Mathematical Decision Model for Reverse Supply Chains Inventory
Keywords:Reverse supply chains, decision aid, inventory models, Bayesian networks
In the reverse supply chain inventory theory, inventory models are concernedÂ with the demand of reusable parts, stock replenishment, ordering cycle, deliveryÂ lead time, number of disassembled products, ordering costs. The particularityÂ of these models consists in the occurrence of high uncertainties of the quantity andÂ quality of the returned products and resulting parts. To overcome the problem, anÂ inventory model that incorporates decision variables at proactive and reactive levelsÂ is derived and discussed in this paper.
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