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Geometric programming for design equation development and cost/profit optimization : (with illustrative case study problems and solutions) /
Geometric Programming is used for cost minimization, profit maximization, obtaining cost ratios, and the development of generalized design equations for the primal variables. The early pioneers of geometric programming--Zener, Duffin, Peterson, Beightler, Wilde, and Phillips-- played important roles...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cham, Switzerland :
Springer,
[2017]
|
| Edición: | Third edition. |
| Colección: | Synthesis lectures on engineering ;
#27. |
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Part I. Introduction, history, and theoretical fundamentals of geometric programming
- 1. Introduction
- 1.1 Optimization and geometric programming
- 1.1.1 Optimization
- 1.1.2 Geometric programming
- 1.2 Evaluative questions
- 1.3 References
- 2. Brief history of geometric programming
- 2.1 Pioneers of geometric programming
- 2.2 Evaluative questions
- 2.3 References
- 3. Theoretical fundamentals
- 3.1 Primal and dual formulations
- 3.2 Evaluative questions
- 3.3 References
- Part II. Geometric programming cost minimization applications with zero degrees of difficulty
- 4. The optimal box design case study
- 4.1 Introduction
- 4.2 The optimal box design problem
- 4.3 Evaluative questions
- 5. Trash can case study
- 5.1 Introduction
- 5.2 The optimal trash can design problem
- 5.3 Evaluative questions
- 5.4 References
- 6. The building area design case study
- 6.1 Introduction
- 6.2 The building area design problem
- 6.3 Problem solution
- 6.4 Modified building area design problem
- 6.5 Fixed room height area design problem
- 6.6 Evaluative questions
- 6.7 References
- 7. The open cargo shipping box case study
- 7.1 Problem statement and general solution
- 7.2 Evaluative questions
- 7.3 References
- 8. Metal casting cylindrical side riser case study
- 8.1 Introduction
- 8.2 Problem formulation and general solution
- 8.3 Cylindrical side riser example
- 8.4 Evaluative questions
- 8.5 References
- 9. Inventory model case study
- 9.1 Problem statement and general solution
- 9.2 Inventory example problem
- 9.3 Evaluative questions
- 9.4 References
- 10. Process furnace design case study
- 10.1 Problem statement and solution
- 10.2 Conclusions
- 10.3 Evaluative questions
- 10.4 References
- 11. The gas transmission pipeline case study
- 11.1 Problem statement and solution
- 11.2 Evaluative questions
- 11.3 References
- 12. Material removal/metal cutting economics case study
- 12.1 Introduction
- 12.2 Problem formulation
- 12.3 Evaluative questions
- 12.4 References
- 13. Construction building sector cost minimization case study
- 13.1 Introduction
- 13.2 Model development
- 13.3 Model results and validation
- 13.4 Conclusions
- 13.5 Evaluative questions
- 13.6 References
- Part III. Geometric programming profit maximization applications with zero degrees of difficulty
- 14. Production function profit maximization case study
- 14.1 Profit maximization with geometric programming
- 14.2 Profit maximization of the production function case study
- 14.3 Evaluative questions
- 14.4 References
- 15. Product mix profit maximization case study
- 15.1 Profit maximization using the Cobb-Douglas production function
- 15.2 Evaluative questions
- 15.3 References
- 16. Chemical plant product profitability case study
- 16.1 Model formulation
- 16.2 Primal and dual solutions
- 16.3 Evaluative questions
- 16.4 References
- Part IV. Geometric programming applications with positive degrees of difficulty
- 17. Journal bearing design case study
- 17.1 Issues with positive degrees of difficulty problems
- 17.2 Journal bearing case study
- 17.3 Primal and dual formulation of journal bearing design
- 17.4 Dimensional analysis technique for additional equation
- 17.5 Evaluative questions
- 17.6 References
- 18. Multistory building design with a variable number of floors case study
- 18.1 Introduction
- 18.2 Problem formulation
- 18.3 Evaluative questions
- 18.4 References
- 19. Metal casting cylindrical side riser with hemispherical top design case study
- 19.1 Introduction
- 19.2 Problem formulation
- 19.3 Dimensional analysis technique for additional two equations
- 19.4 Evaluative questions
- 19.5 References
- 20. Liquefied petroleum gas (LPG) cylinders case study
- 20.1 Introduction
- 20.2 Problem formulation
- 20.3 Dimensional analysis technique for additional equation
- 20.4 Evaluative questions
- 20.5 References
- 21. Material removal/metal cutting economics with two constraints case study
- 21.1 Introduction
- 21.2 Problem formulation
- 21.3 Problem solution
- 21.4 Example problem
- 21.5 Evaluative questions
- 21.6 References
- 22. The open cargo shipping box with skids case study
- 22.1 Introduction
- 22.2 Primal and dual problem formulation
- 22.3 Constrained derivative approach
- 22.4 Dimensional analysis approach for additional equation
- 22.5 Condensation of terms approach
- 22.6 Evaluative questions
- 22.7 References
- 23. Profit maximization considering decreasing cost functions of inventory policy case study
- 23.1 Introduction
- 23.2 Model formulation
- 23.3 Inventory example problem with scaling constants for price and cost
- 23.4 Transformed dual approach
- 23.5 Evaluative questions
- 23.6 References
- Part V. Summary, future directions, theses and dissertations on geometric programming
- 24. Summary and future directions
- 24.1 Summary
- 24.2 Future directions
- 24.3 Development of new design relationships
- 25. Theses and dissertations on geometric programming
- 25.1 Introduction
- 25.2 Lists of M.S. theses and Ph. D. dissertations
- Author's biography
- Index.