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15.762J Supply Chain Planning (MIT) 15.762J Supply Chain Planning (MIT)

Description

15.762J Supply Chain Planning focuses on effective supply chain strategies for companies that operate globally, with an emphasis on how to plan and integrate supply chain components into a coordinated system. Students are exposed to concepts and models important in supply chain planning with emphasis on key tradeoffs and phenomena. The course introduces and utilizes key tactics such as risk pooling and inventory placement, integrated planning and collaboration, and information sharing. Lectures, computer exercises, and case discussions introduce various models and methods for supply chain analysis and optimization. 15.762J Supply Chain Planning focuses on effective supply chain strategies for companies that operate globally, with an emphasis on how to plan and integrate supply chain components into a coordinated system. Students are exposed to concepts and models important in supply chain planning with emphasis on key tradeoffs and phenomena. The course introduces and utilizes key tactics such as risk pooling and inventory placement, integrated planning and collaboration, and information sharing. Lectures, computer exercises, and case discussions introduce various models and methods for supply chain analysis and optimization.

Subjects

15.762 | 15.762 | ESD.267 | ESD.267 | 1.273 | 1.273 | supply chain strategy | supply chain strategy | inventory models | inventory models | supply contracts | supply contracts | supply chain integration | supply chain integration | inventory systems | inventory systems | product design | product design | risk pooling | risk pooling | inventory placement | inventory placement

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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ESD.273J Logistics and Supply Chain Management (MIT) ESD.273J Logistics and Supply Chain Management (MIT)

Description

This course surveys operations research models and techniques developed for a variety of problems arising in logistical planning of multi-echelon systems. There is a focus on planning models for production/inventory/distribution strategies in general multi-echelon multi-item systems. Topics include vehicle routing problems, dynamic lot sizing inventory models, stochastic and deterministic multi-echelon inventory systems, the bullwhip effect, pricing models, and integration problems arising in supply chain management. Probability and linear programming experience required. This course surveys operations research models and techniques developed for a variety of problems arising in logistical planning of multi-echelon systems. There is a focus on planning models for production/inventory/distribution strategies in general multi-echelon multi-item systems. Topics include vehicle routing problems, dynamic lot sizing inventory models, stochastic and deterministic multi-echelon inventory systems, the bullwhip effect, pricing models, and integration problems arising in supply chain management. Probability and linear programming experience required.

Subjects

ESD.273 | ESD.273 | 1.270 | 1.270 | vehicle routing problems | vehicle routing problems | dynamic lot sizing inventory models | dynamic lot sizing inventory models | stochastic and deterministic multi-echelon inventory systems | stochastic and deterministic multi-echelon inventory systems | the bullwhip effect | the bullwhip effect | pricing models | pricing models | integration problems | integration problems

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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15.057 Systems Optimization (MIT) 15.057 Systems Optimization (MIT)

Description

Managers and engineers are constantly attempting to optimize, particularly in the design and operation of complex systems. This course is an application-oriented introduction to (systems) optimization. It seeks to: Motivate the use of optimization models to support managers and engineers in a wide variety of decision making situations; Show how several application domains (industries) use optimization; Introduce optimization modeling and solution techniques (including linear, non-linear, integer, and network optimization, and heuristic methods); Provide tools for interpreting and analyzing model-based solutions (sensitivity and post-optimality analysis, bounding techniques); and Develop the skills required to identify the opportunity and manage the implementation of an optimization-based Managers and engineers are constantly attempting to optimize, particularly in the design and operation of complex systems. This course is an application-oriented introduction to (systems) optimization. It seeks to: Motivate the use of optimization models to support managers and engineers in a wide variety of decision making situations; Show how several application domains (industries) use optimization; Introduce optimization modeling and solution techniques (including linear, non-linear, integer, and network optimization, and heuristic methods); Provide tools for interpreting and analyzing model-based solutions (sensitivity and post-optimality analysis, bounding techniques); and Develop the skills required to identify the opportunity and manage the implementation of an optimization-based

Subjects

system optimization | system optimization | distribution | distribution | production planning | production planning | supply chain managment | supply chain managment | scheduling | inventory | scheduling | inventory | scheduling | scheduling | inventory | inventory

