Abstract
The ways of improving the performance of a
supply chain through effectively and efficiently closing the loop have received
considerable attention both from academic researchers and industry
practitioners over the past two decades. This paper proposes a Closed-Loop
Supply Chain (CLSC) model with independent third-party reverse logistics
Provider (3PRLP) for returns processing. Realistically, product demand is
generated by a stochastic process and a fraction of the units that are
initially sold are returned by consumers for a full refund in every period. We
model the forward flow interaction between the supplier, the retailer and 3PRLP
by a widely accepted control policy that is lot size-reorder point inventory
policy, which is detailed by the Markov process. We utilize a queuing network
to capture reverse flow activities of the 3PRLP, which consists of customer
decision delay and each of the 3PRLP activities. We characterize the expected
profits for both firms and derive the effects of key parameters through a set
of numerical examples. The results of the optimization analysis indicate that
both firms’ benefits from processing returns increase with an increasing
returns rate. This is due to fact that the retailer captures more profits
through selling processed returns at the price of new product. The 3PRLP
unambiguously earns more profit from processing the returns since fees from
processing returns are sole source of revenue. Furthermore, the directions of
effects of changes in the holding cost are similar for both the retailer and
3PRLP. However, the magnitude of effects of the same parameter is quite
opposite. Interestingly, the retailer’s profit appears to be more sensitive to
the holding cost than that of the 3PRLP’s profit.