Alternative Mathematical Programming Models: A Case for a Coal Blending Decision Process

Ruhul A. Sarker ()
Additional contact information
Ruhul A. Sarker: School of Information Technology and Electrical Engineering, UNSW@ADFA, Australian Defence Force Academy

Chapter Chapter 21 in Optimization, 2009, pp 383-399 from Springer

Abstract: Abstract Real-world problems are complex. It is not always feasible to include all aspects of reality in the model of a problem. In most cases, we deal with a simplified version of the problem that contains only some aspects of reality. Thus a problem can be modeled in a number of different ways depending on the portion of reality to be included or excluded. In this chapter, we address the alternative mathematical programming formulation approaches for a real-world coal-blending problem under different scenarios. The complexity of formulation and solution approaches, quality of solutions, and solution implementation difficulties for these models are compared and analyzed. Choice of the most appropriate model is suggested.

Keywords: Coal blending; alternative modelingl mathematical programming; linear programming; nonlinear programming (search for similar items in EconPapers)
Date: 2009
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-0-387-98096-6_21

Ordering information: This item can be ordered from
http://www.springer.com/9780387980966

DOI: 10.1007/978-0-387-98096-6_21

Access Statistics for this chapter

More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().