Notice of RetractionApproximating tradeoff surfaces for inventory control through evolutionary multi-objective optimization

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

The optimal tradeoff surface in inventory control is useful in quantifying exactly what the firm must pay in terms of workload and investment to meet the customer service objective. Insight from the oldest inventory model, economic order quantity (EOQ), reveals that efficiency-service tradeoff should be recast into a multi-objective context. In this paper, a nonredundant triobjective inventory control model and corresponding solution approach based on Lagrange method are presented to obtain nondominated control policies achieving tradeoffs among objectives. Evolutionary computation, NSGA-II, is also used to build the optimal tradeoff surface under stochastic demand. Results show that NSGA-II is highly competitive with the lengthy successive approximation in terms of accuracy and diversity. It can provide more tradeoff options to the decision makers.