Introduction to Management ScienceThis introduction to the often mathematically rigorous techniques and applications of management science is designed to make the subject accessible for students with no mathematical background or skills. It focuses on management science - not only as a collection of techniques and processes, but as a philosophy and method for approaching problems in a logical manner - as skill that is applicable across disciplines and endeavours, in all types of jobs and organizations. The author's perspective is contemporary, his approach hands-on, and his pedagogy abundant, supportive, and user-friendly for students and instructors alike. |
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AB:QM activity allocation analysis average Beaver Creek Pottery bowls branch and bound break-even carrying cost cell chapter coefficients Creek Pottery Company decision variables demand determine the number developed dynamic programming equation expected value exponential smoothing feasible solution area following linear programming forecast Formulate a linear goal programming graph increase integer inventory linear programming model linear programming problems machine Management Science Application management science techniques matrix maximize Z maximum minimize minimum model constraints month mugs node objective function operating optimal solution output p-chart payoff table personal computer pounds probability distribution production purchase QSB+ Quantity X1 X2 queuing random numbers reorder point requires S₁ s₂ safety stock sample shadow price shown in Figure simplex method simplex tableau simulation slack variables solution point Solve this model strategy surplus variable tion truck Variables Quantity X1 week x₁ x₂ zero