planning solid waste collection with robust optimization: location-allocation, receptacle type, and service frequency

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ID: 165575
2017
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Abstract
Consider the problem faced by a purchaser of solid waste management services, who needs to identify waste collection points, the assignment of waste generation points to waste collection points, and the type and number of receptacles utilized at each collection point. Receptacles whose collection schedule is specified in advance are charged a fixed fee according to the number of times the receptacle is serviced (emptied) per week. For other receptacles, the purchaser pays a fee comprised of a fixed service charge, plus a variable cost that is assessed on a per-ton-removed basis. We develop a mathematical programming model to minimize the costs that the purchaser pays to the waste management provider, subject to a level of service that is sufficient to collect all of the purchaser’s required waste. Examining historical data from the University of Missouri, we observed significant variability in the amount of waste serviced for nonscheduled receptacles. Because this variability has a significant impact on cost, we modified our model using robust optimization techniques to address the observed uncertainty. Our model’s highly robust solution, while slightly more expensive than the nonrobust solution in the most-optimistic scenario, significantly outperforms the nonrobust solution for all other potential scenarios.
Reference Key
mehr2017advancesplanning Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Maryam Nikouei Mehr;Ronald G. McGarvey
Journal International journal of dentistry
Year 2017
DOI
10.1155/2017/2912483
URL
http://dx.doi.org/10.1155/2017/2912483
Keywords
operations management production management

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