Courses tagged with "Nutrition" (468)
This Supply Chain Fundamentals course is part of the MITx MicroMasters Credential in Supply Chain Management, offered by #1 ranked SCM Master's program at the Massachusetts Institute of Technology.
The CTL.SC1x Supply Chain Fundamentals course provides the foundational skills for supply chain management and logistics. You will learn how to develop and apply analytic tools, approaches, and techniques used 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 mathematical models to illustrate the underlying concepts involved in both intra- and inter-company logistics operations.
The main topic areas we will focus on this course are:
- Demand Forecasting, Planning, and Management
- Inventory Planning, Management, and Control
- Transportation Planning, Management, and Execution
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 study course, but rather an applied analytical course that addresses real problems found in practice.
MITx MicroMasters Credential in Supply Chain Management
The MITx MicroMasters Credential in Supply Chain Management is specifically designed and administered by MIT’s Center for Transportation & Logistics (CTL) to teach the critical skills needed to be successful in this exciting and growing field. In addition to being a standalone certificate demonstrating expertise in the field, students who complete all of the required courses and the final proctored exam will be qualified to apply to gain credit at MIT for the blended graduate master's degree program. In order to qualify for the MITx MicroMasters Credential in Supply Chain Management you need to earn a Verified Certificate in all of the required courses. When you register for a Verified Certificate you will also be granted access to additional practice problems, supplemental readings, and opportunities for increased interaction with the faculty and teaching staff.
To learn more about the MITx MicroMasters Credential in Supply Chain Management, please visit http://scm.mit.edu/micromasters
MITx requires individuals who enroll in its courses on edX to abide by the terms of the edX honor code. MITx will take appropriate corrective action in response to violations of the edX honor code, which may include dismissal from the MITx course; revocation of any certificates received for the MITx course; or other remedies as circumstances warrant. No refunds will be issued in the case of corrective action for such violations.
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.
Sustainability is a practice operating across a variety of scales and skills. We will explore the ways that decision makers use systems analysis and design thinking to confront the career-defining challenges facing the next generation of leaders. Networks of practice from across North America and around the globe will provide case material and guest lectures.
This course will cover the agricultural and urban water quality issues in Florida, their bases, land and nutrient management strategies, and the science and policy behind the best management practices (BMPs). Students will learn to evaluate BMP research and analyze its role in determining practices and policies that protect water quality.
Environmental sustainability has emerged as the imperative management undertaking for business sustainability in the face of rising global demand for natural resources and environment services and of environmental problems such as climate change. This course will examine how regulatory and...
15.874 and 15.871 provide an introduction to system dynamics modeling for the analysis of business policy and strategy. Students learn to visualize a business organization in terms of the structures and policies that create dynamics and regulate performance. The course uses role playing games, simulation models, and management flight simulators to develop principles for the successful management of complex strategies. Special emphasis will be placed on case studies of successful strategies using system dynamics.
15.874 is a full semester course and 15.871 is a half semester course. The two classes meet together and cover the same material for the first half of the term. In the second half of the semester, only 15.874 continues.
Continuation of 15.871, emphasizing tools and methods needed to apply systems thinking and simulation modeling successfully in complex real-world settings. Uses simulation models, management flight simulators, and case studies to deepen the conceptual and modeling skills introduced in 15.871. Through models and case studies of successful applications students learn how to use qualitative and quantitative data to formulate and test models, and how to work effectively with senior executives to implement change successfully.
Many books and thousands of papers cover the field of system dynamics. With all of these resources available, it can be difficult to know where to begin. The System Dynamics in Education Project at MIT put together these resources to help people sort through the vast library of books and papers on system dynamics. This course site includes a collection of papers and computer exercises entitled “Road Maps,” as well as a collection of assignments and solutions that were initially part of a guided study to system dynamics. Note that while the level of the course indicated in the upper right corner of the screen is "Undergraduate / Graduate," the material is suitable for people ranging from K-12 students to chief executives of corporations.
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.
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 decision support tool.