Paper Info
Title
A two-stage fuzzy robust integer programming approach for capacity planning of environmental management systems
Abstract
In this study, a two-stage fuzzy robust integer programming (TFRIP) method has been developed for planning environmental management systems under uncertainty. This approach integrates techniques of robust programming and two-stage stochastic programming within a mixed integer linear programming framework. It can facilitate dynamic analysis of capacity-expansion planning for waste management facilities within a multi-stage context. In the modeling formulation, uncertainties can be presented in terms of both possibilistic and probabilistic distributions, such that robustness of the optimization process could be enhanced. In its solution process, the fuzzy decision space is delimited into a more robust one by specifying the uncertainties through dimensional enlargement of the original fuzzy constraints. The TFRIP method is applied to a case study of long-term waste-management planning under uncertainty. The generated solutions for continuous and binary variables can provide desired waste-flow-allocation and capacity-expansion plans with a minimized system cost and a maximized system feasibility.
Year
DOI
Venue
2008
10.1016/j.ejor.2007.05.014
European Journal of Operational Research
Keywords
Field
DocType
Decision-making,Environment,Integer programming,Robust programming,Two-stage stochastic,Uncertainty
Mathematical optimization,Robust optimization,Fuzzy logic,Capacity planning,Robustness (computer science),Integer programming,Resource allocation,Probabilistic logic,Stochastic programming,Operations management,Mathematics
Journal
Volume
Issue
ISSN
189
2
0377-2217
Citations 
PageRank 
References 
12
0.95
13
Authors
4
Name
Order
Citations
PageRank
Y. P. Li19212.55
G. H. Huang241649.89
X. H. Nie3473.64
S. L. Nie4192.25