With the emergence of environmental protection as a global issue, implementing environmental practices for sustaining green supply chain management (GSCM) has received a lot of attention. This study investigates the impact of integration with suppliers and supply disruption risk on environmental practices. It also examines the role of supplier integration and supply disruption risk on performan...

In this study, an optimization model is proposed to design a Global Supply Chain (GSC) for a medical device manufacturer under disruption in the presence of pre-existing competitors and price inelasticity of demand. Therefore, static competition between the distributors’ facilities to more efficiently gain a further share in market of Economic Cooperation Organization trade agreement (ECOTA) is...

Risk for an organization is associated with uncertainties in all areas of its operations. As firms move toward global sourcing, supply chain risk increases dramatically, which is linked to lower financial performance and market value. One major type of supply chain risk is disruptions caused by natural or man-made disasters. In this paper, major factors causing supply chain disruptions are iden...

This article examines the theoretical and practical implications of artificial intelligence (AI) integration in supply chain management (SCM). AI has developed dramatically recent years, embodied by newest generation large language models (LLM) that exhibit human-like capabilities various domains. However, SCM as a discipline seems unprepared for this potential revolution, existing perspectives...

in this paper, a facility location problem of distribution systems, as one of the important and strategic issues in supply chain management, has been studied in a three-level supply chain under a stochastic condition. for this purpose, a two-stage mathematic model has been proposed for the location-allocation problem of distribution systems with regard to backup facilities for disrupting wareho...

To deal with the low accuracy of demand forecasting in supply chain, this paper uses the genetic algorithm to estimate the developing coefficient and the control variable of the GM(1,1) model and predicts the demand of every level in supply chain with this forecasting model, then uses a negotiation algorithm based on game theory to optimize the demand forecast when demand forecast disruption oc...