Supply Chain Coordination

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 0 0   Download

House of Risk Method is used to identify the most potential risk agents, while the fuzzy reasoning risk assessment model is used to determine the risk severity by risk agents. Based on the analysis, it is found that risk agent stock out of the product is the most potential risk agent in this industry. To reduce the impact, mitigation strategies are suggested for stock out product risk agents in warehouse are flexible supply base, safety stock, internal coordination, as well as create and control production schedules.

5p longtimenosee10 26-04-2024 5 2   Download

The aim of the study was to explore how the logistics, micro, market and macro coordination dimensions affect the availability of artemisinin-based combination therapies (ACTs) in general hospitals in Uganda. Following a qualitative approach, a multiple case study strategy was used. Specifically, four focus group discussions, each consisting of 8 respondents were conducted from four purposively selected hospitals.

18p longtimenosee10 26-04-2024 6 2   Download