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INTRODUCTION TO QUANTITATIVE METHODS
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activity analysis apply arrivals assigned attractive corner average backward induction basic mix Bayes decision rule calculated Chapter choice column consider constraint cost critical path cumulative probability decision maker decision tree diagram demand determine dollars dual dynamic programming equation evaluation event EVPI example expected payoff expected value exponential distribution Figure Flannel forecast gamble graph integer program involves labor linear program Maximize maximum mean method minimize minutes mixed strategy normal curve normal distribution number of customers obtained optimal solution order quantity outcomes payoff table perfect information PERT network player Poisson process possible posterior probability prior probabilities probability distribution procedure production provides queuing random numbers random variable Redwood Furniture problem represent result sample simplex tableau simulation slack variables solve stage standard deviation strategy surplus variables toss tree diagram UNIT PROFIT utility wood zero