This paper explores how AI drives GCC sector retail towards the fulfillment of the UN SDGs. Analyzing a survey conducted on 410 retail executives, using PLS-SEM, this study underlines the role of AI in promoting operational efficiency, waste reduction, and consumer engagement with greener...

Background: This study explores the use of Mixed-Integer Linear Programming (MILP) models to optimize the collection and transportation of vineyard pruning biomass, a crucial resource for sustainable energy and material production. Efficient biomass logistics play a key role in supporting...

Green Supply Chain Management requires coordinated decisions between the strategic and operational organization layers to address strict green goals. Furthermore, linking CO2 emissions to supply chain operations is not always easy. This study proposes a new mathematical model to minimize CO2...

Background: In the current global market, supply chains are increasingly complex, necessitating agile and sustainable management strategies. Traditional analytical methods often fall short in addressing these challenges, creating a need for more advanced approaches. Methods: This study leverages...

An Inventory System under the trade-credit facility for deteriorating items with Preservation and Promotion in Fuzzy and Cloud Fuzzy Environment -- Non-instantaneous deteriorating inventory model for variable demand and holding cost with quantity discount policy and partial backlogging -- On the...

Analytics and model-based decision-making support -- Demand Forecasting, Production Planning and Inventory Control -- Discrete-Event Simulation of manufacturing processes and inventory control -- Facility location planning and network optimization -- Supply chain risk and resilience analytics.