License

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15.762J Supply Chain Planning (MIT)

Description

15.762J Supply Chain Planning focuses on effective supply chain strategies for companies that operate globally, with an emphasis on how to plan and integrate supply chain components into a coordinated system. Students are exposed to concepts and models important in supply chain planning with emphasis on key tradeoffs and phenomena. The course introduces and utilizes key tactics such as risk pooling and inventory placement, integrated planning and collaboration, and information sharing. Lectures, computer exercises, and case discussions introduce various models and methods for supply chain analysis and optimization.

Subjects

15.762 | ESD.267 | 1.273 | supply chain strategy | inventory models | supply contracts | supply chain integration | inventory systems | product design | risk pooling | inventory placement

License

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Remote-controlled model helicopter - Pennsylvania Remote-controlled model helicopter - Pennsylvania

Description

Subjects

pennsylvania | pennsylvania | models | models | inventions | inventions | helicopters | helicopters | remotecontrol | remotecontrol | inventors | inventors | paoli | paoli

License

No known copyright restrictions

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15.761 Operations Management (MIT) 15.761 Operations Management (MIT)

Description

This course will introduce concepts and techniques for design, planning and control of manufacturing and service operations. The course provides basic definitions of operations management terms, tools and techniques for analyzing operations, and strategic context for making operational decisions. We present the material in five modules: Operations Analysis Coordination and Planning Quality Management Project Management Logistics and Supply Chain Management This course will introduce concepts and techniques for design, planning and control of manufacturing and service operations. The course provides basic definitions of operations management terms, tools and techniques for analyzing operations, and strategic context for making operational decisions. We present the material in five modules: Operations Analysis Coordination and Planning Quality Management Project Management Logistics and Supply Chain Management

Subjects

manufacturing | manufacturing | service | service | analyzing operations | analyzing operations | operational decisions | operational decisions | operations analysis | operations analysis | quality management | quality management | project management | project management | logistics | logistics | supply chain management | supply chain management | job shop operations | job shop operations | process matching | process matching | queuing | queuing | forecasting | forecasting | queueing | queueing | analysis | analysis | analyzing | analyzing | operations | operations | coordination | coordination | planning | planning | quality | quality | project | project | management | management | supply chain | supply chain | job shop | job shop | decisions | decisions | decision making | decision making | operational | operational | design | design | control | control | materials | materials | production | production | scheduling | scheduling | reengineering | reengineering | capacity | capacity | facilities | facilities | strategy | strategy | process | process | processes | processes | matching | matching | inventory | inventory | vendor | vendor | customer | customer

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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15.070J Advanced Stochastic Processes (MIT) 15.070J Advanced Stochastic Processes (MIT)

Description

This class covers the analysis and modeling of stochastic processes. Topics include measure theoretic probability, martingales, filtration, and stopping theorems, elements of large deviations theory, Brownian motion and reflected Brownian motion, stochastic integration and Ito calculus and functional limit theorems. In addition, the class will go over some applications to finance theory, insurance, queueing and inventory models. This class covers the analysis and modeling of stochastic processes. Topics include measure theoretic probability, martingales, filtration, and stopping theorems, elements of large deviations theory, Brownian motion and reflected Brownian motion, stochastic integration and Ito calculus and functional limit theorems. In addition, the class will go over some applications to finance theory, insurance, queueing and inventory models.

Subjects

analysis | analysis | modeling | modeling | stochastic processes | stochastic processes | theoretic probability | theoretic probability | martingales | martingales | filtration | filtration | stopping theorems | stopping theorems | large deviations theory | large deviations theory | Brownian motion | Brownian motion | reflected Brownian motion | reflected Brownian motion | stochastic integration | stochastic integration | Ito calculus | Ito calculus | functional limit theorems | functional limit theorems | applications | applications | finance theory | finance theory | insurance | insurance | queueing | queueing | inventory models | inventory models

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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11.304J Site and Infrastructure Systems Planning (MIT) 11.304J Site and Infrastructure Systems Planning (MIT)

