Sustainable pattern analysis of a publicly owned material recovery facility in a fast-growing urban setting under uncertainty

Resolution of an uncertain closed-loop logistics model: An application to fuzzy linear programs with risk analysis

“…Dippon (1998) cited that stochastic programming needs a large amount of data and more calculation steps to solve a problem. On the other hand, gray programming is used when the patterns of the data are uncertain and clearly disjointed (Davila and Chang, 2005;Bass et al, 1997). The main difficulties in the GSC problems are that their uncertainties are caused by their complex data relations so much so that their pattern distributions cannot be well classified, that is, they overlapped.…”

Economic and Operational Feasibility Analysis of Solid Waste Minimization Projects

“…The purpose of the paper was to create solid waste management strategies and to aid in future investment forecasting or policy decisions. The second paper was published in 2005 and is titled "Sustainable pattern analysis of a publicly owned material recovery facility in a fast-growing urban setting under uncertainty" (Daliva and Chang, 2005). This research applied grey integer programming techniques to screen optimal shipping patterns and the outcome was an ideal MRF location and capacity design.…”

Optimal planning of co-firing alternative fuels with coal in a power plant by grey nonlinear mixed integer programming model

“…lower and upper bounds of parameters or variables) are favored for they provide some flexibility in decision making with their interval expressions (Huang et al, 1993b;Huang and Moore, 1993;Zheng and Lewis, 1993). Grey mathematical programming is a unique extension of LP-based models using a ''once through'' approach (Davila and Chang, 2005). Grey mathematical programming covers Grey Linear Programming (GLP) (Huang et al, 1992;Huang and Moore, 1993), Grey Integer Programming (GIP) (Huang et al, 1993a(Huang et al, , 1995, Grey Dynamic Programming (GDP) (Huang et al, 1994), Grey Nonlinear Programming (Chang and Wang, 1995) and Grey Fuzzy or Fuzzy Interval Programming (Chang et al, 1996a, b;Chang and Wang, 1997).…”