Transcription of Chapter Four: Linear Programming: Modeling Examples
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Chapter Four: Linear Programming: Modeling Examples
40 PROBLEM SUMMARY1. Product mix example2. Diet example3. Investment example4. Marketing example5. Transportation example6. Blend mix (maximization) analysis (4 7) (minimization) mix (minimization) mix (maximization) mix (maximization) mix (maximization) mix (minimization) (maximization) mix (maximization) mix (minimization) distribution (maximization) allocation (maximization) (minimization), sensitivity (maximization) (minimization) scheduling (minimization) busing (minimization) analysis (4 24) mixture (minimization) scheduling (maximization) mixture (maximization) poly mix (maximization) mix (maximization) mix (minimization), sensitivity analysisChapter Four: Linear programming : Modeling (maximization) borrowing (minimization) production scheduling(minimization) (maximization), sensitivity (minimization), sensitivity (minimization) (minimization) line scheduling (maximization) flow (minimization) admissions (maximization) (maximization) loss (minimization) investment (maximization) sales and inventory (maximization) production and inventory(minimization) assignment (maximization) envelopment envelopment flow (maximization) workforce planning (minimization) solution (4 43) scheduling (maximization), storage (maximization) scheduling (maximization) mix (maxi)
Chapter Four: Linear Programming: Modeling Examples 32. Blend (maximization) 33. Multiperiod borrowing (minimization) 34. Multiperiod production scheduling (minimization) 35. Blend (maximization), sensitivity analysis 36. Assignment (minimization), sensitivity analysis 37. Transportation (minimization) 38. Scheduling (minimization) 39.
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