Description

This course is a client-based land analysis and site planning project. The primary focus of the course changes from year to year. This year the focus is on Japan's New Towns. Students will review land inventory, analysis, and planning of sites and the infrastructure systems that serve them. They will also examine spatial organization of uses, parcelization, design of roadways, grading, utility systems, stormwater runoff, parking, traffic and off-site impacts, as well as landscaping. Lectures will cover analytical techniques and examples of good site-planning practice. Requirements include a series of assignments and a client-based project. This course is a client-based land analysis and site planning project. The primary focus of the course changes from year to year. This year the focus is on Japan's New Towns. Students will review land inventory, analysis, and planning of sites and the infrastructure systems that serve them. They will also examine spatial organization of uses, parcelization, design of roadways, grading, utility systems, stormwater runoff, parking, traffic and off-site impacts, as well as landscaping. Lectures will cover analytical techniques and examples of good site-planning practice. Requirements include a series of assignments and a client-based project.

Subjects

site planning | site planning | tama new town | tama new town | japan | japan | site analysis | site analysis | grading principles | grading principles | landscape planning | landscape planning | site inventory and evaluation | site inventory and evaluation | earthwork | earthwork | soils | soils | hydrology | hydrology | storm water | storm water | drainage basins | drainage basins | wetlands | wetlands | water features | water features | development layout | development layout | topography | topography | land use standard | land use standard | streets | streets | planning studio | planning studio

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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Furnishings and Domestic Culture in early Modern England

Description

A seminar presentation on doctoral research, employing probate inventories for the Oxfordshire market town of Thame in the 17th century. A presentation of doctoral research to the Archaeology and Local History seminar series at Kellogg College in November 2011, outlining theoretical and methodological approaches to the interpretation of probate inventories and other contemporary evidence in order to describe the experience of essentially non-elite daily life in the early modern period, and the changes in domestic culture which indicate wider shifts in modes of consumption and social relationships. The research also aimed to develop a better understanding of the operation of domestic culture; an interrelationship of material, social and conceptual elements. Wales; http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

Subjects

material culture | domestic culture | england | furnishings | probate inventories | early modern | Oxfordshire | material culture | domestic culture | england | furnishings | probate inventories | early modern | Oxfordshire

License

http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

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ESD.260J Logistics Systems (MIT) ESD.260J Logistics Systems (MIT)

Description

This course is a survey of analytic tools, approaches, and techniques which are useful in the design and operation of logistics systems and integrated supply chains. The material is taught from a managerial perspective, with an emphasis on where and how specific tools can be used to improve the overall performance and reduce the total cost of a supply chain. There is a strong emphasis on the development and use of fundamental models to illustrate the underlying concepts involved in both intra- and inter-company logistics operations. The following topics are covered: demand forecasting tools, inventory control algorithms, transportation operations and management, vehicle routing, scheduling, fleet dispatching algorithms and approaches, optimization of transportation carrier operations, supp This course is a survey of analytic tools, approaches, and techniques which are useful in the design and operation of logistics systems and integrated supply chains. The material is taught from a managerial perspective, with an emphasis on where and how specific tools can be used to improve the overall performance and reduce the total cost of a supply chain. There is a strong emphasis on the development and use of fundamental models to illustrate the underlying concepts involved in both intra- and inter-company logistics operations. The following topics are covered: demand forecasting tools, inventory control algorithms, transportation operations and management, vehicle routing, scheduling, fleet dispatching algorithms and approaches, optimization of transportation carrier operations, supp

Subjects

Logistics systems | Logistics systems | Supply chain management | Supply chain management | Demand planning | Demand planning | Procurement | Procurement | Inventory | Inventory | Transportation planning | Transportation planning | Reverse logistics | Reverse logistics | Flexible contracting | Flexible contracting | Postponement | Postponement | Portfolio management | Portfolio management | Dual sourcing | Dual sourcing | demand forecasting tools | demand forecasting tools | inventory control algorithms | inventory control algorithms | transportation operations | transportation operations | vehicle routing | vehicle routing | scheduling | scheduling | fleet dispatching algorithms | fleet dispatching algorithms | optimization | optimization | transportation carrier operations | transportation carrier operations | supply chain network design | supply chain network design | procurement | procurement | sourcing | sourcing | auctions | auctions | supply contracts | supply contracts | collaboration | collaboration | supply chain uncertainty | supply chain uncertainty | ESD.260 | ESD.260 | 1.260 | 1.260 | 15.770 | 15.770

