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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 |
MARC
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| 003 | OCoLC | ||
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| 024 | 7 | |a 10.2200/S00747ED3V01Y201616ENG027 |2 doi | |
| 024 | 7 | |a 10.1007/978-3-031-79376-9 |2 doi | |
| 035 | |a (OCoLC)970006994 |z (OCoLC)967559831 |z (OCoLC)967889636 |z (OCoLC)1229468175 | ||
| 050 | 4 | |a T57.825 |b .C744 2017 | |
| 072 | 7 | |a MAT |x 012000 |2 bisacsh | |
| 082 | 0 | 4 | |a 516 |2 23 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Creese, Robert C., |d 1941- |e author. |1 https://id.oclc.org/worldcat/entity/E39PCjx4CVj69tbjkTBjYMTpKd | |
| 240 | 1 | 0 | |a Geometric programming for design and cost optimization |
| 245 | 1 | 0 | |a Geometric programming for design equation development and cost/profit optimization : |b (with illustrative case study problems and solutions) / |c Robert C. Creese, West Virginia University. |
| 250 | |a Third edition. | ||
| 264 | 1 | |a Cham, Switzerland : |b Springer, |c [2017] | |
| 264 | 4 | |c ©2017 | |
| 300 | |a 1 online resource (xvi, 194 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Synthesis lectures on engineering, |x 1939-523X ; |v #27 | |
| 588 | 0 | |a Online resource; title from PDF title page (Morgan & Claypool, viewed on January 24, 2017). | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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. | |
| 520 | 3 | |a 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 in its development. Five new case studies have been added to the third edition. There are five major sections: (1) Introduction, History and Theoretical Fundamentals; (2) Cost Minimization Applications with Zero Degrees of Difficulty; (3) Profit Maximization Applications with Zero Degrees of Difficulty; (4) Applications with Positive Degrees of Difficulty; and (5) Summary, Future Directions, and Geometric Programming Theses & Dissertations Titles. The various solution techniques presented are the constrained derivative approach, condensation of terms approach, dimensional analysis approach, and transformed dual approach. A primary goal of this work is to have readers develop more case studies and new solution techniques to further the application of geometric programming. | |
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Geometric programming |v Case studies. | |
| 650 | 6 | |a Programmation géométrique |v Études de cas. | |
| 650 | 7 | |a MATHEMATICS |x Geometry |x General. |2 bisacsh | |
| 650 | 7 | |a Geometric programming |2 fast | |
| 653 | |a design optimization | ||
| 653 | |a generalized design relationships | ||
| 653 | |a cost optimization | ||
| 653 | |a profit maximization | ||
| 653 | |a cost ratios | ||
| 653 | |a constrained derivative | ||
| 653 | |a dimensional analysis | ||
| 653 | |a condensation of terms | ||
| 653 | |a transformed dual | ||
| 653 | |a posynominials | ||
| 655 | 7 | |a Case studies |2 fast | |
| 758 | |i has work: |a Geometric programming for design and cost optimization (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGCHdVJ6mJW8X9HmQwp7H3 |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |z 9781627059800 |
| 830 | 0 | |a Synthesis lectures on engineering ; |v #27. |x 1939-5221 | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=4774129 |z Texto completo |
| 938 | |a Askews and Holts Library Services |b ASKH |n AH38017612 | ||
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL4774129 | ||
| 938 | |a EBSCOhost |b EBSC |n 1445456 | ||
| 938 | |a YBP Library Services |b YANK |n 13319620 | ||
| 994 | |a 92 |b IZTAP | ||