Supply chain resilience through automation
Junnila, Jesse (2024)
2024
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2024052716492
https://urn.fi/URN:NBN:fi:amk-2024052716492
Tiivistelmä
This bachelor’s thesis explores the impact of automation and Industry 4.0 technologies on enhancing supply chain resilience, with a focus on prevalent challenges encountered during the implementation phase.
The aim of this thesis is to explore the role of automation in enhancing supply chain resilience and to gather key insights that could improve strategic decision-making and successful implementation. Through qualitative research methods utilizing relevant research papers, studies, books, articles, and reports the thesis examines the risks and obstacles associated with adopting automation to enhance supply chain resilience.
The findings highlight significant contribution of automation to supply chain resilience, notably in foreseeing risks and quickly recovering from disruptions. However, challenges such as workforce resistance, significant investment requirements, integration issues, and managerial incapabilities are also identified. These challenges can discourage organizations to implement digitalisation or hinder the implementation process.
From the findings it can be concluded that a comprehensive approach to adapting automation is necessary, due to its broad impacts on organisational culture and long-term resilience targets. Additionally, the role of management is crucial to ensure a smooth implementation process, including strategic alignment of automation initiative, change management, investment in employee development, and stakeholder engagement.
This thesis contributes to an increased understanding of the dynamics between automation and supply chain resilience. The findings offer valuable insights researchers and practitioners seeking information on the complexities of implementing automation within supply chain management.
The aim of this thesis is to explore the role of automation in enhancing supply chain resilience and to gather key insights that could improve strategic decision-making and successful implementation. Through qualitative research methods utilizing relevant research papers, studies, books, articles, and reports the thesis examines the risks and obstacles associated with adopting automation to enhance supply chain resilience.
The findings highlight significant contribution of automation to supply chain resilience, notably in foreseeing risks and quickly recovering from disruptions. However, challenges such as workforce resistance, significant investment requirements, integration issues, and managerial incapabilities are also identified. These challenges can discourage organizations to implement digitalisation or hinder the implementation process.
From the findings it can be concluded that a comprehensive approach to adapting automation is necessary, due to its broad impacts on organisational culture and long-term resilience targets. Additionally, the role of management is crucial to ensure a smooth implementation process, including strategic alignment of automation initiative, change management, investment in employee development, and stakeholder engagement.
This thesis contributes to an increased understanding of the dynamics between automation and supply chain resilience. The findings offer valuable insights researchers and practitioners seeking information on the complexities of implementing automation within supply chain management.