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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15.761 Introduction to Operations Management (MIT) 15.761 Introduction to Operations Management (MIT)

Description

This course provides students with concepts, techniques and tools to design, analyze, and improve core operational capabilities, and apply them to a broad range of application domains and industries. It emphasizes the effect of uncertainty in decision-making, as well as the interplay between high-level financial objectives and operational capabilities. Topics covered include production control, risk pooling, quality management, process design, and revenue management. Also included are case studies, guest lectures, and simulation games which demonstrate central concepts. This course provides students with concepts, techniques and tools to design, analyze, and improve core operational capabilities, and apply them to a broad range of application domains and industries. It emphasizes the effect of uncertainty in decision-making, as well as the interplay between high-level financial objectives and operational capabilities. Topics covered include production control, risk pooling, quality management, process design, and revenue management. Also included are case studies, guest lectures, and simulation games which demonstrate central concepts.

Subjects

process analysis | process analysis | capacity analysis | capacity analysis | innovation | innovation | inventory management | inventory management | production | production | supply chain design | supply chain design | sustainability | sustainability | operational risk | operational risk | quality management | quality management | revenue management | revenue management | pricing | pricing | queuing | queuing | process re-engineering | process re-engineering | Toyota | Toyota | Amazon | Amazon | CVS | CVS | McDonald's | McDonald's | Burger King | Burger King | Hewlett-Packard | Hewlett-Packard | Sport Obermeyer | Sport Obermeyer | Walmart | Walmart

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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21W.730-2 The Creative Spark (MIT) 21W.730-2 The Creative Spark (MIT)

Description

"Creative activity (isn't) the icing on the cake. Human creativity is the cake." (Jerry Hirschberg) Creativity - "the mastery of information and skills in the service of dreams" (Hirschberg) - is much prized in the arts, science, business and the classroom. What does the creative process look like? Under what conditions does it flourish - what ignites the creative spark? Attempting to answer these questions, this class explores ways creativity has been understood in Western culture: what we prize and fear about creativity and its wellsprings; how writers, artists, scientists and inventors have described their own creative processes; how psychologists and philosophers have theorized it; ways in which creativity has been represented in Western culture, particularly "Creative activity (isn't) the icing on the cake. Human creativity is the cake." (Jerry Hirschberg) Creativity - "the mastery of information and skills in the service of dreams" (Hirschberg) - is much prized in the arts, science, business and the classroom. What does the creative process look like? Under what conditions does it flourish - what ignites the creative spark? Attempting to answer these questions, this class explores ways creativity has been understood in Western culture: what we prize and fear about creativity and its wellsprings; how writers, artists, scientists and inventors have described their own creative processes; how psychologists and philosophers have theorized it; ways in which creativity has been represented in Western culture, particularly

Subjects

Creativity | Creativity | mastery | mastery | information | information | skills | skills | dreams | dreams | creative process | creative process | creative spark | creative spark | writing | writing | communication | communication | Western culture | Western culture | writers | writers | artists | artists | scientists | scientists | inventors | inventors | psychologists | psychologists | philosophers | philosophers | Twentieth century | Twentieth century | films | films | everyday life | everyday life | Rollo May | Rollo May | Joan Didion | Joan Didion | John Updike | John Updike | Alice Walker | Alice Walker | Oliver Sacks | Oliver Sacks | Paul Taylor | Paul Taylor | Maya Lin | Maya Lin | Dave Brubeck | Dave Brubeck | journals | journals

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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15.772J D-Lab: Supply Chains (MIT) 15.772J D-Lab: Supply Chains (MIT)

