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.

15.768 Management of Services: Concepts, Design, and Delivery explores the use of operations tools and perspectives in the service sector, including both for-profit and not-for-profit organizations. The course builds on conceptual frameworks and cases from a wide range of service operations, selected from health care, hospitality, internet services, supply chain, transportation, retailing, food service, entertainment, financial services, humanitarian services, government services, and others.

15.317 Organizational Leadership and Change focuses on practical experience that blends theory and practice. Students reflect on prior leadership experiences and then apply lessons learned to further develop their leadership capabilities. The course requires active participation in all leadership classes and/or activities as well as short deliverables throughout the program.

This seminar will explore the purposes and development of Technology Roadmaps for systematically mapping out possible development paths for various technological domains and the industries that build on them. Data of importance for such roadmaps include rates of innovation, key bottlenecks, physical limitations, improvement trendlines, corporate intent, and value chain and industry evolutionary paths. The course will build on ongoing work on the MIT Communications Technology Roadmap project, but will explore other domains selected from Nanotechnology, Bio-informatics, Geno/Proteino/Celleomics, Neurotechnology, Imaging & Diagnostics, etc. Thesis and Special Project opportunities will be offered.

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.

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.

Additional practice problems related to Levels of Measurement.

*Supplemental resource to A.Holmes derivative statistics text.*

Additional practice problems related to tests of two independent population variances.

*Supplemental resource to A.Holmes derivative statistics text including adapted and revised problems.*

Introduction to the calculation of weighted means including demonstration and practice problems.

*Supplemental materials to A.Holmes derivative text.*

Material includes problems to help practice the mechanics of calculating the standard deviation for sets of population and sample data.

*Supplemental materials to A.Holmes derivative text.*

A summary description of Chebyshev's Theorem and the Empirical Rule including demonstration and practice problems.

*Supplemental Resource to A.Holmes Derivative Statistics Text.*

An introduction to Pearson's Coefficient of Skewness including demonstration and practice problems.

*Supplemental resource to A.Holmes derivative text.*

Additional practice problems related to Measures of Location: Quartiles, Percentiles, & IQR Values.

Includes demonstration of MS Excel commands.

*(2.2) Supplemental resource to A.Holmes derivative statistics text.*

Calculation of a mean and variance for discrete random variables.

*(4.0) Supplemental resource to A.Holmes derivative text.*

Calculation of Binomial Probabilities using MS Excel.

*(4.2) Supplemental resource to A.Holmes derivative text.*

Additional demonstration and practice problems related to the Central Limit Theorem.

*Supplemental Resource to A.Holmes Derivative Statistics Text.*