Optimization of Multi-Objective Decision Making in Reverse Logistics Using Pallet-Renting Industry as ExampleReport as inadecuate




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This research’s main focus is to develop an optimization model for determining multi-objective decision-making weights and routes by investigating the pallet-renting business based on reverse logistics. This model could increase the reliability in terms of recycling information by adopting RFID techniques for data collection, and by improving inventory visibility through cloud computing in a supply chain. The key performance indices are meeting clients’ demands, better recycling effectiveness and accurate prediction of shortage for the next cycle. The proposed model incorporates genetic algorithm for route scheduling, cloud computing for exchange and integration of information, and neural networks for predicting demands. The model also promises enhancement in competitiveness of enterprises in aiding cooperation of international logistics businesses.

KEYWORDS

Reverse logistics; RFID; genetic algorithm; multi-objective decision making; vendor management inventory

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Author: Chiao-Hsin Mai, Hung-Yu Cheng, Heng Ma

Source: http://www.scirp.org/



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