Description

This course introduces concepts of supply chain design and operations with a focus on supply chains for products destined to improve quality of life in developing countries. Topics include demand estimation, capacity planning and process analysis, inventory management, and supply chain coordination and performance. We also cover issues specific to emerging markets, such as sustainable supply chains, how to couple product design with supply chain design and operation, and how to account for the value-adding role of a supply chain. A major aspect of class is the student projects on supply chain design or improvement. This course introduces concepts of supply chain design and operations with a focus on supply chains for products destined to improve quality of life in developing countries. Topics include demand estimation, capacity planning and process analysis, inventory management, and supply chain coordination and performance. We also cover issues specific to emerging markets, such as sustainable supply chains, how to couple product design with supply chain design and operation, and how to account for the value-adding role of a supply chain. A major aspect of class is the student projects on supply chain design or improvement.

Subjects

15.772 | 15.772 | EC.733 | EC.733 | supply chains | supply chains | supply chain design | supply chain design | developing countries | developing countries | developing economies | developing economies | improving quality of life | improving quality of life | demand estimation | demand estimation | facility location | facility location | operation planning | operation planning | inventory management | inventory management | supply chain coordination and performance | supply chain coordination and performance

License

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6.931 Development of Inventions and Creative Ideas (MIT) 6.931 Development of Inventions and Creative Ideas (MIT)

Description

This course examines the role of the engineer as patent expert and as technical witness in court and patent interference and related proceedings. It discusses the rights and obligations of engineers in connection with educational institutions, government, and large and small businesses. It compares various manners of transplanting inventions into business operations, including development of New England and other U.S. electronics and biotechnology industries and their different types of institutions. The course also considers American systems of incentive to creativity apart from the patent laws in the atomic energy and space fields. Acknowledgment The instructors would like to thank Joanne Rines and Elijah Ercolino for their efforts in preparing this course. This course examines the role of the engineer as patent expert and as technical witness in court and patent interference and related proceedings. It discusses the rights and obligations of engineers in connection with educational institutions, government, and large and small businesses. It compares various manners of transplanting inventions into business operations, including development of New England and other U.S. electronics and biotechnology industries and their different types of institutions. The course also considers American systems of incentive to creativity apart from the patent laws in the atomic energy and space fields. Acknowledgment The instructors would like to thank Joanne Rines and Elijah Ercolino for their efforts in preparing this course.

Subjects

patents | patents | inventions | inventions | United States | United States | Alexander Graham Bell | Alexander Graham Bell | telephone patent | telephone patent | innovation | innovation | inventors | inventors | rights | rights | law | law | courts | courts | modernization | modernization | ideas | ideas | creativity | creativity | original | original | American Telephone and Telegraph Company | American Telephone and Telegraph Company | Congress | Congress | Constitution | Constitution | Patent Act | Patent Act | Thomas Edison | Thomas Edison

License

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ESD.260J Logistics Systems (MIT) ESD.260J Logistics Systems (MIT)

Description

This subject is a survey of the fundamental analytic tools, approaches, and techniques which are useful in the design and operation of logistics systems and integrated supply chains. The material is taught from a managerial perspective, with an emphasis on where and how specific tools can be used to improve the overall performance and reduce the total cost of a supply chain. We place a strong emphasis on the development and use of fundamental models to illustrate the underlying concepts involved in both intra and inter-company logistics operations. While our main objective is to develop and use models to help us analyze these situations, we will make heavy use of examples from industry to provide illustrations of the concepts in practice. This is neither a purely theoretical nor a case stu This subject is a survey of the fundamental analytic tools, approaches, and techniques which are useful in the design and operation of logistics systems and integrated supply chains. The material is taught from a managerial perspective, with an emphasis on where and how specific tools can be used to improve the overall performance and reduce the total cost of a supply chain. We place a strong emphasis on the development and use of fundamental models to illustrate the underlying concepts involved in both intra and inter-company logistics operations. While our main objective is to develop and use models to help us analyze these situations, we will make heavy use of examples from industry to provide illustrations of the concepts in practice. This is neither a purely theoretical nor a case stu

