Optimization of Supply Chain Management in the Manufacturing Industry
Tahri, Mohamed (2024)
2024
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2024051411640
https://urn.fi/URN:NBN:fi:amk-2024051411640
Tiivistelmä
The objective of this thesis was to explore strategies for improving supply chain management performance in the manufacturing industry, aiming to enhance operational efficiency and overall performance within the industry.
Additionally, in the thesis various approaches for enhancing supply chain management practices were investigated, focusing on identifying inefficiencies and bottlenecks within processes to improve operational efficiency. The research also delved into the impact of advanced technologies like artificial intelligence and data analytics on supply chain management. Various methodologies were employed to analyze current supply chain practices, leading to the proposal of strategies for enhancing operational efficiency.
Through comprehensive analysis and evaluation, a deeper understanding of supply chain management was developed. The results of the analysis revealed several key insights into supply chain management practices within the manufacturing industry. For instance, the implementation of artificial intelligence technologies led to significant improvements in supply chain visibility and decision-making processes. Additionally, data analytics tools enabled more accurate demand forecasting and inventory management. These findings underscored the importance of embracing advanced technologies to drive efficiency and competitiveness within the industry, ultimately leading to improved overall performance.
Additionally, in the thesis various approaches for enhancing supply chain management practices were investigated, focusing on identifying inefficiencies and bottlenecks within processes to improve operational efficiency. The research also delved into the impact of advanced technologies like artificial intelligence and data analytics on supply chain management. Various methodologies were employed to analyze current supply chain practices, leading to the proposal of strategies for enhancing operational efficiency.
Through comprehensive analysis and evaluation, a deeper understanding of supply chain management was developed. The results of the analysis revealed several key insights into supply chain management practices within the manufacturing industry. For instance, the implementation of artificial intelligence technologies led to significant improvements in supply chain visibility and decision-making processes. Additionally, data analytics tools enabled more accurate demand forecasting and inventory management. These findings underscored the importance of embracing advanced technologies to drive efficiency and competitiveness within the industry, ultimately leading to improved overall performance.