## Introduction to decision science |

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### Contents

Preface | 1 |

BREAKEVEN AND OPTIMIZATION ANALYSIS | 24 |

DECISION THEORY | 41 |

Copyright | |

22 other sections not shown

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### Common terms and phrases

activity alternative analyze area of feasible artificial variable assembly line assignment assumed Blacksburg break-even bushel carrying cost coefficients complete constraints criterion critical path customers decision analysis decision maker decision problem decision science decision scientists decision variables demand derivative empty cells equation event example expected loss expected profit feasible solution firm Formulate a linear game theory goal programming model illustrated initial solution inventory level inventory model investment iso-profit function key column key row linear programming model linear programming problem maximize maximum minimize minimum mixed strategies objective function opportunity cost optimization optimum solution overtime operation parameters payoff matrix percent plant player probability distribution procedure production capacity queueing theory random variables relationship selects strategy server shown in Figure simplex method simplex solution simplex tableau simulation slack variables slope solve Table techniques total cost total profit unit profit waiting-line week zero