Subjects

ESD.260 | ESD.260 | 1.260 | 1.260 | 15.770 | 15.770 | logistics systems | logistics systems | supply chain management | supply chain management | demand planning | demand planning | procurement | procurement | inventory | inventory | transportation planning | transportation planning | reverse logistics | reverse logistics | flexible contracting | flexible contracting | postponement | postponement | portfolio management | portfolio management | dual sourcing | dual sourcing

License

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15.763J Manufacturing System and Supply Chain Design (MIT) 15.763J Manufacturing System and Supply Chain Design (MIT)

Description

15.763J focuses on decision making for system design, as it arises in manufacturing systems and supply chains. Students are exposed to frameworks and models for structuring the key issues and trade-offs. The class presents and discusses new opportunities, issues and concepts introduced by the internet and e-commerce. It also introduces various models, methods and software tools for logistics network design, capacity planning and flexibility, make-buy, and integration with product development. Industry applications and cases illustrate concepts and challenges. The class is recommended for anyone concentrating in Operations Management, and is a second half-term subject. 15.763J focuses on decision making for system design, as it arises in manufacturing systems and supply chains. Students are exposed to frameworks and models for structuring the key issues and trade-offs. The class presents and discusses new opportunities, issues and concepts introduced by the internet and e-commerce. It also introduces various models, methods and software tools for logistics network design, capacity planning and flexibility, make-buy, and integration with product development. Industry applications and cases illustrate concepts and challenges. The class is recommended for anyone concentrating in Operations Management, and is a second half-term subject.

Subjects

15.763 | 15.763 | 1.274 | 1.274 | ESD.268 | ESD.268 | supply chain strategies | supply chain strategies | companies | companies | supply chain components | supply chain components | concepts and models | concepts and models | key tradeoffs and phenomena | key tradeoffs and phenomena | risk pooling and inventory placement | risk pooling and inventory placement | integrated planning and collaboration | integrated planning and collaboration | information sharing | information sharing | supply chain analysis and optimization | supply chain analysis and optimization

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

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15.057 Systems Optimization (MIT)

Description

Managers and engineers are constantly attempting to optimize, particularly in the design and operation of complex systems. This course is an application-oriented introduction to (systems) optimization. It seeks to: Motivate the use of optimization models to support managers and engineers in a wide variety of decision making situations; Show how several application domains (industries) use optimization; Introduce optimization modeling and solution techniques (including linear, non-linear, integer, and network optimization, and heuristic methods); Provide tools for interpreting and analyzing model-based solutions (sensitivity and post-optimality analysis, bounding techniques); and Develop the skills required to identify the opportunity and manage the implementation of an optimization-based

Subjects

system optimization | distribution | production planning | supply chain managment | scheduling | inventory | scheduling | inventory

License

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15.511 Financial Accounting (MIT) 15.511 Financial Accounting (MIT)

Description

This six-week summer course teaches basic concepts of corporate financial accounting and reporting. This information is widely used in making investment decisions, corporate and managerial performance assessment, and valuation of firms. Students perform economics-based analysis of accounting information from the viewpoint of the users of accounting information (especially senior managers) rather than the preparer (the accountant). This course is restricted to MIT Sloan Fellows in Innovation and Global Leadership. This six-week summer course teaches basic concepts of corporate financial accounting and reporting. This information is widely used in making investment decisions, corporate and managerial performance assessment, and valuation of firms. Students perform economics-based analysis of accounting information from the viewpoint of the users of accounting information (especially senior managers) rather than the preparer (the accountant). This course is restricted to MIT Sloan Fellows in Innovation and Global Leadership.

