Titlebook: Operations Research; A Model-Based Approa H. A. Eiselt,Carl-Louis Sandblom Textbook 2022Latest edition The Editor(s) (if applicable) and Th

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Nonlinear Programming,ing are assumed to be linear functions in the variables. In this chapter, we drop this assumption and only assume divisibility and the deterministic property. Given that, we can view nonlinear programming as a generalization of linear programming. Another important distinction between linear and non

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Decision Analysis,hat to eat for lunch or dinner, what to do in the evening (go to the theater or watch television), where to vacation, and many more. Similarly, firms will decide which mode of transportation to use when routing their products to customers, where to locate regional distribution centers, what new prod

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Multiattribute Decision Making,t to the scenario in decision analysis, the outcomes are deterministic. In other words, if we were to, say, change the composition of a soft drink we manufacture or change the features on a cell phone, we do not just deal with profit as a result of this decision, but face changing customer acceptanc

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Inventory Models,nd outflow of goods. Inventories can be thought of as water tanks: there may be a constant inflow of water that is pumped into the tank by a pump, while the outflow is low at night and high in the morning (when people get up, take a shower, etc.); it then decreases significantly until the demand aga

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Stochastic Processes and Markov Chains,ral, in stochastic processes, events occur over time. Time can be dealt with either in continuous fashion, or in discrete fashion. In the continuous case, we may look at the speed of an automobile at any given point in time or at the inventory level of a product in a supermarket at any time. In the