Supply chain uncertainty

This research paper focuses on the critical role of demand forecasting in FMCG, emphasizing the need for LSTM-based deep learning models to deal with demand uncertainty and improve predictive outcomes. Through this exploration, we aim to illuminate the link between demand forecasting and advanced deep learning, enabling FMCG companies to thrive in a highly dynamic business landscape.

8p vifilm 11-10-2024 3 1   Download

This thesis studies logistics capability, supply chain uncertainty and risk management, and logistics performance in the Australian courier industry, from the perspective of resources-based theory. A quantitative research is designed to investigate the relationships among the three latent variables: logistics capability, supply chain uncertainty and risk, and logistics performance. No similar previous study has been found.

287p runthenight04 02-02-2023 16 3   Download

This results in parts that are lighter, have almost zero wastage and afford flexibility to design parts not possible to manufacture using conventional technologies.

17p guineverehuynh 20-06-2020 24 5   Download

In this paper, a stochastic model of a closed-loop supply chain (CLSC) with one risk-averse manufacturer, one risk-averse retailer and one risk-averse third party is developed.

18p tocectocec 24-05-2020 13 2   Download

The purpose of this paper is to investigate the relationship between green supply chain management (GSCM), sustainability and environmental uncertainties through corporate social responsibility (CSR) perspective.

14p tocectocec 24-05-2020 19 1   Download

The proposed study also develops a multi-product and multi-period model based on a mixed integer linear programming (MILP) approach for profit maximization. The study also considers uncertainty in the amount of raw material, processing, storage and distribution of several products flow.

14p tohitohi 22-05-2020 15 1   Download