Subjects

financial accounting | financial accounting | analyzing financial statements | analyzing financial statements | measuring corporate performance | measuring corporate performance | making business decisions | making business decisions | valuing companies | valuing companies | corporate finance | corporate finance | business economics | business economics | cash flow discounting | cash flow discounting | risk | risk | valuation | valuation | balance sheet | balance sheet | income statement | income statement | accounting process | accounting process | statement of cash flows | statement of cash flows | receivables | receivables | revenue recognition | revenue recognition | inventories | inventories | liabilities | liabilities | contingencies | contingencies | debt | debt | taxes | taxes | investments | investments | financial bookkeeping | financial bookkeeping | assets | assets | stockholder equity | stockholder equity

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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15.764 The Theory of Operations Management (MIT) 15.764 The Theory of Operations Management (MIT)

Description

The doctoral seminar 15.764 focuses on theoretical work for studying operations planning and control problems. This term's special topic, "Customer-Driven Operations," considers how a number of companies have succeeded in focusing their operation systems on the customer. The class reviews the quantitative models and theoretical tools underlying some of the customer-driven operational practices of these cutting-edge companies. Students will read and present research papers on topics such as distribution systems, short life-cycle product management, and forecast evolution models. This MIT OpenCourseWare site is dedicated to the memory of Bhuwan Singh, a member of the class. The doctoral seminar 15.764 focuses on theoretical work for studying operations planning and control problems. This term's special topic, "Customer-Driven Operations," considers how a number of companies have succeeded in focusing their operation systems on the customer. The class reviews the quantitative models and theoretical tools underlying some of the customer-driven operational practices of these cutting-edge companies. Students will read and present research papers on topics such as distribution systems, short life-cycle product management, and forecast evolution models. This MIT OpenCourseWare site is dedicated to the memory of Bhuwan Singh, a member of the class.

Subjects

operations management | operations management | customer-focused operation systems | customer-focused operation systems | customer focus | customer focus | direct-to-consumer business model | direct-to-consumer business model | life-cycle management | life-cycle management | customer-driven operations | customer-driven operations | operational practices | operational practices | distribution systems | distribution systems | customer choice models | customer choice models | assemble-to-order production systems | assemble-to-order production systems | customer service centers | customer service centers | forecast evolution models | forecast evolution models | warehouse systems | warehouse systems | inventory policies | inventory policies | procurement | procurement | managing customer relationships | managing customer relationships | consumer behavior | consumer behavior | short life-cycle production management | short life-cycle production management

License

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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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15.628J Patents, Copyrights, and the Law of Intellectual Property (MIT) 15.628J Patents, Copyrights, and the Law of Intellectual Property (MIT)

Description

This course is an intensive introduction to the U.S. law of intellectual property with major emphasis on patents, including what can be patented, the process of patent application, and the remedies for patent infringement. This course is an intensive introduction to the U.S. law of intellectual property with major emphasis on patents, including what can be patented, the process of patent application, and the remedies for patent infringement.

Subjects

patent | patent | patent law | patent law | copyright | copyright | law | law | intellectual property | intellectual property | trade secret | trade secret | trademark | trademark | licensing | licensing | fair use | fair use | infringement | infringement | plagiarism | plagiarism | non-competition | non-competition | inventor | inventor | invention | invention | novelty | novelty | non-obviousness | non-obviousness | claims | claims | litigation | litigation

License

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15.070 Advanced Stochastic Processes (MIT) 15.070 Advanced Stochastic Processes (MIT)

Description

The class covers the analysis and modeling of stochastic processes. Topics include measure theoretic probability, martingales, filtration, and stopping theorems, elements of large deviations theory, Brownian motion and reflected Brownian motion, stochastic integration and Ito calculus and functional limit theorems. In addition, the class will go over some applications to finance theory, insurance, queueing and inventory models. The class covers the analysis and modeling of stochastic processes. Topics include measure theoretic probability, martingales, filtration, and stopping theorems, elements of large deviations theory, Brownian motion and reflected Brownian motion, stochastic integration and Ito calculus and functional limit theorems. In addition, the class will go over some applications to finance theory, insurance, queueing and inventory models.

Subjects

analysis | analysis | modeling | modeling | stochastic processes | stochastic processes | theoretic probability | theoretic probability | martingales | martingales | filtration | filtration | stopping theorems | stopping theorems | large deviations theory | large deviations theory | Brownian motion | Brownian motion | reflected Brownian motion | reflected Brownian motion | stochastic integration | stochastic integration | Ito calculus | Ito calculus | functional limit theorems | functional limit theorems | applications | applications | finance theory | finance theory | insurance | insurance | queueing | queueing | inventory models | inventory models

License

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