3a197 | nc16071 | nc16071 | mainlinerlosangeles | mainlinerlosangeles | aircraftenterprises | aircraftenterprises | n65556 | n65556 | n255jb | n255jb | n8695e | n8695e | enhartmanufacturingcompany | enhartmanufacturingcompany | enhartmanufacturing | enhartmanufacturing | commanderaircraftsales | commanderaircraftsales

License

No known copyright restrictions

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2.008 Design and Manufacturing II (MIT)

Description

This course introduces you to modern manufacturing with four areas of emphasis: manufacturing processes, equipment/control, systems, and design for manufacturing. The course exposes you to integration of engineering and management disciplines for determining manufacturing rate, cost, quality and flexibility. Topics include process physics, equipment design and automation/control, quality, design for manufacturing, industrial management, and systems design and operation. Labs are integral parts of the course, and expose you to various manufacturing disciplines and practices.

Subjects

modern manufacturing | manufacturing processes | equipment/control | systems | design for manufacturing | integration of engineering and management disciplines | manufacturing rate | cost | quality | flexibility | process physics | equipment design | automation/control | industrial management | systems design and operation

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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15.760B Introduction to Operations Management (MIT)

Description

This half-term course introduces students to problems and analysis related to the design, planning, control, and improvement of manufacturing and service operations. Class sessions involve explaining concepts, working examples, and discussing cases. A wide range of topics are covered, including: process analysis, quality management, supply chain design, procurement, and product development. Toward the end of the course, students work in teams to manage a virtual factory in a web-based simulation exercise.

Subjects

operations management | service operations | manufacturing design | manufacturing planning | production control | quality management | process design | reengineering | product development | project management | supply chain design | improving manufacturing processes | capacity | inventory | quality control | product design | factory management

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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15.760B Introduction to Operations Management (MIT)

Description

This half-term course introduces students to problems and analysis related to the design, planning, control, and improvement of manufacturing and service operations. Class sessions involve explaining concepts, working examples, and discussing cases. A wide range of topics are covered, including: process analysis, quality management, supply chain design, procurement, and product development. Toward the end of the course, students work in teams to manage a virtual factory in a web-based simulation exercise.

Subjects

operations management | service operations | manufacturing design | manufacturing planning | production control | quality management | process design | reengineering | product development | project management | supply chain design | improving manufacturing processes | capacity | inventory | quality control | product design | factory management

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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15.082J Network Optimization (MIT) 15.082J Network Optimization (MIT)

Description

15.082J/6.855J is an H-level graduate subject in the theory and practice of network flows and its extensions. Network flow problems form a subclass of linear programming problems with applications to transportation, logistics, manufacturing, computer science, project management, finance as well as a number of other domains. This subject will survey some of the applications of network flows and focus on key special cases of network flow problems including the following: the shortest path problem, the maximum flow problem, the minimum cost flow problem, and the multi-commodity flow problem. 15.082J/6.855J is an H-level graduate subject in the theory and practice of network flows and its extensions. Network flow problems form a subclass of linear programming problems with applications to transportation, logistics, manufacturing, computer science, project management, finance as well as a number of other domains. This subject will survey some of the applications of network flows and focus on key special cases of network flow problems including the following: the shortest path problem, the maximum flow problem, the minimum cost flow problem, and the multi-commodity flow problem.

Subjects

network flows | network flows | extensions | extensions | network flow problems | network flow problems | transportation | transportation | logistics | logistics | manufacturing | manufacturing | computer science | computer science | project management | project management | finance | finance | the shortest path problem | the shortest path problem | the maximum flow problem | the maximum flow problem | the minimum cost flow problem | the minimum cost flow problem | the multi-commodity flow problem | the multi-commodity flow problem | communication | communication | systems | systems | applications | applications | efficiency | efficiency | algorithms | algorithms | traffic | traffic | equilibrium | equilibrium | design | design | mplementation | mplementation | linear programming | linear programming | implementation | implementation | computer | computer | science | science | linear | linear | programming | programming | network | network | flow | flow | problems | problems | project | project | management | management | maximum | maximum | minimum | minimum | cost | cost | multi-commodity | multi-commodity | shortest | shortest | path | path | 15.082 | 15.082 | 6.855 | 6.855

License

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15.769 Operations Strategy (MIT) 15.769 Operations Strategy (MIT)

Description

The class provides a unifying framework for analyzing strategic issues in manufacturing and service operations. Relationships between manufacturing and service companies and their suppliers, customers, and competitors are analyzed. The material also covers decisions in technology, facilities, vertical integration, human resources and other strategic areas. Means of competition such as cost, quality, and innovativeness are explored, together with an approach to make operations decisions in the era of outsourcing and globalization. The class provides a unifying framework for analyzing strategic issues in manufacturing and service operations. Relationships between manufacturing and service companies and their suppliers, customers, and competitors are analyzed. The material also covers decisions in technology, facilities, vertical integration, human resources and other strategic areas. Means of competition such as cost, quality, and innovativeness are explored, together with an approach to make operations decisions in the era of outsourcing and globalization.

