Çapraz, OzanPolat, OlcayGüngör, Aşkıner2022-05-112022-05-1120151936-65821936-6590https://doi.org/10.1007/s10696-015-9217-3https://hdl.handle.net/20.500.11776/6473Waste electrical and electronic equipment (WEEE) consist of many different substances some of which contain hazardous components and valuable materials. The recovery of WEEE plays a key role on environmental sustainability because it minimizes the negative effects of hazardous materials and helps the efficient use of world's limited resources. Recovery strategies enable companies to collect reusable components and to recycle the material content of WEEE by using operations like sorting, disassembly and bulk recycling. Usually companies associated with municipals collect WEEE from end-users and/or collection points. Then they sell these items to WEEE recycling facilities through bidding. For recycling facilities, it is important to generate the best operational level decisions to receive and handle WEEE. This study contributes to the fulfillment of this need by presenting a mixed integer linear programming model to determine the maximum bid price offer while determining the best operation planning strategies. In order to demonstrate the potential of the proposed model, a real life case study along with several scenarios is studied. The findings of the case study indicate that the model has the potential to enable the decision maker to come with stronger decisions related to both bidding process and operational strategies of the facility.en10.1007/s10696-015-9217-3info:eu-repo/semantics/closedAccessWEEERecyclingOperations planningBiddingMixed integer linear programmingProduct RecoveryReverse LogisticsProgramming-ModelSupply ChainClosed-LoopStrategiesIssuesOptimizationDesignArticle274479508Q2WOS:0003634874000012-s2.0-84945456672Q1