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

Download

index.pdf

Date

2017

Author

Biçe, Kadir

Metadata

Show full item record

Item Usage Stats

215
views

295
downloads

In this study,we focus o na closed-loop supply chain(CLSC) network design problem in the presence of uncertainty in demand quantities, return rates, and quality of the returned products. We formulate the problem as a two-stagestochastic mixed-integer program 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 production quantities and the forward/backward ﬂows on the network. We solve the problem by using the L-shaped method in iterative and branch-and-cut frameworks. In order to improve the computational efﬁciency, we consider various strategies such as adding mean-value cuts to the restricted master problem and generating multiple cuts instead of a single cut a teach iteration or a teach integer feasible solution. We use our numerical results to estimate the value of th estochastic solution and the expected value of perfect information in different problem settings.

Subject Keywords

Business logistics., Supply and demand., Stochastic programming.

URI

http://etd.lib.metu.edu.tr/upload/12620965/index.pdf
https://hdl.handle.net/11511/26445

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

Closed-loop supply chain network design under demand, return and quality uncertainty Biçe, Kadir; Batun, Sakine (2021-05-01) 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/reverse flows on the network and hence the production/recovery quantities ...
Closed-loop supply chain network design under demand, return and quality uncertainty Batun, Sakine (2018-07-08) 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...
Nonlinear and dynamic programming models for an inventory problem in a partially observable environment Darendeliler, Alp; Serin, Yaşar Yasemin; Department of Industrial Engineering (2016) In this study, a single-item periodic-review inventory system is considered in a partially observable environment with finite capacity, random yield and Markov modulated demand and supply processes for finite-horizon. The exact state of the real process, which determines the distribution of the demand and supply, is unobservable so the decisions must be made according to the limited observations called observed process. Partially Observable Markov Decision Process is used to model this problem. As an altern...
Integrated demand and procurement portfolio management with spot market volatility and option contracts Merzifonluoglu, Yasemin (2017-04-01) The newsvendor problem aims to optimally choose a level of order quantity to respond to a known demand distribution with the objective of maximizing expected return. In practice, the decision maker is often challenged with more complex settings involving multiple decisions and uncertainties. For instance, firms may benefit from choosing the set of customer orders to satisfy. It may also be worthwhile for many firms to select a supply portfolio instead of relying on a single procurement mode. This paper prov...
Optimal pricing and production decisions in utilizing reusable containers Atamer, Busra; Bakal, İsmail Serdar; Bayındır, Zeynep Pelin (2013-06-01) In this study, we focus on pricing and production decisions in utilizing reusable containers with stochastic customer demand. We consider a manufacturer that sells a single product to the customers in reusable containers with two supply options: (i) brand-new containers and (ii) returned containers from customers. The return quantity depends on both customer demand and the acquisition fee determined by the manufacturer. The unit cost of production using brand-new containers is different than the unit cost o...

Citation Formats

K. Biçe, “Closed-loop supply chain network design under demand, return and quality uncertainty,” M.S. - Master of Science, Middle East Technical University, 2017.