Optimal Regional Scheduling of Solid Waste Systems. I: Model Development

Conceptual modeling to optimize the haul and transfer of municipal solid waste

“…Optimizing the haul, transfer and final disposal of MSW through mathematical programming has been a typical optimization problem since the 1970s, when emphasis was given to determining the optimum collection routes (Truitt et al, 1969) as well as to determining facility locations and capacities (Esmaili, 1972;Kirka and Erkip, 1988;Or and Curi, 1993). In addition, optimizing a MSW management system that includes waste processing, such as incineration and recycling, in addition to simple collection-haul-transfer-disposal, has also been tackled extensively in the literature (Gottinger, 1986;Anex et al, 1996;Everett and Modak, 1996;Modak and Everett, 1996;Badran and El-Haggar, 2006). Optimization models on solid waste management have been based on linear programming, mixed integer and linear programming, mixed integer and non-linear programming and multi-objective programming (Chang and Wei, 1999).…”

Multi-objective agent-based modeling of single-stream recycling programs

“…Rubenstein-Montano and Zandi (1999) discuss the lack of a decision-making model that can be applied for addressing the financial and technical needs by the municipal council to provide a garbage collection service covering the whole population. Models proposed in the literature for the management and planning of solid waste collection include economic cost-estimation models, mathematical models such as linear programming (Everett and Modak, 1996), mixed integer linear programming (Diamadopoulos et al, 1995), dynamic programming, fuzzy logics (Chang and Wang, 1997), and heuristic algorithmbased optimization models (Poser and Awad, 2006;Karadimas et al, 2007;Hemmelmayr et al, 2011). Particularly, Biddle (1998) relies exclusively on simple, deterministic economic forecasting to project performance, and focuses on cost reduction to advocate SSR programs as recycling solutions for diverse geographic regions.…”

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

“…The information incorporated into the optimization objectives included economic impacts, characterized by operational income and cost for waste management, air quality impacts from discharges of target pollutants due to waste incineration, noise impacts from various types of facilities operation, and traffic flow increments by garbage truck fleets. Everett and Modak (1996a) proposed a linear programming based cost minimization model that could assist decision makers in the long term scheduling of disposal and other management options such as recycling, incineration and composting. A companion paper (Everett and Modak, 1996b) demonstrated the usefulness of the model by its application on a hypothetical problem of regional integrated solid waste management system.…”