Closed-loop supply chain network design under demand, return and quality uncertainty

Date

2018-07-08

Author

Batun, Sakine
Biçe, Kadir

Metadata

Show full item record

Item Usage Stats

42
views

0
downloads

Cite This

We consider the problem of designing a closed-loop supply chain (CLSC) network in the presence of uncertainty in demand quantities, return rates, and quality of the returned products. We formulate the problem as a two-stage stochastic mixed-integer program (SMIP) that maximizes the total expected profit. The first-stage decisions in our model are facility location and capacity decisions, and the second-stage decisions are the forward/backward flows on the network and hence the production/recovery quantities defined by the flow amounts. We solve the problem by using the L-shaped method in iterative and branch-and-cut frameworks. To improve the computational efficiency, we consider various cut generation strategies. Besides testing the performance of the considered solution methods, we also use our numerical results to estimate the value of the stochastic solution (VSS), the expected value of perfect information (EVPI), and the benefit of utilizing a CLSC network. Our results indicate that the uncertainty in demand has the highest impact and the uncertainty in return rate has the lowest impact on VSS and EVPI values, and including reverse chain increases the expected profit significantly.

Subject Keywords

Closed-loop supply chains, Network design, Two-stage stochastic programming, L-shaped method, Branch-and-cut

URI

https://hdl.handle.net/11511/71359
https://www.sciencedirect.com/science/article/abs/pii/S0360835220307518

Collections

Department of Industrial Engineering, Conference / Seminar