Subjects

operations | operations | reengineering | reengineering | process design | process design | manufacturing | manufacturing | stragegy | stragegy | supply chain | supply chain | three dimensional concurrent engineering | three dimensional concurrent engineering | charles fine | charles fine | clockspeed | clockspeed | product development | product development

License

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2.830J Control of Manufacturing Processes (SMA 6303) (MIT) 2.830J Control of Manufacturing Processes (SMA 6303) (MIT)

Description

The objective of this subject is to understand the nature of manufacturing process variation and the methods for its control. First, a general process model for control is developed to understand the limitations a specific process places on the type of control used. A general model for process variation is presented and three methods are developed to minimize variations: Statistical Process Control, Process Optimization and in-process Feedback Control. These are considered in a hierarchy of cost-performance tradeoffs, where performance is based on changes in process capability.This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 6306 (Manufacturing Physics III: Process Optimisation and Control). The objective of this subject is to understand the nature of manufacturing process variation and the methods for its control. First, a general process model for control is developed to understand the limitations a specific process places on the type of control used. A general model for process variation is presented and three methods are developed to minimize variations: Statistical Process Control, Process Optimization and in-process Feedback Control. These are considered in a hierarchy of cost-performance tradeoffs, where performance is based on changes in process capability.This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 6306 (Manufacturing Physics III: Process Optimisation and Control).

Subjects

Process control | Process control | manufacturing process | manufacturing process | discrete system feedback control theory | discrete system feedback control theory | empirical and adaptive modeling | empirical and adaptive modeling | off-line optimization | off-line optimization | statistical process control | statistical process control | real-time control. | real-time control. | real-time control | real-time control | 2.830 | 2.830

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15.053 Introduction to Optimization (MIT) 15.053 Introduction to Optimization (MIT)

Description

15.053 introduces students to the theory, algorithms, and applications of optimization. Optimization methodologies include linear programming, network optimization, integer programming, decision trees, and dynamic programming. The methods have applications to logistics, manufacturing, transportation, marketing, project management, and finance. 15.053 introduces students to the theory, algorithms, and applications of optimization. Optimization methodologies include linear programming, network optimization, integer programming, decision trees, and dynamic programming. The methods have applications to logistics, manufacturing, transportation, marketing, project management, and finance.

Subjects

optimization | optimization | manangement | manangement | transportation | transportation | logistics | logistics | manufacturing | manufacturing | computer science | computer science | E-business | E-business | project management | project management | finance | finance | methodologies | methodologies | algorithms | algorithms

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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2.853 Manufacturing Systems I: Analytical Methods and Flow Models (MIT) 2.853 Manufacturing Systems I: Analytical Methods and Flow Models (MIT)

Description

Provides ways to conceptualize and analyze manufacturing systems and supply chains in terms of material flow, information flow, capacities, and flow times. Fundamental building blocks: inventory and queuing models, forecasting and uncertainty, optimization, process analysis, linear systems and system dynamics. Factory planning: flow planning, bottleneck characterization, buffer and batch-size tactics, seasonal planning, dynamics and learning for various process flow topologies and for various market contexts.Technical RequirementsMicrosoft® Excel software is recommended for viewing the .xls files found on this course site. Free  Microsoft® Excel viewer software can also be used to view the .xls files.Microsoft® is a registered trademark Provides ways to conceptualize and analyze manufacturing systems and supply chains in terms of material flow, information flow, capacities, and flow times. Fundamental building blocks: inventory and queuing models, forecasting and uncertainty, optimization, process analysis, linear systems and system dynamics. Factory planning: flow planning, bottleneck characterization, buffer and batch-size tactics, seasonal planning, dynamics and learning for various process flow topologies and for various market contexts.Technical RequirementsMicrosoft® Excel software is recommended for viewing the .xls files found on this course site. Free  Microsoft® Excel viewer software can also be used to view the .xls files.Microsoft® is a registered trademark

