A scenario-based stochastic programming approach for the product configuration problem under uncertainties and carbon emission regulations

•Stochastic programming approach is employed to formulate product configuration problem.•Benders decomposition is proposed to solve stochastic mixed-integer programming model.•Computational results demonstrate the efficiency of suggested method.•Analysis on impacts of emission regulations on configu...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Transportation research. Part E, Logistics and transportation review Jg. 115; S. 126 - 146
Hauptverfasser: Li, Xiaohong, Yang, Dong, Hu, Mengqi
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Ltd 01.07.2018
Schlagworte:
Benders decomposition algorithm
Carbon emission
Product configuration
Stochastic programming
Benders decomposition algorithm
Carbon emission
Product configuration
Stochastic programming
ISSN:1366-5545, 1878-5794
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:•Stochastic programming approach is employed to formulate product configuration problem.•Benders decomposition is proposed to solve stochastic mixed-integer programming model.•Computational results demonstrate the efficiency of suggested method.•Analysis on impacts of emission regulations on configuration decisions are carried out. To handle the product configuration problem with uncertain supply and demand, stochastic programming approach is applied to formulate the problem as a stochastic mixed-integer programming model. Carbon emission is further integrated into the deployed stochastic model under four different carbon emission regulations. Benders decomposition algorithm is utilized to solve the stochastic model. Computational studies show that the Benders decomposition method can solve large-scale stochastic programming problems with faster convergence rate than commercial solver CPLEX does. The results from the numerical experimental analysis demonstrate the impacts of carbon emission regulations on product configuration decisions.
ISSN:1366-5545
1878-5794
DOI:10.1016/j.tre.2018.04.013