 Case Studies and Problem FormulationsJosef Kallrath
Chapter Chapter 8 in Business Optimization Using Mathematical Programming, 2021, pp 259-284 from Springer Abstract: Abstract In this chapter we shall consider applications of mathematical programming arising in various contexts. We shall examine the problem faced by the client, the model built, and the use to which it would be put. Problems will be ones that require financial modeling, modeling of the closing and opening of facilities, modeling across time periods, discounting over time, using opening and closing balances, and using hard and soft constraints in model development. Each case will demonstrate the need for a model of a particular type. A formulation of each model is provided in MCOL, so that the reader may solve the problem and investigate the results. In some cases it will be possible to formulate the problem in several contrasting ways. Some of the benefits of the alternative formulations will be discussed. In the second half of the chapter the focus will be on difficulties that commonly arise when we try to run models and solve problems. We discuss how to get around infeasibilities and illuminate certain aspects of sensitivity analysis. Date: 2021 There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-030-73237-0_8 Ordering information: This item can be ordered from DOI: 10.1007/978-3-030-73237-0_8 Access Statistics for this chapter More chapters in International Series in Operations Research & Management Science from Springer |
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