Subjects

manufacturing systems | manufacturing systems | supply chains | supply chains | material flow | material flow | information flow | information flow | capacities | capacities | flow times | flow times | Fundamental building blocks | Fundamental building blocks | inventory | inventory | queuing models | queuing models | forecasting | forecasting | uncertainty | uncertainty | optimization | optimization | process analysis | process analysis | linear systems | linear systems | system dynamics | system dynamics | Factory planning | Factory planning | flow planning | flow planning | bottleneck characterization | bottleneck characterization | buffer | buffer | batch-size tactics | batch-size tactics | seasonal planning | seasonal planning | process flow topologies | process flow topologies | market contexts | market contexts

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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16.810 Engineering Design and Rapid Prototyping (MIT) 16.810 Engineering Design and Rapid Prototyping (MIT)

Description

This course provides students with an opportunity to conceive, design and implement a product, using rapid protyping methods and computer-aid tools. The first of two phases challenges each student team to meet a set of design requirements and constraints for a structural component. A course of iteration, fabrication, and validation completes this manual design cycle. During the second phase, each team conducts design optimization using structural analysis software, with their phase one prototype as a baseline.AcknowledgmentsThis course is made possible thanks to a grant by the alumni sponsored Teaching and Education Enhancement Program (Class of '51 Fund for Excellence in Education, Class of '55 Fund for Excellence in Teaching, Class of '72 Fund for Educationa This course provides students with an opportunity to conceive, design and implement a product, using rapid protyping methods and computer-aid tools. The first of two phases challenges each student team to meet a set of design requirements and constraints for a structural component. A course of iteration, fabrication, and validation completes this manual design cycle. During the second phase, each team conducts design optimization using structural analysis software, with their phase one prototype as a baseline.AcknowledgmentsThis course is made possible thanks to a grant by the alumni sponsored Teaching and Education Enhancement Program (Class of '51 Fund for Excellence in Education, Class of '55 Fund for Excellence in Teaching, Class of '72 Fund for Educationa

Subjects

engineering design | engineering design | rapid prototyping | rapid prototyping | manufacturing | manufacturing | testing | testing | system components | system components | complex structural parts | complex structural parts | hand sketching | hand sketching | CAD | CAD | CAD modeling | CAD modeling | CAE | CAE | CAE analysis | CAE analysis | CAM programming | CAM programming | CNC | CNC | CNC machining | CNC machining | computer aided design | computer aided design | computer aided | computer aided | structual testing | structual testing | multiobjective design | multiobjective design | optimization | optimization | computational methods | computational methods | tools | tools | design process | design process | design competition | design competition | active learning | active learning | hands-on | hands-on | human creativity | human creativity | holistic | holistic | solidworks | solidworks | finite element | finite element | FEM | FEM | FEM analysis | FEM analysis | COSMOS | COSMOS | omax | omax | presentation | presentation | CDIO | CDIO

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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15.792J Proseminar in Manufacturing (MIT) 15.792J Proseminar in Manufacturing (MIT)

Description

This course provides an integrative forum for Operations and Manufacturing students and is the focus for projects in leadership, service, and improvement. It covers a set of integrative manufacturing topics or issues such as leadership and related topics, and includes presentations by guest speakers such as senior level managers of manufacturing companies. Subject is largely managed by students.This course is primarily for LFM Fellows and Operations and Manufacturing Track students. This course provides an integrative forum for Operations and Manufacturing students and is the focus for projects in leadership, service, and improvement. It covers a set of integrative manufacturing topics or issues such as leadership and related topics, and includes presentations by guest speakers such as senior level managers of manufacturing companies. Subject is largely managed by students.This course is primarily for LFM Fellows and Operations and Manufacturing Track students.

