A flexible Java representation for uncertainty in online operations-research models

A flexible Java representation for uncertainty in online operations-research models

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Article ID: iaor20033031
Country: United States
Volume: 13
Issue: 1
Start Page Number: 29
End Page Number: 55
Publication Date: Jan 2001
Journal: INFORMS Journal On Computing
Authors: , ,
Keywords: Java
Abstract:

Online OR models have been the subject of increased attention in recent years with the rapid expansion of the Internet. Although much has been written about the implementation, as well as the formal analysis of online models, little has been said about how to handle uncertainty in an online setting. In particular, the dynamic nature of uncertainty that is so characteristic of online models, where estimates and distributions evolve in parallel with the state of the model, has been largely ignored. In this paper, we present a new representation for uncertainty in online models. This representation is object-oriented and, as such, provides several important software-engineering advantages over traditional representations for uncertainty. Moreover, by using the event listener paradigm it provides an explicit mechanism for handling dynamic uncertainty in an elegant and extensible manner. A series of computational experiments demonstrates that there is no significant overhead to our representation when compared to traditional representations on a realistic application and, in some cases, our representations can be noticeably faster.

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