Quantitative Survival Guide for Operations Management to accompany Operations Management, 2nd Edition
This Quantitative Survival Guide for Operations Management comes from a desire to help students understand and succeed when faced with the quantitative portions of a course in Operations Management. If you have struggled with math and statistics in earlier courses, this is the guide for you! This supplement gives examples of the types of problems that a student will encounter in a typical Operations Management textbook. The first section reviews some basics of algebra and pre-algebra. Each of the following sections reviews quantitative material by topic covered in an Operations Management course.
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activity allowance factor based annual demand average number center line center of gravity choose decision Consider the following Control Charts control limit UCL coordinate of location current period DandE 20 Economic Order Quantity Economic Production Quantity equation example expected payoff expected return expected value exponentially smoothed forecast for month holding cost linear regression Load Distance Model load distance score lower control limit Maximax maximum payout Mean Observed Mean x-bar method or criterion Month Actual Sales normal distribution number of customers number of observations number of stations occurring and event occurs when decision Operations Management ordering cost p-chart pair of departments payoff if event perfect information Prob probability of occurring process capability index Quantity EOQ random variable rectilinear distance reliability of component sample seconds/unit Simple Moving Average standard deviation Suppose textbook total cost Unit units/day upper control limit value for decision variance wish to determine