In most of the research works, on closed-loop supply chain production inventory model consisting of a virgin raw material supplier, a manufacturer, a retailer and a collector,remanufacturing and manufacturing processes have been considered in subsequent manner which produce same quality of product. Again, in some papers single product with different qualities have been considered that leads to lost sale situation. Moreover, in some papers, the quality of the remanufactured items made by the used product is considered as lower quality items than newly manufactured one made by the virgin raw material. But, in reality, less acceptance quality level of the used product needed more development cost to become new one which has not been yet studied. So to make the paper more realistic, in this model, (i) the manufacturer incorporates both the manufacturing and remanufacturing processes simultaneously to overcome lost sale situation and (ii) the acceptance quality level dependent development cost of the remanufactured items have been considered. Again, due to long run process, malfunctioning of the production system increases. So both the manufacturing and remanufacturing processes produce some defective items which are reworked within the same cycle. With these consideration, a mathematical model has been developed and solved using sequential and global optimizations. It reveals from numerical studies that the joint total profit in case of global optimization is higher than sequential optimization.

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@inproceedings{oscm-2019-479,
  title={EFFECT OF RECYCLING IN AN IMPERFECT PRODUCTION SYSTEM WITH ACCEPTANCE QUALITY LEVEL DEPENDENT DEVELOPMENT COST},
  year={2019},
  author={Shyamal Kumar Mondal},
  booktitle={Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019}
}

Shyamal Kumar Mondal (2019). EFFECT OF RECYCLING IN AN IMPERFECT PRODUCTION SYSTEM WITH ACCEPTANCE QUALITY LEVEL DEPENDENT DEVELOPMENT COST. In Proceedings of the 9th International Conference on Operations and Supply Chain Management, Vietnam, 2019.