A computational model for solid waste management with applications

Abstract

A model for regional solid waste management is described as a network flow problem and a special purpose algorithm is developed. The model is applied to waste management and facility siting decisions in the Munich Metropolitan area, West Germany. (INT

Economic Evaluation of a Regionalization Program for Solid Waste Management in a Metropolitan Region

“…These approaches include linear programming (Huang et al, 1992(Huang et al, , 1993Hsieh and Ho, 1993;Lund et al, 1994), mixed integer programming (Anderson, 1968;Mark et al, 1970;Fuertes et al, 1974;Helms and Clark, 1974;Walker et al, 1974;Kü hner and Harrington, 1975;Hasit and Warner, 1981;Jenkins, 1982;Gottinger, 1986;Kirca and Erkip, 1988;Zhu and ReVelle, 1990), non-linear programming , and dynamic programming (Baetz, 1990;Huang et al, 1994). Although the techniques of single-objective mathematical programming have long been used in analysing regional solid waste management issues, the inherent characteristics of environmental impacts, the rate of generation, the incorporation of recycling effects and the consideration of equity, generates additional complications that make the multi-objective and multipurpose modelling more attractive.…”

A Goal Programming Based Multi-Time Step Optimal Material Flow Analysis Model for Integrated Computer Waste Management

“…Abundance of stochastic uncertainty within any solid waste management system renders many optimization approaches relatively unsuitable for practical implementation purposes, since they provide no effective mechanism for directly incorporating system uncertainties into their solution construction (Coyle, 1973;Brown et al, 1974;Liebman, 1975;Gottinger, 1986;Tchobanoglous et al, 1993;MacDonald, 1996). Consequently, Monte Carlo simulation methods (Kalos, 1986) have been used in attempts to circumvent these uncertainty shortcomings (Bodner et al, 1970;Openshaw & Whitehead, 1985;Baetz, 1990;Wang et al, 1994).…”

Facility Location for Solid Waste Management through Compilation and Multicriterial Ranking of Optimal Decentralised Scenarios: A Case Study for the Region of Peloponesse in Southern Greece

“…Linear programming (Hsieh and Ho, 1993;Lund and Tchobanoglous, 1994), mixed integer programming (Anderson, 1968;Fuertes at al., 1974;Gottinger, 1986;Zhu and ReVelle, 1990), dynamic programming (Huang et al, 1992) and multiobjective programming (Perlack and Willis, 1985) are included in these deterministic modelling techniques.…”