A Manufacturing–Remanufacturing Supply Chain Model With Learning And Forgetting Including Inspection Errors

Abstract

A producing– reproducing system is considered to make new product as well as recycled product keeping same quality to keep it environmental sustainable. The manufacturer and the retailer Inventories are controlled by considering consignment stock policy. The receiving of spent products is getting increased focus for its reusability with proper inspection and performing remanufacturing to convert it into usable product of same as fresh product quality. The received used products will be subjected extensive quality inspection  process in accordance with remembering and forgetting  theory and exposed  to inspection errors. At the time of production, the impact of Greenhouse gases is also taken into one of the important constraint in addition to money spent for disposing the non friendly eco material used for packaging and chemicals.

            A model is developed for optimizing the economic order quantity with number of batches. A mixed-integer nonlinear programming model along with, genetic algorithm is applied on the model, cost reduction of 29 percent is attainable when learning, forgetting and inspection errors are considered in the model instead of ignoring the same.