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Author: University of Michigan. College of Engineering Publisher: ISBN: Category : Catalogs, College Languages : en Pages : 260
Book Description
Also contains brochures, directories, manuals, and programs from various College of Engineering student organizations such as the Society of Women Engineers and Tau Beta Pi.
Author: University of Michigan. College of Engineering Publisher: ISBN: Category : Catalogs, College Languages : en Pages : 260
Book Description
Also contains brochures, directories, manuals, and programs from various College of Engineering student organizations such as the Society of Women Engineers and Tau Beta Pi.
Author: Joaquim R. R. A. Martins Publisher: Cambridge University Press ISBN: 110898861X Category : Mathematics Languages : en Pages : 653
Book Description
Based on course-tested material, this rigorous yet accessible graduate textbook covers both fundamental and advanced optimization theory and algorithms. It covers a wide range of numerical methods and topics, including both gradient-based and gradient-free algorithms, multidisciplinary design optimization, and uncertainty, with instruction on how to determine which algorithm should be used for a given application. It also provides an overview of models and how to prepare them for use with numerical optimization, including derivative computation. Over 400 high-quality visualizations and numerous examples facilitate understanding of the theory, and practical tips address common issues encountered in practical engineering design optimization and how to address them. Numerous end-of-chapter homework problems, progressing in difficulty, help put knowledge into practice. Accompanied online by a solutions manual for instructors and source code for problems, this is ideal for a one- or two-semester graduate course on optimization in aerospace, civil, mechanical, electrical, and chemical engineering departments.
Author: Mark S. Daskin Publisher: John Wiley & Sons ISBN: 0470877863 Category : Mathematics Languages : en Pages : 628
Book Description
A comprehensive treatment on the use of quantitative modeling for decision making and best practices in the service industries Making up a significant part of the world economy, the service sector is a rapidly evolving field that is relied on to dictate the public's satisfaction and success in various areas of everyday life, from banking and communications to education and healthcare. Service Science provides managers and students of the service industries with the quantitative skills necessary to model key decisions and performance metrics associated with services, including the management of resources, distribution of goods and services to customers, and the analysis and design of queueing systems. The book begins with a brief introduction to the service sector followed by an introduction to optimization and queueing modeling, providing the methodological background needed to analyze service systems. Subsequent chapters present specific topics within service operations management, including: Location modeling and districting Resource allocation problems Short- and long-term workforce management Priority services, call center design, and customer scheduling Inventory modeling Vehicle routing The author's own specialized software packages for location modeling, network optimization, and time-dependent queueing are utilized throughout the book, showing readers how to solve a variety of problems associated with service industries. These programs are freely available on the book's related web site along with detailed appendices and online spreadsheets that accompany the book's "How to Do It in Excel" sections, allowing readers to work hands-on with the presented techniques. Extensively class-tested to ensure a comprehensive presentation, Service Science is an excellent book for industrial engineering and management courses on service operations at the upper-undergraduate and graduate levels. The book also serves as a reference for researchers in the fields of business, management science, operations research, engineering, and economics. This book was named the 2010 Joint Publishers Book of the Year by the Institute of Industrial Engineers.
Author: Jeffrey K. Liker Publisher: McGraw Hill Professional ISBN: 9780071509947 Category : Business & Economics Languages : en Pages : 240
Book Description
Toyota doesn't just produce cars; it produces talented people. In the international bestseller, The Toyota Way, Jeffrey Liker explained Toyota's remarkable success through a 4P model for excellence-Philosophy, People, Problem Solving, and Process. Liker, with coauthor David Meier, provided deeper insight into the practical application of the principles in The Toyota Way Fieldbook. Now, these authorities on Toyota reveal how you can develop talented people and achieve incredible results in your company. Toyota Talent walks you through the rigorous methodology used by this global powerhouse to grow high-performing individuals from within. Beginning with a review of Toyota's landmark approach to developing people, the authors illustrate the critical importance of creating a learning and teaching culture in your organization. They provide specific examples necessary to train employees in all areas-from the shop floor to engineering to staff members in service organizations-and show you how to support and encourage every individual to reach his or her top potential. Toyota Talent provides you with the inside knowledge you need to Identify your development needs and create a training plan Understand the various types of work and how to break complicated jobs into teachable skills Set behavioral expectations by properly preparing your workplace Recognize and develop potential trainers within your workforce Effectively educate nonmanufacturing employees and members of the staff Develop internal Lean Manufacturing experts Guiding you with expert tips and training aids, as well as real-world examples drawn from the authors' two decades of research and field work, Liker and Meier show you how to get the most out of people who live and breathe your company's philosophy-and who work together toward a common goal.
Author: Mark S. Daskin Publisher: Springer Nature ISBN: 3031024931 Category : Business & Economics Languages : en Pages : 181
Book Description
This text is an introduction to Operations Management. Three themes are woven throughout the book: optimization or trying to do the best we can, managing tradeoffs between conflicting objectives, and dealing with uncertainty. After a brief introduction, the text reviews the fundamentals of probability including commonly used discrete and continuous distributions and functions of a random variable. The next major section, beginning in Chapter 7, examines optimization. The key fundamentals of optimization—inputs, decision variables, objective(s), and constraints—are introduced. Optimization is applied to linear regression, basic inventory modeling, and the newsvendor problem, which incorporates uncertain demand. Linear programming is then introduced. We show that the newsvendor problem can be cast as a network flow linear programming problem. Linear programming is then applied to the problem of redistributing empty rental vehicles (e.g., bicycles) at the end of a day and the problem of assigning students to seminars. Several chapters deal with location models as examples of both simple optimization problems and integer programming problems. The next major section focuses on queueing theory including single-and multi-server queues. This section also introduces a numerical method for solving for key performance metrics for a common class of queueing problems as well as simulation modeling. Finally, the text ends with a discussion of decision theory that again integrates notions of optimization, tradeoffs, and uncertainty analysis. The text is designed for anyone with a modest mathematical background. As such, it should be readily accessible to engineering students, economics, statistics, and mathematics majors, as well as many business students.
Author: University of Michigan. College of Engineering
Author: University of Michigan. College of Engineering
Author: University of Michigan. College of Engineering
Author: Joaquim R. R. A. Martins
Author: 
Author: University of Michigan
Author: Mark S. Daskin
Author: 
Author: 
Author: Jeffrey K. Liker
Author: Mark S. Daskin