Editorial Review:
Master operations management with Schaum's, your high-performance study guide. Schaum's Outline of Operations Management will help you cut study time, hone problem-solving skills, and achieve your personal best on exams! If you don't have a lot of time but want to excel in class, this book helps you: Brush up before tests; Find answers fast; Study quickly and more effectively; Get the big picture without spending hours poring over lengthy textbooks. Schaum's Outlines give you the information your teachers expect you to know in a handy and succinct format--without overwhelming you with unnecessary details. You get a complete overview of the subject. Plus, you get plenty of practice exercises to test your skill. Compatible with any classroom text, Schaum's let you study at your own pace and remind you of all the important facts you need to remember--fast! And Schaum's are so complete, they're perfect for preparing for graduate or professional exams. Inside, you will find: - Coverage of all aspects of operations management
- Clear and simple explanations of operations management methods and math
- 397 fully solved problems, with step-by-step solutions
- Hundreds of additional practice problems, with answers supplied.
If you want top grades and thorough understanding of operations management, this powerful study tool is the best tutor you can have! Chapters include: Operations Management: Definition, Mission, and Productivity Concepts. Quality Management of Competitive Operations. Operations Decision Making (Break-Even Analysis, Decision Trees, and Statistical Methods). Forecasting (Statistical Methods). Financial Analysis for Operations (Present-Value Criteria). Facility Location (Transportation Linear Programming). Layout of Facilities (Line Balancing). Product Design: Goods and Services (Linear Programming). Process Planning and Analysis (Simulation). Job Design and Work Measurement (Statistical Sample Size). Aggregate Planning and Master Scheduling. Materials Management: Purchasing, Inventory, and JIT Systems (Calculus). Inventory Control: Order Points, Safety Stocks, and Service Levels (Statistical Methods). Material Requirements Planning: MRP and CRP. Operations Scheduling and Control (Assignment Linear Programming). Operations Analysis and Maintenance (Calculus, Learning Curves, Queuing, and Simulation). Project Management (CPM/PERT). Quality Control. Appendixes: Random Number Table, Areas under the Normal Probability Distribution, Binomial Distribution Values, Poisson Distribution Values, Present-Value Factors for Future Single Payments, Present-Value Factors for Annuities, Equations and Factors for 10 Percent Interest, Learning Curve Coefficients, Normally Distributed Random Numbers.
Cached date: AWS Called=true
You may also be interested in these products:
These categories may also be of interest to you:
Customer Reviews
Average Customer Rating: 
Schaum's Outline of Operations Management 2000-04-25
Professor Monks has done an excellent job of summarizing and giving worked out problems for a very useful field of industry that is often neglected in pure and applied mathematics. This neglect, especially at the pre-college level but also at higher levels, makes it harder for management and operations research college instructors to convey the quantitative methods to their students. These methods are fascinating and include statistical forecasting (with time series and exponential smoothing, correlation, regression), statistical quality control, production scheduling and control (linear programming, dynamic programming), manufacturing /service and maintenance (queuing theory, reliability, simulation, calculus), budgeting, inventory, etc. I recommend this book for everybody in business for themselves or for others and for students at all levels in order to tie in their studies more practically with the real economic world. In addition, the more people are familiar with the methods, the less employment mistakes will be made since so many of the methods interact with hiring, firing, temporary layoffs, etc. With more talent in the field, alternative methods can be developed and tried (for example, present theory assumes that a lot of things involve independent or non-influencing events, but a lot of events are very interdependent and the theory needs far more development there - see my review of Castillo).
|
|
