The optimization approach

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In this chapter, we continue the discussion in Chap. 3, and gradually build optimization approaches and linear programming models, without pre-required knowledge in operations research. In order to solve a linear programming, Microsoft Excel Solver software and Microsoft Visual Basic software are used and the required instructions are comprehensively illustrated, so that no previous knowledge about the software are needed. We also discuss a different view for the Petroleum example with two output factors. Two important theorems are provided to explain when a score should be called a ‘relative score’. In addition, two necessary types are added to Types 1–4 in Chap. 1, when the number of input factors and the number of output factors are more than 1. These two types provide a transparent view to rank and benchmark firms through the feasible area, as well as a direction for future arguments on these topics. At the end of this section, readers are prepared to calculate the performance evaluation of a set of homogenous firms and explain the related concepts visibly.

Original languageEnglish (US)
Title of host publicationInternational Series in Operations Research and Management Science
PublisherSpringer New York LLC
Pages107-134
Number of pages28
DOIs
StatePublished - Jan 1 2018

Publication series

NameInternational Series in Operations Research and Management Science
Volume269
ISSN (Print)0884-8289

Fingerprint

Linear programming
Operations research
Software
Optimization
Excel
Crude oil
Output
Petroleum
Operations Research
Programming Model
Performance Evaluation
Linear Model
Continue
Benchmark
Calculate
Necessary
Theorem
Factors
Knowledge
Business

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Science Applications
  • Strategy and Management
  • Management Science and Operations Research
  • Applied Mathematics

Cite this

Khezrimotlagh, D., & Chen, Y. (2018). The optimization approach. In International Series in Operations Research and Management Science (pp. 107-134). (International Series in Operations Research and Management Science; Vol. 269). Springer New York LLC. https://doi.org/10.1007/978-3-319-76345-3_4
Khezrimotlagh, Dariush ; Chen, Yao. / The optimization approach. International Series in Operations Research and Management Science. Springer New York LLC, 2018. pp. 107-134 (International Series in Operations Research and Management Science).
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Khezrimotlagh, D & Chen, Y 2018, The optimization approach. in International Series in Operations Research and Management Science. International Series in Operations Research and Management Science, vol. 269, Springer New York LLC, pp. 107-134. https://doi.org/10.1007/978-3-319-76345-3_4

The optimization approach. / Khezrimotlagh, Dariush; Chen, Yao.

International Series in Operations Research and Management Science. Springer New York LLC, 2018. p. 107-134 (International Series in Operations Research and Management Science; Vol. 269).

Research output: Chapter in Book/Report/Conference proceedingChapter

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Khezrimotlagh D, Chen Y. The optimization approach. In International Series in Operations Research and Management Science. Springer New York LLC. 2018. p. 107-134. (International Series in Operations Research and Management Science). https://doi.org/10.1007/978-3-319-76345-3_4