Single Objective Reverse Supply Chain Models

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Single Objective Reverse Supply Chain Models Ammons et al. (1997) developed a mixed integer linear programming (MILP) model for the reverse supply chain design of used carpets. The model considers a two-level network that includes collection of used carpets from carpet dealerships, as well as separation of nylon and other reusable materials while landfilling the remainder. Although the delivery sites for recovered materials are assumed to be known, the optimal number and location of both collection sites and recycling plants for alternative configurations are to be determined. In addition, the amount of carpets collected from each site is to be determined. A sensitivity analysis is performed in order to evaluate the impact of several…show more content…
Barros et al. (1998) addressed the design of a supply chain for recycling sand from processing construction waste in the Netherland. The examined supply chain consists of four levels: 1) crushing companies yielding sieved sand from construction waste, 2) regional depots specifying the pollution level and storing cleaned and half-cleaned sand, 3) treatment facilities cleaning and storing polluted sand, and 4) infrastructure projects where sand can be reused. The locations of the sand sources are known and their return volumes are estimated based on historical data. The optimal number, capacities, and locations of depots and cleaning facilities are to be determined. This problem is formulated as a MILP model and is solved approximately via iterative rounding of LP relaxations strengthened by valid inequalities. Listes and Dekker (2005) revisited this case and explicitly took uncertainty issues into account in their modelling approach. They developed a stochastic programming model where location decisions need to be taken on the basis of imperfect information on supply and demand while subsequent processing and transportation decisions are based on the actual volumes. The model maximises the expected performance for a set of scenarios with
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