SABE tractors: an application of linear programming = Case study, operations management
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
[Place of publication not identified]
Kogan Page
[2016]
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| Series: | Kogan Page Case Study Library
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| Subjects: | |
| Online Access: | FLA01 |
| Item Description: | Online resource; title from caption (Safari, viewed August 26, 2016). - Date of publication from resource description page |
| Physical Description: | 1 online resource (1 volume) illustrations |
| ISBN: | 9780749477806 0749477806 |
Staff View
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| 100 | 1 | |a Genovese, Andrea |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a SABE tractors |b an application of linear programming = Case study, operations management |c Andrea Genovese and Mike Simpson |
| 246 | 1 | 3 | |a Case study, operations management |
| 246 | 1 | 1 | |a Case study, operations management |
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| 505 | 8 | |a "This case study helps the reader develop an understanding of Linear Programming. It offers the reader a clear explanation of this concept, and demonstrates how it is a useful tool for the allocation of scarce resources. Linear Programming represents a quintessential tool for optimal allocation of scarce resources among a member of competing activities. The term Linear Programming derives from the fact that both the objective function (expressing the performance that decision that decision-maker wants to optimize) and the constraints (representing limitation to the available resources that need to be employed for achieving such an objective) can be expressed by means of linear polynomials (namely, degree-1 polynomials). The case study shows how Linear Programming can be applied to production planning and product mix decisions. The authors have created very useful worked examples of the mathematical model, along with the presentation of a solution using the graphical method. Aimed at students of operations management, the authors offer an explanation of both the objective function and the constraints. They also explore difficult concepts such as linear polynomials. In this case study Mike Simpson and Andrea Genovese demonstrate how linear programming techniques can tackle practical business problems and assess potential future scenarios. The authors guide readers through the stages of calculations and analysis." | |
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Record in the Search Index
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| any_adam_object | |
| author | Genovese, Andrea |
| author_facet | Genovese, Andrea |
| author_role | aut |
| author_sort | Genovese, Andrea |
| author_variant | a g ag |
| building | Verbundindex |
| bvnumber | BV046101670 |
| collection | ZDB-4-EBU |
| contents | "This case study helps the reader develop an understanding of Linear Programming. It offers the reader a clear explanation of this concept, and demonstrates how it is a useful tool for the allocation of scarce resources. Linear Programming represents a quintessential tool for optimal allocation of scarce resources among a member of competing activities. The term Linear Programming derives from the fact that both the objective function (expressing the performance that decision that decision-maker wants to optimize) and the constraints (representing limitation to the available resources that need to be employed for achieving such an objective) can be expressed by means of linear polynomials (namely, degree-1 polynomials). The case study shows how Linear Programming can be applied to production planning and product mix decisions. The authors have created very useful worked examples of the mathematical model, along with the presentation of a solution using the graphical method. Aimed at students of operations management, the authors offer an explanation of both the objective function and the constraints. They also explore difficult concepts such as linear polynomials. In this case study Mike Simpson and Andrea Genovese demonstrate how linear programming techniques can tackle practical business problems and assess potential future scenarios. The authors guide readers through the stages of calculations and analysis." |
| ctrlnum | (ZDB-4-EBU)ocn957527009 (OCoLC)957527009 (DE-599)BVBBV046101670 |
| dewey-full | 519.72 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.72 |
| dewey-search | 519.72 |
| dewey-sort | 3519.72 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| format | Electronic eBook |
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| indexdate | 2024-07-10T08:35:18Z |
| institution | BVB |
| isbn | 9780749477806 0749477806 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031482448 |
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| psigel | ZDB-4-EBU ZDB-4-EBU FLA_PDA_EBU |
| publishDate | 2016 |
| publishDateSearch | 2016 |
| publishDateSort | 2016 |
| publisher | Kogan Page |
| record_format | marc |
| series2 | Kogan Page Case Study Library |
