Stochastic Programming Models for Air Quality Management

Tsunemi Watanabe, Hugh Ellis*

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

21 Citations (Scopus)


Five stochastic programming models are developed for identifying cost-effective acid rain control strategies. Four of the models are based upon chance constrained formulations—the last is a two-stage programming model with simple recourse. The chance constrained models include both traditional forms in which individual constraint reliability levels are user-prescribed constants, we well as a joint chance constrained model in which reliability levels are cast as decision variables.
Original languageEnglish
Pages (from-to)651-663
Number of pages13
JournalComputers and Operations Research
Issue number6
Publication statusPublished - Aug 1993
Externally publishedYes


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