Transcription of Linear Programming
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Linear Programming
The Role of Mathematical Models in OperationsDecision Making B2 Constrained Optimization Models B2 Advantages and Disadvantages of Using Optimiza-tion Models B5 Assumptions of Linear Programming Models B6 Formulating Linear Programs B7 The Geometry of Linear Programs B14 The Graphical Solution Approach B15 The Simplex Algorithm B17 Using Artificial Variables B26 Computer Solutions of Linear Programs B29 Using Linear Programming Models for DecisionMaking B32 Before studying this supplement you should know or, if necessary, review1. Competitive priorities, Chapter 22. Capacity management concepts, Chapter 93. Aggregate planning, Chapter 134. Developing a master schedule, Chapter 14 Linear ProgrammingSUPPLEMENTBLEARNING OBJECTIVESA fter studying this supplement, you should be able toDescribe the role of mathematical models in operations decision constrained optimization the advantages and disadvantages ofusing optimization the assumptions of Linear Linear the geometry of Linear the graphical solution the simplex artificial com
The Decision Variables. We first identify those things over which we have control: the deci-sion variables.In this problem we have direct control over two quantities: the number of packages of Meaties to make each month, and the number of packages of Yummies to make each month.
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