Multi-objective multi-product sustainable newsvendor management in an emerging economy: Evidence and applications

The idea of a sustainable newsvendor problem has been considered by some researchers recently; nonetheless, an inclusive multi-objective model including all sustainability pillars with multi-product supply chain not designed yet. In this paper, the is developed considering criteria to study two-stage procurement system. classic optimizing supplier-retailer payoff in research illustrate economic perspective sustainability. Moreover, other objectives are formulated social and environmental These minimize effects standard regarding malicious unrecyclable unsold products. To solve compromise programming approach hybridized Lagrange relaxation sub-gradient optimization for proposed model. For more clarification, real-world case from Fast-moving consumer goods (FMCG) industry real data employed alongside sensitivity analysis. evaluate efficiency solving approach, Genetic Algorithm (GA) Simulated Annealing (SA) algorithm were also their parameters tuned using Taguchi method. Comparing obtained results classical model, single objective loses at least 0.76% most 14.1% its achievements trade-off criteria. Furthermore, indicated that both terms optimality solution time, method extraordinary performance compared GA SA.