Keywords
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Waste management, collection sites, vehicle-routing problem, robust planning,
uncertainty.
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Abstract
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In the present study, a model including two robust objective functions to reduce costs related
to the location of waste transfer facilities in Bushehr. Using the first objective function not
only reduces the selection of collection sites but also ensures the overall cost associated with
the collection phase. In addition, the first objective function of this research seeks to optimally
allocate citizens to collection sites. Also, this model includes the types of bins required for
allocation to collection sites so that the total demand of the area is met. Another result of this
objective function is that the landfills allocated to these sites may be of different types, with
different distances from citizens' homes and even different capacities. Finally, each citizen
receives service through a waste collection site with the shortest distance from home to the
collection point. The second robust objective function to minimize total collection distance
has been discussed. Waste collection widely depends on the route optimization problem that
involves a large amount of expenditure in terms of capital, labor, and variable operational
costs. Thus, the more waste collection route is optimized, the more reduction in different costs
and environmental effect will be. This study proposes a modified robust optimization in a
capacitated vehicle routing problem (CVRP) model to determine the best waste collection and
route optimization solutions. Other results of this research show that the value of the objective
functions determined in the robust method is less than the definite method.
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