Subjects

leadership skills | leadership skills | improve the Boston | improve the Boston | MIT | MIT | Sloan or LFM communities applying leadership | Sloan or LFM communities applying leadership | management | management | and service skills | and service skills | public service | public service | improve the Boston | MIT | Sloan or LFM communities | improve the Boston | MIT | Sloan or LFM communities | leadership | management | and service skills | leadership | management | and service skills | operations | operations | manufacturing | manufacturing | 15.792 | 15.792 | 2.890 | 2.890 | 3.80 | 3.80 | 10.792 | 10.792 | 16.985 | 16.985

License

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16.852J Integrating The Lean Enterprise (MIT) 16.852J Integrating The Lean Enterprise (MIT)

Description

Addresses some of the important issues involved with the planning, development, and implementation of lean enterprises. People, technology, process, and management dimensions of an effective lean manufacturing company are considered in a unified framework. Particular emphasis on the integration of these dimensions across the entire enterprise, including product development, production, and the extended supply chain. Analysis tools as well as future trends and directions are explored. A key component of this subject is a team project. Addresses some of the important issues involved with the planning, development, and implementation of lean enterprises. People, technology, process, and management dimensions of an effective lean manufacturing company are considered in a unified framework. Particular emphasis on the integration of these dimensions across the entire enterprise, including product development, production, and the extended supply chain. Analysis tools as well as future trends and directions are explored. A key component of this subject is a team project.

Subjects

lean enterprise | lean enterprise | lean manufacturing | lean manufacturing | enterprise integration | enterprise integration | process management | process management | technology management | technology management | product development | product development | production | production | supply chain | supply chain | 16.852 | 16.852 | ESD.61 | ESD.61

License

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15.783J Product Design and Development (MIT) 15.783J Product Design and Development (MIT)

Description

Product Design and Development is a project-based course that covers modern tools and methods for product design and development. The cornerstone is a project in which teams of management, engineering, and industrial design students conceive, design and prototype a physical product. Class sessions are conducted in workshop mode and employ cases and hands-on exercises to reinforce the key ideas. Topics include identifying customer needs, concept generation, product architecture, industrial design, and design-for-manufacturing. Product Design and Development is a project-based course that covers modern tools and methods for product design and development. The cornerstone is a project in which teams of management, engineering, and industrial design students conceive, design and prototype a physical product. Class sessions are conducted in workshop mode and employ cases and hands-on exercises to reinforce the key ideas. Topics include identifying customer needs, concept generation, product architecture, industrial design, and design-for-manufacturing.

Subjects

Management | Management | product development | product development | research | industrial | research | industrial | marketing | marketing | commercial products | commercial products | design-for-manufacturing | design-for-manufacturing | concept design | concept design | product architecture | product architecture | concept generation | concept generation | product planning | product planning | 15.783 | 15.783 | 2.739 | 2.739 | ESD.32 | ESD.32

License

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16.810 Engineering Design and Rapid Prototyping (MIT) 16.810 Engineering Design and Rapid Prototyping (MIT)

Description

Includes audio/video content: AV special element video. This course provides students with an opportunity to conceive, design and implement a product, using rapid prototyping methods and computer-aid tools. The first of two phases challenges each student team to meet a set of design requirements and constraints for a structural component. A course of iteration, fabrication, and validation completes this manual design cycle. During the second phase, each team conducts design optimization using structural analysis software, with their phase one prototype as a baseline. Acknowledgements This course is made possible thanks to a grant by the alumni sponsored Teaching and Education Enhancement Program (Class of '51 Fund for Excellence in Education, Class of '55 Fund for Excellence in Teaching, Includes audio/video content: AV special element video. This course provides students with an opportunity to conceive, design and implement a product, using rapid prototyping methods and computer-aid tools. The first of two phases challenges each student team to meet a set of design requirements and constraints for a structural component. A course of iteration, fabrication, and validation completes this manual design cycle. During the second phase, each team conducts design optimization using structural analysis software, with their phase one prototype as a baseline. Acknowledgements This course is made possible thanks to a grant by the alumni sponsored Teaching and Education Enhancement Program (Class of '51 Fund for Excellence in Education, Class of '55 Fund for Excellence in Teaching,

Subjects

engineering design | engineering design | rapid prototyping | rapid prototyping | manufacturing | manufacturing | testing | testing | system components | system components | complex structural parts | complex structural parts | hand sketching | hand sketching | CAD | CAD | CAD modeling | CAD modeling | CAE | CAE | CAE analysis | CAE analysis | CAM programming | CAM programming | CNC | CNC | CNC machining | CNC machining | computer aided design | computer aided design | computer aided | computer aided | structual testing | structual testing | multiobjective design | multiobjective design | optimization | optimization | computational methods | computational methods | tools | tools | design process | design process | design competition | design competition | active learning | active learning | hands-on | hands-on | human creativity | human creativity | holistic | holistic | solidworks | solidworks | finite element | finite element | FEM | FEM | FEM analysis | FEM analysis | COSMOS | COSMOS | omax | omax | presentation | presentation | CDIO | CDIO

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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