| spelling | Genovese, Andrea Verfasser aut SABE tractors an application of linear programming = Case study, operations management Andrea Genovese and Mike Simpson Case study, operations management [Place of publication not identified] Kogan Page [2016] 1 online resource (1 volume) illustrations txt rdacontent c rdamedia cr rdacarrier Kogan Page Case Study Library Online resource; title from caption (Safari, viewed August 26, 2016). - Date of publication from resource description page "This case study helps the reader develop an understanding of Linear Programming. It offers the reader a clear explanation of this concept, and demonstrates how it is a useful tool for the allocation of scarce resources. Linear Programming represents a quintessential tool for optimal allocation of scarce resources among a member of competing activities. The term Linear Programming derives from the fact that both the objective function (expressing the performance that decision that decision-maker wants to optimize) and the constraints (representing limitation to the available resources that need to be employed for achieving such an objective) can be expressed by means of linear polynomials (namely, degree-1 polynomials). The case study shows how Linear Programming can be applied to production planning and product mix decisions. The authors have created very useful worked examples of the mathematical model, along with the presentation of a solution using the graphical method. Aimed at students of operations management, the authors offer an explanation of both the objective function and the constraints. They also explore difficult concepts such as linear polynomials. In this case study Mike Simpson and Andrea Genovese demonstrate how linear programming techniques can tackle practical business problems and assess potential future scenarios. The authors guide readers through the stages of calculations and analysis." MATHEMATICS / Linear & Nonlinear Programming bisacsh Linear programming fast Linear programming Case studies Manufacturing processes Linear programming Case studies (DE-588)4522595-3 Fallstudiensammlung gnd-content Simpson, Mike Sonstige oth Erscheint auch als Druck-Ausgabe Simpson, Mike Case Study: SABE Tractors London : Kogan Page, ©2016 9780749477790 |
| spellingShingle | Genovese, Andrea SABE tractors an application of linear programming = Case study, operations management "This case study helps the reader develop an understanding of Linear Programming. It offers the reader a clear explanation of this concept, and demonstrates how it is a useful tool for the allocation of scarce resources. Linear Programming represents a quintessential tool for optimal allocation of scarce resources among a member of competing activities. The term Linear Programming derives from the fact that both the objective function (expressing the performance that decision that decision-maker wants to optimize) and the constraints (representing limitation to the available resources that need to be employed for achieving such an objective) can be expressed by means of linear polynomials (namely, degree-1 polynomials). The case study shows how Linear Programming can be applied to production planning and product mix decisions. The authors have created very useful worked examples of the mathematical model, along with the presentation of a solution using the graphical method. Aimed at students of operations management, the authors offer an explanation of both the objective function and the constraints. They also explore difficult concepts such as linear polynomials. In this case study Mike Simpson and Andrea Genovese demonstrate how linear programming techniques can tackle practical business problems and assess potential future scenarios. The authors guide readers through the stages of calculations and analysis." MATHEMATICS / Linear & Nonlinear Programming bisacsh Linear programming fast Linear programming Case studies Manufacturing processes Linear programming Case studies |
| subject_GND | (DE-588)4522595-3 |
| title | SABE tractors an application of linear programming = Case study, operations management |
| title_alt | Case study, operations management |
| title_auth | SABE tractors an application of linear programming = Case study, operations management |
| title_exact_search | SABE tractors an application of linear programming = Case study, operations management |
| title_full | SABE tractors an application of linear programming = Case study, operations management Andrea Genovese and Mike Simpson |
| title_fullStr | SABE tractors an application of linear programming = Case study, operations management Andrea Genovese and Mike Simpson |
| title_full_unstemmed | SABE tractors an application of linear programming = Case study, operations management Andrea Genovese and Mike Simpson |
| title_short | SABE tractors |
| title_sort | sabe tractors an application of linear programming case study operations management |
| title_sub | an application of linear programming = Case study, operations management |
| topic | MATHEMATICS / Linear & Nonlinear Programming bisacsh Linear programming fast Linear programming Case studies Manufacturing processes Linear programming Case studies |
| topic_facet | MATHEMATICS / Linear & Nonlinear Programming Linear programming Linear programming Case studies Manufacturing processes Linear programming Case studies Fallstudiensammlung |
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